川崎病巨噬细胞活化综合征的临床和实验室特征:单中心横断面研究

IF 1.7 4区 医学 Q2 PEDIATRICS
Indian pediatrics Pub Date : 2024-08-15 Epub Date: 2024-06-06
Anu Maheshwari, Sameer Gulati, Vanshika Kakkar, D R Kavya, Meenakshi Aggarwal, Srikanta Basu, Deonath Mahto
{"title":"川崎病巨噬细胞活化综合征的临床和实验室特征:单中心横断面研究","authors":"Anu Maheshwari, Sameer Gulati, Vanshika Kakkar, D R Kavya, Meenakshi Aggarwal, Srikanta Basu, Deonath Mahto","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To study the prevalence of macrophage activation syndrome (MAS) in children with Kawasaki disease (KD) and to devise a classification tree for predicting MAS in early KD based on easily available clinical and laboratory information using artificial intelligence (AI) technology.</p><p><strong>Methods: </strong>A cross-sectional observational study was conducted (March 2020 - October 2021) during which hospitalized children aged 1-18 years with KD were consecutively enrolled. Those with a positive RTPCR test or IgM/IgG serology for COVID-19 were excluded. The clinical and laboratory profiles of children with and without MAS were studied. A multivariable logistic regression (LR) model was developed utilizing backward elimination method to determine the relationship between select candidate predictor variables and MAS in patients with KD. A classification tree was created based on these using artificial intelligence algorithms.</p><p><strong>Results: </strong>Sixty-two children were diagnosed with KD during the study period, of these, 42 children with KD were included; 14 (33.3 %) were diagnosed with MAS. The median (IQR) duration of fever (days) was significantly more in MAS than those without MAS [7 (5, 15) vs 5 (5, 9), P < 0.05]. Serum albumin (g/dL) was significantly lower in those with MAS [2.3 (2.2, 2.7) vs 2.8 (2.3, 3.1), P = 0.03]. The classification tree constructed using the AI-based algorithm predicted that in children with KD who had myocardial dysfunction, serum albumin < 2.8 g/dL and fever > 6 days duration at admission had an increased likelihood of developing MAS. In children without myocardial dysfunction, alanine transaminase (ALT) levels > 70 U/L and fever > 5 days were equally predictive of MAS.</p><p><strong>Conclusion: </strong>Nearly one-third of the children with KD had MAS. Clinicians should consider screening all children with KD for MAS at admission. A classification tree based on the presence of myocardial dysfunction, duration of fever > 6 days, ALT levels and hypoalbuminemia can identify MAS in the course of KD.</p>","PeriodicalId":13291,"journal":{"name":"Indian pediatrics","volume":" ","pages":"723-729"},"PeriodicalIF":1.7000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clinical and Laboratory Profile of Macrophage Activation Syndrome in Kawasaki Disease: A Single Centre Cross-Sectional Study.\",\"authors\":\"Anu Maheshwari, Sameer Gulati, Vanshika Kakkar, D R Kavya, Meenakshi Aggarwal, Srikanta Basu, Deonath Mahto\",\"doi\":\"\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To study the prevalence of macrophage activation syndrome (MAS) in children with Kawasaki disease (KD) and to devise a classification tree for predicting MAS in early KD based on easily available clinical and laboratory information using artificial intelligence (AI) technology.</p><p><strong>Methods: </strong>A cross-sectional observational study was conducted (March 2020 - October 2021) during which hospitalized children aged 1-18 years with KD were consecutively enrolled. Those with a positive RTPCR test or IgM/IgG serology for COVID-19 were excluded. The clinical and laboratory profiles of children with and without MAS were studied. A multivariable logistic regression (LR) model was developed utilizing backward elimination method to determine the relationship between select candidate predictor variables and MAS in patients with KD. A classification tree was created based on these using artificial intelligence algorithms.</p><p><strong>Results: </strong>Sixty-two children were diagnosed with KD during the study period, of these, 42 children with KD were included; 14 (33.3 %) were diagnosed with MAS. The median (IQR) duration of fever (days) was significantly more in MAS than those without MAS [7 (5, 15) vs 5 (5, 9), P < 0.05]. Serum albumin (g/dL) was significantly lower in those with MAS [2.3 (2.2, 2.7) vs 2.8 (2.3, 3.1), P = 0.03]. The classification tree constructed using the AI-based algorithm predicted that in children with KD who had myocardial dysfunction, serum albumin < 2.8 g/dL and fever > 6 days duration at admission had an increased likelihood of developing MAS. In children without myocardial dysfunction, alanine transaminase (ALT) levels > 70 U/L and fever > 5 days were equally predictive of MAS.</p><p><strong>Conclusion: </strong>Nearly one-third of the children with KD had MAS. Clinicians should consider screening all children with KD for MAS at admission. A classification tree based on the presence of myocardial dysfunction, duration of fever > 6 days, ALT levels and hypoalbuminemia can identify MAS in the course of KD.</p>\",\"PeriodicalId\":13291,\"journal\":{\"name\":\"Indian pediatrics\",\"volume\":\" \",\"pages\":\"723-729\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-08-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Indian pediatrics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"PEDIATRICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Indian pediatrics","FirstCategoryId":"3","ListUrlMain":"","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PEDIATRICS","Score":null,"Total":0}
引用次数: 0

摘要

目的研究川崎病(KD)患儿中巨噬细胞活化综合征(MAS)的患病率,并利用人工智能(AI)技术,基于易于获得的临床和实验室信息,设计一棵分类树,用于预测早期川崎病的巨噬细胞活化综合征:我们开展了一项前瞻性横断面观察研究(2020 年 3 月至 2021 年 10 月),连续纳入了 1-18 岁的 KD 住院患儿。排除了RTPCR检测或COVID-19 IgM/IgG血清学检测呈阳性的患儿。研究了患有和未患有 MAS 的儿童的临床和实验室特征。利用反向排除法建立了一个多变量逻辑回归(LR)模型,以确定 KD 患者中某些候选预测变量与 MAS 之间的关系。在此基础上,利用人工智能算法创建了一棵分类树:研究期间有62名儿童被诊断为KD,其中42名KD患儿被纳入研究,14名(33.3%)被诊断为MAS。MAS患儿的发热持续时间中位数(IQR)(天)明显多于非MAS患儿[7(5,15) vs 5(5,9),P < 0.05]。MAS患者的血清白蛋白(克/分升)明显较低[2.3 (2.2, 2.7) vs 2.8 (2.3, 3.1),P = 0.03]。基于人工智能算法构建的分类树预测,心肌功能不全、血清白蛋白≤2.8 g/dL和入院时发热超过6天的KD患儿患MAS的可能性增加。在没有心肌功能障碍的患儿中,丙氨酸转氨酶(ALT)水平> 70 U/L和发热> 5天同样可预测MAS的发生:结论:近三分之一的 KD 儿童患有 MAS。临床医生应考虑在所有 KD 患儿入院时对其进行 MAS 筛查。根据心肌功能障碍的存在、发热时间 > 6 天、ALT 水平和低白蛋白血症建立的分类树可以在 KD 病程中识别 MAS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical and Laboratory Profile of Macrophage Activation Syndrome in Kawasaki Disease: A Single Centre Cross-Sectional Study.

Objective: To study the prevalence of macrophage activation syndrome (MAS) in children with Kawasaki disease (KD) and to devise a classification tree for predicting MAS in early KD based on easily available clinical and laboratory information using artificial intelligence (AI) technology.

Methods: A cross-sectional observational study was conducted (March 2020 - October 2021) during which hospitalized children aged 1-18 years with KD were consecutively enrolled. Those with a positive RTPCR test or IgM/IgG serology for COVID-19 were excluded. The clinical and laboratory profiles of children with and without MAS were studied. A multivariable logistic regression (LR) model was developed utilizing backward elimination method to determine the relationship between select candidate predictor variables and MAS in patients with KD. A classification tree was created based on these using artificial intelligence algorithms.

Results: Sixty-two children were diagnosed with KD during the study period, of these, 42 children with KD were included; 14 (33.3 %) were diagnosed with MAS. The median (IQR) duration of fever (days) was significantly more in MAS than those without MAS [7 (5, 15) vs 5 (5, 9), P < 0.05]. Serum albumin (g/dL) was significantly lower in those with MAS [2.3 (2.2, 2.7) vs 2.8 (2.3, 3.1), P = 0.03]. The classification tree constructed using the AI-based algorithm predicted that in children with KD who had myocardial dysfunction, serum albumin < 2.8 g/dL and fever > 6 days duration at admission had an increased likelihood of developing MAS. In children without myocardial dysfunction, alanine transaminase (ALT) levels > 70 U/L and fever > 5 days were equally predictive of MAS.

Conclusion: Nearly one-third of the children with KD had MAS. Clinicians should consider screening all children with KD for MAS at admission. A classification tree based on the presence of myocardial dysfunction, duration of fever > 6 days, ALT levels and hypoalbuminemia can identify MAS in the course of KD.

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
Indian pediatrics
Indian pediatrics 医学-小儿科
CiteScore
3.30
自引率
8.70%
发文量
344
审稿时长
3-8 weeks
期刊介绍: The general objective of Indian Pediatrics is "To promote the science and practice of Pediatrics." An important guiding principle has been the simultaneous need to inform, educate and entertain the target audience. The specific key objectives are: -To publish original, relevant, well researched peer reviewed articles on issues related to child health. -To provide continuing education to support informed clinical decisions and research. -To foster responsible and balanced debate on controversial issues that affect child health, including non-clinical areas such as medical education, ethics, law, environment and economics. -To achieve the highest level of ethical medical journalism and to produce a publication that is timely, credible and enjoyable to read.
×
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