A risk scoring model for predicting adverse maternal outcomes in pregnancy with pre-eclampsia.

IF 2.6 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Manaphat Suksai, Alan Geater, Pawinee Amornchat, Chitkasaem Suwanrath
{"title":"A risk scoring model for predicting adverse maternal outcomes in pregnancy with pre-eclampsia.","authors":"Manaphat Suksai, Alan Geater, Pawinee Amornchat, Chitkasaem Suwanrath","doi":"10.1002/ijgo.70044","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Pre-eclampsia can lead to mortality and morbidity. The aim of this study was to establish a multivariate model to predict the adverse maternal events associated with pre-eclampsia in the Thai population and to provide the composite measure of adverse perinatal events.</p><p><strong>Methods: </strong>A retrospective study was conducted at the Songklanagarind Hospital between January 2011 and December 2020. Multivariable logistic regression analysis was used to identify clinical risk factors for adverse maternal outcomes in pregnancies complicated with pre-eclampsia and to establish a predictive model. A nomogram was generated to determine the probability of adverse event in pre-eclampsia patient.</p><p><strong>Results: </strong>Of the 1094 cases of pre-eclampsia identified, 202 (18.46%) developed adverse outcomes. The majority of adverse consequences were cardiorespiratory complications (110 cases, 54.46%), intensive care unit admissions (66 cases, 32.67%), and hematologic disorders (50 cases, 24.75%). Maternal death occurred in four cases (0.37%). Significant risk factors included a history of drug abuse, dyspnea, visual disturbance, systolic blood pressure ≥180 mmHg, hemoglobin <10 g/dL, platelet count <150 000/μL, total bilirubin >0.8 mg/dL, aspartate aminotransferase >35 IU/L, lactate dehydrogenase >500 IU/L, INR >1, creatinine >1 mg/dL, urine protein/creatinine ratio >1 mg/mg, and uric acid >7.5 mg/dL. The regression model for prediction of adverse maternal outcomes in pre-eclampsia achieved a receiver operating characteristic area of 0.86 (95% confidence interval: 0.83-0.89). Pre-eclampsia patients with a total score of ≥3 had an increased risk of developing adverse maternal outcomes (sensitivity: 80%, specificity: 78%).</p><p><strong>Conclusion: </strong>A new simplified scoring model and nomogram based on clinical characteristics and laboratory tests were developed to facilitate risk stratification of adverse maternal outcomes associated with pre-eclampsia in routine clinical practice.</p>","PeriodicalId":14164,"journal":{"name":"International Journal of Gynecology & Obstetrics","volume":" ","pages":""},"PeriodicalIF":2.6000,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Gynecology & Obstetrics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ijgo.70044","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Objective: Pre-eclampsia can lead to mortality and morbidity. The aim of this study was to establish a multivariate model to predict the adverse maternal events associated with pre-eclampsia in the Thai population and to provide the composite measure of adverse perinatal events.

Methods: A retrospective study was conducted at the Songklanagarind Hospital between January 2011 and December 2020. Multivariable logistic regression analysis was used to identify clinical risk factors for adverse maternal outcomes in pregnancies complicated with pre-eclampsia and to establish a predictive model. A nomogram was generated to determine the probability of adverse event in pre-eclampsia patient.

Results: Of the 1094 cases of pre-eclampsia identified, 202 (18.46%) developed adverse outcomes. The majority of adverse consequences were cardiorespiratory complications (110 cases, 54.46%), intensive care unit admissions (66 cases, 32.67%), and hematologic disorders (50 cases, 24.75%). Maternal death occurred in four cases (0.37%). Significant risk factors included a history of drug abuse, dyspnea, visual disturbance, systolic blood pressure ≥180 mmHg, hemoglobin <10 g/dL, platelet count <150 000/μL, total bilirubin >0.8 mg/dL, aspartate aminotransferase >35 IU/L, lactate dehydrogenase >500 IU/L, INR >1, creatinine >1 mg/dL, urine protein/creatinine ratio >1 mg/mg, and uric acid >7.5 mg/dL. The regression model for prediction of adverse maternal outcomes in pre-eclampsia achieved a receiver operating characteristic area of 0.86 (95% confidence interval: 0.83-0.89). Pre-eclampsia patients with a total score of ≥3 had an increased risk of developing adverse maternal outcomes (sensitivity: 80%, specificity: 78%).

Conclusion: A new simplified scoring model and nomogram based on clinical characteristics and laboratory tests were developed to facilitate risk stratification of adverse maternal outcomes associated with pre-eclampsia in routine clinical practice.

预测先兆子痫孕妇不良结局的风险评分模型。
目的:先兆子痫可导致死亡率和发病率。本研究的目的是建立一个多变量模型来预测泰国人群中与先兆子痫相关的孕产妇不良事件,并提供围产期不良事件的综合测量。方法:回顾性研究于2011年1月至2020年12月在Songklanagarind医院进行。采用多变量logistic回归分析确定妊娠合并子痫前期产妇不良结局的临床危险因素,并建立预测模型。生成图以确定子痫前期患者不良事件发生的概率。结果:1094例先兆子痫患者中,202例(18.46%)出现不良结局。不良反应主要为心肺并发症(110例,54.46%)、重症监护病房入院(66例,32.67%)和血液系统疾病(50例,24.75%)。产妇死亡4例(0.37%)。有药物滥用史、呼吸困难、视力障碍、收缩压≥180 mmHg、血红蛋白0.8 mg/dL、天冬氨酸转氨酶>35 IU/L、乳酸脱氢酶>500 IU/L、INR >1、肌酐>1 mg/dL、尿蛋白/肌酐比值>1 mg/mg、尿酸>7.5 mg/dL。预测子痫前期产妇不良结局的回归模型的受试者工作特征区为0.86(95%可信区间:0.83-0.89)。总评分≥3分的先兆子痫患者发生不良产妇结局的风险增加(敏感性:80%,特异性:78%)。结论:基于临床特征和实验室检查,建立了一种新的简化评分模型和nomogram,以便在常规临床实践中对与子痫前期相关的孕产妇不良结局进行风险分层。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
5.80
自引率
2.60%
发文量
493
审稿时长
3-6 weeks
期刊介绍: The International Journal of Gynecology & Obstetrics publishes articles on all aspects of basic and clinical research in the fields of obstetrics and gynecology and related subjects, with emphasis on matters of worldwide interest.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信