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Table 2 Logistic Regression Model for Predictors of Mortality

From: Haemodialysis in an emerging centre in a developing country: a two year review and predictors of mortality

VARIABLE UNIVARIATE ANALYSIS
ODDS RATIO (95%CI, P-VALUE)
MULTIVARIATE ANALYSIS
ODDS RATIO (95%CI, P-VALUE)
Age (5 years) 1.08 (0.9-1.29, 0.42) 1.09 (0.73-1.61, 0.69)
Serum Creatinine (5 ╬╝mol/L) 0.99 (0.99-1.01, 0.67) 0.99 (0.99-1.01, 0.80)
Serum Urea (mmol/L) 1.02 (0.97-1.07, 0.48) 1.05 (0.93-1.19, 0.42)
Packed Cell Volume (%) 1.01 (0.95-1.12, 0.92) 0.85 (0.72-1.01, 0.07)
Systolic blood pressure (mmHg) 1.00 (0.98-1.02, 0.67) 0.99 (0.94-1.03, 0.57)
Diastolic blood pressure (mmHg) 1.00 (0.98-1.03, 0.84) 0.97 (0.92-1.03, 0.28)
Not regular 1 1
Regular 0.24 (0.08-0.67, 0.01) 0.07 (0.01-0.56, 0.01)
Chronic glomerulonephritis 1 1
Diabetic nephropathy 1.86 (0.45-7.73, 0.40) 1.29 (0.04-44.58, 0.89)
Hypertensive nephrosclerosis 1.33 (0.47-3.77, 0.59) 1.40 (0.10-19.52, 0.80)
  1. The model was 92% sensitive and 63.6% specific and the Hosmer-Lemeshow test suggested a good fit for the model. The area under the receiver operator characteristic (ROC) curve for the model was 0.87.