Highlights
- •Hydroxychloroquine + azithromycin (HCQ + AZ) did not reduce recovery time in COVID-19
- •HCQ + AZ had no effect on the risk of worsening or transfer to the intensive care unit
- •The use of HCQ + AZ appeared to be associated with lower mortality rates
Abstract
Objectives
Methods and Designs
Results
Conclusions
Keywords
Background
- Zhu N
- Zhang D
- Wang W
- Li X
- Yang B
- Song J
- et al.
Worldometer. Coronavirus Cases. Worldometer 2020. https://www.worldometers.info/coronavirus/coronavirus-cases/#daily-cases (accessed December 31, 2020).
- Zhaowei CJH
- Zhang Z
- Jiang S
- Han S
- Yan D
- Zhuang R
- et al.
- Dagens A
- Sigfrid L
- Cai E
- Lipworth S
- Cheung V
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- et al.
Wilson KC, Chotirmall SH, Bai C, Rello J. COVID-19: Interim Guidance on Management Pending Empirical Evidence. From an American Thoracic Society-led International Task Force 2020. https://www.thoracic.org/covid/covid-19-guidance.pdf.
- Bernaola N
- Mena R
- Bernaola A
- Carballo C
- Lara A
- Bielza C
- et al.
- Catteau L
- Dauby N
- Montourcy M
- Bottieau E
- Hautekiet J
- Goetghebeur E
- et al.
- Gautret P
- Lagier JC
- Parola P
- Hoang VT
- Meddeb L
- Sevestre J
- et al.
- Lagier JC
- Million M
- Gautret P
- Colson P
- Cortaredona S
- Giraud-Gatineau A
- et al.
- Million M
- Lagier JC
- Gautret P
- Colson P
- Fournier PE
- Amrane S
- et al.
- Pan H
- Peto R
- Karim QA
- Alejandria M
- Henao-Restrepo AM
- García CH
- et al.
Methods
Study design, sites, and participants
Data sources and variables assessed
Parameters | Units of measurement/main modalities |
---|---|
Type of follow-up | Hospitalized or followed at home |
Patient demographics | Age (Year), sex (Male, Female) |
Date of hospitalization | Day/Month/Year |
Date of PCR confirmation of diagnosis | Day/Month/Year |
Date of SARS-CoV-2 PCR negativity | Day/Month/Year |
Medication history on admission | HCQ/CQ, Antibiotics, Antivirals |
Comorbidities and risk factors | Types/names of comorbidity/risk factors |
Vital signs and general condition and state of consciousness on admission | SaO2, Temperature, Heart rate |
Signs and symptoms on admission | General condition: good, fair, poor; Consciousness: good or impaired; Types/names of signs and symptoms |
HCQ/CQ treatments | HCQ/CQ prescribed yes or no; Dosage, duration of treatment |
Disease progression | Aggravation, referral to intensive care unit; Date of worsening or referral to intensive care unit |
Disease outcomes | Recovered or Died; Date of recovery or death |
Hydroxychloroquine or chloroquine or exposure and study end points
Data management and statistical analysis
Ethical aspects
Results
Characteristics of the Cohort
Vital signs/clinical signs | Overall | HCQ/CQ Treatment | ||
---|---|---|---|---|
Untreated | Treated | |||
General condition, n/N (%) | <0.001 | |||
Good | 704/836 (84.2) | 75/112 (67.0) | 629/724 (86.9) | |
Fair | 96/836 (11.5) | 18/112 (16.1) | 78/724 (10.8) | |
Bad | 36/836 (4.3) | 19/112 (17.0) | 17/724 (2.3) | |
SaO2, Mean (SD) | 95.7 (7.2) | 90.6 (15.0) | 96.5 (4.6) | <0.001 |
Temperature (°C), Mean (SD) | 37.0 (0.6) | 37.2 (0.9) | 36.9 (0.6) | 0.004 |
History of fever, n/N (%) | 239/863 (27.7) | 49/118 (41.5) | 190/745 (25.5) | <0.001 |
Cough, n/N (%) | 254/856 (29.7) | 46/114 (40.4) | 208/742 (28.0) | 0.031 |
Malaise, n/N (%) | 157/856 (18.3) | 27/114 (23.7) | 130/742 (17.5) | 0.17 |
Headache, n/N (%) | 110/840 (13.1) | 17/114 (14.9) | 93/726 (13.3) | 0.54 |
Shortness of breath, n/N (%) | 110/856 (12.9) | 26/114 (22.8) | 84/742 (11.3) | 0.001 |
Myalgia, n/N (%) | 81/856 (9.5) | 14/114 (12.3) | 67/742 (9.0) | 0.40 |
Arthralgia, n/N (%) | 81/856 (9.5) | 20/114 (17.5) | 61/742 (8.2) | <0.001 |
Rhinorrhea, (runny nose), n/N (%) | 67/856 (7.8) | 12/144 (10.5) | 55/742 (7.4) | 0.36 |
Throat pain, n/N (%) | 61/856 (7.1) | 11/114 (9.6) | 50/742 (6.7) | 0.34 |
Chest pain, n/N (%) | 53/856 (6.2) | 11/114 (9.6) | 42/742 (5.7) | 0.22 |
Anosmia, n/N (%) | 33/856 (3.9) | 2/114 (1.8) | 31/742 (4.2) | 0.30 |
Agueusia, n/N (%) | 24/856 (2.8) | 2/114 (1.8) | 22/742 (3.0) | 0.76 |
Wheezing, n/N (%) | 4/856 (0.5) | 2/114 (1.8) | 2/742 (0.3) | 0.09 |
Charlson comorbidity index, n/N (%) | 0.043 | |||
0 | 728/856 (85.0) | 91/114 (79.8) | 637/742 (85.8) | |
1 – 2 | 123/856 (14.4) | 23/114 (20.2) | 100/742 (13.5) | |
3 – 4 | 4/856 (0.5) | 0/114 (0.0) | 4/742 (0.5) |
Study endpoints
Analysis items | Recovery | Worsening | Death |
---|---|---|---|
No. of events/no. of patients at risk (%) | |||
Treated with HCQ/CQ | 608 | 75/745 (10.1) | 20/336 (5.9) |
Not treated with HCQ/CQ | 73 | 19/118 (16.1) | 24/73 (32.9) |
Measures of association (95% CI) | |||
Crude analysis | 1.30 (1.02–1.65) | 0.62 (0.38–1.03)‡ | 0.15 (0.08–0.27) |
Multivariate analysis | 1.25 (0.97–1.62) | 0.72 (0.43–1.30)‡ | 0.22 (0.10–0.46) |
Multivariate analysis adjusted by timing of HCQ/CQ adoption | 1.15 (0.89–1.49) | 0.80 (0.50–1.50)‡ | 0.20 (0.10–0.44) |
Propensity-score analysis | |||
No. of events/no. of patients at risk (%) | |||
Treated with HCQ/CQ | 67 | 3/67 (6.0) | 0/71 (0.0) |
Not treated with HCQ/CQ | 67 | 4/67 (4.5) | 22/71 (31.0) |
Measures of association (95% CI) | |||
With matching | 1.31 (0.72–2.40) | – | – |
Adjusted for propensity score | 1.44 (0.76–2.71) | – | – |

Discussion
Relationship between the use of CQ/HCQ + AZ and virological recovery, disease worsening, and deaths among patients with COVID-19
- Chivese T
- Musa OAH
- Hindy G
- Al-Wattary N
- Badran S
- Soliman N
- et al.
- Bernaola N
- Mena R
- Bernaola A
- Carballo C
- Lara A
- Bielza C
- et al.
- Catteau L
- Dauby N
- Montourcy M
- Bottieau E
- Hautekiet J
- Goetghebeur E
- et al.
- Lagier JC
- Million M
- Gautret P
- Colson P
- Cortaredona S
- Giraud-Gatineau A
- et al.
- Bernaola N
- Mena R
- Bernaola A
- Carballo C
- Lara A
- Bielza C
- et al.
- Catteau L
- Dauby N
- Montourcy M
- Bottieau E
- Hautekiet J
- Goetghebeur E
- et al.
- Lagier JC
- Million M
- Gautret P
- Colson P
- Cortaredona S
- Giraud-Gatineau A
- et al.
- Ip A
- Berry DA
- Hansen E
- Goy AH
- Pecora AL
- Sinclaire BA
- et al.
- Singh S
- Khan A
- Chowdhry M
- Chatterjee A.
Weighting to be done in this study
Conclusion
Acknowledgments
Funding
Competing interests
Data sharing
Contributions
Ethics approval
Consent for publication
Appendix. Supplementary materials
References
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