Impact of risk factors on functional status in maintenance hemodialysis patients

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

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

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