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Table 3 Predicting Karnofsky score level at each in-person visit using the logistic regression model without interactions

From: Impact of risk factors on functional status in maintenance hemodialysis patients

Variable Estimate SE P value
Intercept 13.19 2.79 < 0.001
Age 0.08 0.01 < 0.001
Gender (female as Ref.) 0.21 0.14 0.124
DM − 0.05 0.32 0.875
Primary disease subclass (P_A as Ref.) − 0.70 0.31 0.022
Use of vitamin D − 0.27 0.13 0.045
Anti-hypertensive agent − 0.40 0.11 < 0.001
Use of iron − 0.14 0.17 0.417
Parathyroidectomy − 0.02 0.17 0.910
Treatment of year − 0.05 0.01 < 0.001
The number of times per week − 0.57 0.18 0.002
Each dialysis time − 0.56 0.21 0.007
Dialyzer surface area − 0.95 0.22 < 0.001
Hb − 0.93 0.18 < 0.001
Hct 0.33 0.06 < 0.001
WBC − 0.01 0.03 0.837
Albumin − 1.25 0.19 < 0.001
BUN 0.01 4.27E−03 0.026
Creatinine − 0.21 0.03 < 0.001
Ca 0.03 0.07 0.669
P 0.07 0.04 0.125
Na − 0.05 0.02 0.004
K − 0.42 0.08 < 0.001
Glucose 2.48E−03 9.59E−04 0.010
AST − 0.02 0.01 0.013
Alkaline P 2.92E−03 1.65E−03 0.078
Cholesterol 1.76E−03 1.46E−03 0.226
Triglyceride 4.41E−04 6.54E−04 0.500
Uric acid − 0.05 0.04 0.281
Ferritin 4.05E−04 2.07E−04 0.050
Al − 0.05 0.06 0.437
iPTH 2.10E−04 1.97E−04 0.287
Kt/V − 0.70 0.22 0.001
nPCR 0.24 0.24 0.327
Ultrafiltration dehydration amount 0.07 0.04 0.118
Cardiothoracic ratio 1.08 0.80 0.178