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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 μmol/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.