预测孕期无症状或轻度 COVID-19 后分娩时的 COVID-19 严重程度。

IF 1.5 4区 医学 Q3 OBSTETRICS & GYNECOLOGY
American journal of perinatology Pub Date : 2024-12-01 Epub Date: 2024-05-10 DOI:10.1055/s-0044-1786868
Grecio J Sandoval, Torri D Metz, William A Grobman, Tracy A Manuck, Brenna L Hughes, George R Saade, Monica Longo, Hyagriv N Simhan, Dwight J Rouse, Hector Mendez-Figueroa, Cynthia Gyamfi-Bannerman, Angela C Ranzini, Maged M Costantine, Harish M Sehdev, Alan T N Tita
{"title":"预测孕期无症状或轻度 COVID-19 后分娩时的 COVID-19 严重程度。","authors":"Grecio J Sandoval, Torri D Metz, William A Grobman, Tracy A Manuck, Brenna L Hughes, George R Saade, Monica Longo, Hyagriv N Simhan, Dwight J Rouse, Hector Mendez-Figueroa, Cynthia Gyamfi-Bannerman, Angela C Ranzini, Maged M Costantine, Harish M Sehdev, Alan T N Tita","doi":"10.1055/s-0044-1786868","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong> This study aimed to develop a prediction model that estimates the probability that a pregnant person who has had asymptomatic or mild coronavirus disease 2019 (COVID-19) prior to delivery admission will progress in severity to moderate, severe, or critical COVID-19.</p><p><strong>Study design: </strong> This was a secondary analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients who delivered from March through December 2020 at hospitals across the United States. Those eligible for this analysis presented for delivery with a current or previous asymptomatic or mild SARS-CoV-2 infection. The primary outcome was moderate, severe, or critical COVID-19 during the delivery admission through 42 days postpartum. The prediction model was developed and internally validated using stratified cross-validation with stepwise backward elimination, incorporating only variables that were known on the day of hospital admission.</p><p><strong>Results: </strong> Of the 2,818 patients included, 26 (0.9%; 95% confidence interval [CI], 0.6-1.3%) developed moderate-severe-critical COVID-19 during the study period. Variables in the prediction model were gestational age at delivery admission (adjusted odds ratio [aOR], 1.15; 95% CI, 1.08-1.22 per 1-week decrease), a hypertensive disorder in a prior pregnancy (aOR 3.05; 95% CI, 1.25-7.46), and systolic blood pressure at admission (aOR, 1.04; 95% CI, 1.02-1.05 per mm Hg increase). This model yielded an area under the receiver operating characteristic curve of 0.82 (95% CI, 0.72-0.91).</p><p><strong>Conclusion: </strong> Among individuals presenting for delivery who had asymptomatic-mild COVID-19, gestational age at delivery admission, a hypertensive disorder in a prior pregnancy, and systolic blood pressure at admission were predictive of delivering with moderate, severe, or critical COVID-19. This prediction model may be a useful tool to optimize resources for SARS-CoV-2-infected pregnant individuals admitted for delivery.</p><p><strong>Key points: </strong>· Three factors were associated with delivery with more severe COVID-19.. · The developed model yielded an area under the receiver operating characteristic curve of 0.82 and model fit was good.. · The model may be useful tool for SARS-CoV-2 infected pregnancies admitted for delivery..</p>","PeriodicalId":7584,"journal":{"name":"American journal of perinatology","volume":" ","pages":"2290-2297"},"PeriodicalIF":1.5000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11534505/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prediction of COVID-19 Severity at Delivery after Asymptomatic or Mild COVID-19 during Pregnancy.\",\"authors\":\"Grecio J Sandoval, Torri D Metz, William A Grobman, Tracy A Manuck, Brenna L Hughes, George R Saade, Monica Longo, Hyagriv N Simhan, Dwight J Rouse, Hector Mendez-Figueroa, Cynthia Gyamfi-Bannerman, Angela C Ranzini, Maged M Costantine, Harish M Sehdev, Alan T N Tita\",\"doi\":\"10.1055/s-0044-1786868\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong> This study aimed to develop a prediction model that estimates the probability that a pregnant person who has had asymptomatic or mild coronavirus disease 2019 (COVID-19) prior to delivery admission will progress in severity to moderate, severe, or critical COVID-19.</p><p><strong>Study design: </strong> This was a secondary analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients who delivered from March through December 2020 at hospitals across the United States. Those eligible for this analysis presented for delivery with a current or previous asymptomatic or mild SARS-CoV-2 infection. The primary outcome was moderate, severe, or critical COVID-19 during the delivery admission through 42 days postpartum. The prediction model was developed and internally validated using stratified cross-validation with stepwise backward elimination, incorporating only variables that were known on the day of hospital admission.</p><p><strong>Results: </strong> Of the 2,818 patients included, 26 (0.9%; 95% confidence interval [CI], 0.6-1.3%) developed moderate-severe-critical COVID-19 during the study period. Variables in the prediction model were gestational age at delivery admission (adjusted odds ratio [aOR], 1.15; 95% CI, 1.08-1.22 per 1-week decrease), a hypertensive disorder in a prior pregnancy (aOR 3.05; 95% CI, 1.25-7.46), and systolic blood pressure at admission (aOR, 1.04; 95% CI, 1.02-1.05 per mm Hg increase). This model yielded an area under the receiver operating characteristic curve of 0.82 (95% CI, 0.72-0.91).</p><p><strong>Conclusion: </strong> Among individuals presenting for delivery who had asymptomatic-mild COVID-19, gestational age at delivery admission, a hypertensive disorder in a prior pregnancy, and systolic blood pressure at admission were predictive of delivering with moderate, severe, or critical COVID-19. This prediction model may be a useful tool to optimize resources for SARS-CoV-2-infected pregnant individuals admitted for delivery.</p><p><strong>Key points: </strong>· Three factors were associated with delivery with more severe COVID-19.. · The developed model yielded an area under the receiver operating characteristic curve of 0.82 and model fit was good.. · The model may be useful tool for SARS-CoV-2 infected pregnancies admitted for delivery..</p>\",\"PeriodicalId\":7584,\"journal\":{\"name\":\"American journal of perinatology\",\"volume\":\" \",\"pages\":\"2290-2297\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11534505/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of perinatology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/s-0044-1786868\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/10 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of perinatology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/s-0044-1786868","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/10 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

研究目的本研究旨在开发一种预测模型,用于估算在入院分娩前患有无症状或轻度冠状病毒病 2019(COVID-19)的孕妇病情恶化为中度、重度或危重 COVID-19 的概率:这是一项针对 2020 年 3 月至 12 月期间在美国各地医院分娩的严重急性呼吸系统综合征冠状病毒 2 (SARS-CoV-2) 阳性患者的二次分析。符合本次分析条件的患者均为当前或既往无症状或轻度 SARS-CoV-2 感染者。主要结果是入院分娩至产后 42 天期间的中度、重度或危重 COVID-19。预测模型的建立和内部验证采用了分层交叉验证和逐步回归排除法,只纳入了入院当天已知的变量:结果:在纳入的 2,818 名患者中,有 26 人(0.9%;95% 置信区间 [CI],0.6-1.3%)在研究期间出现了中重度危重 COVID-19。预测模型中的变量包括:入院分娩时的胎龄(调整后的几率比 [aOR],1.15;95% CI,每下降 1 周为 1.08-1.22)、前次妊娠中的高血压疾病(aOR,3.05;95% CI,1.25-7.46)和入院时的收缩压(aOR,1.04;95% CI,每升高 1 mm Hg 为 1.02-1.05)。该模型的接收者操作特征曲线下面积为 0.82(95% CI,0.72-0.91):结论:在患有无症状-轻度 COVID-19 的产妇中,入院时的胎龄、之前妊娠时的高血压疾病以及入院时的收缩压可预测产妇是否患有中度、重度或临界 COVID-19。该预测模型可作为一种有用的工具,用于优化为感染 SARS-CoV-2 的孕妇提供的分娩资源:- 要点:三个因素与分娩时感染更严重的 COVID-19 有关。- 建立的模型的接收者操作特征曲线下面积为 0.82,模型拟合良好。- 该模型对感染SARS-CoV-2的待产孕妇可能是有用的工具
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of COVID-19 Severity at Delivery after Asymptomatic or Mild COVID-19 during Pregnancy.

Objective:  This study aimed to develop a prediction model that estimates the probability that a pregnant person who has had asymptomatic or mild coronavirus disease 2019 (COVID-19) prior to delivery admission will progress in severity to moderate, severe, or critical COVID-19.

Study design:  This was a secondary analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients who delivered from March through December 2020 at hospitals across the United States. Those eligible for this analysis presented for delivery with a current or previous asymptomatic or mild SARS-CoV-2 infection. The primary outcome was moderate, severe, or critical COVID-19 during the delivery admission through 42 days postpartum. The prediction model was developed and internally validated using stratified cross-validation with stepwise backward elimination, incorporating only variables that were known on the day of hospital admission.

Results:  Of the 2,818 patients included, 26 (0.9%; 95% confidence interval [CI], 0.6-1.3%) developed moderate-severe-critical COVID-19 during the study period. Variables in the prediction model were gestational age at delivery admission (adjusted odds ratio [aOR], 1.15; 95% CI, 1.08-1.22 per 1-week decrease), a hypertensive disorder in a prior pregnancy (aOR 3.05; 95% CI, 1.25-7.46), and systolic blood pressure at admission (aOR, 1.04; 95% CI, 1.02-1.05 per mm Hg increase). This model yielded an area under the receiver operating characteristic curve of 0.82 (95% CI, 0.72-0.91).

Conclusion:  Among individuals presenting for delivery who had asymptomatic-mild COVID-19, gestational age at delivery admission, a hypertensive disorder in a prior pregnancy, and systolic blood pressure at admission were predictive of delivering with moderate, severe, or critical COVID-19. This prediction model may be a useful tool to optimize resources for SARS-CoV-2-infected pregnant individuals admitted for delivery.

Key points: · Three factors were associated with delivery with more severe COVID-19.. · The developed model yielded an area under the receiver operating characteristic curve of 0.82 and model fit was good.. · The model may be useful tool for SARS-CoV-2 infected pregnancies admitted for delivery..

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
American journal of perinatology
American journal of perinatology 医学-妇产科学
CiteScore
5.90
自引率
0.00%
发文量
302
审稿时长
4-8 weeks
期刊介绍: The American Journal of Perinatology is an international, peer-reviewed, and indexed journal publishing 14 issues a year dealing with original research and topical reviews. It is the definitive forum for specialists in obstetrics, neonatology, perinatology, and maternal/fetal medicine, with emphasis on bridging the different fields. The focus is primarily on clinical and translational research, clinical and technical advances in diagnosis, monitoring, and treatment as well as evidence-based reviews. Topics of interest include epidemiology, diagnosis, prevention, and management of maternal, fetal, and neonatal diseases. Manuscripts on new technology, NICU set-ups, and nursing topics are published to provide a broad survey of important issues in this field. All articles undergo rigorous peer review, with web-based submission, expedited turn-around, and availability of electronic publication. The American Journal of Perinatology is accompanied by AJP Reports - an Open Access journal for case reports in neonatology and maternal/fetal medicine.
×
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