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. 2015 Jun 3;84(2):75–85. doi: 10.5414/CN108453

Table 4. Multivariate logistic regression analysis.

Multivariate logistic regression analysis of the primary outcome after adjusting for all the identified potential confounders found in subset analysis Multivariate logistic regression analysis of the secondary outcome (all-cause mortality) after adjusting for all the identified potential confounders in subset analysis
Analysis of effects Odds ratio estimates Analysis of effects Odds ratio estimates
Effect DF Wald χ2 Pr > χ2 Point estimate 95% Wald Confidence Limits Effect DF Wald χ2 Pr > χ2 Point estimate 95% Wald confidence limits
CCI 1 1.1230 0.2893 1.313 0.793 1.953 Age 1 9.9050 0.0016* 2.883 1.491 5.574
DM 1 0.5735 0.4489 1.178 0.771 1.585 CCI 1 0.4077 0.5231 1.161 0.734 1.839
CKD 1 6.3817 0.0115* 1.934 1.159 2.709 Race 1 3.9243 0.0476* 2.086 1.008 4.316
CAD 1 1.5093 0.2192 1.356 0.834 1.878 CKD 1 2.6618 0.1028 1.504 0.921 2.454
CHF 1 6.8798 0.0087* 1.891 1.175 2.607 Known dementia 1 3.3409 0.0676 1.434 0.974 2.111
CVA 1 1.3361 0.2477 1.290 0.838 1.742 Osteoporosis 1 7.1156 0.0076* 0.425 0.226 0.797
Frail 1 18.0019 < 0.0001* 2.327 1.575 3.424
Persistent hyponatremia 1 5.4986 0.0190* 3.524 1.230 5.818
ESRD 1 0.3617 0.5475 1.944 0.223 3.665

*p < 0.05, significant. CCI = Charlson comorbidity index; DM = diabetes mellitus; DF = degrees of freedom; CHF = congestive heart failure; CKD = chronic kidney disease; CAD = coronary artery disease; CVA = cerebrovascular disease; ESRD = end-stage renal disease.