Table 4.
PS-adjusted model | All-cause mortality | |
---|---|---|
HR (95% CI) | P-value | |
Unadjusted model (n = 2926) | 0.38 (0.32–0.46) | <0.001 |
Multivariable-adjusted model (n = 2926) | 0.75 (0.60–0.93) | 0.009 |
PS-adjusted model | ||
PS-matched model (1:1, n = 928) | 0.74 (0.57–0.96) | 0.022 |
PS-stratification (n = 2926) | 0.74 (0.58–0.96) | 0.021 |
PS-adjusted regression model (n = 2926) | 0.74 (0.59–0.92) | 0.006 |
IPTW model (n = 2926) | 0.69 (0.53–0.91) | 0.007 |
The HR was estimated using Cox proportional hazard model. In the multivariable model, age, sex, presence of diabetes mellitus and comorbidity, dialysis history, dialysis time per session, Kt/V for urea, normalized protein catabolic rate, body mass index, cardiothoracic ratio, systolic blood pressure, blood hemoglobin level, serum levels of urea nitrogen, creatinine, albumin, total cholesterol, C-reactive protein, corrected calcium, phosphate, alkaline phosphatase, and parathyroid hormone, and use of erythrocyte stimulating agents, anti-hypertensives, and vitamin D receptor activators were included. PS was created by logistic regression analysis using all the parameters listed here. A two-tailed P-value less than 0.05 was considered statistically significant. Abbreviations: CI, confidence interval; HR, hazard ratio; IPTW, inverse probability of treatment weighting; PS, propensity score.