Table 2.
Incidence rates and hazard ratios for death in COVID-19 patients, according to hydroxychloroquine use.
Multiple imputation analysis (N=3,451) | ||||
---|---|---|---|---|
Death (N=576) | Patient at risk (N=3,451) | Person-days | Death Rate (x1,000 person-days) | |
Hydroxychloroquine | ||||
No- no. (%) | 190 (23.3%) | 817 (100%) | 12,084 | 15.7 |
Yes- no. (%) | 386 (14.7%) | 2,634 (100%) | 43,304 | 8.9 |
Hazard ratio for death (HCQ versus non HCQ) | HR (95% CI) | |||
Crude analysis | 0.56 (0.47 to 0.67) | |||
Multivariable analysis* | 0.70 (0.58 to 0.85) | |||
Propensity score analysis, inverse probability weighting** (primary analysis) | 0.70 (0.59 to 0.84) | |||
Propensity score analysis, stratification (n=5 strata)** | 0.67 (0.56 to 0.81) | |||
Odds ratio for death (HCQ versus non HCQ) | OR (95% CI) | |||
Propensity score analysis, inverse probability weighting** | 0.67 (0.54 to 0.82) | |||
Case Complete Analysis (N=3,156) | ||||
Death (N=510) | Patient at risk (N= 3,156) | Person-days | Death Rate (x1,000 person-days) | |
Hydroxychloroquine | ||||
No- no. (%) | 170 (22.9%) | 741 (100%) | 11,050 | 15.4 |
Yes- no. (%) | 340 (14.1%) | 2,415 (100%) | 39,274 | 8.7 |
Hazard ratio for death (HCQ versus non HCQ) | HR (95% CI) | |||
Crude analysis | 0.56 (0.46 to 0.67) | |||
Multivariable analysis* | 0.71 (0.59 to 0.86) | |||
Propensity score analysis, inverse probability weighting** | 0.64 (0.53 to 0.76) | |||
Propensity score analysis, stratification (n=5 strata)** | 0.68 (0.56 to 0.82) | |||
Odds ratio for death (HCQ versus non HCQ) | OR (95% CI) | |||
Propensity score analysis, inverse probability weighting** | 0.67 (0.54 to 0.82) |
Abbreviations: HR, hazard ratios; CI, confidence intervals. *Controlling for age, sex, diabetes, hypertension, history of ischemic heart disease, chronic pulmonary disease, chronic kidney disease, C-reactive protein, lopinavir/ritonavir or darunavir/cobicistat, tocilizumab or sarilumab, remdesivir or corticosteroids use as fixed effects and hospitals clustering as random effect. **Including hospitals clustering as random effect covariate.