Literature DB >> 15547540

A prediction model for superimposed preeclampsia in women with chronic hypertension during pregnancy.

Phyllis August1, Geraldine Helseth, E Francis Cook, Cristina Sison.   

Abstract

OBJECTIVE: Women with chronic hypertension are at increased risk for superimposed preeclampsia. We developed a prediction algorithm for superimposed preeclampsia using clinical and laboratory information that were measured early in pregnancy. STUDY
DESIGN: A secondary analysis of data that were collected from 110 women with chronic hypertension who were enrolled in a trial of calcium supplementation was performed. Blood pressure, the renin-angiotensin system, and calcium metabolism were assessed at 12, 20, 28, and 36 weeks of gestation and 6 weeks after delivery. Multivariable logistic regression was used to develop the predictive model.
RESULTS: Thirty-seven women had superimposed preeclampsia. The final model included systolic blood pressure, serum uric acid, and plasma renin activity, which were all measured at 20 weeks of gestation. Women with high systolic blood pressure (>140 mm Hg), elevated uric acid (>3.6 mg/dL), and low plasma renin activity (<4 ng/mL/hr) had an 86% probability of having superimposed preeclampsia. Women with 2 risk factors had a 62% probability of superimposed preeclampsia, and women with only 1 risk factor had a 30% to 40% probability of superimposed preeclampsia.
CONCLUSION: We developed a prediction algorithm that can be validated in future studies for superimposed preeclampsia for women with chronic hypertension.

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Year:  2004        PMID: 15547540     DOI: 10.1016/j.ajog.2004.03.029

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  7 in total

Review 1.  Hypertension in pregnancy.

Authors:  Maryann Mugo; Gurushankar Govindarajan; L Romayne Kurukulasuriya; James R Sowers; Samy I McFarlane
Journal:  Curr Hypertens Rep       Date:  2005-10       Impact factor: 5.369

2.  Estimation of Serum Uric Acid as an Indicator of Severity of Preeclampsia and Perinatal Outcome.

Authors:  Aparna Nair; C Savitha
Journal:  J Obstet Gynaecol India       Date:  2016-09-09

3.  The role of angiogenic factors in the prediction and diagnosis of preeclampsia superimposed on chronic hypertension.

Authors:  Vesna D Garovic
Journal:  Hypertension       Date:  2012-02-06       Impact factor: 10.190

4.  Renin-Angiotensin-Aldosterone Profiles in Pregnant Women With Chronic Hypertension.

Authors:  Line Malha; Cristina P Sison; Geraldine Helseth; Jean E Sealey; Phyllis August
Journal:  Hypertension       Date:  2018-06-25       Impact factor: 10.190

Review 5.  The role of RAS in the pathogenesis of preeclampsia.

Authors:  Dinesh M Shah
Journal:  Curr Hypertens Rep       Date:  2006-05       Impact factor: 5.369

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

Authors:  Laura Schummers; Katherine P Himes; Lisa M Bodnar; Jennifer A Hutcheon
Journal:  BMC Med Res Methodol       Date:  2016-09-21       Impact factor: 4.615

Review 7.  Chronic hypertension and pregnancy outcomes: systematic review and meta-analysis.

Authors:  Kate Bramham; Bethany Parnell; Catherine Nelson-Piercy; Paul T Seed; Lucilla Poston; Lucy C Chappell
Journal:  BMJ       Date:  2014-04-15
  7 in total

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