Table 3.

Association between LBMI and mortality at 3 months.

	Events, n (%)	Age and sex-adjusted			MV-adjusted			MV and FMI-adjusted*
		OR	(95% CI)	P	OR	(95% CI)	P	OR	(95% CI)	P
Q1 (8.5–15.8), n = 2685	126 (4.7)	1.00	(reference)		1.00	(reference)		1.00	(reference)
Q2 (12.4–16.9), n = 2683	47 (1.8)	0.43	(0.31–0.61)	< 0.001	0.47	(0.33–0.67)	< 0.001	0.54	(0.37–0.80)	0.002
Q3 (13.3–17.9), n = 2684	34 (1.3)	0.35	(0.24–0.52)	< 0.001	0.41	(0.27–0.61)	< 0.001	0.51	(0.32–0.82)	0.006
Q4 (14.2–29.2), n = 2683	30 (1.1)	0.37	(0.24–0.56)	< 0.001	0.42	(0.27–0.66)	< 0.001	0.61	(0.34–1.08)	0.09

The multivariable model included age, sex, hypertension, dyslipidemia, diabetes mellitus, smoking, drinking, atrial fibrillation, chronic kidney disease, history of stroke, stroke subtype (cardioembolism, small vessel occlusion, large artery atherosclerosis, or others), National Institutes of Health Stroke Scale score on admission, and reperfusion therapy.

Mortality was defined as death from any cause 3 months after stroke onset. Lean body mass index (LBMI) was categorized into four groups according to quartiles by sex.

CI, confidence interval; FMI, fat mass index; LBMI, lean body mass index; MV, multivariable; OR, odds ratio.

*Fat mass index was added to the multivariable model.