Statistical Analysis
EVENT, DIABETES MELLITUS
We used χCrude and adjusted models were used to compare the subdistribution hazards of symptom resolution between treatment groups. In the adjusted model, we adjusted for age, sex, race, BMI, diabetes mellitus, time from symptom onset to transfusion, vaccination status, baseline C-reactive protein level, and variant wave. These covariates were specified before analysis, based on clinical evidence suggesting an association with symptoms. We conducted subgroup analyses for the time to resolution of symptoms between treatment groups for sex, age, BMI, race, ethnicity, diabetes mellitus, time from symptom onset to transfusion, and variant wave. Using an unadjusted ordinal logistic model, we assessed differences in the change in severity of cluster 1 symptoms for a subgroup of those reporting the highest severity of those symptoms at baseline. All analyses were conducted using R software, version 4.0.3.To examine the robustness of our results, we first assessed the sensitivity of our results to participants whose symptoms resolved before day 3. For this, we did not count resolution of symptoms before day 3 as an event; however, these participants contributed follow-up time to the analysis and were censored at the time of resolution. We then assessed the sensitivity of our results to the inclusion of fully vaccinated individuals by excluding those who were fully vaccinated from the analysis. Finally, we assessed the sensitivity of our results to the inclusion of those who were hospitalized (n = 54) during follow-up by excluding them from the analysis.