Table 2.
COVID ordinal scale at 14 d | Results |
---|---|
Results of primary ordinal regression model | |
OR for a less favorable COVID ordinal outcome at 14 d in hydroxychloroquine arm compared with the azithromycin arm (95% credible interval)* | 1.07 (0.63–1.83)* |
Posterior probabilities from primary ordinal regression model for 14-d COVID ordinal outcome | |
P1 = Pr(OR < 1) (any benefit of hydroxychloroquine over azithromycin) | 0.40 |
P2 = Pr(OR < 1/1.25) (at least moderate benefit of hydroxychloroquine over azithromycin) | 0.14 |
P3 = Pr(OR > 1) (any benefit of azithromycin over hydroxychloroquine) | 0.60 |
P4 = Pr(OR > 1.25) (at least moderate benefit of azithromycin over hydroxychloroquine) | 0.29 |
P5 = Pr(1/1.2 < OR <1.2) (negligible difference between the two agents) | 0.48 |
Key secondary endpoints, OR (95% credible interval) | |
COVID ordinal scale at 7 d | 1.16 (0.68–1.96)* |
Hospital-free days at 28 d | 0.91 (0.54–1.54)† |
ICU-free days at 28 d | 0.85 (0.50–1.46)† |
28-d mortality | Too few events |
Definition of abbreviations: COVID = coronavirus disease; ICU = intensive care unit; OR = odds ratio; Pr = probability.
An OR >1 favors azithromycin over hydroxychloroquine for this comparison.
An OR <1 favors azithromycin over hydroxychloroquine for this comparison.