Splenic and portal venous flow associated with frailty and sarcopenia in older outpatients with cardiovascular disease

Table 3 Multivariate logistic regression analysis for frailty and sarcopenia associated with estimated splenic venous flow

	OR	LCI	UCI	P
Model for frailty by J-CHS criteria with estimated splenic venous flow, mL/min
Univariate	0.999	0.996	1.002	0.554
Multivariate-adjusted model	0.999	0.995	1.002	0.448
Model for frailty by KCL criteria with estimated splenic venous flow, mL/min
Univariate	0.996	0.992	1.000	0.028
Multivariate-adjusted model	0.993	0.988	0.998	0.008
Model for sarcopenia by AWGS2019 with estimated splenic venous flow, mL/min
Univariate	0.994	0.990	0.998	0.005
Multivariate-adjusted model	0.991	0.985	0.997	0.004
Model for low ASMI with estimated splenic venous flow, mL/min
Univariate	0.997	0.994	0.9999	0.043
Multivariate-adjusted model	0.994	0.990	0.999	0.009
Model for low handgrip strength with estimated splenic venous flow, mL/min
Univariate	0.999	0.996	1.001	0.367
Multivariate-adjusted model	0.998	0.995	1.001	0.250
Model for slow gait speed with estimated splenic venous flow, mL/min
Univariate	0.997	0.994	1.000	0.057
Multivariate-adjusted model	0.997	0.993	1.000	0.077

OR odds ratio, LCI 95% lower confidence interval, UCI 95% upper confidence interval, J-CHS criteria Japanese version Cardiovascular Health Study criteria, KCL Kihon check list, ASMI appendicular skeletal muscle index. Age, sex BMI, SBP at echo, regular alcohol drinking habit, smoking status, dyslipidemia, diabetes, hypertension, atrial fibrillation, heart failure, and history of stroke were included in the multivariate-adjusted model

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