Development and validation of prediction models for risk of adverse outcomes in women with early-onset pre-eclampsia: protocol of the prospective cohort PREP study. Issue 1 (December 2017)

• Record Type: Journal Article
• Authors: Allotey, John; Marlin, Nadine; Mol, Ben; Von Dadelszen, Peter; Ganzevoort, Wessel; Akkermans, Joost; Ahmed, Asif; Daniels, Jane; Deeks, Jon; Ismail, Khaled; Barnard, Ann; Dodds, Julie; Kerry, Sally; Moons, Carl; Khan, Khalid; Riley, Richard; Thangaratinam, Shakila
• Is Part Of: Diagnostic and prognostic research. Volume 1:Issue 1(2017)
• Page Start: 1
• Page End: 8
• Publication Date: 2017-12
• Subjects: Early-onset pre-eclampsia -- Prognosis -- Prediction model -- Complication risk -- Maternal -- Fetal; Diagnosis -- Periodicals; Prognosis -- Periodicals; Function tests (Medicine) -- Periodicals; Evidence-based medicine -- Periodicals; 616.07505
• DOI: 10.1186/s41512-016-0004-8
• Languages: English
• ISSNs: 2397-7523

Abstract

Abstract Background Early-onset pre-eclampsia with raised blood pressure and protein in the urine before 34 weeks' gestation is one of the leading causes of maternal deaths in the UK. The benefits to the child from prolonging the pregnancy need to be balanced against the risk of maternal deterioration. Accurate prediction models of risks are needed to plan management. Methods We aim to undertake a multicentre prospective cohort study (Prediction of Risks in Early onset Pre-eclampsia (PREP)) to develop clinical prediction models in women with early-onset pre-eclampsia, for risk of adverse maternal outcomes by 48 h and by discharge. We will externally validate the models in two independent cohorts with 634 and 216 women. In the secondary analyses, we will assess risk of adverse fetal and neonatal outcomes at birth and by discharge. Discussion The PREP study will quantify the risk of maternal complications at various time points and provide individualised estimates of overall risk in women with early-onset pre-eclampsia to plan the management. Trial registration ISRCTN registry, ISRCTN40384046