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Table 3 Correlation models for all-cause and cardiovascular mortality based on forward stepwise Cox proportional hazard regression

From: Higher reticulocyte counts are associated with higher mortality rates in hemodialysis patients: a retrospective single-center cohort study

Variables

HR

95% CI

χ2

p

All-cause mortality

 Age (per 1 year)

1.08

1.06 to 1.11

40.00

<0.001

 Reticulocyte count (per 104cells/μL)

1.36

1.22 to 1.51

29.85

<0.001

 Diabetic nephropathy yes vs no

3.19

1.98 to 5.13

22.65

<0.001

 C-reactive protein (per 1 mg/dL)

1.28

1.14 to 1.44

16.21

<0.001

 Phosphorus inorganic (per 1 mg/dL)

1.24

1.03 to 1.46

5.18

0.02

 Vascular disease yes vs no

1.77

1.06 to 2.95

4.84

0.03

Cardiovascular mortality

 Reticulocyte count (per 104 cells/μL)

1.40

1.23 to 1.60

25.38

<0.001

 Diabetic nephropathy yes vs no

4.62

2.51 to 8.50

24.20

<0.001

 C-reactive protein (per 1 mg/dL)

1.38

1.21 to 1.58

22.87

<0.001

 Age (per 1 year)

1.08

1.04 to 1.10

21.15

<0.001

 Diastolic blood presure (per 1 mmHg)

0.97

0.95 to 0.99

6.56

0.01

  1. Stepwise, multivariate Cox proportional regression models were developed using candidate variables to predict all-cause and cardiovascular mortality. Candidate variables are age, sex, diabetic nephropathy, duration of dialysis, interdialysis weight gain, vascular disease history, use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, systolic blood pressure, diastolic blood pressure, weekly dose of recombinant human erythropoietin, hemoglobin, white blood cell, platelet count, transferrin saturation, ferritin, phosphorus inorganic, creatinine, albumin, C-reactive protein, and reticulocyte count. Inclusion criterion is p < 0.05
  2. Note: HR hazard ratio, CI confidence interval
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Renal Replacement Therapy

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