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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Early Hum Dev. 2014 Jan 27;90(4):195–200. doi: 10.1016/j.earlhumdev.2014.01.003

Table 3.

Biomarker levels across PGF status and logistic regression models for the association of cord blood VEGF and sFlt-1 on the development of PGF.

Biomarker pg/ml median (IQR) OR (95% CI)
Non-PGF PGF Model 1 Model 2 Model 3
VEGF 89.7 (37.8, 221.9) 49.0 (32.3, 104.3) 0.7 (0.5, 0.9)* 0.6 (0.4, 0.9)* 0.6 (0.4, 0.9)*
sFlt-1 451.3 (269.1, 862.0) 798.7 (327.5, 1384.1) 1.6 (1.1, 2.4)* 1.3 (0.8, 2.1) 1.4 (0.8, 2.2)
Stratified by placental vascular pathology (none versus any)**
VEGF
 No vascular pathology 64.9 (34.9, 349.3) 58.6 (29.3, 214.0) 0.8 (0.5, 1.4)
Any vascular pathology 95.4 (58.0, 175.8) 48.5 ** (35.8, 87.1) 0.5 (0.3, 1.1)
sFlt-1
 No vascular pathology 398.6 (205.2, 738.8) 515.0 (296.0, 809.9) 1.3 (0.6, 2.8)
Any vascular pathology 615.0 (330.9, 1121) 1028 (417.9, 1829.3) 1.5 (0.8, 2.7)
*

P<0.05. Odds ratios (OR) and 95% confidence intervals (CI) calculated using logistic regression. Model 1: adjusted for maternal race, infant gender, multiple gestation, and gestational age at birth. Model 2: further adjusted for maternal preeclampsia and small-for-gestational age birth weight (<10th percentile). Model 3: further adjusted for bronchopulmonary dysplasia, necrotizing enterocolitis, intraventricular hemorrhage, and retinopathy of prematurity.

**

Stratified models adjusted according to Model 1, and include patients with complete placental histopathology data (N=98). P<0.05 for PGF vs. Non-PGF among infants with placental vascular pathology.