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Table 3 Logistic regression models for survival at 18 months

From: A self-report comorbidity questionnaire for haemodialysis patients

MODEL 1: Nagelkerke R2 = 0.202

B

S.E.

Wald

p-value

Exp(B)

Age (Years)

.030

.013

5.540

.019

1.031

Sex (Male v Female)

.440

.344

1.635

.201

1.553

Ethnicity (Non-white v White)

-.222

.381

.340

.560

.801

CSCS

.392

.081

23.386

.000

1.480

Constant

−4.616

.962

23.026

.000

.010

MODEL 2: Nagelkerke R 2= 0.211

     

Age (Years)

-.015

.016

.894

.344

.985

Sex (Male v Female)

.211

.348

.367

.545

1.235

Ethnicity (Non-white v White)

-.213

.376

.322

.570

.808

CCI

.521

.105

24.445

.000

1.683

Constant

−3.641

.909

16.035

.000

.026

MODEL 3: Nagelkerke R 2= 0.250

     

Age (Years)

-.002

.016

.021

.886

.998

Sex (Male v Female)

.298

.355

.702

.402

1.347

Ethnicity (Non-white v White)

-.315

.387

.663

.416

.730

CCI

.365

.117

9.715

.002

1.440

CSCS

.262

.092

8.180

.004

1.300

Constant

−4.251

.972

19.125

.000

.014

  1. Model 1 includes the Composite Self-report Comorbidity Score (CSCS). Model 2 includes the Charlson Comorbidity Index (CCI). Model 3 includes both parameters.