Table 2.
Multivariable linear regression analyses with body mass index (BMI)
| Dependent variable: BMI | ||
|---|---|---|
| Variables |
Standardized coefficient β (SE) |
P |
| Adiponectin |
−0.39 (0.07) |
<0.001 |
| NT-proBNP |
−0.32 (0.07) |
<0.001 |
| MR-proANP |
−0.11 (0.08) |
0.16 |
| MR-proADM |
0.05 (0.08) |
0.57 |
| Copeptin |
−0.12 (0.07) |
0.13 |
| α-defensins |
−0.06 (0.07) |
0.46 |
| hsCRP | 0.01 (0.09) | 0.89 |
All the respective biomarker-models are adjusted for age, sex, LVEF, NYHA, eGFR, andT2D.
Abbreviations: eGFR: estimated glomerular filtration rate; LVEF: left ventricular ejection fraction; MR-proADM: mid-regional pro-adrenomedullin; MR-proANP: mid-regional pro-A-type natriuretic peptide; NT-proBNP: N-terminal pro-B-type natriuretic peptide; NYHA: New York Heart Association functional classification; T2D: type 2 diabetes.