Table 4.
Multivariate logistic regression for the risk prediction of HDP
| Variable | OR | Z score | p Value | IC 95% |
|---|---|---|---|---|
| Age (y) | 0.95 | - 0.46 | 0.57 | [0.81–1.11] |
| Prepregnancy BMI (kg/m2) | 1.14 | 0.13 | 0.036 | [1.01–1.30] |
| HbA1c (%) | 0.96 | - 0.03 | 0.88 | [0.61–1.51] |
| Daytime SBP (mmHg) | 1.27 | 0.11 | 0.036 | [1.00–1.26] |
| Nocturnal SBP (mmHg) | 0.92 | - 0.07 | 0.21 | [0.82–1.04] |
| sFlt-1/PIGF ratio | 2.02 | 0.70 | 0.001 | [1.35–3.05] |
Multivariate analysis was performed using binary logistic regression models. The Hosmer–Lemeshow statistic (8.28 for 8 degrees of freedom (df); p = 0.41) indicates an adequate fit to the logistic regression model. OR odd ratio, 95% CI 95% confidence interval, BMI body mass index, HbA1c glycated hemoglobin, SBP systolic blood pressure, DBP diastolic blood pressure, sFlt-1/PlGF ratio soluble fms-like tyrosine kinase-1 / placental growth factor ratio