Table 3.
Multiple logistic regression analysis of factors used for differentiating between patients with and those without heart failure
| Predictor | OR (95% CI) | P |
|---|---|---|
| Clinical base model | ||
| Agea | 1.026 (1.007–1.046) | 0.007 |
| Dyspnea score | 1.385 (1.095–1.753) | 0.007 |
| Systolic BPa | 1.015 (1.001–1.028) | 0.034 |
| Charlson comorbidity index | 1.180 (1.050–1.324) | 0.005 |
| Previous history of HF | 3.470 (1.565–7.696) | 0.002 |
| Severe valve disease | 4.388 (1.171–16.444) | 0.028 |
| ECW:TBW ratio | 2.634 (1.367–5.075) | 0.004 |
| Model 0b: clinical + NT-proBNP | 2.505 (1.630–3.847) | < 0.001 |
| Model 1b: clinical + NT-proBNP + GDF-15 | 2.730 (1.801–4.139) | < 0.001 |
| Model 2b: clinical + NT-proBNP + cNEP activity | 3.010 (1.965–4.613) | < 0.001 |
| Model 3b: clinical + NT-proBNP + GDF-15 + cNEP activity | 3.822 (2.388–6.117) | < 0.001 |
a The odds ratio for age and systolic BP represents the exponent for each year of age and each mmHg in the logistic equation, respectively
bModels 0–3 denote the clinical base model supplemented with respective information on sex-normalized log-transformed biomarkers
BP blood pressure, cNEP circulating neprilysin, CI confidence interval, ECW extracellular water, GDF-15 growth differentiation factor-15, HF congestive heart failure, NT-proBNP N-terminal pro-B type natriuretic peptide, OR Odds ratio, TBW total body water