Table 3.

Multivariate regression models to estimate the predictors of baseline high diuretic dose.

	Multivariate regression analysis
	Model 1		Model 2		Model 3
	OR (95% CI)	P	OR (95% CI)	p	OR (95% CI)	p
Diabetes	1.11 (0.98–1.27)	0.116	1.11 (0.98–1.27)	0.111	1.11 (0.98–1.27)	0.113
NYHA	1.14 (0.99–1.31)	0.055	1.13 (0.99–1.29)	0.077	1.13 (0.99–1.30)	0.073
GFR-EPI	1.08 (0.93–1.27)	0.311	1.07 (0.91–1.26)	0.394	1.08 (0.93–1.27)	0.319
NT-proBNPa	1.12 (0.97–1.30)	0.139	1.09 (0.94–1.28)	0.240	1.15 (0.991–1.33)	0.067
LVEF	0.84 (0.73–0.96)	0.013	0.85 (0.74–0.97)	0.019	0.83 (0.72–0.96)	0.011
TAPSE	0.87 (0.77–0.99)	0.045	0.86 (0.76–0.98)	0.026	0.87 (0.76–0.99)	0.042
PVC > 5	1.20 (1.05–1.38)	0.007	–	–	–	–
RRI	1.22 (1.04–1.44)	0.018	1.206 (1.021–1.425)	0.029	1.21 (1.02–1.42)	0.030
PASP	–	–	1.217 (1.059–1.398)	0.006	–	–
TR	–	–	–	–	1.16 (1.01–1.33)	0.041

^aAfter log-transformation. For abbreviations see Table 1.