ANGPTL4 as independent predictor for indicators of atherosclerosis and cardiac function in patients with chronic obstructive pulmonary disease
| Ankle–brachial index | NT-proBNP | |||||||
|---|---|---|---|---|---|---|---|---|
| Coefficient B (95% CI) | Standardized β | p Value | Total R2 | Coefficient B (95% CI) | Standardized β | p Value | Total R2 | |
| Unadjusted models | ||||||||
| ANGPTL4, ng/mL*100 | −0.060 (−0.103 to −0.016) | −0.31 | 0.008 | 0.096 | 0.755 (0.499 to 1.011) | 0.57 | <0.001 | 0.327 |
| Adjusted models* | ||||||||
| ANGPTL4, ng/mL*100 | −0.056 (−0.104 to −0.008) | −0.29 | 0.023 | 0.319 | 0.672 (0.422 to 0.922) | 0.51 | <0.001 | 0.560 |
Four separate linear regression analyses are shown for the initial study subset of patients with COPD (n=74). NT-proBNP as a dependent variable was log-transformed to obtain a normal distribution.
*Both adjusted regression models, for ABI and for NT-proBNP as the dependent variables, included adjustments for age, sex, body mass index, smoking status, the metabolic syndrome (based on fasting plasma glucose, blood pressure, triglycerides, HDL cholesterol and waist circumference according to the International Diabetes Federation definition), LDL cholesterol, FEV1, and hs-CRP. The model for ABI additionally included an adjustment for physical activity level as a risk factor for atherosclerosis and the model for NT-proBNP additionally included an adjustment for history of CAD as a risk factor for cardiac dysfunction.