Advertisement
Research Article| Volume 129, P240-250, April 2023

In-hospital mortality risk stratification in children aged under 5 years with pneumonia with or without pulse oximetry: A secondary analysis of the Pneumonia REsearch Partnership to Assess WHO REcommendations (PREPARE) dataset

Open AccessPublished:February 15, 2023DOI:https://doi.org/10.1016/j.ijid.2023.02.005

      Highlights

      • Children with pneumonia whose oxygen level was measured had a lower risk of death.
      • Hypoxemia was frequent among danger signs and chest-indrawing pneumonia cases.
      • Pulse oximeters are essential tools for hospital-based child pneumonia care.
      • Additional interventions to reduce in-hospital pneumonia deaths should be explored.

      Abstract

      Objectives

      We determined the pulse oximetry benefit in pediatric pneumonia mortality risk stratification and chest-indrawing pneumonia in-hospital mortality risk factors.

      Methods

      We report the characteristics and in-hospital pneumonia-related mortality of children aged 2-59 months who were included in the Pneumonia Research Partnership to Assess WHO Recommendations dataset. We developed multivariable logistic regression models of chest-indrawing pneumonia to identify mortality risk factors.

      Results

      Among 285,839 children, 164,244 (57.5%) from hospital-based studies were included. Pneumonia case fatality risk (CFR) without pulse oximetry measurement was higher than with measurement (5.8%, 95% confidence interval [CI] 5.6-5.9% vs 2.1%, 95% CI 1.9-2.4%). One in five children with chest-indrawing pneumonia was hypoxemic (19.7%, 95% CI 19.0-20.4%), and the hypoxemic CFR was 10.3% (95% CI 9.1-11.5%). Other mortality risk factors were younger age (either 2-5 months [adjusted odds ratio (aOR) 9.94, 95% CI 6.67-14.84] or 6-11 months [aOR 2.67, 95% CI 1.71-4.16]), moderate malnutrition (aOR 2.41, 95% CI 1.87-3.09), and female sex (aOR 1.82, 95% CI 1.43-2.32).

      Conclusion

      Children with a pulse oximetry measurement had a lower CFR. Many children hospitalized with chest-indrawing pneumonia were hypoxemic and one in 10 died. Young age and moderate malnutrition were risk factors for in-hospital chest-indrawing pneumonia-related mortality. Pulse oximetry should be integrated in pneumonia hospital care for children under 5 years.

      Keywords

      Background

      Pneumonia and other acute lower respiratory infections (ALRIs) remain the leading cause of death in children aged 1-59 months [
      GBD 2015 LRI Collaborators
      Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory tract infections in 195 countries: a systematic analysis for the Global Burden of Disease Study 2015.
      ]. Over the last 2 decades, substantial progress has been made to reduce mortality and limit unnecessary hospitalizations. Randomized controlled trials demonstrated that children aged 2-59 months with chest-indrawing pneumonia without any general danger sign experience similar treatment failure rates with oral amoxicillin as those managed with injectable penicillin [
      • Addo-Yobo E
      • Chisaka N
      • Hassan M
      • Hibberd P
      • Lozano JM
      • Jeena P
      • et al.
      Oral amoxicillin versus injectable penicillin for severe pneumonia in children aged 3 to 59 months: a randomised multicentre equivalency study.
      ,
      • Hazir T
      • Fox LM
      • Nisar YB
      • Fox MP
      • Ashraf YP
      • MacLeod WB
      • et al.
      Ambulatory short-course high-dose oral amoxicillin for treatment of severe pneumonia in children: a randomised equivalency trial.
      ,
      • Das RR
      • Singh M
      Treatment of severe community-acquired pneumonia with oral amoxicillin in under-five children in developing country: a systematic review.
      ]. In response to these findings, in 2012 the World Health Organization (WHO) revised their pneumonia management guideline [
      World Health Organization
      Recommendations for management of common childhood conditions : evidence for technical update of pocket book recommendations : newborn conditions, dysentery, pneumonia, oxygen use and delivery, common causes of fever, severe acute malnutrition and supportive care.
      ], which was included in the second edition of the WHO Pocket book of hospital care for children [

      World Health Organization. Pocket book of hospital care for children: guidelines for the management of common childhood illnesses. 2nd ed., 2013 ed. Geneva: World Health Organization, 2013.

      ] and the Integrated Management of Childhood Illness chart booklet [
      World Health Organization
      Integrated Management of Childhood Illness (IMCI): chart booklet.
      ] in 2014 (Box 1) [

      World Health Organization. Pocket book of hospital care for children: guidelines for the management of common childhood illnesses. 2nd ed., 2013 ed. Geneva: World Health Organization, 2013.

      ,
      World Health Organization
      Pocket book of hospital care for children: guidelines for the management of common illnesses with limited resources.
      . It recommends that children aged 2-59 months without HIV with chest indrawing but without general danger signs (unable to drink/feed; convulsions; sleepy/lethargic; vomiting everything; severe wheezing; and signs of respiratory distress, including grunting, head nodding, nasal flaring), stridor, severe malnutrition, or hypoxemia (defined as a peripheral transcutaneous oxyhemoglobin saturation [SpO2] <90%) can be treated with oral amoxicillin. Other trials in India [
      • Patel AB
      • Bang A
      • Singh M
      • Dhande L
      • Chelliah LR
      • Malik A
      • et al.
      A randomized controlled trial of hospital versus home based therapy with oral amoxicillin for severe pneumonia in children aged 3–59 months: the IndiaCLEN Severe Pneumonia Oral Therapy (ISPOT) Study.
      ], Malawi [
      • Ginsburg AS
      • Mvalo T
      • Nkwopara E
      • McCollum ED
      • Phiri M
      • Schmicker R
      • et al.
      Amoxicillin for 3 or 5 days for chest-indrawing pneumonia in Malawian children.
      ], Kenya [
      • Agweyu A
      • Gathara D
      • Oliwa J
      • Muinga N
      • Edwards T
      • Allen E
      • et al.
      Oral amoxicillin versus benzyl penicillin for severe pneumonia among Kenyan children: a pragmatic randomized controlled noninferiority trial.
      ], and Pakistan [
      • Bari A
      • Sadruddin S
      • Khan A
      • et al.
      Community case management of severe pneumonia with oral amoxicillin in children aged 2–59 months in Haripur district, Pakistan: a cluster randomised trial.
      ,
      • Soofi S
      • Ahmed S
      • Fox MP
      • MacLeod WB
      • Thea DM
      • Qazi SA
      • et al.
      Effectiveness of community case management of severe pneumonia with oral amoxicillin in children aged 2–59 months in Matiari district, rural Pakistan: a cluster-randomised controlled trial.
      and two observational studies in Papua New Guinea [
      • Morre R
      • Sobi K
      • Pameh W
      • Ripa P
      • Vince JD
      • Duke T
      Safety, effectiveness and feasibility of outpatient management of children with pneumonia with chest indrawing at Port Moresby general hospital, Papua New Guinea.
      ] and Kenya [
      • Onono M
      • Abdi M
      • Mutai K
      • Asadhi E
      • Nyamai R
      • Okoth P
      • et al.
      Community case management of lower chest indrawing pneumonia with oral amoxicillin in children in Kenya.
      ] demonstrated that these children could be safely treated with oral antibiotics at home. However, most studies screened for and excluded hypoxemic children, using definitions ranging from SpO2 <90% to <85%. In addition, none were powered to demonstrate the differences in mortality [
      • Das RR
      • Singh M
      Treatment of severe community-acquired pneumonia with oral amoxicillin in under-five children in developing country: a systematic review.
      ].
      2005 versus 2013 WHO pneumonia hospitalization criteria for those aged 2-59 months.
      Tabled 1
      Pneumonia classificationWHO pocketbook 2005WHO pocketbook 2013
      Non-severe (outpatient treatment)Fast breathing
      Fast breathing for age: RR ≥50 bpm in those aged 2-11 months and RR ≥40 bpm in those aged 12-59 month;
      Fast breathing
      Fast breathing for age: RR ≥50 bpm in those aged 2-11 months and RR ≥40 bpm in those aged 12-59 month;
      and/or chest indrawing
      Severe (hospitalize)Chest indrawingGeneral danger sign
      Danger signs are either according to WHO pocketbook (i.e., central cyanosis, apnea, gasping, grunting, nasal flaring, severe wheezing, head nodding) or according to IMCI general danger sign (inability to drink, lethargy or unconscious, convulsions, vomit everything), stridor in a calm child or weight-for-age z-score <-3. bpm, breaths per minute; RR, respiration rate WHO, World Health Organization.
      or oxygen saturation <90%
      Very severe (hospitalize)General danger signs
      Danger signs are either according to WHO pocketbook (i.e., central cyanosis, apnea, gasping, grunting, nasal flaring, severe wheezing, head nodding) or according to IMCI general danger sign (inability to drink, lethargy or unconscious, convulsions, vomit everything), stridor in a calm child or weight-for-age z-score <-3. bpm, breaths per minute; RR, respiration rate WHO, World Health Organization.
      Not applicable
      a Fast breathing for age: RR ≥50 bpm in those aged 2-11 months and RR ≥40 bpm in those aged 12-59 month;
      b Danger signs are either according to WHO pocketbook (i.e., central cyanosis, apnea, gasping, grunting, nasal flaring, severe wheezing, head nodding) or according to IMCI general danger sign (inability to drink, lethargy or unconscious, convulsions, vomit everything), stridor in a calm child or weight-for-age z-score <-3.bpm, breaths per minute; RR, respiration rate WHO, World Health Organization.
      Chest indrawing is a cardinal feature of respiratory distress that precedes hypoxemia and respiratory failure in children. This inward movement of abdominal and chest wall soft tissue below the rib cage is due to the increased negative intrapleural pressures generated to expand lungs with poor compliance during inspiration [
      • West JB
      Respiratory physiology: the essentials.
      ]. Hypoxemia occurs most commonly when there is ventilation perfusion mismatch in the lungs from an ALRI and is most frequently measured noninvasively by a pulse oximeter device [
      • McCollum ED
      • King C
      • Ahmed S
      • Hanif AAM
      • Roy AD
      • Islam AA
      • et al.
      Defining hypoxaemia from pulse oximeter measurements of oxygen saturation in well children at low altitude in Bangladesh: an observational study.
      ]. However, before COVID-19, when the data for the current analysis were collected, pulse oximetry was limited in many low-resource settings, particularly in primary and community care [
      • Ginsburg AS
      • Van Cleve WC
      • Thompson MIW
      • English M
      Oxygen and pulse oximetry in childhood pneumonia: a survey of healthcare providers in resource-limited settings.
      ,
      • Enoch AJ
      • English M
      • Network Clinical Information
      • McGivern G
      • Shepperd S
      Variability in the use of pulse oximeters with children in Kenyan hospitals: A mixed-methods analysis.
      . It is recognized that in the absence of pulse oximetry, the WHO Integrated Management of Childhood Illness protocol may miss hypoxemia, leading to misclassification of patients who need oxygen and inpatient care [
      World Health Organization. Oxygen therapy for children: a manual for health workers.
      ,
      • Alwadhi V
      • Dewan P
      • Malhotra RK
      • Shah D
      • Gupta P
      Tachypnea and other danger signs vs pulse oximetry for prediction of hypoxia in severe pneumonia/very severe disease.
      ,
      • Bassat Q
      • Lanaspa M
      • Machevo S
      • O'Callaghan-Gordo C
      • Madrid L
      • Nhampossa T
      • et al.
      Hypoxaemia in Mozambican children <5 years of age admitted to hospital with clinical severe pneumonia: clinical features and performance of predictor models.
      ,
      • Chisti MJ
      • Salam MA
      • Ashraf H
      • Faruque ASG
      • Bardhan PK
      • Shahid AS
      • et al.
      Predictors and outcome of hypoxemia in severely malnourished children under five with pneumonia: a case control design.
      ,
      • Usen S
      • Weber M
      • Mulholland K
      • Jaffar S
      • Oparaugo A
      • Omosigho C
      • et al.
      Clinical predictors of hypoxaemia in Gambian children with acute lower respiratory tract infection: prospective cohort study.
      ,
      • Kuti BP
      • Adegoke SA
      • Ebruke BE
      • Howie S
      • Oyelami OA
      • Ota M
      Determinants of oxygen therapy in childhood pneumonia in a resource-constrained region.
      ]. A retrospective Kenyan study conducted in district hospitals without pulse oximeters found that, apart from danger signs, mild to moderate pallor, age <12 months, lower chest indrawing, respiratory rate of 70 breaths or more, admission to a hospital in a malaria-endemic region, and moderate malnutrition were independently associated with pneumonia-related mortality [
      • Agweyu A
      • Lilford RJ
      • English M
      • Irimu G
      • Ayieko P
      • Akech S
      • Githanga D
      • Were F
      • Kigen B
      • Ng'arng'ar S
      • Aduro N
      • Inginia R
      • Mutai B
      • Ochieng G
      • Thuranira L
      • Kanyingi F
      • Kuria M
      • Otido S
      • Rutha K
      • Njiiri P
      • Chabi M
      • Nzioki C
      • Ondere J
      • Emadau C
      • Mutiso C
      • Mutai L
      • Manyasi C
      • Kimutai D
      • Muturi C
      • Mithamo A
      • Kamunya A
      • Kariuki A
      • Wachira G
      • Musabi M
      • Charo S
      • Muinga N
      • Chepkirui M
      • Tuti T
      • Makone B
      • Nyachiro W
      • Mbevi G
      • Julius T
      • Gachau S
      • Ogero M
      • Bitok M
      • Wafula J
      Appropriateness of clinical severity classification of new WHO childhood pneumonia guidance: a multi-hospital, retrospective, cohort study.
      ].
      The overall goal of this study was to understand the value of pulse oximetry in evaluating hospitalized children with pneumonia. We also explored additional clinical characteristics that were risk factors for chest-indrawing pneumonia mortality and could therefore be used to identify children with a high mortality risk. Using the WHO Pneumonia Research Partnership to Assess WHO Recommendations (PREPARE) study dataset, we aimed to (i) describe and compare the clinical characteristics and case fatality risk (CFR) by pneumonia severity among children with and without a pulse oximetry reading at study enrollment and (ii) determine in-hospital mortality risk factors among children aged 2-59 months with chest-indrawing pneumonia, with and without pulse oximetry measurements.

      Methods

      Study sample

      We conducted a secondary analysis of collated datasets from 41 studies included in the WHO PREPARE project. These studies were conducted in 31 countries, including 29 low-middle-income countries (LMICs). Figure 1 describes how the analytic dataset was selected and used for this analysis. A detailed description of the studies is shown in Table 1 [
      • Addo-Yobo E
      • Chisaka N
      • Hassan M
      • Hibberd P
      • Lozano JM
      • Jeena P
      • et al.
      Oral amoxicillin versus injectable penicillin for severe pneumonia in children aged 3 to 59 months: a randomised multicentre equivalency study.
      ,
      • Hazir T
      • Fox LM
      • Nisar YB
      • Fox MP
      • Ashraf YP
      • MacLeod WB
      • et al.
      Ambulatory short-course high-dose oral amoxicillin for treatment of severe pneumonia in children: a randomised equivalency trial.
      ,
      • Ugpo J
      • Lucero M
      • Williams G
      • Lechago M
      • Nillos L
      • Tallo V
      • et al.
      Reactogenicity and tolerability of a non-adjuvanted 11-valent diphtheria-tetanus toxoid Pneumococcal Conjugate Vaccine in Filipino children.
      ,
      • Basnet S
      • Shrestha PS
      • Sharma A
      • Mathisen M
      • Prasai R
      • Bhandari N
      • et al.
      A randomized controlled trial of zinc as adjuvant therapy for severe pneumonia in young children.
      ,
      • Mathew JL
      • Singhi S
      • Ray P
      • Hagel E
      • Saghafian-Hedengren S
      • Bansal A
      • et al.
      Etiology of community acquired pneumonia among children in India: prospective, cohort study.
      ,

      Clara WC. Unpublished data from David. Chiriqui Province, Panama.

      ,
      • Marcone DN
      • Ellis A
      • Videla C
      • Ekstrom J
      • Ricarte C
      • Carballal G
      • et al.
      Viral etiology of acute respiratory infections in hospitalized and outpatient children in Buenos Aires, Argentina.
      ,
      • Bénet T
      • Sánchez Picot V
      • Messaoudi M
      • Chou M
      • Eap T
      • Wang J
      • et al.
      Microorganisms associated with pneumonia in children <5 years of age in developing and emerging countries: the GABRIEL pneumonia multicenter, prospective, case-control study.
      ,
      • McCollum ED
      • Nambiar B
      • Deula R
      • Zadutsa B
      • Bondo A
      • King C
      • et al.
      Impact of the 13-valent Pneumococcal Conjugate Vaccine on clinical and hypoxemic childhood pneumonia over three years in central Malawi: an observational study.
      ,
      • Lazzerini M
      • Seward N
      • Lufesi N
      • Banda R
      • Sinyeka S
      • Masache G
      • et al.
      Mortality and its risk factors in Malawian children admitted to hospital with clinical pneumonia, 2001–12: a retrospective observational study.
      ,
      • Gentile Á
      • Juarez Mdel V
      • Luciön MF
      • Romanin VS
      • Giglio N
      • Bakin J
      Influence of respiratory viruses on the evaluation of the 13-valent Pneumococcal Conjugate Vaccine effectiveness in children under 5 years old: a time-series study for the 2001–2013 period.
      ,
      • Gessner BD
      • Sutanto A
      • Linehan M
      • Djelantik IGG
      • Fletcher T
      • Gerudug IK
      • et al.
      Incidences of vaccine-preventable Haemophilus influenzae type b pneumonia and meningitis in Indonesian children: hamlet-randomised vaccine-probe trial.
      ,
      • Lu Y
      • Baggett HC
      • Rhodes J
      • Thamthitiwat S
      • Joseph L
      • Gregory CJ
      Bayesian latent class estimation of the incidence of chest radiograph-confirmed pneumonia in rural Thailand.
      ,
      • Hirve S
      • Chadha M
      • Lele P
      • Lafond KE
      • Deoshatwar A
      • Sambhudas S
      • et al.
      Performance of case definitions used for influenza surveillance among hospitalized patients in a rural area of India.
      ,
      • Hortal M
      • Estevan M
      • Iraola I
      • De Mucio B
      A population-based assessment of the disease burden of consolidated pneumonia in hospitalized children under five years of age.
      ,
      • Wulandari DA
      • Sudarwati S
      • Tirtosudiro MA
      • Nataprawira HM
      • Kartasasmita CD
      ,
      • Klugman KP
      • Madhi SA
      • Huebner RE
      • Kohberger R
      • Mbelle N
      • Pierce N
      • et al.
      A trial of a 9-valent Pneumococcal Conjugate Vaccine in children with and those without HIV infection.
      ,
      • Neuman MI
      • Monuteaux MC
      • Scully KJ
      • Bachur RG
      Prediction of pneumonia in a pediatric emergency department.
      ,
      • O'Grady KA
      • Torzillo PJ
      • Ruben AR
      • Taylor-Thomson D
      • Valery PC
      • Chang AB
      Identification of radiological alveolar pneumonia in children with high rates of hospitalized respiratory infections: comparison of WHO-defined and pediatric pulmonologist diagnosis in the clinical context.
      ,
      • Ferrero F
      • Nascimento-Carvalho CM
      • Cardoso MR
      • Camargos P
      • March MF
      • Berezin E
      • et al.
      Radiographic findings among children hospitalized with severe community-acquired pneumonia.
      ,
      • Asghar R
      • Banajeh S
      • Egas J
      • Hibberd P
      • Iqbal I
      • Katep-Bwalya M
      • et al.
      Chloramphenicol versus ampicillin plus gentamicin for community acquired very severe pneumonia among children aged 2–59 months in low resource settings: multicentre randomised controlled trial (SPEAR study).
      ,
      • Turner C
      • Turner P
      • Carrara V
      • Burgoine K
      • Tha Ler Htoo S
      • Watthanaworawit W
      • et al.
      High rates of pneumonia in children under two years of age in a South East Asian refugee population.
      ,
      • Wadhwa N
      • Chandran A
      • Aneja S
      • Lodha R
      • Kabra SK
      • Chaturvedi MK
      • et al.
      Efficacy of zinc given as an adjunct in the treatment of severe and very severe pneumonia in hospitalized children 2–24 mo of age: a randomized, double-blind, placebo-controlled trial.
      ,
      • Cutts FT
      • Zaman SMA
      • Enwere G
      • Jaffar S
      • Levine OS
      • Okoko JB
      • et al.
      Efficacy of nine-valent Pneumococcal Conjugate Vaccine against pneumonia and invasive pneumococcal disease in the Gambia: randomised, double-blind, placebo-controlled trial.
      . The primary data collection occurred between 1994 and 2014, and countries were at varying stages of Pneumococcus and Haemophilus influenzae type B (Hib) vaccine implementation.
      Figure 1
      Figure 1WHO signs: Fast breathing (respiratory rate 50 or more per minute in 2-11 months old and 40 or more per minute in 12-59 months old), lower chest indrawing, or danger signs (defined below)†Of 26 hospital-based studies in the PREPARE dataset, 17 studies reported information on the presence of chest indrawing in children 2-59 months of age.‡Danger signs are either according to WHO pocketbook (i.e., central cyanosis, apnea, gasping, grunting, nasal flaring, severe wheezing, head nodding) or according to IMCI general danger sign (inability to drink, lethargy or unconscious, convulsions, vomit everything), stridor in a calm child or weight-for-age z-score <-3.
      SpO2: oxygen saturation; WHO, World Health Organization.
      Table 1Characteristics of hospital-based studies included in the analysis (n = 164,244).
      First authorStudy designYears of studyCountry(ies) of studyYear of introductionNSpO2

      93-100%, n (%)
      SpO2

      90-92%, n (%)
      SpO2<90%, n (%)No SpO2 value, n (%)Chest indrawing, n (%)Deaths, n (%)
      PCVHiB
      Addo-YoboRandomized controlled trial1998-2000Colombia

      Ghana

      India

      Mexico

      Pakistan

      South Africa

      Vietnam

      Zambia
      2011

      2012

      No

      2009

      2014

      2009

      No

      2013
      1998

      2002

      2015

      1999

      2009

      1999

      2010

      2004
      16281041 (63.9%)323 (19.8%)240 (14.7%)24 (1.5%)1534 (94.2%)15 (0.9%)
      UgpoProspective observational1994-2000Philippines202020121097678 (61.8%)227 (20.7%)190 (17.3%)2 (0.2%)436 (39.7%)19 (1.7%)
      BasnetRandomized controlled trial2006-2008Nepal2015200963868 (10.7%)146 (22.9%)423 (66.3%)1 (0.2%)192 (30.1%)6 (0.9%)
      MathewProspective cohort2011-2013IndiaNo201518331192 (65.0%)283 (15.4%)341 (18.6%)17 (0.9%)0 (0.0%)148 (8.2%)
      ClaraRetrospective cohort2011-2013Panama201020004634 (73.9%)1 (2.2%)9 (19.6%)2 (4.3%)11 (23.9%)1 (2.4%)
      MarconeProspective, cross-sectional2008-2010Argentina2012199749741 (8.2%)76 (15.3%)32 (6.4%)348 (70.0%)0 (0.0%)0 (0.0%)
      BenetProspective, case-control study2010-2014Cambodia

      China

      Haiti

      India

      Madagascar

      Mali

      Paraguay
      2015

      No

      2018

      No

      2012

      2011

      2012
      2010

      No

      2012

      2015

      2008

      2007

      2002
      833519 (62.3%)150 (18.0%)79 (9.5%)85 (10.2%)215 (25.8%)19 (2.3%)
      McCollumProspective cohort2012-2014Malawi2011200214,0329629 (68.6%)1190 (8.5%)1352 (9.6%)1861 (13.3%)2658 (18.9%)439 (3.1%)
      LazzeriniProspective cohort2001-2012Malawi20112002101,1820 (0.0%)0 (0.0%)0 (0.0%)101,182 (100.0%)46,160 (45.6%)6027 (6.0%)
      GentileRetrospective observational2001-2013Argentina2012199730564 (21.0%)111 (36.4%)115 (37.7%)15 (4.9%)0 (0.0%)3 (1.0%)
      GessnerRetrospective cohort1999-2001IndonesiaNo201452442177 (41.5%)1238 (23.6%)1780 (33.9%)49 (0.9%)4174 (79.6%)483 (9.2%)
      LuRetrospective cross-sectional with follow-up2005-2010ThailandNo201918,9426664 (35.2%)977 (5.2%)791 (4.2%)10,510 (55.5%)3777 (19.9%)106 (0.6%)
      HazirRandomized controlled trial2005-2007Pakistan2014200920670 (0.0%)0 (0.0%)0 (0.0%)2067 (100%)1916 (92.7%)0 (0.0%)
      HirveProspective observational2009-2011IndiaNo20152490 (0.0%)0 (0.0%)0 (0.0%)249 (100%)0 (0.0%)0 (0.0%)
      HortalProspective observational2009-2012Uruguay20081994553413 (74.7%)79 (14.3%)56 (10.1%)5 (0.9%)401 (72.5%)6 (1.1%)
      WulandariRetrospective cohort2012-2016IndonesiaNo20141089276 (25.3%)200 (18.4%)330 (30.3%)283 (26.0%)249 (22.9%)61 (5.6%)
      KlugmanRandomized controlled trail1998-2000South Africa2009199981134557 (56.2%)1813 (22.4%)1581 (19.5%)162 (2.0%)675 (8.3%)418 (5.1%)
      NeumanProspective cohort2006-2009USA20001985576501 (87.0%)41 (7.1%)19 (3.3%)15 (2.6%)0 (0.0%)0 (0.0%)
      O'GradyRandomized controlled trial2001-2002Australia200119939076 (84.4%)6 (6.7%)1 (1.1%)7 (7.8%)17 (18.9%)0 (0.0%)
      FerreroProspective observational1998-2002Argentina201219971,3570 (0.0%)0 (0.0%)0 (0.0%)1357 (100%)1233 (90.9%)21 (1.5%)
      AsgharRandomized controlled trial2000-2004Bangladesh

      Ecuador

      India

      Mexico Pakistan Yemen

      Zambia
      2015

      2010

      No

      2009

      2014

      2011

      2013
      2009

      2003

      2015

      1999

      2009

      2005

      2004
      894180 (20.1%)131 (14.6%)577 (64.5%)6 (0.7%)0 (0.0%)46 (5.1%)
      TurnerProspective observational2007-2008ThailandNo2019952602 (63.2%)183 (19.2%)37 (3.9%)130 (13.7%)276 (29.0%)0 (0.0%)
      WadhwaRandomized controlled trial2007-2010IndiaNo2015438350 (79.9%)66 (15.1%)17 (3.9%)5 (1.1%)256 (58.4%)7 (1.6%)
      CuttsRandomized controlled trial2002-2004Gambia2009199715891179 (74.2%)113 (7.1%)110 (6.9%)187 (11.8%)76 (4.8%)96 (6.0%)
      PCV: Pneumoccocus conjugate vaccine, HiB: Haemophilus influenzae type B, SpO2: oxygen saturation

      Inclusion and exclusion criteria

      The patient records of hospitalized children aged 2-59 months with WHO-defined pneumonia and had survival outcome were included in the current analyses. We excluded patient records from community-based studies, those without WHO signs for pneumonia classification, or those who had no survival outcomes (Figure 1). Children received hospital-based care, including antibiotics and supplemental oxygen when indicated and available according to local norms.

      Definitions and variables

      The WHO pneumonia severity was defined as fast breathing (respiratory rate above the age-specific cut-off), chest indrawing, or danger sign (Box 1). Before the 2012 WHO guidance revision [
      World Health Organization
      Recommendations for management of common childhood conditions : evidence for technical update of pocket book recommendations : newborn conditions, dysentery, pneumonia, oxygen use and delivery, common causes of fever, severe acute malnutrition and supportive care.
      ], it was recommended that all children with chest indrawing, even those without danger signs, should be hospitalized for injectable antibiotics and supportive care. Variables were chosen a priori due to clinical significance and potential association with mortality based on previous studies. These variables include: age, sex, weight, weight-for-age z-score, temperature (normothermia [35.5-37.9°C], fever [≥38°C], and hypothermia [<35.5°C]), age-adjusted tachypnea, severe tachypnea (defined as respiratory rate ≥70 breaths per minute), signs of severe respiratory distress (i.e., grunting, head nodding, or nasal flaring), and SpO2 (if reported) [

      World Health Organization. Pocket book of hospital care for children: guidelines for the management of common childhood illnesses. 2nd ed., 2013 ed. Geneva: World Health Organization, 2013.

      ,
      World Health Organization
      Integrated Management of Childhood Illness (IMCI): chart booklet.
      ,
      World Health Organization. Oxygen therapy for children: a manual for health workers.
      . Although pallor and residence in malaria hyperendemic regions have been previously described as pneumonia-related mortality risk factors [
      • Agweyu A
      • Lilford RJ
      • English M
      • Irimu G
      • Ayieko P
      • Akech S
      • Githanga D
      • Were F
      • Kigen B
      • Ng'arng'ar S
      • Aduro N
      • Inginia R
      • Mutai B
      • Ochieng G
      • Thuranira L
      • Kanyingi F
      • Kuria M
      • Otido S
      • Rutha K
      • Njiiri P
      • Chabi M
      • Nzioki C
      • Ondere J
      • Emadau C
      • Mutiso C
      • Mutai L
      • Manyasi C
      • Kimutai D
      • Muturi C
      • Mithamo A
      • Kamunya A
      • Kariuki A
      • Wachira G
      • Musabi M
      • Charo S
      • Muinga N
      • Chepkirui M
      • Tuti T
      • Makone B
      • Nyachiro W
      • Mbevi G
      • Julius T
      • Gachau S
      • Ogero M
      • Bitok M
      • Wafula J
      Appropriateness of clinical severity classification of new WHO childhood pneumonia guidance: a multi-hospital, retrospective, cohort study.
      ], these data were not routinely included in our dataset. Some of the studies that contributed to the dataset were multicountry and included malaria hyperendemic regions and nonhyperendemic regions, but the dataset identifies cases by study and does not include if the case was from a specific country. Our primary outcome of interest was in-hospital pneumonia-related mortality.

      Statistical analysis

      To address the first objective, we described and compared the frequency, proportion with 95% confidence interval (CI), mean, median, and missingness of data on the clinical characteristics at the time of admission by pneumonia severity and if pulse oximetry was measured. Then, we reported the CFR by WHO pneumonia severity and compared these CFRs by the presence of pulse oximetry measurements. Pulse oximetry was categorized into no SpO2 measurement and any SpO2 measured at presentation. The measured group was further stratified into SpO2 <90%, 90-92%, and 93-100% to explore the impact of these categories on CFR [
      • Hooli S
      • Colbourn T
      • Lufesi N
      • Costello A
      • Nambiar B
      • Thammasitboon S
      • et al.
      Predicting hospitalised paediatric pneumonia mortality risk: an external validation of RISC and mRISC, and local tool development (RISC-Malawi) from Malawi.
      ,
      • Lazzerini M
      • Sonego M
      • Pellegrin MC
      Hypoxaemia as a mortality risk factor in acute lower respiratory infections in children in low and middle-income countries: systematic review and meta-analysis.
      .
      For the second objective, we exclusively used the data from the chest-indrawing pneumonia cases subset to fit two mixed-effects logistic regression models to explore the associations between demographic characteristics, nutritional status, and clinical signs at initial presentation with mortality. Mixed-effects modeling was chosen because some parameters had clear fixed effects on the outcome (tachypnea vs no tachypnea), whereas we assumed other parameters had a variable or unknown effect on the outcome (male vs female). In addition, we included variables to reflect the study type (observational vs randomized controlled trial) and pneumococcal vaccine (PCV) implementation at time of data collection because these factors had clear effects on mortality. Heterogeneity was accounted for at each study level. The first model included chest-indrawing cases with pulse oximetry measurements at hospitalization, and the second included those without pulse oximetry measurements. In the model that included pulse oximetry, SpO2 categories (<90%, 90-92%, and >93%) were treated as ordinal co-variables. To assess for bias, we described the variable missingness. We then conducted a bivariate analysis with complete cases. Variables with >15% missingness were excluded from the multivariable model. We reported the adjusted odds ratio (aOR) with 95% CI.

      Results

      Included studies

      Among the 285,839 children from 41 studies in the PREPARE dataset, 164,244 (57.5%) from 26 of the 41 included studies (conducted in 29 countries) met the inclusion criteria for analysis (Figure 1 and Table 1). All cases that met the inclusion criteria were enrolled in-hospital-based studies. Pulse oximetry measurements were reported in 27.8% (n = 45,675) of cases. Among the 164,244 children included in the analyses, there were 7921 deaths (CFR 4.8%). Of included cases, 12.6% (n = 20,672) had only fast-breathing pneumonia, 39.1% (n = 64,256) had chest indrawing with or without fast breathing, and 48.3% (n = 79,316) had any danger sign at the time of admission.
      The majority of cases with a pulse oximetry measurement (62.5%, 28,554/45,675) were from three studies conducted in Malawi [
      • McCollum ED
      • Nambiar B
      • Deula R
      • Zadutsa B
      • Bondo A
      • King C
      • et al.
      Impact of the 13-valent Pneumococcal Conjugate Vaccine on clinical and hypoxemic childhood pneumonia over three years in central Malawi: an observational study.
      ] (26.6%, n = 12,171), Thailand [
      • Lu Y
      • Baggett HC
      • Rhodes J
      • Thamthitiwat S
      • Joseph L
      • Gregory CJ
      Bayesian latent class estimation of the incidence of chest radiograph-confirmed pneumonia in rural Thailand.
      ] (18.5%, n = 8432), and South Africa [
      • Klugman KP
      • Madhi SA
      • Huebner RE
      • Kohberger R
      • Mbelle N
      • Pierce N
      • et al.
      A trial of a 9-valent Pneumococcal Conjugate Vaccine in children with and those without HIV infection.
      ] (17.4%, n = 7951) (Table 1). For chest-indrawing pneumonia cases with pulse oximetry measurements (n = 12936), 20.5% were from Malawi [
      • McCollum ED
      • Nambiar B
      • Deula R
      • Zadutsa B
      • Bondo A
      • King C
      • et al.
      Impact of the 13-valent Pneumococcal Conjugate Vaccine on clinical and hypoxemic childhood pneumonia over three years in central Malawi: an observational study.
      ] and 32.3% were from Indonesia [
      • Gessner BD
      • Sutanto A
      • Linehan M
      • Djelantik IGG
      • Fletcher T
      • Gerudug IK
      • et al.
      Incidences of vaccine-preventable Haemophilus influenzae type b pneumonia and meningitis in Indonesian children: hamlet-randomised vaccine-probe trial.
      ].
      A countrywide pneumonia surveillance study conducted in Malawi from 2001 to 2012 provided 85.3% (n = 101,182/118,569) of cases without pulse oximetry measurement [
      • Lazzerini M
      • Seward N
      • Lufesi N
      • Banda R
      • Sinyeka S
      • Masache G
      • et al.
      Mortality and its risk factors in Malawian children admitted to hospital with clinical pneumonia, 2001–12: a retrospective observational study.
      ]. This study contributed 90.0% (n = 46,160/51,320) of the cases with chest-indrawing pneumonia without pulse oximetry measurement. Four studies with overall CFRs ≥6.0% were from India [
      • Mathew JL
      • Singhi S
      • Ray P
      • Hagel E
      • Saghafian-Hedengren S
      • Bansal A
      • et al.
      Etiology of community acquired pneumonia among children in India: prospective, cohort study.
      ] (n = 1833, CFR 8.2%), Indonesia [
      • Gessner BD
      • Sutanto A
      • Linehan M
      • Djelantik IGG
      • Fletcher T
      • Gerudug IK
      • et al.
      Incidences of vaccine-preventable Haemophilus influenzae type b pneumonia and meningitis in Indonesian children: hamlet-randomised vaccine-probe trial.
      ] (n = 5244, CFR 9.2%), the Gambia [
      • Cutts FT
      • Zaman SMA
      • Enwere G
      • Jaffar S
      • Levine OS
      • Okoko JB
      • et al.
      Efficacy of nine-valent Pneumococcal Conjugate Vaccine against pneumonia and invasive pneumococcal disease in the Gambia: randomised, double-blind, placebo-controlled trial.
      ] (n = 1589, CFR 6.0%), and Malawi [
      • Lazzerini M
      • Seward N
      • Lufesi N
      • Banda R
      • Sinyeka S
      • Masache G
      • et al.
      Mortality and its risk factors in Malawian children admitted to hospital with clinical pneumonia, 2001–12: a retrospective observational study.
      ] (n = 101,182, CFR 6.0%).

      Clinical characteristics

      The overall hypoxemia (SpO2 <90%) prevalence was 17.7% (95% CI 17.3-18.0%). A nearly similar prevalence of hypoxemia was observed in patients with chest-indrawing pneumonia (19.7%; 95% CI 19.0-20.4%) and patients with danger sign pneumonia (20.7%; 95% CI 20.2-21.2%). Of the 164,244 cases in the dataset, 6.1% reported data on signs of severe respiratory distress. Children with chest-indrawing pneumonia with and without pulse oximetry measurements had similar characteristics except for differences in the prevalence of temperature ≥38°C (35.9% with vs 40.5% without SpO2) and severe tachypnea (10.7% with vs 13.9% without SpO2), which might reflect the differences in frequency of missing data among cases without an SpO2 measurement (Table 2). Among fast-breathing pneumonia cases, a larger proportion of children with versus without pulse oximetry measurements were aged 2-5 months (14.1% with vs 9.7% without SpO2). Otherwise, the demographic and clinical characteristics by pneumonia severity were similar between the SpO2 measured and not measured cohorts.
      Table 2Baseline characteristics of hospitalized children aged 2-59 months with pneumonia by pneumonia classification and pulse oximetry assessment (N = 164,244).
      Baseline characteristicsFast breathing (n = 20,672)Chest indrawing (n = 64,256)Danger signs
      Danger signs are either according to WHO pocketbook [6]; i.e.; central cyanosis, apnea, gasping, grunting, nasal flaring, audible wheeze, head nodding) or according to IMCI [7]; i.e.; general danger sign (inability to drink, lethargy or unconscious, convulsions, vomit everything), stridor in a calm child or weight-for-age z-score <-3.
      (n = 79,316)
      Pulse oximetry not measured (n = 11,124)Pulse oximetry measured (n = 9548)Pulse oximetry not measured (n = 51,320)Pulse oximetry measured (n = 12,936)Pulse oximetry not measured (n = 56,125)Pulse oximetry measured (n = 23,191)
      Study design

       Clinical trial

       Observational study


      56 (0.5, 0.4, 0.6)

      11,068 (99.5, 99.3, 99.6)


      1259 (13.2, 12.5, 13.9)

      8289 (86.8, 86.1, 87.5)


      1949 (3.8, 3.6, 4.0) 49,371 (96.2, 96.0, 96.4)


      2717 (21.0, 20.3, 21.7)

      10,219 (79.0, 78.3, 79.7)


      454 (0.8, 0.7, 0.9)

      55,671 (99.2, 99.1, 99.3)


      9022 (8.9, 38.3, 39.5)

      14,169 (61.1, 60.5, 61.7)
      Pneumococcal vaccine rollout

       Yes

       No


      29 (0.3, 0.2, 0.4)

      11,095 (99.7, 99.6, 99.8)


      903 (9.5, 8.9, 10.1)

      8645 (90.5, 89.9, 91.1)


      546 (1.1, 1.0, 1.2)

      50,774 (98.9, 98.8, 99.0)


      2524 (19.5, 18.8, 20.2)

      10,412 (80.5, 79.8, 81.2)


      1293 (2.3, 2.2, 2.4)

      54,832 (97.7, 97.6, 97.8)


      9336 (40.3, 39.6, 40.9)

      13,855 (59.7, 59.1, 60.4)
      Age in months

       median value, (IQR)

      Age category

       2-5 months old, n (%, 95% CI)

       6-11 months old, n (%, 95% CI)

       12-59 months old, n (%, 95% CI)


      18.4 (12.2, 28.1)

      1084 (9.7, 9.2-10.3)

      1592 (14.3, 13.7-14.9)

      8448 (75.9, 75.1-76.7)


      17.6 (10.5, 27.1)

      1345 (14.1, 13.4- 14.8)

      1371 (14.4, 13.7-15.1)

      6832 (71.6, 70.6- 72.5)


      10.0 (5.0, 17.9)

      17,636 (33.3, 32.9-33.7)

      14,608 (28.5, 28.1-28.8)

      19,636 (38.3, 37.8-38.7)


      9.5 (5.0, 17.8)

      4117 (31.8, 31.0-32.6)

      3762 (29.1, 28.3-29.9)

      5057 (39.1, 38.2-39.9)


      10.0 (5.0, 19.0)

      18,509 (33.0, 32.6-33.4)

      15,259 (27.2, 26.8-27.6)

      22,357 (39.8, 39.4-40.2)


      10.1 (5.0, 18.9)

      7088 (30.6, 30.0-31.2)

      6379 (27.5, 26.9-28.1)

      9724 (41.9, 41.3-42.6)
      Sex

       Male, n (%, 95% CI)

       Female, n (%, 95% CI)

      Missing, n (%)


      6102 (54.8, 53.9-55.8)

      4944 (44.4, 43.5-45.4)

      78 (0.7)


      5466 (57.2, 56.2-58.2)

      4049 (42.4, 41.4-43.4)

      33 (0.4)


      27,302 (53.2, 52.8-53.6)

      22,939 (44.7, 44.3-45.1)

      1,079 (2.1)


      6591 (50.9, 50.1-51.8)

      6290 (48.6, 47.7-49.4)

      55 (0.4)


      30,783 (54.8, 54.4-55.2)

      24,263 (43.2, 42.8-43.6)

      1079 (1.9)


      13,342 (57.5, 56.9-58.1)

      9689 (41.8, 41.1-42.4)

      160 (0.7)
      Weight (in kg)

       Mean (SD)

      Missing, n (%)


      10.3 (3.1)

      3604 (32.4)


      10.2 (3.4)

      1362 (14.3)


      8.4 (2.7)

      2171 (4.2)


      8.4 (3.53)

      840 (6.5)


      8.1 (2.8)

      1866 (3.3)


      8.1 (3.1)

      1356 (5.8)
      WAZ

       >-2, n (%, 95% CI)

       -3 <WAZ ≤-2, n (%, 95% CI)

       <-3 WAZ

      Missing, n (%)


      6373 (57.3, 56.4-58.2)

      947 (8.5, 8.0-9.0)

      NA

      3804 (34.2)


      6760 (70.8, 69.9-71.7)

      1123 (11.8, 11.1-12.4)

      NA

      1665 (17.4)


      39,279 (76.5, 76.2-76.9)

      7357 (14.3, 14.0-14.6)

      NA

      4684 (9.1)


      9680 (74.8, 74.1-75.6)

      1964 (15.2, 14.6-15.8)

      NA

      1292 (10.0)


      35,211 (62.7, 62.3-63.1)

      6747 (12.0, 11.7-12.3)

      9738 (17.3, 17.0-17.7)

      4429 (7.9)


      14,073 (60.7, 60.0-61.3)

      2637 (11.4, 11.0-11.8)

      4076 (17.6, 17.1-18.1)

      2405 (10.4)
      Body temperature

       35.5-37.9 C, n (%, 95% CI)

       ≥38.0 C, n (%, 95% CI)

       <35.5 C, n (%, 95% CI)

      Missing, n (%)


      4765 (42.8, 41.9-43.8)

      6042 (54.3, 53.4-55.2)

      20 (0.2, 0.1-0.3)

      297 (2.7)


      5350 (56.0, 55.0-57.0)

      4036 (42.3, 41.3-43.3)

      21 (0.2, 0.1-0.3)

      141 (1.5)


      22,936 (44.7, 44.3-45.1)

      20,808 (40.5, 40.1-41.0)

      364 (0.7, 0.-0.8)

      7212 (14.0)


      8147 (63.0, 62.1-63.8)

      4641 (35.9, 35.0-36.7)

      37 (0.3, 0.2-0.4)

      111 (0.8)


      24,501 (43.6, 43.2-44.1)

      21,389 (38.1, 37.7-38.5)

      662 (1.2, 1.1-1.3)

      9573 (17.1)


      14,588 (62.9, 62.3-63.5)

      7777 (33.5, 32.9-34.1)

      201 (0.9, 0.7-1.0)

      625 (2.7)
      Respiratory rate (breaths/min)

       median (IQR)

      Respiratory rate category

       ≥70, n (%, 95% CI)

       <70, n (%, 95% CI)

      Missing, n (%)


      48.0 (42.0, 58.0)

      623 (5.6, 5.2-6.0)

      10,501 (94.4, 93.9-94.8)

      0 (0.0)


      50.0 (44.0,58.0)

      416 (4.4, 3.9-4.8)

      9132 (95.6, 95.2-96.0)

      0 (0.0)


      60.0 (53.0-66.0)

      7136 (13.9, 13.6-14.2)

      38,749 (75.5, 75.1-75.9)

      5435 (10.6)


      56.0 (48.0, 64.0)

      1379 (10.7, 10.1-11.2)

      11,034 (85.3, 84.7-85.9)

      523 (4.0)


      60.0 (54.0, 68.0)

      10,315 (18.4, 18.1-18.7)

      38,351 (68.3, 67.9-68.7)

      7459 (13.3)


      56.0 (48.0, 64.0)

      3302 (14.2, 13.8-14.7)

      19,293 (83.2, 82.7-83.7)

      596 (2.6)
      SpO2

       Median value (%), (IQR)

      SpO2 category

       SpO2 93-100%, n (%, 95% CI)

       SpO2 90-92%, n (%, 95% CI)

       SpO2 < 90%, n (%, 95% CI)


      NA


      96.0 (93.0, 97.0)

      7572 (79.3, 78.5-80.1)

      1243 (13.0, 12.3-13.7)

      733 (7.7, 7.1-8.3)


      NA



      94.0 (90.0, 96.0)

      8015 (62.0, 61.1-62.8)

      2375 (18.4, 17.7-19.0)

      2546 (19.7, 19.0-20.4)


      NA



      94.0 (90.0, 97.0)

      14,654 (63.2, 62.6-63.8)

      3736 (16.1, 17.8-19.1)

      4801 (20.7, 20.2-21.2)
      Outcome

       Death, n (%, 95% CI)

       Survived, n (%, 95% CI)


      97 (0.9, 0.7-1.1)

      11,027 (99.1, 98.9-99.3)


      61 (0.6, 0.5-0.8)

      9487 (99.4, 99.2-99.5)


      1496 (2.9, 2.8-3.1)

      49,824 (97.1, 96.9-97.2)


      450 (3.5, 3.2-3.8)

      12,486 (96.5, 96.2-96.8)


      4,747 (8.5, 8.2-8.7)

      51,378 (91.5, 91.3-91.8)


      1070 (4.6, 4.3-4.9)

      22,121 (95.4, 95.1-95.6)
      SpO2: peripheral capillary oxyhemoglobin saturation, IQR: interquartile range, CI: confidence interval, SD: standard deviation, WAZ: WHO weight-for-age z-score; WHO, World Health Organization.
      a Danger signs are either according to WHO pocketbook

      World Health Organization. Pocket book of hospital care for children: guidelines for the management of common childhood illnesses. 2nd ed., 2013 ed. Geneva: World Health Organization, 2013.

      ; i.e.; central cyanosis, apnea, gasping, grunting, nasal flaring, audible wheeze, head nodding) or according to IMCI
      World Health Organization
      Integrated Management of Childhood Illness (IMCI): chart booklet.
      ; i.e.; general danger sign (inability to drink, lethargy or unconscious, convulsions, vomit everything), stridor in a calm child or weight-for-age z-score <-3.

      Case fatality risk

      In Table 3, we compare the CFR of cases with and without pulse oximetry integrated into their care. Column 1 reflects the data from four studies with 100% missing SpO2 values. Pulse oximetry was not documented in these studies because it was not integrated into the overall study design. Column 2 reflects the data from studies with <100% missing values. Except for two retrospective studies by Lu (55.5%) and Wulandari (26.0%), all studies had <15% missing SpO2 values. We chose to include the Lu and Wulandari studies in column 2 because the subanalyses suggested that pulse oximetry measurements were missing at random because there was no difference in the CFR among children with and without a documented SpO2 measurement. Most missing measurements were in children with fast-breathing pneumonia, and pulse oximetry is routinely not used in these cases.
      Table 3CFR of children aged 2-59 months hospitalized with pneumonia by pulse oximetry assessment and pneumonia classification (n = 164,244).
      ParametersChildren in which SpO2 reading was not availableChildren with any SpO2 readingChildren in which SpO2 reading was available
      SpO2 reading category
      Studies with 100% missing valuesStudies with 1-99% missing valuesSpO2 <90%SpO2 90-92%SpO2 93-100%
      Deaths/total (CFR, 95% CI)Deaths/total (CFR, 95% CI)Deaths/total (CFR, 95% CI)Deaths/total (CFR, 95% CI)Deaths/total (CFR, 95% CI)Deaths/total (CFR, 95% CI)
      Any severity of pneumonia6048/104855

      (5.8%, 5.6-5.9%)
      292/13714

      (2.1%, 1.9-2.4%)
      1581/45675

      (3.5%, 3.3-3.6%)
      851/8080

      (10.5%, 9.9-11.2%)
      186/7354

      (2.5%, 2.2-2.9%)
      544/30241

      (1.8%, 1.6-1.9%)
      Pneumonia Classification
       Fast breathing57/1944

      (2.9%, 2.2-3.8%)
      40/9180

      (0.4%, 0.3-0.6%)
      61/9548

      (0.6%, 0.5-0.8%)
      20/733

      (2.5%, 1.7-4.2%)
      7/1243

      (0.6%, 0.2-1.1%)
      34/7572

      (0.4%, 0.3-0.6%)
       Lower chest indrawing1446/49309

      (2.9%, 2.8-3.1%)
      50/2011

      (2.5%, 1.8-3.3%)
      450/12936

      (3.5%, 3.2-3.8%)
      262/2546

      (10.3%, 9.1-11.5%)
      61/2375

      (2.6%, 2.0-3.3%)
      127/8015

      (1.6%, 1.3-1.9%)
       Danger signs
      Danger signs are either according to World Health Organization pocketbook; i.e.; central cyanosis, apnea, gasping, grunting, nasal flaring, severe wheezing, head nodding) or according to IMCI; i.e.; general danger sign (inability to drink, lethargy or unconscious, convulsions, vomit everything), stridor in a calm child or weight-for-age z-score <-3.
      4545/53602

      (8.5%, 8.2-8.7%)
      202/2523

      (8.0%, 7.0-9.1%)
      1070/23191

      (4.6%, 4.3-4.9%)
      569/4801

      (11.8%, 10.9-12.8%)
      118/3736

      (3.2%, 2.6-3.8%)
      383/14654

      (2.6%, 2.4-2.9%)
      CFR, case fatality risk; CI, confidence interval; SpO2, peripheral capillary oxyhemoglobin saturation.
      a Danger signs are either according to World Health Organization pocketbook; i.e.; central cyanosis, apnea, gasping, grunting, nasal flaring, severe wheezing, head nodding) or according to IMCI; i.e.; general danger sign (inability to drink, lethargy or unconscious, convulsions, vomit everything), stridor in a calm child or weight-for-age z-score <-3.
      The CFR of patients without pulse oximetry measurement integrated as part of their care was significantly higher than those with a recorded measurement (5.8% vs 2.1%) (Table 3). This was particularly notable in children with any danger sign because those without a pulse oximetry measurement had a CFR of 8.5% (95% CI 8.2-8.7%) versus 4.6% (95% CI 4.3-4.9%) among those with a measurement. In patients with SpO2 measurement, independent of hypoxemia, the overall CFR of chest-indrawing pneumonia was 3.5% (95% CI 3.2-3.8%) versus 4.6% (95% CI 4.3-4.9%) in danger sign cases. Hypoxemic pneumonia cases of SpO2 <90% with a danger sign or chest indrawing had high CFRs of 11.8% and 10.3%, respectively. The CFR of patients with chest indrawing with SpO2 <90% (10.3%, 9.1-11.5%) was four times higher than those with an SpO2 of 90-92% (2.6%; 95% CI 2.0-3.3%) and six times higher than those with an SpO2 of 93-100% (1.6%; 95% CI 1.3-1.9%) (Table 3).

      Mortality risk factors among chest-indrawing cases

      We report the models of risks for chest-indrawing pneumonia-associated mortality with (Table 4) and without (Supplementary Tables 1 and 2) pulse oximetry measurements. Of cases with a measured SpO2, age bands 2-5 months (aOR 9.94, 95% CI 6.67-14.84) and 6-11 months (aOR 2.01, 95% CI 1.27-3.18), SpO2 <90% (aOR 3.47, 95% CI 2.66-4.52), -3 <weight-for-age z-score <-2 (aOR 2.67, 95% CI 1.71-4.16), and female sex (aOR 1.82, 95% CI 1.43-2.32) were associated with in-hospital mortality (Table 4). Notably, 41.8% (95% CI 37.2-46.5%; 188/450) of deaths occurred in children with an SpO2 >90%. Children with chest-indrawing pneumonia without a pulse oximetry measurement had similar pneumonia-related mortality risk factors (Supplementary Table 1). Because 90.0% of these cases came from Malawi, we conducted a sensitivity analysis by excluding Malawi cases and found that only moderate malnutrition remained a mortality risk factor (Supplementary Table 2).
      Table 4Clinical characteristics associated with death of children aged 2-59 months hospitalized with chest-indrawing pneumonia with pulse oximetry assessment (n = 12,936).
      VariableBivariateAdjusted OR
      Adjusted for study design, PCV rollout, age, sex, weight-or-age z-score, body temperature, respiratory rate and oxygen saturation.
      (95% CI)
      Died, (n = 450)

      n (%)
      Survived, (n = 12486)

      n (%)
      OR (95% CI)P-value
      Study design

       Clinical trial

       Observational study


      43 (1.6)

      407 (4.0)


      2,674 (98.4)

      9,812 (96.0)


      0.39 (0.28-0.53)

      1.00 (reference)


      <0.0001


      0.25 (0.16-0.37)

      1.00 (reference)
      Pneumococcal vaccine rollout

       Yes

       No


      34 (1.4)

      416 (4.0)


      2,490 (98.6)

      9,996 (96.0)


      0.33 (0.23-0.47)

      1.00 (reference)


      0.36 (0.22-0.60)1.00 (reference)
      Age categories

       2-5 months

       6-11 months

       12-59 months


      303 (7.4)

      97 (2.6)

      50 (1.0)


      3,814 (92.6)

      3,665 (97.4)

      5,007 (99.0)


      7.95 (5.88-10.76)

      2.65 (1.88-3.74)

      1.00 (reference)


      <0.0001

      <0.0001


      9.94 (6.67-14.84)

      2.67 (1.71-4.16)

      1.00 (reference)
      Sex

       Male

       Female

       Missing


      170 (2.6)

      278 (4.4)

      2 (3.6)


      6,421 (97.4)

      6,012 (95.6)

      53 (96.4)


      1.00 (reference)

      1.75 (1.44-2.12)

      ——–


      <0.0001


      1.00 (reference)

      1.82 (1.43-2.32)
      WAZ categories

       WAZ >-2

       -3 <WAZ <-2

       Missing


      249 (2.6)

      114 (5.8)

      87 (6.7)


      9,431 (97.4)

      1,850 (94.2)

      1,205 (93.3)


      1.00 (reference)

      2.33 (1.86-2.93)

      ——–


      <0.0001



      1.00 (reference)

      2.41 (1.87-3.09)
      Body temperature

       Normal temperature (35.5-37.9 C)

       Fever (≥38.0 C)

       Hypothermia (<35.5 C)

       Missing


      291 (3.6)

      150 (3.2)

      2 (5.4)

      7 (6.3)


      7,856 (96.4)

      4,491 (96.8)

      35 (94.6)

      104 (93.7)


      1.00 (reference)

      0.90 (0.74-1.10)

      1.54 (0.37-6.44)

      ——–


      0.311

      0.552


      1.00 (reference)

      0.81 (0.64-1.03)

      2.17 (0.28-17.02)
      Respiratory rate (breaths/min)

       Respiratory rate <70 breaths/min

       Respiratory rate ≥70 breaths/min

       Missing


      355 (3.2)

      83 (6.0)

      12 (2.3)


      10,679 (96.8)

      1,296 (94.0)

      511 (97.7)


      1.00 (reference)

      1.93 (1.50-2.46)

      ——–


      <0.0001


      1.00 (reference)

      1.31 (0.98-1.76)
      SpO2 categories

       SpO2 93-100%

       SpO2 90-92%

       SpO2 <90%


      127 (1.6)

      61 (2.6)

      262 (10.3)


      7,888 (98.4)

      2,314 (97.4)

      2,284 (89.7)


      1.00 (reference)

      1.64 (1.20-2.23)

      7.12 (5.74-8.85)


      0.002

      <0.0001


      1.00 (reference)

      1.36 (0.96-1.92)

      4.14 (3.19-5.36)
      OR: odds ratio; WAZ: weight-for-age z-score; SpO2: oxygen saturation.
      a Adjusted for study design, PCV rollout, age, sex, weight-or-age z-score, body temperature, respiratory rate and oxygen saturation.

      Discussion

      In this study, the CFR of cases with an SpO2 measurement was lower than those without. Hypoxemia of SpO2 <90% was highly prevalent among children with chest-indrawing or danger sign pneumonia. Patients with chest-indrawing and danger sign pneumonia with an SpO2 <90% had a CFR of 10.3% and 11.8%, respectively. Age bands 2-5 months and 6-11 months, SpO2 <90%, moderate malnutrition, and female sex were independently associated with chest-indrawing pneumonia-related in-hospital death. We used a large multicountry dataset of hospitalized patients with pneumonia to explore the clinical outcomes in child pneumonia cases with and without SpO2 measurement and focused on cases with chest-indrawing pneumonia. Given the size of the dataset, our post hoc power estimate was greater than 95%. All data-contributing studies were conducted before the implementation of the 2012 WHO pneumonia management guidance recommending that children with chest-indrawing pneumonia without danger signs or hypoxemia (if pulse oximetry is available) could be safely managed in outpatient settings with oral amoxicillin [
      World Health Organization
      Recommendations for management of common childhood conditions : evidence for technical update of pocket book recommendations : newborn conditions, dysentery, pneumonia, oxygen use and delivery, common causes of fever, severe acute malnutrition and supportive care.
      ].
      The CFR was higher among child pneumonia cases without a documented SpO2 measurement. The reduced CFR with pulse oximeter use may reflect the impact of pulse oximetry on hospital outcomes or effects of a more functional health system [
      • Duke T
      • Pulsan F
      • Panauwe D
      • Hwaihwanje I
      • et al.
      Solar-powered oxygen, quality improvement and child pneumonia deaths: a large-scale effectiveness study.
      ]. Healthcare worker identification of hypoxemia likely influenced if a child received supplemental oxygen [
      • Enoch AJ
      • English M
      • Shepperd S
      Does pulse oximeter use impact health outcomes? A systematic review.
      ,
      • Tesfaye SH
      • Gebeyehu Y
      • Loha E
      • Johansson KA
      • Lindtjørn B
      Pulse oximeter with integrated management of childhood illness for diagnosis of severe childhood pneumonia at rural health institutions in Southern Ethiopia: results from a cluster-randomised controlled trial.
      . In contrast, clinicians may use pulse oximetry as an objective measurement to improve their assessments, which, in some cases, may result in the de-escalation of unnecessary care, presumably freeing up resources for children who could benefit from them [
      • Anderson AB
      • Zwerdling RG
      • Dewitt TG
      The clinical utility of pulse oximetry in the pediatric emergency department setting.
      ]. Pulse oximetry implementation has been shown to increase the diagnosis of pneumonia [
      • Chew R
      • Zhang M
      • Chandna A
      • Lubell Y
      The impact of pulse oximetry on diagnosis, management and outcomes of acute febrile illness in low-income and middle-income countries: a systematic review.
      ], improve the overall quality of care for pneumonia and malaria [
      • Enoch AJ
      • English M
      • Network Clinical Information
      • McGivern G
      • Shepperd S
      Variability in the use of pulse oximeters with children in Kenyan hospitals: A mixed-methods analysis.
      ,
      • Graham HR
      • Maher J
      • Bakare AA
      • Nguyen CD
      • Ayede AI
      • Oyewole OB
      • et al.
      Oxygen systems and quality of care for children with pneumonia, malaria and diarrhoea: analysis of a stepped-wedge trial in Nigeria.
      , and decrease hospital-based pediatric ALRI mortality, independent of supplemental oxygen availability [
      • Graham HR
      • Bakare AA
      • Ayede AI
      • Gray AZ
      • McPake B
      • Peel D
      • et al.
      Oxygen systems to improve clinical care and outcomes for children and neonates: a stepped-wedge cluster-randomised trial in Nigeria.
      ].
      Our hypoxemia prevalence and some of our CFR findings differ from other published reports. Our estimates are slightly higher than that of a 2009 metanalysis [
      • Subhi R
      • Adamson M
      • Campbell H
      • Weber M
      • Smith K
      • Duke T
      • et al.
      The prevalence of hypoxaemia among ill children in developing countries: a systematic review.
      ]. This study included a small amount of data (<10%) from studies that enrolled children aged up to 12 years. Hypoxemic pneumonia is less frequent in older children, which may explain their slightly lower estimates. In contrast, our findings are much lower than that reported by two meta-analyses [
      • Lozano JM
      Epidemiology of hypoxaemia in children with acute lower respiratory infection.
      ,
      • Rahman AE
      • Hossain AT
      • Nair H
      • Chisti MJ
      • Dockrell D
      • Arifeen SE
      • et al.
      Prevalence of hypoxaemia in children with pneumonia in low-income and middle-income countries: a systematic review and meta-analysis.
      and the Pneumonia Etiology Research for Child Health (PERCH) study [
      Pneumonia Etiology Research for Child Health (PERCH) Study Group
      Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study.
      ] (47-35.8%). Misclassification bias could explain these differences. In the PERCH study, at most study sites, hypoxemia was defined as an SpO2 <92%. In Rahman et al.’s metanalysis, they were unable to disaggregate data, and 17 of the 57 included studies defined hypoxemia as an SpO2 <92-95% [
      • Rahman AE
      • Hossain AT
      • Nair H
      • Chisti MJ
      • Dockrell D
      • Arifeen SE
      • et al.
      Prevalence of hypoxaemia in children with pneumonia in low-income and middle-income countries: a systematic review and meta-analysis.
      ]. All four studies presented combined chest-indrawing and danger sign cases into one cohort when describing hypoxemia frequency. In previous works [
      • Hooli S
      • Colbourn T
      • Lufesi N
      • Costello A
      • Nambiar B
      • Thammasitboon S
      • et al.
      Predicting hospitalised paediatric pneumonia mortality risk: an external validation of RISC and mRISC, and local tool development (RISC-Malawi) from Malawi.
      ,
      • Lazzerini M
      • Sonego M
      • Pellegrin MC
      Hypoxaemia as a mortality risk factor in acute lower respiratory infections in children in low and middle-income countries: systematic review and meta-analysis.
      ,
      • Gallagher KE
      • Knoll MD
      • Prosperi C
      • Baggett HC
      • Brooks WA
      • Feikin DR
      • et al.
      The predictive performance of a pneumonia severity score in human immunodeficiency virus-negative children presenting to hospital in 7 low- and middle-income countries.
      conducted in countries with a high anemia prevalence [
      • Safiri S
      • Kolahi AA
      • Noori M
      • Nejadghaderi SA
      • Karamzad N
      • Bragazzi NL
      • et al.
      Burden of anemia and its underlying causes in 204 countries and territories, 1990–2019: results from the Global Burden of Disease Study 2019.
      ], an SpO2 of 90-92% was proposed as an ALRI-associated mortality risk factor, independent of clinical severity, but this was not associated with chest-indrawing pneumonia mortality in our data. In our study, hypoxemia (SpO2 <90%) prevalence was high and it put children, particularly those with chest indrawing or danger signs, at risk for death. Despite the WHO's recommendation to use pulse oximetry to assess hypoxemia and clear evidence that pulse oximeters are essential medical devices, many outpatient facilities and hospitals in LMICs do not have or do not use pulse oximeters in routine care [
      • Ginsburg AS
      • Van Cleve WC
      • Thompson MIW
      • English M
      Oxygen and pulse oximetry in childhood pneumonia: a survey of healthcare providers in resource-limited settings.
      ,
      • Enoch AJ
      • English M
      • Network Clinical Information
      • McGivern G
      • Shepperd S
      Variability in the use of pulse oximeters with children in Kenyan hospitals: A mixed-methods analysis.
      ,
      • McCollum ED
      • Bjornstad E
      • Preidis GA
      • Hosseinipour MC
      • Lufesi N
      Multicenter study of hypoxemia prevalence and quality of oxygen treatment for hospitalized Malawian children.
      ,
      • Starr N
      • Rebollo D
      • Asemu YM
      • Akalu L
      • Mohammed HA
      • Menchamo MW
      • et al.
      Pulse oximetry in low-resource settings during the COVID-19 pandemic.
      ,
      • Tolla HS
      • Letebo M
      • Asemere YA
      • Belete AB
      • Tumbule TC
      • Fekadu ZF
      • et al.
      Use of pulse oximetry during initial assessments of children under five with pneumonia: a retrospective cross-sectional study from 14 hospitals in Ethiopia.
      ,
      • Fashanu C
      • Mekonnen T
      • Amedu J
      • Onwundiwe N
      • Adebiyi A
      • Omokere O
      • et al.
      Improved oxygen systems at hospitals in three Nigerian states: an implementation research study.
      . Unfortunately, clinical signs alone are not reliable predictors of hypoxemia, resulting in both false-positive and false-negative classifications, leading to many hypoxemic children not receiving oxygen and potentially contributing to pneumonia-related deaths [
      World Health Organization. Oxygen therapy for children: a manual for health workers.
      ,
      • Tesfaye SH
      • Gebeyehu Y
      • Loha E
      • Johansson KA
      • Lindtjørn B
      Pulse oximeter with integrated management of childhood illness for diagnosis of severe childhood pneumonia at rural health institutions in Southern Ethiopia: results from a cluster-randomised controlled trial.
      ,
      • McCollum ED
      • King C
      • Deula R
      • Zadutsa B
      • Mankhambo L
      • Nambiar B
      • et al.
      Pulse oximetry for children with pneumonia treated as outpatients in rural Malawi.
      . Global uptake of pulse oximeters at the health system level will take time due to funding and implementation challenges, such as procurement, training, promotion of use, and ongoing monitoring and feedback [
      • Enoch AJ
      • English M
      • Network Clinical Information
      • McGivern G
      • Shepperd S
      Variability in the use of pulse oximeters with children in Kenyan hospitals: A mixed-methods analysis.
      ,
      • Graham HR
      • Bakare AA
      • Gray A
      • Ayede AI
      • Qazi S
      • McPake B
      • et al.
      Adoption of paediatric and neonatal pulse oximetry by 12 hospitals in Nigeria: a mixed-methods realist evaluation.
      . Nonetheless, pulse oximetry implementation is a necessary investment.
      The value of pulse oximetry is clear; however, other factors may play an important role in reducing chest-indrawing pneumonia deaths. Unlike children with chest-indrawing pneumonia receiving outpatient care, the children in this study had access to supplemental oxygen and hospital-based care and received injectable antibiotics yet they still died. Similar to ours, other studies identified age 2-11 months, moderate malnutrition, severe tachypnoea, and female sex as mortality risk factors among children with pneumonia [
      • Agweyu A
      • Lilford RJ
      • English M
      • Irimu G
      • Ayieko P
      • Akech S
      • Githanga D
      • Were F
      • Kigen B
      • Ng'arng'ar S
      • Aduro N
      • Inginia R
      • Mutai B
      • Ochieng G
      • Thuranira L
      • Kanyingi F
      • Kuria M
      • Otido S
      • Rutha K
      • Njiiri P
      • Chabi M
      • Nzioki C
      • Ondere J
      • Emadau C
      • Mutiso C
      • Mutai L
      • Manyasi C
      • Kimutai D
      • Muturi C
      • Mithamo A
      • Kamunya A
      • Kariuki A
      • Wachira G
      • Musabi M
      • Charo S
      • Muinga N
      • Chepkirui M
      • Tuti T
      • Makone B
      • Nyachiro W
      • Mbevi G
      • Julius T
      • Gachau S
      • Ogero M
      • Bitok M
      • Wafula J
      Appropriateness of clinical severity classification of new WHO childhood pneumonia guidance: a multi-hospital, retrospective, cohort study.
      ,
      • Hooli S
      • Colbourn T
      • Lufesi N
      • Costello A
      • Nambiar B
      • Thammasitboon S
      • et al.
      Predicting hospitalised paediatric pneumonia mortality risk: an external validation of RISC and mRISC, and local tool development (RISC-Malawi) from Malawi.
      ,
      • Madrid L
      • Casellas A
      • Sacoor C
      • Quintó L
      • Sitoe A
      • Varo R
      • et al.
      Postdischarge mortality prediction in sub-Saharan Africa.
      . These risk factors are plausible. Sex-based health disparities, including delayed care seeking, have been demonstrated in Africa and Asia and may explain some of these findings [
      • Agweyu A
      • Lilford RJ
      • English M
      • Irimu G
      • Ayieko P
      • Akech S
      • Githanga D
      • Were F
      • Kigen B
      • Ng'arng'ar S
      • Aduro N
      • Inginia R
      • Mutai B
      • Ochieng G
      • Thuranira L
      • Kanyingi F
      • Kuria M
      • Otido S
      • Rutha K
      • Njiiri P
      • Chabi M
      • Nzioki C
      • Ondere J
      • Emadau C
      • Mutiso C
      • Mutai L
      • Manyasi C
      • Kimutai D
      • Muturi C
      • Mithamo A
      • Kamunya A
      • Kariuki A
      • Wachira G
      • Musabi M
      • Charo S
      • Muinga N
      • Chepkirui M
      • Tuti T
      • Makone B
      • Nyachiro W
      • Mbevi G
      • Julius T
      • Gachau S
      • Ogero M
      • Bitok M
      • Wafula J
      Appropriateness of clinical severity classification of new WHO childhood pneumonia guidance: a multi-hospital, retrospective, cohort study.
      ,
      • Hooli S
      • Colbourn T
      • Lufesi N
      • Costello A
      • Nambiar B
      • Thammasitboon S
      • et al.
      Predicting hospitalised paediatric pneumonia mortality risk: an external validation of RISC and mRISC, and local tool development (RISC-Malawi) from Malawi.
      ,
      • Hooli S
      • King C
      • Zadutsa B
      • Nambiar B
      • Makwenda C
      • Masache G
      • et al.
      The epidemiology of hypoxemic pneumonia among young infants in Malawi.
      ,
      • Sonego M
      • Pellegrin MC
      • Becker G
      • Lazzerini M
      Risk factors for mortality from acute lower respiratory infections (ALRI) in children under five years of age in low and middle-income countries: a systematic review and meta-analysis of observational studies.
      ,
      • Kennedy E
      • Binder G
      • Humphries-Waa K
      • Tidhar T
      • Cini K
      • Comrie-Thomson L
      • et al.
      Gender inequalities in health and wellbeing across the first two decades of life: an analysis of 40 low-income and middle-income countries in the Asia-Pacific region.
      . The excess mortality burden in infancy may reflect incomplete vaccination or a higher risk of occult untreated serious bacterial infection other than pneumonia, such as bacteremia, urinary tract infection, malaria, and meningitis [
      • D'Acremont V
      • Kilowoko M
      • Kyungu E
      • Philipina S
      • Sangu W
      • Kahama-Maro J
      • et al.
      Beyond malaria–causes of fever in outpatient Tanzanian children.
      ,
      • Hsiao AL
      • Chen L
      • Baker MD
      Incidence and predictors of serious bacterial infections among 57- to 180-day-old infants.
      . Exploratory studies are necessary to identify how these risk factors could inform medical decision making in the triage, follow-up, and hospital care of children with chest-indrawing pneumonia. Although known to contribute to pneumonia-related [
      • Kirolos A
      • Blacow RM
      • Parajuli A
      • Welton NJ
      • Khanna A
      • Allen SJ
      • et al.
      The impact of childhood malnutrition on mortality from pneumonia: a systematic review and network meta-analysis.
      ] and all-cause mortality, there is no formal disease-specific guidance on the care of children who are moderately malnourished. Targeted interventions could reduce pneumonia-related mortality in this group. For instance, the association of enteral protein intake during hospitalization with reduced 60-day mortality is well documented in critically ill children who are mechanically ventilated, independent of baseline nutrition status [
      • Mehta NM
      • Bechard LJ
      • Zurakowski D
      • Duggan CP
      • Heyland DK
      Adequate enteral protein intake is inversely associated with 60-d mortality in critically ill children: a multicenter, prospective, cohort study1.
      ]. It is plausible that protein supplementation could reduce pneumonia-related mortality, particularly in children who are moderately malnourished. An ongoing phase II randomized controlled trial in Kenya and Uganda addresses this issue in children with severe (danger sign) pneumonia [
      • Kiguli S
      • Olopot-Olupot P
      • Alaroker F
      • Engoru C
      • Opoka RO
      • Tagoola A
      • et al.
      Children's Oxygen Administration Strategies and Nutrition Trial (COAST-Nutrition): a protocol for a phase II randomised controlled trial.
      ]. Other potential studies could evaluate if close outpatient follow-up, earlier hospital referral, or more intensive in-hospital monitoring of select groups, such as young infants aged 2-5 months, may reduce hospitalized pneumonia deaths.

      Limitations

      This study had some limitations. First, most of these data are derived from studies conducted before or during the widespread PCV and Hib vaccine implementation. Accordingly, we may be overestimating the prevalence of severe and hypoxemic pneumonia and its associated mortality because 73% of infants now receive Hib vaccine, and around 45% receive PCV [

      Johns Hopkins Bloomberg School of Public Health, International Vaccine Access Center (IVAC). VIEW-hub Report: Global Vaccine Introduction and Implementation, https://www.jhsph.edu/ivac/wp-content/uploads/2021/05/VIEW-hubReport_March2021.pdf; 2021 [accessed 21 June 2021].

      ]. However, suggesting otherwise, our findings have a similar CFR as that of the PERCH study (6.7%), which examined the etiology of severe pneumonia in the postpneumococcal vaccination era [
      Pneumonia Etiology Research for Child Health (PERCH) Study Group
      Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study.
      ]. Second, because the studies included in our dataset occurred before the WHO recommendation that chest-indrawing cases be managed with oral amoxicillin, the majority of these cases received injectable antibiotics. Third, HIV co-morbidity data were not commonly documented in the dataset. Pneumonia-associated hypoxemia and mortality are higher among children who are HIV-positive or -exposed [
      • Theodoratou E
      • McAllister DA
      • Reed C
      • Adeloye DO
      • Rudan I
      • Muhe LM
      • et al.
      Global, regional, and national estimates of pneumonia burden in HIV-infected children in 2010: a meta-analysis and modelling study.
      ]. Therefore, our findings are not generalizable to this high-risk patient group. In addition, other co-infections, such as malaria, were not accounted for [
      • D'Acremont V
      • Kilowoko M
      • Kyungu E
      • Philipina S
      • Sangu W
      • Kahama-Maro J
      • et al.
      Beyond malaria–causes of fever in outpatient Tanzanian children.
      ]. Although, this may also reflect real-world conditions in settings without reliable HIV and malaria testing resources. Fourth, there are inherent differences in pulse oximeter devices, training, and supervision, which could affect the accuracy of SpO2 measurements and our findings. Fifth, only 6.1% of this dataset included information on signs of respiratory distress. Given that these are considered danger signs that warrant hospitalization, we cannot be certain that some of the cases with chest indrawing did not also have signs of respiratory distress. Sixth, we collated data from a diverse range of settings and a large proportion of unmeasured pulse oximetry cases came from a single 10-year study in Malawi. To address this, we conducted a sensitivity analysis and found that moderate malnutrition remained a mortality risk factor even when the Malawian cases were excluded. Seventh, we were unable to assess for study-level variance in the duration of illness before hospitalization, length of hospitalization, and time to inpatient death, which may reflect the differences in care-seeking behaviors and clinician judgment to hospitalize a patient. There are certainly other unmeasured factors affecting child pneumonia in-hospital mortality, which we are unable to account for. Finally, we aggregated data from a wide variety of studies conducted in many different countries, which may limit the applicability of our findings to local contexts. Some of the data are from clinical trials or prospective studies with dedicated study staff, whereas others are from routine care settings; as such, there is variability in the quality of the reported data. We are unable to account for how management differences affected the patient outcomes. From an implementation perspective, the use of data collected outside of a funded, well-staffed, and well-supplied clinical trial may be a strength because these data more accurately reflect the real-world conditions of healthcare delivery in LMICs.

      Conclusion

      Pulse oximetry use is critical to providing effective pneumonia care. Given that many LMIC ALRI care settings do not have or use pulse oximeters and that danger signs and chest-indrawing cases had a high prevalence of hypoxemia and associated CFR, we can conclude that many children who could benefit from supplemental oxygen are going unrecognized. This represents a missed opportunity to reduce child pneumonia deaths. A substantial proportion of chest-indrawing pneumonia deaths were not hypoxemic. Exploratory research is needed to understand how mortality risk factors, such as moderate malnutrition and young age, could be used to guide care to reduce mortality. Our findings suggest that pulse oximetry should be integrated in the clinical evaluation of children aged 5 years who are hospitalized with ALRI, particularly for children with chest-indrawing pneumonia.

      Declaration of competing interest

      The authors have no competing interests to declare. YBN is a staff member of the WHO. The expressed views and opinions do not necessarily represent the policies of the WHO.

      Funding

      The Bill and Melinda Gates Foundation, Seattle, WA, USA (#INV-007927).

      Ethical approval

      All studies included in this deidentified data set were previously granted clearance by ethical review boards at each participating site.

      Acknowledgments

      The authors would like to thank the children and their families who participated in the included studies.

      Author contributions

      SAQ secured the funding. SH, CKin, YBN, and SAQ conceptualized and designed the study, interpreted the data, and wrote the first draft of the manuscript. YBN verified the data and conducted statistical analyses. CKin, EDM, TC, NL, CM, CG, ST, CC, SM, MN, BG, TH, JM, EA, NC, MH, PH, PJ, JL, WM, AP, DT, NN, SZ, RR, ML, CK, CT, RA, SB, II, IM, GM, SKS, MS, SS, SAwa, AB, MC, PN, JP, VR, GR, MSyl, PV, JW, SBha, TS, MN, LA, ME, SBas, NW, RL, SA, AG, MC, SHir, KO, AC, CR, HC, HN, JF, LW, and MH oversaw the data collection, verified the data, assisted with interpretation of the data, and reviewed and edited the final manuscript. SH and YBN had final responsibility for the decision to submit for publication.

      Data sharing

      Data used for this study will be available upon request. Deidentified participant data and a data dictionary will be made available after all planned analyses are completed. Data will be shared after approval of request. All data requests should be directed to the corresponding author, Dr. Yasir Bin Nisar.

      Appendix. Supplementary materials

      References

        • GBD 2015 LRI Collaborators
        Estimates of the global, regional, and national morbidity, mortality, and aetiologies of lower respiratory tract infections in 195 countries: a systematic analysis for the Global Burden of Disease Study 2015.
        Lancet Infect Dis. 2017; 17: 1133-1161https://doi.org/10.1016/S1473-3099(17)30396-1
        • Addo-Yobo E
        • Chisaka N
        • Hassan M
        • Hibberd P
        • Lozano JM
        • Jeena P
        • et al.
        Oral amoxicillin versus injectable penicillin for severe pneumonia in children aged 3 to 59 months: a randomised multicentre equivalency study.
        Lancet. 2004; 364: 1141-1148https://doi.org/10.1016/S0140-6736(04)17100-6
        • Hazir T
        • Fox LM
        • Nisar YB
        • Fox MP
        • Ashraf YP
        • MacLeod WB
        • et al.
        Ambulatory short-course high-dose oral amoxicillin for treatment of severe pneumonia in children: a randomised equivalency trial.
        Lancet. 2008; 371: 49-56https://doi.org/10.1016/S0140-6736(08)60071-9
        • Das RR
        • Singh M
        Treatment of severe community-acquired pneumonia with oral amoxicillin in under-five children in developing country: a systematic review.
        PLoS One. 2013; 8: e66232https://doi.org/10.1371/journal.pone.0066232
        • World Health Organization
        Recommendations for management of common childhood conditions : evidence for technical update of pocket book recommendations : newborn conditions, dysentery, pneumonia, oxygen use and delivery, common causes of fever, severe acute malnutrition and supportive care.
        World Health Organization, Geneva2012
      1. World Health Organization. Pocket book of hospital care for children: guidelines for the management of common childhood illnesses. 2nd ed., 2013 ed. Geneva: World Health Organization, 2013.

        • World Health Organization
        Integrated Management of Childhood Illness (IMCI): chart booklet.
        2nd ed. World Health Organization, Geneva2014
        • World Health Organization
        Pocket book of hospital care for children: guidelines for the management of common illnesses with limited resources.
        1st ed. World Health Organization, Geneva2005
        • Patel AB
        • Bang A
        • Singh M
        • Dhande L
        • Chelliah LR
        • Malik A
        • et al.
        A randomized controlled trial of hospital versus home based therapy with oral amoxicillin for severe pneumonia in children aged 3–59 months: the IndiaCLEN Severe Pneumonia Oral Therapy (ISPOT) Study.
        BMC Pediatr. 2015; 15: 186https://doi.org/10.1186/s12887-015-0510-9
        • Ginsburg AS
        • Mvalo T
        • Nkwopara E
        • McCollum ED
        • Phiri M
        • Schmicker R
        • et al.
        Amoxicillin for 3 or 5 days for chest-indrawing pneumonia in Malawian children.
        N Engl J Med. 2020; 383: 13-23https://doi.org/10.1056/NEJMoa1912400
        • Agweyu A
        • Gathara D
        • Oliwa J
        • Muinga N
        • Edwards T
        • Allen E
        • et al.
        Oral amoxicillin versus benzyl penicillin for severe pneumonia among Kenyan children: a pragmatic randomized controlled noninferiority trial.
        Clin Infect Dis. 2015; 60: 1216-1224https://doi.org/10.1093/cid/ciu1166
        • Bari A
        • Sadruddin S
        • Khan A
        • et al.
        Community case management of severe pneumonia with oral amoxicillin in children aged 2–59 months in Haripur district, Pakistan: a cluster randomised trial.
        Lancet. 2011; 378: 1796-1803https://doi.org/10.1016/S0140-6736(11)61140-9
        • Soofi S
        • Ahmed S
        • Fox MP
        • MacLeod WB
        • Thea DM
        • Qazi SA
        • et al.
        Effectiveness of community case management of severe pneumonia with oral amoxicillin in children aged 2–59 months in Matiari district, rural Pakistan: a cluster-randomised controlled trial.
        Lancet. 2012; 379: 729-737https://doi.org/10.1016/S0140-6736(11)61714-5
        • Morre R
        • Sobi K
        • Pameh W
        • Ripa P
        • Vince JD
        • Duke T
        Safety, effectiveness and feasibility of outpatient management of children with pneumonia with chest indrawing at Port Moresby general hospital, Papua New Guinea.
        J Trop Pediatr. 2019; 65: 71-77https://doi.org/10.1093/tropej/fmy013
        • Onono M
        • Abdi M
        • Mutai K
        • Asadhi E
        • Nyamai R
        • Okoth P
        • et al.
        Community case management of lower chest indrawing pneumonia with oral amoxicillin in children in Kenya.
        Acta Paediatr. 2018; 107: 44-52https://doi.org/10.1111/apa.14405
        • West JB
        Respiratory physiology: the essentials.
        Williams & Wilkins, Baltimore1973
        • McCollum ED
        • King C
        • Ahmed S
        • Hanif AAM
        • Roy AD
        • Islam AA
        • et al.
        Defining hypoxaemia from pulse oximeter measurements of oxygen saturation in well children at low altitude in Bangladesh: an observational study.
        BMJ Open Respir Res. 2021; 8e001023https://doi.org/10.1136/bmjresp-2021-001023
        • Ginsburg AS
        • Van Cleve WC
        • Thompson MIW
        • English M
        Oxygen and pulse oximetry in childhood pneumonia: a survey of healthcare providers in resource-limited settings.
        J Trop Pediatr. 2012; 58: 389-393https://doi.org/10.1093/tropej/fmr103
        • Enoch AJ
        • English M
        • Network Clinical Information
        • McGivern G
        • Shepperd S
        Variability in the use of pulse oximeters with children in Kenyan hospitals: A mixed-methods analysis.
        PLoS Med. 2019; 16e1002987https://doi.org/10.1371/journal.pmed.1002987
      2. World Health Organization. Oxygen therapy for children: a manual for health workers.
        Geneva: World Health Organization. 2016;
        • Alwadhi V
        • Dewan P
        • Malhotra RK
        • Shah D
        • Gupta P
        Tachypnea and other danger signs vs pulse oximetry for prediction of hypoxia in severe pneumonia/very severe disease.
        Indian Pediatr. 2017; 54: 729-734https://doi.org/10.1007/s13312-017-1163-6
        • Bassat Q
        • Lanaspa M
        • Machevo S
        • O'Callaghan-Gordo C
        • Madrid L
        • Nhampossa T
        • et al.
        Hypoxaemia in Mozambican children <5 years of age admitted to hospital with clinical severe pneumonia: clinical features and performance of predictor models.
        Trop Med Int Health. 2016; 21: 1147-1156https://doi.org/10.1111/tmi.12738
        • Chisti MJ
        • Salam MA
        • Ashraf H
        • Faruque ASG
        • Bardhan PK
        • Shahid AS
        • et al.
        Predictors and outcome of hypoxemia in severely malnourished children under five with pneumonia: a case control design.
        PLoS One. 2013; 8: e51376https://doi.org/10.1371/journal.pone.0051376
        • Usen S
        • Weber M
        • Mulholland K
        • Jaffar S
        • Oparaugo A
        • Omosigho C
        • et al.
        Clinical predictors of hypoxaemia in Gambian children with acute lower respiratory tract infection: prospective cohort study.
        BMJ. 1999; 318: 86-91https://doi.org/10.1136/bmj.318.7176.86
        • Kuti BP
        • Adegoke SA
        • Ebruke BE
        • Howie S
        • Oyelami OA
        • Ota M
        Determinants of oxygen therapy in childhood pneumonia in a resource-constrained region.
        ISRN Pediatr. 2013; 2013435976https://doi.org/10.1155/2013/435976
        • Agweyu A
        • Lilford RJ
        • English M
        • Irimu G
        • Ayieko P
        • Akech S
        • Githanga D
        • Were F
        • Kigen B
        • Ng'arng'ar S
        • Aduro N
        • Inginia R
        • Mutai B
        • Ochieng G
        • Thuranira L
        • Kanyingi F
        • Kuria M
        • Otido S
        • Rutha K
        • Njiiri P
        • Chabi M
        • Nzioki C
        • Ondere J
        • Emadau C
        • Mutiso C
        • Mutai L
        • Manyasi C
        • Kimutai D
        • Muturi C
        • Mithamo A
        • Kamunya A
        • Kariuki A
        • Wachira G
        • Musabi M
        • Charo S
        • Muinga N
        • Chepkirui M
        • Tuti T
        • Makone B
        • Nyachiro W
        • Mbevi G
        • Julius T
        • Gachau S
        • Ogero M
        • Bitok M
        • Wafula J
        Appropriateness of clinical severity classification of new WHO childhood pneumonia guidance: a multi-hospital, retrospective, cohort study.
        Lancet Glob Health. 2018; 6: e74-e83https://doi.org/10.1016/S2214-109X(17)30448-5
        • Ugpo J
        • Lucero M
        • Williams G
        • Lechago M
        • Nillos L
        • Tallo V
        • et al.
        Reactogenicity and tolerability of a non-adjuvanted 11-valent diphtheria-tetanus toxoid Pneumococcal Conjugate Vaccine in Filipino children.
        Vaccine. 2009; 27: 2723-2729https://doi.org/10.1016/j.vaccine.2008.10.026
        • Basnet S
        • Shrestha PS
        • Sharma A
        • Mathisen M
        • Prasai R
        • Bhandari N
        • et al.
        A randomized controlled trial of zinc as adjuvant therapy for severe pneumonia in young children.
        Pediatrics. 2012; 129: 701-708https://doi.org/10.1542/peds.2010-3091
        • Mathew JL
        • Singhi S
        • Ray P
        • Hagel E
        • Saghafian-Hedengren S
        • Bansal A
        • et al.
        Etiology of community acquired pneumonia among children in India: prospective, cohort study.
        J Glob Health. 2015; 5050418https://doi.org/10.7189/jogh.05.020418
      3. Clara WC. Unpublished data from David. Chiriqui Province, Panama.

        • Marcone DN
        • Ellis A
        • Videla C
        • Ekstrom J
        • Ricarte C
        • Carballal G
        • et al.
        Viral etiology of acute respiratory infections in hospitalized and outpatient children in Buenos Aires, Argentina.
        Pediatr Infect Dis J. 2013; 32: e105-e110https://doi.org/10.1097/INF.0b013e31827cd06f
        • Bénet T
        • Sánchez Picot V
        • Messaoudi M
        • Chou M
        • Eap T
        • Wang J
        • et al.
        Microorganisms associated with pneumonia in children <5 years of age in developing and emerging countries: the GABRIEL pneumonia multicenter, prospective, case-control study.
        Clin Infect Dis. 2017; 65: 604-612https://doi.org/10.1093/cid/cix378
        • McCollum ED
        • Nambiar B
        • Deula R
        • Zadutsa B
        • Bondo A
        • King C
        • et al.
        Impact of the 13-valent Pneumococcal Conjugate Vaccine on clinical and hypoxemic childhood pneumonia over three years in central Malawi: an observational study.
        PLoS One. 2017; 12e0168209https://doi.org/10.1371/journal.pone.0168209
        • Lazzerini M
        • Seward N
        • Lufesi N
        • Banda R
        • Sinyeka S
        • Masache G
        • et al.
        Mortality and its risk factors in Malawian children admitted to hospital with clinical pneumonia, 2001–12: a retrospective observational study.
        Lancet Glob Health. 2016; 4: e57-e68https://doi.org/10.1016/S2214-109X(15)00215-6
        • Gentile Á
        • Juarez Mdel V
        • Luciön MF
        • Romanin VS
        • Giglio N
        • Bakin J
        Influence of respiratory viruses on the evaluation of the 13-valent Pneumococcal Conjugate Vaccine effectiveness in children under 5 years old: a time-series study for the 2001–2013 period.
        Arch Argent Pediatr. 2015; 113: 310-316https://doi.org/10.5546/aap.2015.eng.310
        • Gessner BD
        • Sutanto A
        • Linehan M
        • Djelantik IGG
        • Fletcher T
        • Gerudug IK
        • et al.
        Incidences of vaccine-preventable Haemophilus influenzae type b pneumonia and meningitis in Indonesian children: hamlet-randomised vaccine-probe trial.
        Lancet. 2005; 365: 43-52https://doi.org/10.1016/s0140-6736(04)17664-2
        • Lu Y
        • Baggett HC
        • Rhodes J
        • Thamthitiwat S
        • Joseph L
        • Gregory CJ
        Bayesian latent class estimation of the incidence of chest radiograph-confirmed pneumonia in rural Thailand.
        Epidemiol Infect. 2016; 144: 2858-2865https://doi.org/10.1017/S0950268816000455
        • Hirve S
        • Chadha M
        • Lele P
        • Lafond KE
        • Deoshatwar A
        • Sambhudas S
        • et al.
        Performance of case definitions used for influenza surveillance among hospitalized patients in a rural area of India.
        Bull World Health Organ. 2012; 90: 804-812https://doi.org/10.2471/BLT.12.108837
        • Hortal M
        • Estevan M
        • Iraola I
        • De Mucio B
        A population-based assessment of the disease burden of consolidated pneumonia in hospitalized children under five years of age.
        Int J Infect Dis. 2007; 11: 273-277https://doi.org/10.1016/j.ijid.2006.05.006
        • Wulandari DA
        • Sudarwati S
        • Tirtosudiro MA
        • Nataprawira HM
        • Kartasasmita CD
        Risk factors for mortality in children hospitalized with pneumonia in hasan Sadikin hospital. Asian Paediatric Pulmonology Society, Beijing2018
        • Klugman KP
        • Madhi SA
        • Huebner RE
        • Kohberger R
        • Mbelle N
        • Pierce N
        • et al.
        A trial of a 9-valent Pneumococcal Conjugate Vaccine in children with and those without HIV infection.
        N Engl J Med. 2003; 349: 1341-1348https://doi.org/10.1056/NEJMoa035060
        • Neuman MI
        • Monuteaux MC
        • Scully KJ
        • Bachur RG
        Prediction of pneumonia in a pediatric emergency department.
        Pediatrics. 2011; 128: 246-253https://doi.org/10.1542/peds.2010-3367
        • O'Grady KA
        • Torzillo PJ
        • Ruben AR
        • Taylor-Thomson D
        • Valery PC
        • Chang AB
        Identification of radiological alveolar pneumonia in children with high rates of hospitalized respiratory infections: comparison of WHO-defined and pediatric pulmonologist diagnosis in the clinical context.
        Pediatr Pulmonol. 2012; 47: 386-392https://doi.org/10.1002/ppul.21551
        • Ferrero F
        • Nascimento-Carvalho CM
        • Cardoso MR
        • Camargos P
        • March MF
        • Berezin E
        • et al.
        Radiographic findings among children hospitalized with severe community-acquired pneumonia.
        Pediatr Pulmonol. 2010; 45: 1009-1013https://doi.org/10.1002/ppul.21287
        • Asghar R
        • Banajeh S
        • Egas J
        • Hibberd P
        • Iqbal I
        • Katep-Bwalya M
        • et al.
        Chloramphenicol versus ampicillin plus gentamicin for community acquired very severe pneumonia among children aged 2–59 months in low resource settings: multicentre randomised controlled trial (SPEAR study).
        BMJ. 2008; 336: 80-84https://doi.org/10.1136/bmj.39421.435949.BE
        • Turner C
        • Turner P
        • Carrara V
        • Burgoine K
        • Tha Ler Htoo S
        • Watthanaworawit W
        • et al.
        High rates of pneumonia in children under two years of age in a South East Asian refugee population.
        PLoS One. 2013; 8: e54026https://doi.org/10.1371/journal.pone.0054026
        • Wadhwa N
        • Chandran A
        • Aneja S
        • Lodha R
        • Kabra SK
        • Chaturvedi MK
        • et al.
        Efficacy of zinc given as an adjunct in the treatment of severe and very severe pneumonia in hospitalized children 2–24 mo of age: a randomized, double-blind, placebo-controlled trial.
        Am J Clin Nutr. 2013; 97: 1387-1394https://doi.org/10.3945/ajcn.112.052951
        • Cutts FT
        • Zaman SMA
        • Enwere G
        • Jaffar S
        • Levine OS
        • Okoko JB
        • et al.
        Efficacy of nine-valent Pneumococcal Conjugate Vaccine against pneumonia and invasive pneumococcal disease in the Gambia: randomised, double-blind, placebo-controlled trial.
        Lancet. 2005; 365: 1139-1146https://doi.org/10.1016/S0140-6736(05)71876-6
        • Hooli S
        • Colbourn T
        • Lufesi N
        • Costello A
        • Nambiar B
        • Thammasitboon S
        • et al.
        Predicting hospitalised paediatric pneumonia mortality risk: an external validation of RISC and mRISC, and local tool development (RISC-Malawi) from Malawi.
        PLoS One. 2016; 11e0168126https://doi.org/10.1371/journal.pone.0168126
        • Lazzerini M
        • Sonego M
        • Pellegrin MC
        Hypoxaemia as a mortality risk factor in acute lower respiratory infections in children in low and middle-income countries: systematic review and meta-analysis.
        PloS One. 2015; 10e0136166https://doi.org/10.1371/journal.pone.0136166
        • Duke T
        • Pulsan F
        • Panauwe D
        • Hwaihwanje I
        • et al.
        Solar-powered oxygen, quality improvement and child pneumonia deaths: a large-scale effectiveness study.
        Arch Dis Child. 2021; 106: 224-230https://doi.org/10.1136/archdischild-2020-320107
        • Enoch AJ
        • English M
        • Shepperd S
        Does pulse oximeter use impact health outcomes? A systematic review.
        Arch Dis Child. 2016; 101: 694-700https://doi.org/10.1136/archdischild-2015-309638
        • Tesfaye SH
        • Gebeyehu Y
        • Loha E
        • Johansson KA
        • Lindtjørn B
        Pulse oximeter with integrated management of childhood illness for diagnosis of severe childhood pneumonia at rural health institutions in Southern Ethiopia: results from a cluster-randomised controlled trial.
        BMJ Open. 2020; 10e036814https://doi.org/10.1136/bmjopen-2020-036814
        • Anderson AB
        • Zwerdling RG
        • Dewitt TG
        The clinical utility of pulse oximetry in the pediatric emergency department setting.
        Pediatr Emerg Care. 1991; 7: 263-266https://doi.org/10.1097/00006565-199110000-00001
        • Chew R
        • Zhang M
        • Chandna A
        • Lubell Y
        The impact of pulse oximetry on diagnosis, management and outcomes of acute febrile illness in low-income and middle-income countries: a systematic review.
        BMJ Glob Health. 2021; 6e007282https://doi.org/10.1136/bmjgh-2021-007282
        • Graham HR
        • Maher J
        • Bakare AA
        • Nguyen CD
        • Ayede AI
        • Oyewole OB
        • et al.
        Oxygen systems and quality of care for children with pneumonia, malaria and diarrhoea: analysis of a stepped-wedge trial in Nigeria.
        PLoS One. 2021; 16e0254229https://doi.org/10.1371/journal.pone.0254229
        • Graham HR
        • Bakare AA
        • Ayede AI
        • Gray AZ
        • McPake B
        • Peel D
        • et al.
        Oxygen systems to improve clinical care and outcomes for children and neonates: a stepped-wedge cluster-randomised trial in Nigeria.
        PLoS Med. 2019; 16e1002951https://doi.org/10.1371/journal.pmed.1002951
        • Subhi R
        • Adamson M
        • Campbell H
        • Weber M
        • Smith K
        • Duke T
        • et al.
        The prevalence of hypoxaemia among ill children in developing countries: a systematic review.
        Lancet Infect Dis. 2009; 9: 219-227https://doi.org/10.1016/S1473-3099(09)70071-4
        • Lozano JM
        Epidemiology of hypoxaemia in children with acute lower respiratory infection.
        Int J Tuberc Lung Dis. 2001; 5: 496-504
        • Rahman AE
        • Hossain AT
        • Nair H
        • Chisti MJ
        • Dockrell D
        • Arifeen SE
        • et al.
        Prevalence of hypoxaemia in children with pneumonia in low-income and middle-income countries: a systematic review and meta-analysis.
        Lancet Glob Health. 2022; 10: e348-e359https://doi.org/10.1016/S2214-109X(21)00586-6
        • Pneumonia Etiology Research for Child Health (PERCH) Study Group
        Causes of severe pneumonia requiring hospital admission in children without HIV infection from Africa and Asia: the PERCH multi-country case-control study.
        Lancet. 2019; 394: 757-779https://doi.org/10.1016/S0140-6736(19)30721-4
        • Gallagher KE
        • Knoll MD
        • Prosperi C
        • Baggett HC
        • Brooks WA
        • Feikin DR
        • et al.
        The predictive performance of a pneumonia severity score in human immunodeficiency virus-negative children presenting to hospital in 7 low- and middle-income countries.
        Clin Infect Dis. 2020; 70: 1050-1057https://doi.org/10.1093/cid/ciz350
        • Safiri S
        • Kolahi AA
        • Noori M
        • Nejadghaderi SA
        • Karamzad N
        • Bragazzi NL
        • et al.
        Burden of anemia and its underlying causes in 204 countries and territories, 1990–2019: results from the Global Burden of Disease Study 2019.
        J Hematol Oncol. 2021; 14: 185https://doi.org/10.1186/s13045-021-01202-2
        • McCollum ED
        • Bjornstad E
        • Preidis GA
        • Hosseinipour MC
        • Lufesi N
        Multicenter study of hypoxemia prevalence and quality of oxygen treatment for hospitalized Malawian children.
        Trans R Soc Trop Med Hyg. 2013; 107: 285-292https://doi.org/10.1093/trstmh/trt017
        • Starr N
        • Rebollo D
        • Asemu YM
        • Akalu L
        • Mohammed HA
        • Menchamo MW
        • et al.
        Pulse oximetry in low-resource settings during the COVID-19 pandemic.
        Lancet Glob Health. 2020; 8: e1121-e1122https://doi.org/10.1016/S2214-109X(20)30287-4
        • Tolla HS
        • Letebo M
        • Asemere YA
        • Belete AB
        • Tumbule TC
        • Fekadu ZF
        • et al.
        Use of pulse oximetry during initial assessments of children under five with pneumonia: a retrospective cross-sectional study from 14 hospitals in Ethiopia.
        J Glob Health Rep. 2019; 3https://doi.org/10.29392/joghr.3.e2019016
        • Fashanu C
        • Mekonnen T
        • Amedu J
        • Onwundiwe N
        • Adebiyi A
        • Omokere O
        • et al.
        Improved oxygen systems at hospitals in three Nigerian states: an implementation research study.
        Pediatr Pulmonol. 2020; 55: S65-S77https://doi.org/10.1002/ppul.24694
        • McCollum ED
        • King C
        • Deula R
        • Zadutsa B
        • Mankhambo L
        • Nambiar B
        • et al.
        Pulse oximetry for children with pneumonia treated as outpatients in rural Malawi.
        Bull World Health Organ. 2016; 94: 893-902https://doi.org/10.2471/BLT.16.173401
        • Graham HR
        • Bakare AA
        • Gray A
        • Ayede AI
        • Qazi S
        • McPake B
        • et al.
        Adoption of paediatric and neonatal pulse oximetry by 12 hospitals in Nigeria: a mixed-methods realist evaluation.
        BMJ Glob Health. 2018; 3e000812https://doi.org/10.1136/bmjgh-2018-000812
        • Madrid L
        • Casellas A
        • Sacoor C
        • Quintó L
        • Sitoe A
        • Varo R
        • et al.
        Postdischarge mortality prediction in sub-Saharan Africa.
        Pediatrics. 2019; 143https://doi.org/10.1542/peds.2018-0606
        • Hooli S
        • King C
        • Zadutsa B
        • Nambiar B
        • Makwenda C
        • Masache G
        • et al.
        The epidemiology of hypoxemic pneumonia among young infants in Malawi.
        Am J Trop Med Hyg. 2020; 102: 676-683https://doi.org/10.4269/ajtmh.19-0516
        • Sonego M
        • Pellegrin MC
        • Becker G
        • Lazzerini M
        Risk factors for mortality from acute lower respiratory infections (ALRI) in children under five years of age in low and middle-income countries: a systematic review and meta-analysis of observational studies.
        PLoS One. 2015; 10e0116380https://doi.org/10.1371/journal.pone.0116380
        • Kennedy E
        • Binder G
        • Humphries-Waa K
        • Tidhar T
        • Cini K
        • Comrie-Thomson L
        • et al.
        Gender inequalities in health and wellbeing across the first two decades of life: an analysis of 40 low-income and middle-income countries in the Asia-Pacific region.
        Lancet Glob Health. 2020; 8: e1473-e1488https://doi.org/10.1016/S2214-109X(20)30354-5
        • D'Acremont V
        • Kilowoko M
        • Kyungu E
        • Philipina S
        • Sangu W
        • Kahama-Maro J
        • et al.
        Beyond malaria–causes of fever in outpatient Tanzanian children.
        N Engl J Med. 2014; 370: 809-817https://doi.org/10.1056/NEJMoa1214482
        • Hsiao AL
        • Chen L
        • Baker MD
        Incidence and predictors of serious bacterial infections among 57- to 180-day-old infants.
        Pediatrics. 2006; 117: 1695-1701https://doi.org/10.1542/peds.2005-1673
        • Kirolos A
        • Blacow RM
        • Parajuli A
        • Welton NJ
        • Khanna A
        • Allen SJ
        • et al.
        The impact of childhood malnutrition on mortality from pneumonia: a systematic review and network meta-analysis.
        BMJ Glob Health. 2021; 6e007411https://doi.org/10.1136/bmjgh-2021-007411
        • Mehta NM
        • Bechard LJ
        • Zurakowski D
        • Duggan CP
        • Heyland DK
        Adequate enteral protein intake is inversely associated with 60-d mortality in critically ill children: a multicenter, prospective, cohort study1.
        Am J Clin Nutr. 2015; 102: 199-206https://doi.org/10.3945/ajcn.114.104893
        • Kiguli S
        • Olopot-Olupot P
        • Alaroker F
        • Engoru C
        • Opoka RO
        • Tagoola A
        • et al.
        Children's Oxygen Administration Strategies and Nutrition Trial (COAST-Nutrition): a protocol for a phase II randomised controlled trial.
        Wellcome Open Res. 2021; 6: 221https://doi.org/10.12688/wellcomeopenres.17123.2
      4. Johns Hopkins Bloomberg School of Public Health, International Vaccine Access Center (IVAC). VIEW-hub Report: Global Vaccine Introduction and Implementation, https://www.jhsph.edu/ivac/wp-content/uploads/2021/05/VIEW-hubReport_March2021.pdf; 2021 [accessed 21 June 2021].

        • Theodoratou E
        • McAllister DA
        • Reed C
        • Adeloye DO
        • Rudan I
        • Muhe LM
        • et al.
        Global, regional, and national estimates of pneumonia burden in HIV-infected children in 2010: a meta-analysis and modelling study.
        Lancet Infect Dis. 2014; 14: 1250-1258https://doi.org/10.1016/S1473-3099(14)70990-9