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Research Article| Volume 85, P158-166, August 2019

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Ineffectiveness of procalcitonin-guided antibiotic therapy in severely critically ill patients: A meta-analysis

Open AccessPublished:June 20, 2019DOI:https://doi.org/10.1016/j.ijid.2019.05.034

      Highlights

      • Procalcitonin (PCT)-guided antibiotic therapy failed to decrease the mortality in critically ill patients.
      • PCT-guided cessation of antibiotics decreased short-term mortality in patients, but not in those with a SOFA score of >8.
      • PCT-guided antibiotic therapy failed to shorten the ICU length of stay (LOS) and hospital LOS in critically ill patients.
      • PCT-guided antibiotic therapy shortened the antibiotic duration in critically ill patients.

      Abstract

      Background

      Optimizing antibiotic therapy has an important impact on the management of critically ill patients. Procalcitonin (PCT) is considered to be of possible use in the guidance of antibiotic stewardship; however, its efficacy remains controversial. Thus, a meta-analysis was performed to determine the efficacy of PCT-guided antibiotic therapy in critically ill patients.

      Methods

      The relevant literature was searched in PubMed, Embase, Web of Science, and the Cochrane Library covering the period from 2004 to August 2018. Randomized controlled trials (RCTs) were included if critically ill patients were treated with PCT-guided antibiotic therapy or standard care. The primary outcome was short-term mortality; secondary endpoints were the duration of antibiotic treatment, intensive care unit (ICU) length of stay (LOS), and hospital LOS.

      Results

      Sixteen RCTs enrolling 6452 critically ill patients were included in this analysis. The pooled analysis demonstrated a comparable short-term mortality (rate ratio (RR) 0.90, 95% confidence interval (CI) 0.80–1.01; p =  0.07), ICU LOS (mean difference (MD) 0.38, 95% CI −0.05 to 0.81; p = 0.09), and hospital LOS (MD 0.19, 95% CI −1.56 to 1.95; p =  0.83) for PCT-guided antibiotic therapy and standard antibiotic therapy, and an antibiotic duration shorter by 0.99 days (95% CI −1.85 to −0.13 days; p =  0.02) for PCT-guided antibiotic therapy. In the subgroup analysis, patients with an average Sequential Organ Failure Assessment (SOFA) score of <8 in the PCT-guided cessation of antibiotics group had a lower short-term mortality compared with the standard care group (RR 0.81, 95% CI 0.66–0.99; p =  0.04), while no difference was found in the subgroup with an average SOFA score of >8 (RR 0.85, 95% CI 0.66–1.11; p = 0.23).

      Conclusions

      PCT-guided antibiotic therapy fails to decrease the mortality or LOS of critically ill patients with suspected or confirmed sepsis. PCT-guided cessation of antibiotic therapy could reduce the mortality in patients with an average SOFA score of <8, but not in those with an average SOFA score of >8.

      Keywords

      Introduction

      Sepsis, defined as life-threatening organ dysfunction caused by a dysregulated host response to infection (
      • Singer M.
      • Deutschman C.S.
      • Seymour C.W.
      • Shankar-Hari M.
      • Annane D.
      • Bauer M.
      • et al.
      The third international consensus definitions for sepsis and septic shock (sepsis-3).
      ), remains a major contributor to death in critically ill patients. The initiation of broad-spectrum antibiotics within the first hour of triage in the emergency department or presenting from another care institution, is an essential aspect of high-quality sepsis management (
      • Rhodes A.
      • Evans L.E.
      • Alhazzani W.
      • Levy M.M.
      • Antonelli M.
      • Ferrer R.
      • et al.
      Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016.
      ). However, the incorrect use or abuse of antibiotics is considered to lead to an increased risk of opportunistic infection, antimicrobial resistance, and mortality, and increased healthcare costs (
      • Zilahi G.
      • McMahon M.A.
      • Povoa P.
      • Martin-Loeches I.
      Duration of antibiotic therapy in the intensive care unit.
      ). Optimizing the management of antibiotic therapy has a very important impact on the treatment of sepsis and management of multidrug-resistant bacteria.
      An organized and systematic approach to delivering interventions with proven efficacy and the prompt institution of appropriate therapy are the most effective means for improving the prognosis in the intensive care setting (
      • Rhodes A.
      • Evans L.E.
      • Alhazzani W.
      • Levy M.M.
      • Antonelli M.
      • Ferrer R.
      • et al.
      Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016.
      ,
      • Levy M.M.
      • Evans L.E.
      • Rhodes A.
      The surviving sepsis campaign bundle: 2018 update.
      Levy et al., 2018). The blood infection biomarker procalcitonin (PCT) has been approved and suggested for the guidance of antibiotic therapy in the context of acute infections and sepsis (
      • Annane D.
      • Maxime V.
      • Faller J.P.
      • Mezher C.
      • Clec’h C.
      • Martel P.
      • et al.
      Procalcitonin levels to guide antibiotic therapy in adults with non-microbiologically proven apparent severe sepsis: a randomised controlled trial.
      ,
      • Deliberato R.O.
      • Marra A.R.
      • Sanches P.R.
      • Martino M.D.
      • Ferreira C.E.
      • Pasternak J.
      • et al.
      Clinical and economic impact of procalcitonin to shorten antimicrobial therapy in septic patients with proven bacterial infection in an intensive care setting.
      ,
      • Bloos F.
      • Trips E.
      • Nierhaus A.
      • Briegel J.
      • Heyland D.K.
      • Jaschinski U.
      • et al.
      Effect of sodium selenite administration and procalcitonin-guided therapy on mortality in patients with severe sepsis or septic shock: a randomized clinical trial.
      ,
      • de Jong E.
      • van Oers J.A.
      • Beishuizen A.
      • Vos P.
      • Vermeijden W.J.
      • Haas L.E.
      • et al.
      Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial.
      ,
      • Huang H.B.
      • Peng J.M.
      • Weng L.
      • Wang C.Y.
      • Jiang W.
      • Du B.
      Procalcitonin-guided antibiotic therapy in intensive care unit patients: a systematic review and meta-analysis.
      ,
      • Iankova I.
      • Thompson-Leduc P.
      • Kirson N.Y.
      • Rice B.
      • Hey J.
      • Krause A.
      • et al.
      Efficacy and safety of procalcitonin guidance in patients with suspected or confirmed sepsis: a systematic review and meta-analysis.
      ,
      • Lamping F.
      • Jack T.
      • Rubsamen N.
      • Sasse M.
      • Beerbaum P.
      • Mikolajczyk R.T.
      • et al.
      Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children a data-driven approach using machine-learning algorithms.
      ). PCT is a calcitonin precursor produced by the epithelial cell in response to bacterial infections, and levels reduce rapidly during recovery. Therefore, as a representative marker of the host response to acute infection, PCT has been proposed to assist physicians in determining individual infection status and making individualized antibiotic therapy decisions.
      However, the efficacy of PCT-guided antibiotic therapy in suspected or confirmed infection and sepsis has proved controversial over recent decades (
      • de Jong E.
      • van Oers J.A.
      • Beishuizen A.
      • Vos P.
      • Vermeijden W.J.
      • Haas L.E.
      • et al.
      Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial.
      ,
      • Schuetz P.
      • Wirz Y.
      • Sager R.
      • Christ-Crain M.
      • Stolz D.
      • Tamm M.
      • et al.
      Procalcitonin to initiate or discontinue antibiotics in acute respiratory tract infections.
      ,
      • Daubin C.
      • Valette X.
      • Thiolliere F.
      • Mira J.P.
      • Hazera P.
      • Annane D.
      • et al.
      Procalcitonin algorithm to guide initial antibiotic therapy in acute exacerbations of COPD admitted to the ICU: a randomized multicenter study.
      ,
      • Huang D.T.
      • Yealy D.M.
      • Filbin M.R.
      • Brown A.M.
      • Chang C.H.
      • Doi Y.
      • et al.
      Procalcitonin-guided use of antibiotics for lower respiratory tract infection.
      ,
      • Iankova I.
      • Thompson-Leduc P.
      • Kirson N.Y.
      • Rice B.
      • Hey J.
      • Krause A.
      • et al.
      Efficacy and safety of procalcitonin guidance in patients with suspected or confirmed sepsis: a systematic review and meta-analysis.
      ,
      • Lamping F.
      • Jack T.
      • Rubsamen N.
      • Sasse M.
      • Beerbaum P.
      • Mikolajczyk R.T.
      • et al.
      Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children a data-driven approach using machine-learning algorithms.
      ). Several systematic reviews and meta-analyses have attempted to summarize the available literature and assess the value of PCT-guided strategies (
      • Huang H.B.
      • Peng J.M.
      • Weng L.
      • Wang C.Y.
      • Jiang W.
      • Du B.
      Procalcitonin-guided antibiotic therapy in intensive care unit patients: a systematic review and meta-analysis.
      ,
      • Lamping F.
      • Jack T.
      • Rubsamen N.
      • Sasse M.
      • Beerbaum P.
      • Mikolajczyk R.T.
      • et al.
      Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children a data-driven approach using machine-learning algorithms.
      ). Previous meta-analyses have generally reported a marked decrease in antibiotic exposure with PCT-guided antibiotic therapy, but not in mortality or intensive care unit (ICU) and hospital length of stay (LOS) (
      • Huang H.B.
      • Peng J.M.
      • Weng L.
      • Wang C.Y.
      • Jiang W.
      • Du B.
      Procalcitonin-guided antibiotic therapy in intensive care unit patients: a systematic review and meta-analysis.
      ,
      • Iankova I.
      • Thompson-Leduc P.
      • Kirson N.Y.
      • Rice B.
      • Hey J.
      • Krause A.
      • et al.
      Efficacy and safety of procalcitonin guidance in patients with suspected or confirmed sepsis: a systematic review and meta-analysis.
      ,
      • Lamping F.
      • Jack T.
      • Rubsamen N.
      • Sasse M.
      • Beerbaum P.
      • Mikolajczyk R.T.
      • et al.
      Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children a data-driven approach using machine-learning algorithms.
      ). Furthermore, a recent trial in France reported a comparable antibiotic exposure and mortality in patients with acute exacerbations of chronic obstructive pulmonary disease (COPD) admitted to the ICU in the PCT-guided antibiotic therapy group and standard care group (
      • Daubin C.
      • Valette X.
      • Thiolliere F.
      • Mira J.P.
      • Hazera P.
      • Annane D.
      • et al.
      Procalcitonin algorithm to guide initial antibiotic therapy in acute exacerbations of COPD admitted to the ICU: a randomized multicenter study.
      ). Thus, its efficacy is ambiguous.
      The present study was performed to address this prominent drawback of conflicting meta-analysis results and to provide an updated meta-analysis on the efficacy of PCT-guided antibiotic therapy. It was sought to expand on the previous analyses by including studies published more recently in a meta-analysis on the efficacy of PCT-guided antibiotic therapy in critically ill patients.

      Materials and methods

      This meta-analysis was performed and reported according to a pre-specified protocol registered in the International Prospective Register of Systematic Reviews (
      • Moher D.
      • Liberati A.
      • Tetzlaff J.
      • Altman D.G.
      • Grp P.
      Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.
      ) (PROSPERO registration number: CRD42018109721) and was prepared in accordance with the PRISMA statement (Preferred Reporting Items for Systematic Reviews and Meta-analyses).

      Literature search and data extraction

      The PubMed, Embase, Web of Science, and Cochrane Central Register of Controlled Trials databases were searched for randomized controlled trials (RCTs) published between January 2004 and August 2018. The keywords (“Procalcitonin” OR “PCT”) and (“Anti-Bacterial Agents” OR “Antibiotics” OR “Antibacterial”) were searched to identify potentially relevant studies assessing PCT-guided antibiotic therapy among critically ill patients. No language restriction was imposed. (See Supplementary Material Table S1.)
      Working in pairs, four reviewers screened citations and abstracts in duplicate and independently. The inclusion criteria encompassed PCT-guided antibiotic therapy compared with standard antibiotic therapy, critically ill adult patients, data reported for mortality, LOS, or duration of antibiotic use, and randomized controlled study design. Studies that did not use PCT to guide antibiotic clinical decision-making were excluded. Case reports, case series, observational or retrospective studies, systematic reviews, and meta-analyses were excluded. Research that was only available in abstract/poster format or that did not present original study data was also excluded. Trials performed before 2004 were not included in this review because the automated PCT immunoassay was only commercialized in that year. Discrepancies between the reviewers’ decisions regarding inclusion and exclusion were resolved through discussion.
      Two reviewers independently extracted variables from the identified studies including publication details, country of origin, setting, study design, patient characteristics, PCT algorithm used, interventions, methodological quality, compliance with the algorithm, and outcomes. The PCT algorithm was defined as the serum PCT result dictating the medical decision and guiding the initiation, cessation, or both (mixed) of antibiotic therapy. In brief, ‘initiation of antibiotics’ referred to the clinician’s decision to start or not to start, or to escalate antibiotic therapy, and to intensify the diagnostic effort to identify uncontrolled sources of infection based on a PCT value. ‘Cessation of antibiotics’ referred to the clinician’s decision to de-escalate or not to de-escalate, or to stop antibiotic therapy according to a lower baseline value or the drop in PCT concentration. Confirmed infection was defined in a patient with symptoms, signs, and positive laboratory examinations, or a definite diagnosis of sepsis or septic shock. Low adherence to PCT algorithms was defined as <70%, in accordance with Schuetz et al. (
      • Schuetz P.
      • Wirz Y.
      • Sager R.
      • Christ-Crain M.
      • Stolz D.
      • Tamm M.
      • et al.
      Procalcitonin to initiate or discontinue antibiotics in acute respiratory tract infections.
      ). Ferreira et al. (
      • Ferreira F.L.
      • Bota D.P.
      • Bross A.
      • Melot C.
      • Vincent J.L.
      Serial evaluation of the SOFA score to predict outcome in critically ill patients.
      ) showed that the initial Sequential Organ Failure Assessment (SOFA) score predicted the mortality of critically ill patients, with an area under the receiver operating characteristics curve (AUROC) of 0.79 (95% confidence interval (CI) 0.75–0.83) and optimal cut-off of 8 points. Thus, a SOFA score of 8 was chosen as the threshold to discriminate the more severely critically ill patients among the patients with sepsis. Discrepancies in data extraction were discussed with a senior researcher and finally resolved by consensus.

      Risk of bias assessment

      Two reviewers independently reviewed the included studies and evaluated the risk of bias using the Cochrane Collaboration tool (
      • Higgins J.P.T.
      • Altman D.G.
      • Gotzsche P.C.
      • Juni P.
      • Moher D.
      • Oxman A.D.
      • et al.
      The cochrane collaboration’s tool for assessing risk of bias in randomised trials.
      ). A value of high risk, unclear risk, or low risk was assigned to random sequence generation, allocation concealment, blinding of participants, blinding of outcome assessment, incomplete outcome data, selective outcome reporting, and other sources of bias. Discrepancies were resolved by discussion. A funnel plot was used to show the assessment of publication risk of bias.

      Outcomes and analyses

      The primary outcome was the short-term, all-cause mortality, which included mortality within approximately 28 days and ICU or hospital mortality. Secondary outcomes included the duration of antibiotics, hospital LOS, and ICU LOS. For each of the outcomes or subgroups, a meta-analysis was only performed if there were sufficient data and there were at least three studies in each subgroup, otherwise the studies were excluded from that analysis.
      It was planned to assess four subgroups for short-term mortality based upon the following: the strategies of PCT-guided antibiotics, average SOFA score >8 or <8, suspected or confirmed sepsis, and adherence >70% or <70%.

      Statistical analysis

      For the primary endpoint, short-term mortality was expressed as a risk ratio (RR) and 95% CI; a weighted pooled RR was calculated among included studies using a fixed-effects model for data without heterogeneity and a random-effects model for data with significant heterogeneity. Duration of antibiotics, hospital LOS, and ICU LOS were summarized using the mean difference (MD). The median, interquartile range (IQR), and range in the studies were used to estimate the mean and standard deviation (SD) (
      • Wan X.
      • Wang W.
      • Liu J.
      • Tong T.
      Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range.
      ). Analyses were done following the intention-to-treat principle, analyzing patients according to the groups to which they were randomly assigned. Heterogeneity was tested by Cochran Q test and I2. A p-value of <0.10 and I2 > 50% was considered to indicate significant heterogeneity.
      Further meta-regression that focused on strategies of PCT-guided antibiotics, suspected or confirmed infection, SOFA score, and adherence was performed if there was significant clinical heterogeneity. Covariate meta-regression analysis was used to identify the source of heterogeneity and the subgroups. A pre-specified sensitivity analysis was done for short-term mortality and antibiotic duration by influence analysis to evaluate the consistency of the results. A two-sided p <  0.05 was accepted to indicate statistical significance.
      A trial sequential analysis (TSA) was conducted for the primary outcome to assess the risk of random errors and to calculate the required number of participants (required information size, RIS). The RIS of the TSA was based on 5% risk of a type 1 error and 20% risk of a type 2 error (power of 80%). Analyses were performed using Review Manager (RevMan version 5.3), Stata (version 15), and TSA (version 0.9.5.10).

      Results

      Study selection

      A total of 838 records were identified in the literature databases according to the search strategy (285 in PubMed, 151 in Embase, 284 in Web of Science, and 118 in Cochrane). Of these, 737 potentially eligible articles were reviewed after excluding 101 duplicates. A further 639 were excluded after reading the title or abstract as they were not relevant to the theme. At the full-text stage, 46 were excluded for having no original data, 16 for not using PCT in the antibiotic decision, and 20 for enrolling patients who were not critically ill. Finally, 16 articles involving 6452 participants were included in this review (
      • Nobre V.
      • Harbarth S.
      • Graf J.D.
      • Rohner P.
      • Pugin J.
      Use of procalcitonin to shorten antibiotic treatment duration in septic patients: a randomized trial.
      ,
      • Hochreiter M.
      • Kohler T.
      • Schweiger A.M.
      • Keck F.S.
      • Bein B.
      • von Spiegel T.
      • et al.
      Procalcitonin to guide duration of antibiotic therapy in intensive care patients: a randomized prospective controlled trial.
      ,
      • Schroeder S.
      • Hochreiter M.
      • Koehler T.
      • Schweiger A.M.
      • Bein B.
      • Keck F.S.
      • et al.
      Procalcitonin (PCT)-guided algorithm reduces length of antibiotic treatment in surgical intensive care patients with severe sepsis: results of a prospective randomized study.
      ,
      • Stolz D.
      • Smyrnios N.
      • Eggimann P.
      • Pargger H.
      • Thakkar N.
      • Siegemund M.
      • et al.
      Procalcitonin for reduced antibiotic exposure in ventilator-associated pneumonia: a randomised study.
      ,
      • Bouadma L.
      • Luyt C.E.
      • Tubach F.
      • Cracco C.
      • Alvarez A.
      • Schwebel C.
      • et al.
      Use of procalcitonin to reduce patients’ exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial.
      ,
      • Jensen J.U.
      • Hein L.
      • Lundgren B.
      • Bestle M.H.
      • Mohr T.T.
      • Andersen M.H.
      • et al.
      Procalcitonin-guided interventions against infections to increase early appropriate antibiotics and improve survival in the intensive care unit: a randomized trial.
      ,
      • Layios N.
      • Lambermont B.
      • Canivet J.L.
      • Morimont P.
      • Preiser J.C.
      • Garweg C.
      • et al.
      Procalcitonin usefulness for the initiation of antibiotic treatment in intensive care unit patients.
      ,
      • Annane D.
      • Maxime V.
      • Faller J.P.
      • Mezher C.
      • Clec’h C.
      • Martel P.
      • et al.
      Procalcitonin levels to guide antibiotic therapy in adults with non-microbiologically proven apparent severe sepsis: a randomised controlled trial.
      ,
      • Oliveira C.F.
      • Botoni F.A.
      • Oliveira C.R.
      • Silva C.B.
      • Pereira H.A.
      • Serufo J.C.
      • et al.
      Procalcitonin versus C-reactive protein for guiding antibiotic therapy in sepsis: a randomized trial.
      ,
      • Shehabi Y.
      • Sterba M.
      • Garrett P.M.
      • Rachakonda K.S.
      • Stephens D.
      • Harrigan P.
      • et al.
      Procalcitonin algorithm in critically ill adults with undifferentiated infection or suspected sepsis. A randomized controlled trial.
      ,
      • Najafi A.
      • Khodadadian A.
      • Sanatkar M.
      • Shariat Moharari R.
      • Etezadi F.
      • Ahmadi A.
      • et al.
      The comparison of procalcitonin guidance administer antibiotics with empiric antibiotic therapy in critically ill patients admitted in intensive care unit.
      ,
      • Bloos F.
      • Trips E.
      • Nierhaus A.
      • Briegel J.
      • Heyland D.K.
      • Jaschinski U.
      • et al.
      Effect of sodium selenite administration and procalcitonin-guided therapy on mortality in patients with severe sepsis or septic shock: a randomized clinical trial.
      ,
      • de Jong E.
      • van Oers J.A.
      • Beishuizen A.
      • Vos P.
      • Vermeijden W.J.
      • Haas L.E.
      • et al.
      Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial.
      ,
      • Wang J.X.
      • Zhang S.M.
      • Li X.H.
      • Zhang Y.
      • Xu Z.Y.
      • Cao B.
      Acute exacerbations of chronic obstructive pulmonary disease with low serum procalcitonin values do not benefit from antibiotic treatment: a prospective randomized controlled trial.
      ,
      • Daubin C.
      • Valette X.
      • Thiolliere F.
      • Mira J.P.
      • Hazera P.
      • Annane D.
      • et al.
      Procalcitonin algorithm to guide initial antibiotic therapy in acute exacerbations of COPD admitted to the ICU: a randomized multicenter study.
      ,
      • Deliberato R.O.
      • Marra A.R.
      • Sanches P.R.
      • Martino M.D.
      • Ferreira C.E.
      • Pasternak J.
      • et al.
      Clinical and economic impact of procalcitonin to shorten antimicrobial therapy in septic patients with proven bacterial infection in an intensive care setting.
      ). Decisions arising from the study selection process are presented in Figure 1.
      All of the included studies were published in English between 2004 and 2018; 10 were multicenter studies and six were single-center studies.
      • Oliveira C.F.
      • Botoni F.A.
      • Oliveira C.R.
      • Silva C.B.
      • Pereira H.A.
      • Serufo J.C.
      • et al.
      Procalcitonin versus C-reactive protein for guiding antibiotic therapy in sepsis: a randomized trial.
      reported comparison arms of PCT- versus C-reactive protein (CRP)-guided antimicrobial therapy. Three RCTs reported PCT-guided initiation of antibiotic therapy, 10 reported the cessation of antibiotics, and three reported mixed initiation and cessation of antibiotic therapy. Nine trials included patients with an average SOFA score of <8 and five trials included patients with an average SOFA score of >8;
      • Jensen J.U.
      • Hein L.
      • Lundgren B.
      • Bestle M.H.
      • Mohr T.T.
      • Andersen M.H.
      • et al.
      Procalcitonin-guided interventions against infections to increase early appropriate antibiotics and improve survival in the intensive care unit: a randomized trial.
      and
      • Wang J.X.
      • Zhang S.M.
      • Li X.H.
      • Zhang Y.
      • Xu Z.Y.
      • Cao B.
      Acute exacerbations of chronic obstructive pulmonary disease with low serum procalcitonin values do not benefit from antibiotic treatment: a prospective randomized controlled trial.
      did not report SOFA scores. Six studies included patients with confirmed infections, whereas the remaining 10 RCTs included patients with suspected infections. Adherence to PCT algorithms varied, ranging from 47% to 97%. A detailed description of the eligible studies is presented in Table 1.
      Table 1Main characteristics of the included RCTs.
      First author

      Year
      Study settingSOFA scoreDiagnosis(es) of interestCohortPCT algorithm, ng/mlAdherenceShort-term mortalityAntibiotics duration, daysHospital LOS, daysICU LOS, days
      • Annane D.
      • Maxime V.
      • Faller J.P.
      • Mezher C.
      • Clec’h C.
      • Martel P.
      • et al.
      Procalcitonin levels to guide antibiotic therapy in adults with non-microbiologically proven apparent severe sepsis: a randomised controlled trial.
      ,
      8 ICUs in France10 (8–11) PCT

      9.5 (8.5–11) SC
      Suspected sepsis31 PCT

      31 SC
      0.25 μg/l

      Mixed
      63%7/31 (22.6%) PCT

      10/30 (32.3%) SC
      28-day mortality.
      ,
      30-day mortality.
      5 (4–5) PCT

      5 (2–5) SC
      27 (9–49) PCT

      33 (11–69) SC
      22 (8–42) PCT

      23 (10–60) SC
      • Bloos F.
      • Trips E.
      • Nierhaus A.
      • Briegel J.
      • Heyland D.K.
      • Jaschinski U.
      • et al.
      Effect of sodium selenite administration and procalcitonin-guided therapy on mortality in patients with severe sepsis or septic shock: a randomized clinical trial.
      33 ICUs in Germany10.0 (3.3) totalSevere sepsis or septic shock552 PCT

      537 SC
      <1 ng/ml or drop by >50%

      Cessation
      <50%140/547 (25.6%) PCT

      149/529 (28.2%) SC
      ICU mortality.
      7 (3–12) PCT

      7 (3–12) SC
      29 (18–46) PCT

      26 (16–44) SC
      12 (6–24) PCT

      11 (6–21) SC
      • Bouadma L.
      • Luyt C.E.
      • Tubach F.
      • Cracco C.
      • Alvarez A.
      • Schwebel C.
      • et al.
      Use of procalcitonin to reduce patients’ exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial.
      7 ICUs in France8.0 (4.7) PCT

      7.7 (4.6) SC
      Suspected bacterial infections307 PCT

      314 SC
      0.5 μg/l or less than 80%

      Mixed
      47%65/307 (21.2%) PCT

      64/314 (20.4%) SC
      ICU mortality.
      10.3 ± 7.7 PCT

      13.3 ± 7.6 SC
      26.1 ± 19.3 PCT

      26.4 ± 18.3 SC
      15.9 ± 16.1 PCT

      14.4 ± 14.1 SC
      • Daubin C.
      • Valette X.
      • Thiolliere F.
      • Mira J.P.
      • Hazera P.
      • Annane D.
      • et al.
      Procalcitonin algorithm to guide initial antibiotic therapy in acute exacerbations of COPD admitted to the ICU: a randomized multicenter study.
      11 ICUs in France4 (2–5) PCT

      3 (2–5.75) SC
      Severe acute exacerbations of COPD151 PCT

      151 SC
      0.1 μg/l or less than 90%

      Mixed
      93%19/151 (12.6%) PCT

      17/151 (11.3%) SC
      ICU mortality.
      7.9 ± 8 PCT

      7.7 ± 5.7 SC
      18.85 ± 18.29 PCT

      14.82 ± 9.48 SC
      9.67 ± 13.37 PCT

      7.19 ± 5.98 SC
      • de Jong E.
      • van Oers J.A.
      • Beishuizen A.
      • Vos P.
      • Vermeijden W.J.
      • Haas L.E.
      • et al.
      Efficacy and safety of procalcitonin guidance in reducing the duration of antibiotic treatment in critically ill patients: a randomised, controlled, open-label trial.
      15 ICUs in the Netherlands7 (4–10) PCT

      7 (5–10) SC
      Assumed or proven infection761 PCT

      785 SC
      ≤0.5 μg/l or drop to ≤20%

      Cessation
      56.9%149/761 (19.6%) PCT

      196/785 (25.0%) SC
      ICU mortality.
      5 (3–8) PCT

      7 (4–10) SC
      21 (12–40) PCT

      21 (11–38) SC
      8 (4–18) PCT

      8 (4–17) SC
      • Deliberato R.O.
      • Marra A.R.
      • Sanches P.R.
      • Martino M.D.
      • Ferreira C.E.
      • Pasternak J.
      • et al.
      Clinical and economic impact of procalcitonin to shorten antimicrobial therapy in septic patients with proven bacterial infection in an intensive care setting.
      ICU in São Paulo, Brazil6.29 ± 2.85 PCT

      5.38 ± 3.33 SC
      Suspected sepsis, severe sepsis, or septic shock42 PCT

      39 SC
      <0.5 ng/ml or drop >90%

      Cessation
      20/42

      31/39
      2/42 (4.8%) PCT

      4/39 (10.3%) SC
      30-day mortality.
      10 (3–39) PCT

      11 (2–45) SC
      11 (3–547) PCT

      11 (2–228) SC
      3.5 (1–57) PCT

      3 (1–28) SC
      • Hochreiter M.
      • Kohler T.
      • Schweiger A.M.
      • Keck F.S.
      • Bein B.
      • von Spiegel T.
      • et al.
      Procalcitonin to guide duration of antibiotic therapy in intensive care patients: a randomized prospective controlled trial.
      ICU at the West Coast Hospital Heide<8Confirmed or suspected bacterial infections57 PCT

      53 SC
      <1 ng/ml or drop to 35%

      Cessation
      NR15/57 (26.3%) PCT

      14/53 (26.4%) SC
      30-day mortality.
      5.9 ± 1.7 PCT

      7.9 ± 0.5 SC
      NR15 ± 12.5 PCT

      17.7 ± 10.1 SC
      • Jensen J.U.
      • Hein L.
      • Lundgren B.
      • Bestle M.H.
      • Mohr T.T.
      • Andersen M.H.
      • et al.
      Procalcitonin-guided interventions against infections to increase early appropriate antibiotics and improve survival in the intensive care unit: a randomized trial.
      9 ICUs across DenmarkNRCritically ill patients604 PCT

      596 SC
      ≥1.0 ng/ml

      Initiation
      47%190/604 (31.5%) PCT

      191/596 (32%) SC
      ICU mortality.
      6 (3–11) PCT

      4 (3–10) SC
      NR6 (3–12) PCT

      5 (3–11) SC
      • Layios N.
      • Lambermont B.
      • Canivet J.L.
      • Morimont P.
      • Preiser J.C.
      • Garweg C.
      • et al.
      Procalcitonin usefulness for the initiation of antibiotic treatment in intensive care unit patients.
      5 ICUs of the

      University Hospital of Liege, Belgium
      9.3 ± 4.9 PCT

      9.1 ± 5.4 SC
      Critically ill patients258 PCT

      251 SC
      >0.50 μg/l

      Initiation
      46.3%56/258 (21.7%) PCT

      53/251 (21.1%) SC
      28-day mortality.
      NRNR7 (4–16) PCT

      7 (4–18) SC
      • Najafi A.
      • Khodadadian A.
      • Sanatkar M.
      • Shariat Moharari R.
      • Etezadi F.
      • Ahmadi A.
      • et al.
      The comparison of procalcitonin guidance administer antibiotics with empiric antibiotic therapy in critically ill patients admitted in intensive care unit.
      ICU at Sina Hospital, Iran5.4 ± 3.6 PCT

      5.7 ± 2.8 SC
      Critically ill patients with SIRS30 PCT

      30 SC
      ≥2 ng/ml

      Initiation
      NR5/30 (16.7%) PCT

      4/30 (13.3%) SC
      30-day mortality.
      NR20 (8–44) PCT

      22 (6–65) SC
      4 (2–20) PCT

      6 (2–28) SC
      • Nobre V.
      • Harbarth S.
      • Graf J.D.
      • Rohner P.
      • Pugin J.
      Use of procalcitonin to shorten antibiotic treatment duration in septic patients: a randomized trial.
      ICU at University Hospital of Geneva, Switzerland6.6 ± 3.0 PCT

      6.4 ± 3.3 SC
      Severe sepsis or septic shock39 PCT

      40 SC
      <0.25 μg/l or drop >90%

      Cessation
      81%8/39 (20.5%) PCT

      8/40 (20.0%) SC
      ICU mortality.
      6 (2–33) PCT

      9.5 (3–34) SC
      17 (3–96) PCT

      23.5 (5–44) SC
      4 (1–21) PCT

      7 (1–91) SC
      • Oliveira C.F.
      • Botoni F.A.
      • Oliveira C.R.
      • Silva C.B.
      • Pereira H.A.
      • Serufo J.C.
      • et al.
      Procalcitonin versus C-reactive protein for guiding antibiotic therapy in sepsis: a randomized trial.
      2 ICUs in Brazil7.5 (5–10) PCT

      7 (4–10) CRP
      Suspected severe sepsis or septic shock49 PCT

      45 CRP
      <0.1 ng/ml or decrease ≥90%

      Cessation
      87.8%16/49 (32.7%) PCT

      15/45 (33.3%) CRP
      ICU mortality.
      8.1 ± 3.7 PCT

      7.2 ± 3.5 CRP
      36 (20–59) PCT

      25 (13–52) CRP
      14 (9–24) PCT

      12 (7–18) CRP
      • Schroeder S.
      • Hochreiter M.
      • Koehler T.
      • Schweiger A.M.
      • Bein B.
      • Keck F.S.
      • et al.
      Procalcitonin (PCT)-guided algorithm reduces length of antibiotic treatment in surgical intensive care patients with severe sepsis: results of a prospective randomized study.
      ICU of the Westküsten-klinikum Heide, Germany7.3 ± 3.5 PCT

      8.3 ± 4.2 SC
      Severe sepsis14 PCT

      13 SC
      <1 ng/ml or drop to 35%

      Cessation
      NR3/14 (21.4%) PCT

      3/13 (23.0%) SC
      30-day mortality.
      6.6 ± 1.1 PCT

      8.3 ± 0.7 SC
      NR16.4 ± 8.3 PCT

      16.7 ± 5.6 SC
      • Shehabi Y.
      • Sterba M.
      • Garrett P.M.
      • Rachakonda K.S.
      • Stephens D.
      • Harrigan P.
      • et al.
      Procalcitonin algorithm in critically ill adults with undifferentiated infection or suspected sepsis. A randomized controlled trial.
      11 ICUs in Australia6 (3–9) PCT

      6 (3–8) SC
      Suspected bacterial infection196 PCT

      198 SC
      <0.1 ng/ml or decline >90%

      Cessation
      97%30/196 (16%) PCT

      26/198 (13%) SC
      30-day mortality.
      9 (6–21) PCT

      11 (6–22) SC
      15 (9–29) PCT

      17 (10–32) SC
      6 (3–9.5) PCT

      6 (4–10) SC
      • Stolz D.
      • Smyrnios N.
      • Eggimann P.
      • Pargger H.
      • Thakkar N.
      • Siegemund M.
      • et al.
      Procalcitonin for reduced antibiotic exposure in ventilator-associated pneumonia: a randomised study.
      7 ICUs in USA and Switzerland8.2 ± 3.4 PCT

      7.3 ± 3.4 SC
      Ventilator-associated pneumonia51 PCT

      50 SC
      <0.25 μg/l or decrease by ≥80%

      Cessation
      NR8/51 (16%) PCT

      12/50 (24%) SC
      ICU mortality.
      10 (6–16) SC

      15 (10–23) PCT
      26 (7–21) PCT

      26 (16.8–22.3) SC
      NR
      • Wang J.X.
      • Zhang S.M.
      • Li X.H.
      • Zhang Y.
      • Xu Z.Y.
      • Cao B.
      Acute exacerbations of chronic obstructive pulmonary disease with low serum procalcitonin values do not benefit from antibiotic treatment: a prospective randomized controlled trial.
      Department of Respiratory and CCM Beijing Luhe Hospital, ChinaNRAcute exacerbations of COPD95 PCT

      96 SC
      <0.1 ng/ml

      Cessation
      NR5/95 (5.6%) PCT

      2/96 (2.1%) SC
      30-day mortality.
      ,
      Hospital mortality.
      17 ± 17.9 PCT

      12 ± 12.5 SC
      10.9 ± 8.1 PCT

      9.9 ± 5.1 SC
      NR
      CCM, critical care medicine; COPD, chronic obstructive lung disease; CRP, C-reactive protein; ICU, intensive care unit; LOS, length of stay; NR, not reported; PCT, procalcitonin-guided antibiotic therapy; RCT, randomized controlled trial; SC, standard care; SIRS, systemic inflammatory response syndrome; SOFA, Sequential Organ Failure Assessment.
      a 28-day mortality.
      b 30-day mortality.
      c ICU mortality.
      d Hospital mortality.

      Risk of bias

      The quality of the trials was appraised according to the Cochrane Collaboration tool: the risk of bias was in high in four trials, moderate in nine trials, and low in three trials (Supplementary Material Figure S1). The funnel plot did not show any obvious publication bias, with a relatively uniform distribution either side of the line of unity (Supplementary Material Figure S2).

      Primary outcome

      A total of 16 RCTs (6452 participants) were included in the primary analysis of short-term mortality. The combined estimate of the pooled RR for all studies based on the fixed-effects model for short-term mortality was 0.90 (95% CI 0.80–1.01; p =  0.07), with no statistically significant difference observed between PCT-guided antibiotic therapy and standard antibiotic therapy (Figure 2). The test for heterogeneity was not significant (p =  0.88; I2 = 0%), as shown in the sensitivity analysis (Supplementary Material Figure S3). On analysis of each PCT strategy subgroup, PCT-guided cessation of antibiotics decreased the short-term mortality of patients in the PCT-guided group compared with those in the standard care group (RR 0.82, 95% CI 0.70–0.96; p = 0.01), while no difference was found for the subgroups of initiation strategy (RR 0.99, 95% CI 0.81–1.22; p = 0.96) or mixed strategy (RR 1.02, 95% CI 0.73–1.41; p = 0.92). No significant subgroup heterogeneity was observed (p > 0.50; I2 = 0%).
      Figure 2
      Figure 2Forest plot of the effects of PCT-guided antibiotic strategies on short-term mortality.
      With regard to the PCT cessation strategy, patients with an average SOFA score of <8 in the PCT-guided group had lower short-term mortality compared with the standard care group in the subgroup analysis (RR 0.81, 95% CI 0.66–0.99; p =  0.04; Table 2), while no difference was found in the subgroup with a SOFA score >8 (RR 0.85, 95% CI 0.66–1.11; p =  0.23). There was no indication of heterogeneity (p >  0.50; I2 = 0%). In the subgroup analysis, patients with suspected sepsis or lower algorithm adherence in the PCT-guided group had lower short-term mortality compared with those in the standard care group, while no difference was found in the subgroups of confirmed sepsis or higher algorithm adherence.
      Table 2Subgroups of PCT-guided cessation of antibiotic therapy.
      SubgroupsNumber of trialsMortality: PCT vs. SCPooled OR95% CIp-ValueHeterogeneity: I2; p-value
      Cessation10373/1852 vs. 432/18470.820.70–0.960.010%; 0.83
      SOFA score9371/1756 vs. 427/17520.830.70–0.970.020%; 0.84
       SOFA >83151/612 vs. 164/5920.850.66–1.110.230%; 0.75
       SOFA <86220/1144 vs. 263/11600.810.66–0.990.040%; 0.62
      Diagnosis10373/1852 vs. 432/18470.820.70–0.960.010%; 0.83
       Suspected4196/1110 vs. 241/11310.790.64–980.0313%; 0.33
       Confirmed6177/742 vs. 191/7160.860.68–1.090.210%; 0.93
      Adherence10373/1852 vs. 432/18470.950.85–1.070.010%; 0.83
       Adherence >70%456/380 vs. 54/3781.030.68–1.560.900%; 0.65
       Adherence <70%6317/1472 vs. 378/14690.790.67–0.940.0070%; 0.84
      CI, confidence interval; OR, odds ratio; PCT, procalcitonin-guided antibiotic therapy; SC, standard care; SOFA, Sequential Organ Failure Assessment.
      A post hoc TSA for mortality at short-term mortality with included trials showed a TSA-adjusted RR of 0.91 (95% CI 0.80–1.02; p =  0.0988; I2 = 0%; diversity (D2) = 0%). The cumulative did not cross the Z-curve, the conventional boundary, or the trial sequential monitoring boundary (Figure 3; Supplementary Material Figure S4), indicating the urgent need for larger well-designed RCTs.
      Figure 3
      Figure 3Post hoc trial sequential analysis (TSA) for mortality at short-term mortality with included trials with no events.
      *A post hoc TSA for mortality at short-term mortality with included trials with no events, type 1 error of 5%, and power of 80%, revealed a TSA-adjusted RR of 0.91 (95% CI 0.80–1.02; p =  0.0988; Q = 9.5, I2 = 0%; diversity (D2) = 0%; and Supplementary Material Figure S3). On the basis of a mortality incidence of 23.8% in the control arm and risk reduction of 10.00%, the required information size (RIS) is 10 135.
      Eight trials assessed 28-day mortality and no statistically significant difference was observed between the two groups (p = 0.05). Furthermore, there was no statistically significant difference between the groups for ICU mortality (reported in five trials; p = 0.86) or hospital mortality (assessed in nine trials; p = 0.52) (Table 3).
      Table 3Time horizon for mortality.
      Term of mortalityNumber of trialsMortality: PCT vs. SCPooled OR95% CIp-ValueHeterogeneity: I2; p-value
      28-day mortality8595/2509 vs. 652/25100.880.77–1.000.050%; 0.66
      ICU mortality599/677 vs. 95/6691.030.75–2.930.860%; 0.43
      Hospital mortality983/556 vs. 89/5480.900.64–1.250.520%; 0.84
      Other mortality6
      60-day mortality was assessed in two trials, 90-day mortality in three trials, 1-year mortality in one trial.
      844/2566 vs. 874/25730.950.85–1.070.4057%; 0.04
      CI, confidence interval; ICU, intensive care unit; OR, odds ratio; PCT, procalcitonin-guided antibiotic therapy; SC, standard care.
      a 60-day mortality was assessed in two trials, 90-day mortality in three trials, 1-year mortality in one trial.

      Secondary outcomes

      Antibiotic duration was assessed in 14 trials, with 10 in the cessation subgroup and three in the mixed subgroup, and one in the initiation subgroup. Two studies (
      • Layios N.
      • Lambermont B.
      • Canivet J.L.
      • Morimont P.
      • Preiser J.C.
      • Garweg C.
      • et al.
      Procalcitonin usefulness for the initiation of antibiotic treatment in intensive care unit patients.
      ,
      • Najafi A.
      • Khodadadian A.
      • Sanatkar M.
      • Shariat Moharari R.
      • Etezadi F.
      • Ahmadi A.
      • et al.
      The comparison of procalcitonin guidance administer antibiotics with empiric antibiotic therapy in critically ill patients admitted in intensive care unit.
      ) were excluded because their measurement of antibiotic duration differed from that in the other studies. The overall mean antibiotic duration was 0.99 days shorter (95% CI −1.85 to −0.13 days; p = 0.02; Figure 4) in the PCT-guided group compared with that in the standard care group using a random-effects model. Significant heterogeneity between the pooled trials was observed (p < 0.001; I2 = 90%; Supplementary Material Figures S5 and S6). On analysis of each PCT strategy subgroup, the duration was 1.34 days shorter (95% CI −2.08 to −0.60 days; p = 0.02) for the patients in the cessation subgroup of the PCT-guided group, while the duration was not significantly shorter in the mixed subgroup patients (95% CI −3.1 to 1.71; p = 0.57). The tests for subgroup heterogeneity were significant (p < 0.001, I2 = 76% and p < 0.001, I2 = 92%, respectively).
      Figure 4
      Figure 4Forest plot of effects of PCT-guided antibiotic strategies on antibiotic duration.
      Data on the ICU LOS were assessed in 14 trials. A significant reduction was demonstrated in the mixed PCT strategy subgroup. The ICU LOS in the PCT-guided groups was reduced by 2.01 days (95% CI 0.18–3.85 days; p = 0.03; Supplementary Material Figure S7) compared with that in the standard care groups, without heterogeneity (p = 0.50; I2 = 0%). However, there was no statistically significant difference in the cessation PCT strategy subgroup analysis or the whole pooled meta-analysis (MD 0.13, 95% CI −0.47 to 0.73; p = 0.67 and MD 0.38, 95% CI −0.05 to 0.81; p = 0.09), with moderate heterogeneity (p = 0.04, I2 = 44% and p = 0.04, I2 = 53%, respectively).
      Among the 14 trials included in the meta-analysis for hospital LOS, both the random- and fixed-effects models could not demonstrate a significant reduction in the PCT-guided group compared with the standard care group (MD 0.19, 95% CI −1.56 to 1.95; p = 0.83; Supplementary Material Figure S8). Moderate heterogeneity was observed (I2 = 56%; p =  0.009). Furthermore, there was no statistically significant difference in the subgroup analysis of the PCT strategy subgroups or SOFA score subgroups (all p > 0.10), with moderate heterogeneity.

      Discussion

      The use of PCT-guided antibiotic therapy to optimize antibiotic treatment has been controversial over the past decades. This meta-analysis of 16 studies, including 6452 patients with infections treated in ICUs, revealed that PCT-guided antibiotic therapy did not lead to a decrease in mortality (a robust effect) and that PCT-guided initiation or mixed strategies of antibiotic therapy did not decrease the short-term mortality of critically ill patients with sepsis. Although the subgroup analysis of PCT-guided cessation of antibiotics revealed a lower short-term mortality in the PCT-guided groups and in those patients with a mean SOFA score of <8, the short-term mortality was comparable in the two groups in the SOFA score >8 subgroup and in those in the confirmed sepsis subgroup.
      There are several possible explanations for this result. Firstly, sepsis is a heterogeneous syndrome developing from different possible infected organs and with different clinical presentations based on severity (
      • Cecconi M.
      • Evans L.
      • Levy M.
      • Rhodes A.
      Sepsis and septic shock.
      ,
      • Levy M.M.
      • Evans L.E.
      • Rhodes A.
      The surviving sepsis campaign bundle: 2018 update.
      ). Appropriate antibiotic therapy and close monitoring remain the cornerstone of sepsis care, but not all. Starting antibiotic treatment in the ambulance when the patient is suspected of suffering from an infection was found not to lead to improved survival (
      • Alam N.
      • Oskam E.
      • Stassen P.M.
      • Exter P.V.
      • van de Ven P.M.
      • Haak H.R.
      • et al.
      Prehospital antibiotics in the ambulance for sepsis: a multicentre, open label, randomised trial.
      ). The severity of infection is often associated with the development of multidrug-resistant bacterial pathogens, which is detrimental to the patient outcome (
      • Busani S.
      • Serafini G.
      • Mantovani E.
      • Venturelli C.
      • Giannella M.
      • Viale P.
      • et al.
      Mortality in patients with septic shock by multidrug resistant bacteria: risk factors and impact of sepsis treatments.
      ,
      • Kollef M.H.
      • Bassetti M.
      • Francois B.
      • Burnham J.
      • Dimopoulos G.
      • Garnacho-Montero J.
      • et al.
      The intensive care medicine research agenda on multidrug-resistant bacteria, antibiotics, and stewardship.
      ). It is possible that PCT-guided antibiotic therapy is more suitable for patients without multiple organ failure in the emergency department or general ward setting.
      Secondly, PCT levels have been shown to increase in the event of systemic inflammatory response syndrome (SIRS) or organ dysfunction attributable to the presence of various non-infectious causes, such as trauma or ischemic conditions (
      • Wanner G.A.
      • Keel M.
      • Steckholzer U.
      • Beier W.
      • Stocker R.
      • Ertel W.
      Relationship between procalcitonin plasma levels and severity of injury, sepsis, organ failure, and mortality in injured patients.
      ,
      • Hoshino K.
      • Irie Y.
      • Mizunuma M.
      • Kawano K.
      • Kitamura T.
      • Ishikura H.
      Incidence of elevated procalcitonin and presepsin levels after severe trauma: a pilot cohort study.
      ,
      • Parli S.E.
      • Trivedi G.
      • Woodworth A.
      • Chang P.K.
      Procalcitonin: usefulness in acute care surgery and trauma.
      ), and correlate with the severity of organ dysfunction and the number of affected organs (
      • Sudhir U.
      • Venkatachalaiah R.K.
      • Kumar T.A.
      • Rao M.Y.
      • Kempegowda P.
      Significance of serum procalcitonin in sepsis.
      ). Furthermore, PCT levels and PCT guidance failed to identify the response to antibiotic therapy or prevent potential adverse events, such as a toxic effect or bacterial resistance (
      • Bouadma L.
      • Luyt C.E.
      • Tubach F.
      • Cracco C.
      • Alvarez A.
      • Schwebel C.
      • et al.
      Use of procalcitonin to reduce patients’ exposure to antibiotics in intensive care units (PRORATA trial): a multicentre randomised controlled trial.
      ). In addition, the stewardship and movement towards shorter courses of antibiotic treatment may contribute to a further reduction in antibiotic exposure (
      • Chastre J.
      • Wolff M.
      • Fagon J.Y.
      • Chevret S.
      • Thomas F.
      • Wermert D.
      • et al.
      Comparison of 8 vs 15 days of antibiotic therapy for ventilator-associated pneumonia in adults: a randomized trial.
      ,
      • Pugh R.
      • Grant C.
      • Cooke R.P.
      • Dempsey G.
      Short-course versus prolonged-course antibiotic therapy for hospital-acquired pneumonia in critically ill adults.
      ,
      • Spellberg B.
      The new antibiotic mantra—“Shorter Is Better”.
      ,
      • Rhodes A.
      • Evans L.E.
      • Alhazzani W.
      • Levy M.M.
      • Antonelli M.
      • Ferrer R.
      • et al.
      Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016.
      ), which is associated with lower mortality and treatment failure risk in sepsis patients (
      • Chotiprasitsakul D.
      • Han J.H.
      • Cosgrove S.E.
      • Harris A.D.
      • Lautenbach E.
      • Conley A.T.
      • et al.
      Comparing the outcomes of adults with enterobacteriaceae bacteremia receiving short-course versus prolonged-course antibiotic therapy in a multicenter, propensity score-matched cohort.
      ,
      • Montravers P.
      • Tubach F.
      • Lescot T.
      • Veber B.
      • Esposito-Farese M.
      • Seguin P.
      • et al.
      Short-course antibiotic therapy for critically ill patients treated for postoperative intra-abdominal infection: the DURAPOP randomised clinical trial.
      ). Further research is necessary to assess the effect of combined PCT testing with other management of sepsis.
      Thirdly, compliance varied in the included trials, and lower compliance with PCT-guided antibiotic therapy was associated with a shorter antibiotic duration (Table 2). Finally, the interventions used in the control groups and the randomization in the included trials are debatable (
      • Lisboa T.
      • Salluh J.
      • Povoa P.
      Do we need new trials of procalcitonin-guided antibiotic therapy?.
      ,
      • van Oers J.A.H.
      • Nijsten M.W.
      • de Lange D.W.
      Do we need new trials of procalcitonin-guided antibiotic therapy? A response.
      ). Clear initiation or cessation rules for antibiotic duration based on strict guidelines would make the control group more compatible with the PCT-guided group (
      • Silverman H.J.
      • Miller F.G.
      Control group selection in critical care randomized controlled trials evaluating interventional strategies: An ethical assessment.
      ) and could lead to a better evaluation of the effect of PCT guidance.
      The strengths of this meta-analysis include the large number of subjects enrolled and the variety of study characteristics. Moreover, focus was placed on the severity of sequential organ failure and whether infection was confirmed in the critically ill patients. However, this meta-analysis has several limitations. Firstly, the average SOFA score, which indicates severity of the enrolled population, was not feasible to explicitly evaluate the severity of critically ill. We used average SOFA scores for grouping, so the two subgroups of patients may have over-lapping SOFA scores, which might bring heterogeneity to analysis. Secondly, the small number of trials in the subgroup of PCT-guided initiation or mixed strategies of antibiotic therapy may have led to an underestimation of the effect of PCT guidance. Thirdly, the diagnostic criteria of sepsis varied between the included studies.
      In conclusion, this meta-analysis demonstrated that PCT-guided cessation of antibiotic therapy decreased the short-term mortality of sepsis patients, but that PCT-guided initiation of antibiotics or mixed cessation and initiation strategies did not decrease the short-term mortality and that PCT-guided antibiotics did not decrease other term mortality. PCT-guided antibiotic therapy decreased the duration of antibiotics in the overall meta-analysis and the cessation of antibiotics subgroup analysis; however, this was in contrast to the subgroup of the mixed strategies and a SOFA score >8. Furthermore, PCT-guided antibiotic therapy did not reveal any benefit in the length of ICU or hospital stay. Taken together, it is deemed that the study findings can be attributed to the fact that the PCT-based prescribing guidelines provide fewer opportunities to change antibiotic decisions.

      Availability of data and materials

      The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

      Consent for publication

      Not applicable.

      Ethical approval and consent to participate

      Not applicable.

      Funding

      This work was supported in part by grants from the National Science and Technology Major Project for Control and Prevention of Major Infectious Diseases of China (Grant No. 2017ZX10103004), National Natural Science Foundation of China (Grant No. 81671892), Jiangsu Province Key Discipline/Laboratory of Medicine (Grant No. ZDXKA2016025), Jiangsu Province Key Provincial Talents Program (Grant No. ZDRCA2016082), and Postgraduate Research & Practice Innovation Program of Jiangsu Province (Grant No. KYCX18_0181).

      Conflict of interest

      The authors declare that they have no competing interests.
      Author contributions: FP and YY studied the design; FP, WC, JFX, and QS conducted the study; FP and WC analyzed the data; FP, WC, JFX, and YY were involved in the data interpretation; FP, WC, HBQ, and YY wrote and revised the paper. All authors read and approved the final manuscript.

      Appendix A. Supplementary data

      The following is Supplementary data to this article:

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