Predictors of eclampsia in patients with preeclampsia

Author:

Pizzorno José AníbalORCID,Rivero Mabel Itatí,Perna Eduardo Roque,Benítez Juan Manuel Romero

Abstract

Objectives: To evaluate prevalence and predictors of eclampsia in patients with preeclampsia. Material and Methods: database of 11,026 consecutive births attended between Nov-98 and Jun-04, 323 patients admitted with a diagnosis of preeclampsia (blood pressure >=140-90 in 2 doses plus proteinuria) were included in this retrospective analysis. Eclampsia was diagnosed in the presence of associated seizures. Multiple logistic regression analysis was performed to identify independent markers of eclampsia. Results: The diagnosis of eclampsia was established in 32 (10%) patients. Patients with and without eclampsia differed in the following characteristics: primiparous (14.7 vs 6.4%, p=0.014), chronic anemia (14.6 vs 7.2%, p=0.031), adolescence (≤ 16 years) (40 vs 8.4%, p =0.002), smoking (29.2 vs 8.4%, p=0.005), multiple pregnancy (47.1 vs 8%, p<0.0001) and obesity (2.1 vs 11.8%, p=0.026). In the multivariate analysis, the independent predictors were the followings: multiple pregnancy (OR=13.6, 95%CI=4.4-41.8, p<0.0001), smoking (OR=4.9, 95%CI=1.6-15.1, p=0.006) and adolescence (OR =17.9, 95%CI=4.7-67.7, p<0.0001). In patients with none, one or two, and three variables, eclampsia occurred in 0% (0 of 265 cases), 44.7% (24 of 47), and 100% (11 of 11), respectively (p<0.0001). Conclusions: One in 10 patients with preeclampsia developed eclampsia during hospitalization. Three simple and widely available variables (adolescent mothers, smokers, and twin pregnancy) were useful to identify low- and high-risk population.

Publisher

MedCrave Group Kft.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3