A Prediction Model for Neonatal Coarctation Repair Involving Fetal and Neonatal Echocardiographic Parameters

IF 1.3 4区 医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS Journal of Cardiac Surgery Pub Date : 2023-11-08 DOI:10.1155/2023/8831107
Qi Shi, Jiazhong Tang, Minjie Zhang, Sun Chen, Yurong Wu, Yanan Lu
{"title":"A Prediction Model for Neonatal Coarctation Repair Involving Fetal and Neonatal Echocardiographic Parameters","authors":"Qi Shi, Jiazhong Tang, Minjie Zhang, Sun Chen, Yurong Wu, Yanan Lu","doi":"10.1155/2023/8831107","DOIUrl":null,"url":null,"abstract":"Objective. The aim of this study is to investigate the predictive value of fetal and neonatal echocardiographic parameters for neonatal coarctation repair in fetuses suspected of coarctation of the aorta (CoA), establish a prediction model for neonatal coarctation repair, and verify its predictive effectiveness and clinical applicability. Methods. From September 2017 to September 2022, fetuses suspected with CoA were enrolled. They were divided into two groups based on the need for neonatal coarctation repair. Fetal and neonatal echocardiographic parameters and clinical characteristics were collected retrospectively. Univariate and multivariate logistic regressions were applied to select significant predictors, which were further used to establish the nomogram prediction model. The area under the curve (AUC) of the receiver operating characteristic (ROC) was employed to quantify its discrimination ability. The calibration curve was drawn for internal verification, and the decision curve analysis (DCA) and clinical impact curve (CIC) were used to evaluate the clinical applicability of the prediction model. Results. This study included 50 infants suspected of CoA prenatally, of which 16 (32%) received aortic coarctation repair in the neonatal period and 34 (68%) did not. Multivariable logistic regression analysis revealed that the fetal echocardiographic parameter aortic isthmus/ductus arteriosus (AoI/DA) diameter ratio and the neonatal echocardiographic parameters such as the distance from left common carotid to left subclavian artery (LCSA) and the diameter of distal transverse aortic arch (DTAA) were independent predictors for neonatal coarctation repair. The ROC curve of the model showed excellent predictive value (AUC = 0.943). The calibration curve of the prediction model exhibited good fitness. The DCA and CIC demonstrated that the model had good clinical utility. Conclusion. The prediction model, which combines the fetal echocardiographic parameter AoI/DA diameter ratio and the neonatal echocardiographic parameters distance of LCSA and DTAA diameter, has an exceptional level of clinical value and prediction accuracy.","PeriodicalId":15367,"journal":{"name":"Journal of Cardiac Surgery","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cardiac Surgery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2023/8831107","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Objective. The aim of this study is to investigate the predictive value of fetal and neonatal echocardiographic parameters for neonatal coarctation repair in fetuses suspected of coarctation of the aorta (CoA), establish a prediction model for neonatal coarctation repair, and verify its predictive effectiveness and clinical applicability. Methods. From September 2017 to September 2022, fetuses suspected with CoA were enrolled. They were divided into two groups based on the need for neonatal coarctation repair. Fetal and neonatal echocardiographic parameters and clinical characteristics were collected retrospectively. Univariate and multivariate logistic regressions were applied to select significant predictors, which were further used to establish the nomogram prediction model. The area under the curve (AUC) of the receiver operating characteristic (ROC) was employed to quantify its discrimination ability. The calibration curve was drawn for internal verification, and the decision curve analysis (DCA) and clinical impact curve (CIC) were used to evaluate the clinical applicability of the prediction model. Results. This study included 50 infants suspected of CoA prenatally, of which 16 (32%) received aortic coarctation repair in the neonatal period and 34 (68%) did not. Multivariable logistic regression analysis revealed that the fetal echocardiographic parameter aortic isthmus/ductus arteriosus (AoI/DA) diameter ratio and the neonatal echocardiographic parameters such as the distance from left common carotid to left subclavian artery (LCSA) and the diameter of distal transverse aortic arch (DTAA) were independent predictors for neonatal coarctation repair. The ROC curve of the model showed excellent predictive value (AUC = 0.943). The calibration curve of the prediction model exhibited good fitness. The DCA and CIC demonstrated that the model had good clinical utility. Conclusion. The prediction model, which combines the fetal echocardiographic parameter AoI/DA diameter ratio and the neonatal echocardiographic parameters distance of LCSA and DTAA diameter, has an exceptional level of clinical value and prediction accuracy.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
涉及胎儿和新生儿超声心动图参数的新生儿缩窄修复预测模型
目标。本研究旨在探讨胎儿及新生儿超声心动图参数对疑似主动脉缩窄胎儿(CoA)新生儿缩窄修复的预测价值,建立新生儿缩窄修复预测模型,并验证其预测有效性及临床适用性。方法。2017年9月至2022年9月,纳入疑似CoA的胎儿。根据新生儿缩窄修复的需要将患者分为两组。回顾性收集胎儿及新生儿超声心动图参数及临床特征。采用单因素和多因素logistic回归筛选显著性预测因子,并进一步建立nomogram预测模型。采用受试者工作特征曲线下面积(AUC)来量化其鉴别能力。绘制校正曲线进行内部验证,并采用决策曲线分析(DCA)和临床影响曲线(CIC)评价预测模型的临床适用性。结果。本研究纳入了50例产前疑似CoA的婴儿,其中16例(32%)在新生儿期接受了主动脉缩窄修复,34例(68%)未接受修复。多变量logistic回归分析显示,胎儿超声心动图参数主动脉峡/动脉导管(AoI/DA)直径比和新生儿超声心动图参数左颈总动脉到左锁骨下动脉(LCSA)距离和远端主动脉弓(DTAA)直径是新生儿缩窄修复的独立预测因子。该模型的ROC曲线具有良好的预测价值(AUC = 0.943)。预测模型的校正曲线具有良好的拟合性。DCA和CIC结果表明该模型具有良好的临床应用价值。结论。该预测模型结合了胎儿超声心动图参数AoI/DA直径比值和新生儿超声心动图参数LCSA与DTAA直径距离,具有极高的临床价值和预测精度。
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 去求助
来源期刊
CiteScore
2.90
自引率
12.50%
发文量
976
审稿时长
3-8 weeks
期刊介绍: Journal of Cardiac Surgery (JCS) is a peer-reviewed journal devoted to contemporary surgical treatment of cardiac disease. Renown for its detailed "how to" methods, JCS''s well-illustrated, concise technical articles, critical reviews and commentaries are highly valued by dedicated readers worldwide. With Editor-in-Chief Harold Lazar, MD and an internationally prominent editorial board, JCS continues its 20-year history as an important professional resource. Editorial coverage includes biologic support, mechanical cardiac assist and/or replacement and surgical techniques, and features current material on topics such as OPCAB surgery, stented and stentless valves, endovascular stent placement, atrial fibrillation, transplantation, percutaneous valve repair/replacement, left ventricular restoration surgery, immunobiology, and bridges to transplant and recovery. In addition, special sections (Images in Cardiac Surgery, Cardiac Regeneration) and historical reviews stimulate reader interest. The journal also routinely publishes proceedings of important international symposia in a timely manner.
期刊最新文献
Single-Center Success of Concomitant Cryothermal Cox-Maze IV Procedure Interrupted Aortic Arch: Assessment of Morphology and Associated Cardiovascular Anomalies on Computed Tomography Angiography Implementation of Robotic Coronary Surgery after Established Mitral Robotic Program Impact of Donor Coronary Artery Disease on Recipient Outcomes in Heart Transplantation Short- and Midterm Outcomes of Off- and On-Pump Coronary Artery Bypass in Patients with a Mean Age of 65 or More: Systematic Review and Meta-Analysis
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1