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Table 1 Clinical characteristics and risk factors for preeclampsia included in clinical prediction model in our data set and those from a previously published cohort study of preeclampsia risk

From: Predictor characteristics necessary for building a clinically useful risk prediction model: a simulation study

Predictors in our data set
  Prevalence n (%) Crude odds ratio (95 % CI)
Maternal age a
 <20 1,624 (2.2) 1.0 (0.8, 1.2)
 20–29 32,140 (42.7) REF
 30–40 38,444 (51.1) 1.0 (0.9, 1.0)
 ≥40 3,017 (4.0) 1.4 (1.3, 1.6)
Prepregnancy body mass index a
 25–29 46,979 (62.5) REF
 30–34 17,692 (23.5) 1.6 (1.5, 1.7)
 35–39 6,968 (9.3) 2.1 (1.9, 2.3)
 ≥40 3,586 (4.8) 1.8 (2.5, 3.1)
Maternal height <60 in. 4,280 (5.7) 0.9 (0.8, 1.0)
Nulliparity 32,571 (43.3) 2.5 (2.4, 2.6)
Pre-existing diabetes 769 (1.0) 2.9 (2.4, 3.5)
Smoking 8,411 (11.2) 0.9 (0.8, 1.0)
History of stillbirth 713 (0.9) 0.8 (0.6, 1.1)
History neonatal death 281 (0.4) 1.0 (0.6, 1.5)
History of spontaneous abortion 18,046 (24.0) 1.0 (0.9, 1.0)
  1. aPrepregnancy body mass index and maternal age at birth were modeled using restricted cubic splines