产后子痫前期再入院的预测因素。

IF 1.5 4区医学 Q3 OBSTETRICS & GYNECOLOGY

Hypertension in Pregnancy Pub Date : 2021-08-01 Epub Date: 2021-09-11 DOI:10.1080/10641955.2021.1975737

Rodney A McLaren, Melissa Magenta, Laura Gilroy, Maria Gabriela Duarte, Sujatha Narayanamoorthy, Jeremy Weedon, Howard Minkoff

{"title":"产后子痫前期再入院的预测因素。","authors":"Rodney A McLaren, Melissa Magenta, Laura Gilroy, Maria Gabriela Duarte, Sujatha Narayanamoorthy, Jeremy Weedon, Howard Minkoff","doi":"10.1080/10641955.2021.1975737","DOIUrl":null,"url":null,"abstract":"Objective: To develop a predictive model for re-admission for postpartum preeclampsia (PPEC).Methods: A case-control study; cases were patients re-admitted for PPEC; controls were not re-admitted. Mixed linear modelling was used to develop a predictive model on the training set, then validated on the validation set.Results: Two-hundred-sixty-nine patients were readmitted, and matched to 538 controls. A risk calculator was developed and yielded a sensitivity and specificity for readmission of 80.9% and 53.5%, respectively.Conclusion: A predictive model using age, race, discharge blood pressures, and preeclampsia was able to predict re-admission for PPEC with a high level of sensitivity.","PeriodicalId":13054,"journal":{"name":"Hypertension in Pregnancy","volume":"40 3","pages":"254-260"},"PeriodicalIF":1.5000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Predictors of readmission for postpartum preeclampsia.\",\"authors\":\"Rodney A McLaren, Melissa Magenta, Laura Gilroy, Maria Gabriela Duarte, Sujatha Narayanamoorthy, Jeremy Weedon, Howard Minkoff\",\"doi\":\"10.1080/10641955.2021.1975737\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective: To develop a predictive model for re-admission for postpartum preeclampsia (PPEC).Methods: A case-control study; cases were patients re-admitted for PPEC; controls were not re-admitted. Mixed linear modelling was used to develop a predictive model on the training set, then validated on the validation set.Results: Two-hundred-sixty-nine patients were readmitted, and matched to 538 controls. A risk calculator was developed and yielded a sensitivity and specificity for readmission of 80.9% and 53.5%, respectively.Conclusion: A predictive model using age, race, discharge blood pressures, and preeclampsia was able to predict re-admission for PPEC with a high level of sensitivity.\",\"PeriodicalId\":13054,\"journal\":{\"name\":\"Hypertension in Pregnancy\",\"volume\":\"40 3\",\"pages\":\"254-260\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hypertension in Pregnancy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/10641955.2021.1975737\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2021/9/11 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hypertension in Pregnancy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/10641955.2021.1975737","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/9/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}

引用次数: 4

摘要

目的:建立产后子痫前期再入院的预测模型。方法:病例-对照研究;病例为因PPEC再次入院的患者;控制未被重新接受。采用混合线性建模方法在训练集上建立预测模型，并在验证集上进行验证。结果:269名患者再次入院，并与538名对照组相匹配。开发了风险计算器，再入院的敏感性和特异性分别为80.9%和53.5%。结论:使用年龄、种族、出院血压和先兆子痫的预测模型能够高度敏感地预测PPEC的再次入院。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Predictors of readmission for postpartum preeclampsia.

Objective: To develop a predictive model for re-admission for postpartum preeclampsia (PPEC).Methods: A case-control study; cases were patients re-admitted for PPEC; controls were not re-admitted. Mixed linear modelling was used to develop a predictive model on the training set, then validated on the validation set.Results: Two-hundred-sixty-nine patients were readmitted, and matched to 538 controls. A risk calculator was developed and yielded a sensitivity and specificity for readmission of 80.9% and 53.5%, respectively.Conclusion: A predictive model using age, race, discharge blood pressures, and preeclampsia was able to predict re-admission for PPEC with a high level of sensitivity.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Hypertension in Pregnancy 医学-妇产科学

CiteScore

3.40

自引率

0.00%

发文量

审稿时长

6 months

期刊介绍： Hypertension in Pregnancy is a refereed journal in the English language which publishes data pertaining to human and animal hypertension during gestation. Contributions concerning physiology of circulatory control, pathophysiology, methodology, therapy or any other material relevant to the relationship between elevated blood pressure and pregnancy are acceptable. Published material includes original articles, clinical trials, solicited and unsolicited reviews, editorials, letters, and other material deemed pertinent by the editors.