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Table 4 Multivariate Cox models of CV death and MACE in MHD patients

From: Lipoprotein-associated phospholipase A2 predicts cardiovascular death in patients on maintenance hemodialysis: a 7-year prospective cohort study

Model

Cardiovascular death

MACE

HR (95% CI)

P

HR (95% CI)

P

Lp-PLA2 (as a dichotomous variable)

 Unadjusted

2.12(1.32–3.42)

0.002

1.81(1.17–2.80)

0.007

 Model 1

2.19(1.35–3.54)

0.001

2.00(1.29–3.10)

0.002

 Model 2

2.36(1.46–3.84)

0.001

2.14(1.37–3.34)

0.001

 Model 3

2.38(1.46–3.90)

0.001

2.11(1.34–3.30)

0.001

 Model 4

3.03(1.74–5.28)

 < 0.001

2.34(1.42–3.87)

0.001

 Model 5

3.11(1.79–5.41)

 < 0.001

2.37(1.44–3.92)

0.001

 Model 6

3.16(1.82–5.52)

 < 0.001

2.44(1.47–4.05)

0.001

 Model 7a

2.57(1.58–4.18)

 < 0.001

2.17(1.39–3.40)

0.001

 Model 7b

2.48(1.53–4.03)

 < 0.001

2.12(1.36–3.31)

0.001

Lp-PLA2(per 100U/L) (as a continuous variable)

 Unadjusted

1.18(1.05–1.32)

0.004

1.01(1.00–1.02)

0.018

 Model 1

1.19(1.06–1.34)

0.003

1.17(1.04–1.31)

0.008

 Model 2

1.22(1.08–1.38)

0.001

1.19(1.06–1.34)

0.004

 Model 3

1.23(1.08–1.39)

0.002

1.19(1.05–1.38)

0.005

 Model 4

1.42(1.18–1.70)

 < 0.001

1.26(1.07–1.48)

0.002

 Model 5

1.45(1.20–1.74)

 < 0.001

1.28(1.08–1.50)

0.003

 Model 6

1.47(1.21–1.78)

 < 0.001

1.29(1.09–1.53)

0.003

 Model 7a

1.25(1.10–1.41)

0.001

1.20(1.07–1.36)

0.002

 Model 7b

1.24(1.10–1.40)

0.001

1.20(1.07–1.35)

0.002

  1. Covariates adjusted for CV death: age, dialysis vintage, vascular access, BMI, history of diabetes, coronary artery disease, albumin, hs-CRP, creatine, uric acid, hs-cTNT, NT-proBNP. Covariates adjusted for MACE: age, dialysis vintage, vascular access, history of diabetes, coronary artery disease, history of taking ACEI, albumin, prealbumin, hs-CRP, creatine, uric acid, hs-cTNT, NT-proBNP
  2. Adjusted variables for each model
  3. a: using “enter” approach
  4. b: using “backward stepwise” approach
  5. Model 1: age, dialysis vintage, sex, BMI, vascular access
  6. Model 2: history of hypertension, diabetes, coronary artery disease and cerebrovascular event
  7. Model 3: hemoglobin, creatine, uric acid, albumin
  8. Model 4: HDL-c, LDL-c, triglyceride, apoB, apoA
  9. Model 5: hs-cTnT, NT-proBNP, hs-CRP
  10. Model 6: use of ACEI, ARB, statin, asprin, CCB, beta blocker
  11. Model 7: hierarchically selected covariates (P < 0.1 in the univariate Cox model)