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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