Qualitative variables are expressed as frequency counts and percentages. Quantitative variables are expressed as the median and 1st–3rd quartile. Proportions were compared using the χ2 or Fisher’s exact test, and continuous variable were tested using parametric (t test) and non-parametric test (Mann–Whitney U test) when appropriate. To calculate the propensity score of receiving TDF, we fitted a logistic model including age, sex, obesity, arterial hypertension, diabetes mellitus, ischemic cardiopathy, HBeAg presence, detectable HBV DNA, and advanced fibrosis [17 (link)]. Then, we used inverse probability of treatment weighting (IPTW) propensity score method to compare COVID-19 severity between patients receiving TDF or ETV. We assessed the balance of covariates by an overidentification test and by calculating raw and weighted standardized differences. Need for intensive care unit (ICU) and ventilatory support, and mortality were explored by bivariate analysis due to the low number of events. Significance was set at p < 0.05. Data were analyzed using the SPSS Statistics package version 22.0 (SPSS Inc, Chicago, IL).