Table 4.
Different clinical and laboratory variables and their relationship with the development of PH in logistic regression models. While both sFlt1 and PlGF are statistically associated with the development of PH, the addition of either sFlt1 or PLGF does not appreciably increase the area under the curve (AUC) for predicting PH. Upon incorporating the number of biomarkers that were elevated at baseline, the AUC increased from 0.72 (clinical variables only) to 0.81.
| Variable at Cohort Entry | OR (95% CI) | p-value | AUC |
|---|---|---|---|
| Univariable Analysis | |||
| DLCO | 0.96 (0.95–0.97) | <0.0001 | 0.72 |
| FVC | 0.96 (0.95–0.97) | <0.0001 | 0.68 |
| BNP Level | 1.1 (1.0–1.2) | 0.041 | 0.57 |
| sFlt1 | 2.5 (1.6–3.7) | <0.0001 | 0.61 |
| PLGF | 3.23 (2.2–4.7) | <0.0001 | 0.65 |
| Multivariable | |||
| DLCO, FVC, BNP | N/A | N/A | 0.72 |
| DLCO, FVC, BNP + sFlt1 | 1.8 (1.2–2.9) | 0.009 | 0.72 |
| DLCO, FVC, BNP + PLGF | 2.7 (1.8–4.0) | <0.0001 | 0.75 |
| DLCO, FVC, BNP + sFlt1 + PLGF | N/A | N/A | 0.77 |
| DLCO, FVC, BNP + # Elevated Biomarkers | 1.8 (1.4–2.4) | <0.0001 | 0.81 |