建立预测早产儿坏死性小肠结肠炎的提名图:一项回顾性多中心队列研究。

IF 4 3区 医学 Q1 GASTROENTEROLOGY & HEPATOLOGY Digestive and Liver Disease Pub Date : 2024-09-02 DOI:10.1016/j.dld.2024.08.038
Baoquan Zhang, Wenlong Xiu, Enhuan Wei, Ronghua Zhong, Chunhui Wei, Qifan Wang, Jianmin Zheng, Zheng Yan, Xiaoying Wu, Changyi Yang
{"title":"建立预测早产儿坏死性小肠结肠炎的提名图:一项回顾性多中心队列研究。","authors":"Baoquan Zhang, Wenlong Xiu, Enhuan Wei, Ronghua Zhong, Chunhui Wei, Qifan Wang, Jianmin Zheng, Zheng Yan, Xiaoying Wu, Changyi Yang","doi":"10.1016/j.dld.2024.08.038","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To construct a nomogram for predicting necrotizing enterocolitis (NEC) in preterm infants.</p><p><strong>Methods: </strong>A total of 4,724 preterm infants who were admitted into 8 hospitals between April 2019 and September 2020 were initially enrolled this retrospective multicenter cohort study. Finally, 1,092 eligible cases were divided into training set and test set based on a 7:3 ratio. A univariate logistic regression analysis was performed to compare the variables between the two groups. Stepwise backward regression, LASSO regression, and Boruta feature selection were utilized in the multivariate analysis to identify independent risk factors. Then a nomogram model was constructed based on the identified risk factors.</p><p><strong>Results: </strong>Risk factors for NEC included gestational diabetes mellitus, gestational age, small for gestational age, patent ductus arteriosus, septicemia, red blood cell transfusion, intravenous immunoglobulin, severe feeding intolerance, and absence of breastfeeding. The nomogram model developed based on these factors showed well discriminative ability. Calibration and decision curve analysis curves confirmed the good consistency and clinical utility of the model.</p><p><strong>Conclusions: </strong>We developed a nomogram model with strong discriminative ability, consistency, and clinical utility for predicting NEC. This model could be valuable for the early prediction of preterm infants at risk of developing NEC.</p>","PeriodicalId":11268,"journal":{"name":"Digestive and Liver Disease","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishing a nomogram for predicting necrotizing enterocolitis in premature infants: A retrospective multicenter cohort study.\",\"authors\":\"Baoquan Zhang, Wenlong Xiu, Enhuan Wei, Ronghua Zhong, Chunhui Wei, Qifan Wang, Jianmin Zheng, Zheng Yan, Xiaoying Wu, Changyi Yang\",\"doi\":\"10.1016/j.dld.2024.08.038\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To construct a nomogram for predicting necrotizing enterocolitis (NEC) in preterm infants.</p><p><strong>Methods: </strong>A total of 4,724 preterm infants who were admitted into 8 hospitals between April 2019 and September 2020 were initially enrolled this retrospective multicenter cohort study. Finally, 1,092 eligible cases were divided into training set and test set based on a 7:3 ratio. A univariate logistic regression analysis was performed to compare the variables between the two groups. Stepwise backward regression, LASSO regression, and Boruta feature selection were utilized in the multivariate analysis to identify independent risk factors. Then a nomogram model was constructed based on the identified risk factors.</p><p><strong>Results: </strong>Risk factors for NEC included gestational diabetes mellitus, gestational age, small for gestational age, patent ductus arteriosus, septicemia, red blood cell transfusion, intravenous immunoglobulin, severe feeding intolerance, and absence of breastfeeding. The nomogram model developed based on these factors showed well discriminative ability. Calibration and decision curve analysis curves confirmed the good consistency and clinical utility of the model.</p><p><strong>Conclusions: </strong>We developed a nomogram model with strong discriminative ability, consistency, and clinical utility for predicting NEC. This model could be valuable for the early prediction of preterm infants at risk of developing NEC.</p>\",\"PeriodicalId\":11268,\"journal\":{\"name\":\"Digestive and Liver Disease\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Digestive and Liver Disease\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.dld.2024.08.038\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GASTROENTEROLOGY & HEPATOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digestive and Liver Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.dld.2024.08.038","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GASTROENTEROLOGY & HEPATOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

背景:构建预测早产儿坏死性小肠结肠炎(NEC)的提名图:构建预测早产儿坏死性小肠结肠炎(NEC)的提名图:这项回顾性多中心队列研究初步纳入了2019年4月至2020年9月期间8家医院收治的4724名早产儿。最后,1092 个符合条件的病例按照 7:3 的比例被分为训练集和测试集。对两组变量进行单变量逻辑回归分析比较。在多变量分析中,利用逐步回归、LASSO 回归和 Boruta 特征选择来识别独立的风险因素。然后根据确定的风险因素构建了一个提名图模型:结果:NEC的风险因素包括妊娠糖尿病、胎龄、胎龄小、动脉导管未闭、败血症、输注红细胞、静脉注射免疫球蛋白、严重喂养不耐受和未母乳喂养。根据这些因素建立的提名图模型显示出良好的分辨能力。校准和决策曲线分析曲线证实了该模型具有良好的一致性和临床实用性:我们建立的提名图模型具有很强的判别能力、一致性和临床实用性,可用于预测 NEC。结论:我们建立的提名图模型具有很强的判别能力、一致性和临床实用性,可用于早期预测有发生 NEC 风险的早产儿。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Establishing a nomogram for predicting necrotizing enterocolitis in premature infants: A retrospective multicenter cohort study.

Background: To construct a nomogram for predicting necrotizing enterocolitis (NEC) in preterm infants.

Methods: A total of 4,724 preterm infants who were admitted into 8 hospitals between April 2019 and September 2020 were initially enrolled this retrospective multicenter cohort study. Finally, 1,092 eligible cases were divided into training set and test set based on a 7:3 ratio. A univariate logistic regression analysis was performed to compare the variables between the two groups. Stepwise backward regression, LASSO regression, and Boruta feature selection were utilized in the multivariate analysis to identify independent risk factors. Then a nomogram model was constructed based on the identified risk factors.

Results: Risk factors for NEC included gestational diabetes mellitus, gestational age, small for gestational age, patent ductus arteriosus, septicemia, red blood cell transfusion, intravenous immunoglobulin, severe feeding intolerance, and absence of breastfeeding. The nomogram model developed based on these factors showed well discriminative ability. Calibration and decision curve analysis curves confirmed the good consistency and clinical utility of the model.

Conclusions: We developed a nomogram model with strong discriminative ability, consistency, and clinical utility for predicting NEC. This model could be valuable for the early prediction of preterm infants at risk of developing NEC.

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
Digestive and Liver Disease
Digestive and Liver Disease 医学-胃肠肝病学
CiteScore
6.10
自引率
2.20%
发文量
632
审稿时长
19 days
期刊介绍: Digestive and Liver Disease is an international journal of Gastroenterology and Hepatology. It is the official journal of Italian Association for the Study of the Liver (AISF); Italian Association for the Study of the Pancreas (AISP); Italian Association for Digestive Endoscopy (SIED); Italian Association for Hospital Gastroenterologists and Digestive Endoscopists (AIGO); Italian Society of Gastroenterology (SIGE); Italian Society of Pediatric Gastroenterology and Hepatology (SIGENP) and Italian Group for the Study of Inflammatory Bowel Disease (IG-IBD). Digestive and Liver Disease publishes papers on basic and clinical research in the field of gastroenterology and hepatology. Contributions consist of: Original Papers Correspondence to the Editor Editorials, Reviews and Special Articles Progress Reports Image of the Month Congress Proceedings Symposia and Mini-symposia.
期刊最新文献
Recent trends in foreign body ingestion (FBI) epidemiology: A national cohort study. Duodenal gastric heterotopia diagnosed by spectral CT. Feasibility, safety and efficacy of endoscopic submucosal dissection for recurrent superficial rectal neoplastic lesions after transanal microsurgery. Liver transplant for hepatocellular carcinoma in metabolic dysfunction-associated steatotic liver disease versus other etiologies: A meta-analysis. Sarcopenia in patients receiving TIPS is independently associated with increased risk of complications and mortality.
×
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