Functional Outcome
stroke
REGRESSION, STROKE, SECONDARY
The secondary outcome was the functional outcome 6 months after stroke, which was assessed using mRS scores. The scores were dichotomized into 2 groups: good outcome (0-2) vs poor outcome (3-6). Logistic regression models were applied to assess the association between trajectory groups and functional recovery while adjusting for covariates. Multicollinearity was assessed between all covariates using the variance inflation factor, and any covariates with a value exceeding 5 were excluded. All covariates were selected based on clinical reasoning and were included in the models without any predetermined variable selection. Subgroup analyses were also conducted by exploring the interaction effects between each specific subgroup and trajectory group in the logistic regression models. Odds ratios (ORs) for subgroup-specific associations and 99% CIs were reported.All statistical tests were 2-sided, and the significance threshold was We performed a sensitivity analysis by calculating the E-value for unmeasured confounding. The E-value indicates the minimum strength of the association an unmeasured confounder would need to have with both the outcome and the exposure to fully explain the observed association.