GPT and atrial fibrillation: After adjusting for confounding variables (including age, HGB, LDL-c, TG, AST, HCT, ALT, BUN, HBA1C, FIB, ALB, previous stroke or TIA, hypertension, NIHSS score, DM, atrial fibrillation, and stroke etiology), The results of the two-segment linear regression model analysis showed a non-linear relationship between BMI and the probability of unfavorable outcomes in men with AIS, while neither a linear nor a non-linear relationship between them held in women with AIS.