Statistical Analysis
PWH
CVD, EVENTS, EVENT, REGRESSION
We emulated a target trial to compare the risk of CVD events between treatment-naïve PWH who started INSTIs and those who started other ART. The time to CVD event was analyzed using pooled logistic regression models with inverse probability weighting to adjust for confounding, artificial censoring, and loss to follow-up. Stabilized treatment weights were estimated by fitting a logistic regression model with treatment allocation as the outcome, and the following time-fixed confounders as covariates (all evaluated at or before ART start): calendar year, age, sex, ethnicity (Caucasian, African origin, and other), HIV transmission group (men who have sex with men, heterosexual contacts, people who inject drugs, and other), highest education (high-level, basic, and no professional education), CD4 at ART start (≥500 cells/µL, 350–499 cells/µL, 200–349 cells/µL, < 200 cells/µL), HIV DNA at ART start (50–199 cp/mL, 200–100 000 cp/mL, > 100 000 cp/mL), personal and family history of CVD, body mass index ( < 18.5 kg/m