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. 2020 Oct 19;21:438. doi: 10.1186/s12882-020-02102-2

Table 4.

Logistic regression analysis of the predictive variables related to frailty in hemodialysis patients

Odds ratio 95% CI P-value
Model 1
 Fourth quartile group (PA ≥ 5.0°) 1 (ref)
 Third quartile group (PA 4.2 to < 5.0°) 7.304 0.819–65.114 0.075
 Second quartile group (PA 3.7 to < 4.2°) 17.111 2.031–144.136 0.009
 First quartile group (PA < 3.7°) 40.727 4.805–345.219 0.001
Model 2
 Fourth quartile group (PA ≥ 5.0°) 1 (ref)
 Third quartile group (PA 4.2 to < 5.0°) 7.219 0.791–65.885 0.080
 Second quartile group (PA 3.7 to < 4.2°) 16.525 1.867–146.285 0.012
 First quartile group (PA < 3.7°) 36.770 3.906–346.140 0.002
Model 3
 Fourth quartile group (PA ≥ 5.0°) 1 (ref)
 Third quartile group (PA 4.2 to < 5.0°) 4.855 0.383–61.527 0.223
 Second quartile group (PA 3.7 to < 4.2°) 9.315 0.803–108.108 0.074
 First quartile group (PA < 3.7°) 15.612 1.194–204.120 0.036

Model 1: PA class

Model 2: PA class + age, sex, HD vintage

Model 3: PA class + age, sex, HD vintage, diabetes mellitus, hemoglobin, C-reactive protein

PA Phase angle, HD Hemodialysis