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. 2021 Aug 11;44(2):835–845. doi: 10.1007/s11357-021-00434-x

Table 2.

Multivariable Cox models (unadjusted and adjusted) for all-cause mortality using the three phenotype categories (physical frailty, liver fibrosis, and liver frailty). The Salus in Apulia Study (n = 1929)

HR CI 95% Std. Err
Model 1 [C statistic:0.723 (std.err:0.019)]
Physical frailty 1.47 0.98 to 2.16 0.20
Age (years) 1.11 1.09 to 1.14 0.01
Sex (female) 0.38 0.35 to 0.63 0.17
Education (years) 0.94 0.89 to 0.98 0.02
Alcohol consumptiona 0.22 0.05 to 0.89 0.71
Model 2 [C statistics: 0.757 (std. err:0.018)]
FIB-4 (> 2.67) 1.63 1.23 to 2.17 0.14
Age (years) 1.10 1.08 to 1.13 0.01
Sex (female) 0.49 0.37 to 0.66 0.14
Education (years) 0.97 0.93 to 1.01 0.02
Alcohol consumptiona 0.21 0.05 to 0.85 0.03
Model 3 [C statistics: 0.732 (std. err.:0.019)]
Physical frailty 1.63 0.96 to 2.77 0.27
FIB-4 (> 2.67) 1.70 1.18 to 2.45 0.18
Liver frailty 2.09 1.16 to 3.74 0.29
Age (years) 1.10 1.07 to 1.13 0.01
Sex (female) 0.41 0.29 to 0.58 0.17
Education (years) 0.94 0.90 to 0.99 0.02
Alcohol consumptiona 0.21 0.05 to 0.88 0.71

Model 1: Results of Cox multi-variable analysis on physical frailty as regressor, corrected for age, sex, education, and alcohol consumption. Model 2: Results of Cox multi-variable analysis on fibrosis-4 (FIB-4) score (> 2.67] as regressor, corrected for age, sex, education, and alcohol consumption. Model 3: Results of Cox multi-variable analysis on physical frailty, FIB-4 (> 2.67] and liver frailty as regressors, corrected for age, sex, education, and alcohol consumption

aAlcohol consumption Yes if > 50 g/day or 18,250 g/year (males), and > 25,g/day or 9125,g/year (females)