Prediction of cesarean section risk in women with gestational hypertension or mild preeclampsia at term

Karin Van Der Tuuk*, Maria G. Van Pampus, Corine M. Koopmans, Jan G. Aarnoudse, Paul P. Van Den Berg, Johannes J. Van Beek, Frans J.A. Copraij, Gunilla Kleiverda, Martina Porath, Robbert J.P. Rijnders, Paulien C.M. Van Der Salm, Leonard P. Morssink, Rob H. Stigter, Ben W.J. Mol, Henk Groen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)


Objective In a recent randomized controlled trial we found that induction of labor in women with gestational hypertension (GH) or mild (preeclampsia) PE at term prevented high risk situations without increasing the cesarean section (CS) rate. We aimed to assess the predictability of the risk of CS. Study design We used multivariable logistic regression analysis to identify predictive factors. Two models were created, one including antepartum and one including antepartum and intrapartum variables. The predictive capacity was assessed with ROC analysis and calibration. Results 126 (17%) of the 756 women delivered by CS. In multivariable analysis parity (OR 5.4), ethnicity (OR 2.4), previous miscarriage (OR 1.7), creatinine (OR 1.02), proteinuria (OR 2.4), cervical length (OR 1.02), engagement (OR 0.5) and dilatation (OR 0.7) were independent antepartum predictors. Intrapartum variables were parity (OR 3.6), ethnicity (OR 1.9), previous miscarriage (OR 1.5), gestational age at delivery (OR 1.2), antibiotic use (OR 8.0), disease progression (OR 2.4), uric acid (OR 1.4), proteinuria (OR 3.50) and dilatation (OR 0.76). Both models showed good discrimination (AUC 0.74 and 0.80) but calibration was moderate (Hosmer-Lemeshow P-value 0.42 and 0.70). Conclusion In women with GH or mild PE at term, the risk of CS can be predicted.

Original languageEnglish
Pages (from-to)23-27
Number of pages5
JournalEuropean Journal of Obstetrics and Gynecology and Reproductive Biology
Publication statusPublished - Aug 2015


  • Cesarean section rate
  • Hypertension
  • Pre-eclampsia
  • Prediction models
  • Pregnancy


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