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. 2019 Aug 3;24:100407. doi: 10.1016/j.ijcha.2019.100407

Table 3.

Nested cox proportional hazards models to identify independent predictors of all-cause mortality.

MACE Univariate analysis
Multivariate analysis
Model 1
Model 2
Model 3
Model 4
HR (95% CI) p value HR (95% CI) p value HR (95% CI) p value HR (95% CI) p value HR (95% CI) p value
Age 1.05(1.02–1.09) 0.001 1.02(0.99–1.06) 0.202 1.03(0.99–1.07) 0.16 1.02(0.99–1.06) 0.176 1.01(0.98–1.05) 0.425
CKD 6.59(3.13–13.89) <0.001 3.97(1.72–9.13) 0.001 2.95(1.08–8.02) 0.034 3.90(1.69–9.01) 0.001 3.95(1.70–9.14) 0.001
No of vessel diseased 2.08(1.40–3.10) <0.001 1.74(1.15–2.63) 0.009 1.62(1.00–2.61) 0.05 1.65(1.09–2,49) 0.018 1.72(1.13–2.60) 0.011
LVEDVI 1.03(1.01–1.05) 0.009 1.03(1.04–1.07) 0.021
LVEF 0.96(0.92–0.99) 0.03 0.96(0.92–1.02) 0.06
DD 3.97(1.86–8.47) <0.001 2.57(1.16–5.68) 0.02
Model Chi Sq NA 42.3 32.5 45.6 53.55

CKD = chronic kidney disease; LVEDVI = left ventricular end diastolic volume index; LVEF = left ventricular ejection fraction; DD = diastolic dsyfunction.