Table 4.
Age | eGFR | NT-proBNP | LVESD | LVEF | LGE | |
---|---|---|---|---|---|---|
WP |
p = 0.015 HR 1.07 (95% CI 1.01–1.12) |
– | – | – | – | – |
– |
p = 0.025 HR 5.37 (95% CI 1.24–23.30) |
– | – | – | – | |
– | – |
p = 0.012 HR 6.44 (95% CI 1.52–27.37) |
– | – | – | |
– | – | – |
p = 0.024 HR 6.02 (95% CI 1.27–28.65) |
– | – | |
– | – | – | – |
p = 0.044 HR 5.42 (95% CI 1.04–28.18) |
– | |
– | – | – | – | – |
p = 0.011 HR 13.47 (95% CI 1.81–100.08) |
p values, hazard ratio (HR) and the corresponding 95% confidence interval (CI) values for the WP as independent predictor of the composite endpoint are reported. The models for bivariate Cox regression analysis include alternatively age, estimated glomerular filtration rate (eGFR), N-terminal pro-B-type natriuretic peptide (NT-proBNP), left ventricular end-systolic diameter (LVESD), LV ejection fraction (LVEF), and late gadolinium enhancement (LGE)
eGFR estimated glomerular filtration rate; HR hazard ratio; LGE late gadolinium enhancement; LVEF left ventricular ejection fraction; LVESD left ventricular end-systolic diameter; NT-proBNP N-terminal pro-B-type natriuretic peptide