Novel Predictors of Intravenous Immunoglobulin Resistance in Chinese Children with Kawasaki Disease

医学 川崎病 接收机工作特性 逻辑回归 计分系统 内科学 曲线下面积 动脉
作者
Peipei Fu,Zhong-Dong Du,Yuesong Pan
出处
期刊:Pediatric Infectious Disease Journal [Ovid Technologies (Wolters Kluwer)]
卷期号:32 (8): e319-e323 被引量:64
标识
DOI:10.1097/inf.0b013e31828e887f
摘要

The purpose of this study was to develop a predictive scoring system to identify intravenous immunoglobulin resistance in children with Kawasaki disease, to implement additional therapies early in the course of their illness and prevent coronary artery lesions.We performed a retrospective review of children with Kawasaki disease treated within 10 days of fever onset. To identify independent predictors of intravenous immunoglobulin resistance, multivariable logistic regression models were constructed using variables selected by univariable analysis. The independent predictors were combined into a new scoring system and compared with 2 existing systems. The discriminatory capacity of the scoring system was assessed using the area under the receiver operating characteristic curves.By logistic regression analysis, polymorphous exanthema, changes around the anus, days of illness at initial treatment, percentage of neutrophils, C-reactive protein levels, albumin levels, and total bilirubin proved to be independent predictors of intravenous immunoglobulin resistance. The new scoring system gave an area under the receiver operating characteristic curve of 0.672. In this scoring system, 2 risk strata were identified: low risk, with scores of 0-3, and high risk, with scores of ≥4. The sensitivity was 54.1% and the specificity was 71.2%.The new scoring system had a higher specificity and sensitivity for Chinese children, compared with the Kobayashi scoring system and the Egami scoring system, but, unfortunately, the new scoring system was not good enough to be widely used because of its low sensitivity.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zzz完成签到,获得积分10
刚刚
天天快乐应助zhaoyuwei采纳,获得10
刚刚
刚刚
1秒前
1秒前
2秒前
2秒前
乐乐应助某某采纳,获得10
2秒前
2秒前
阿简发布了新的文献求助10
3秒前
JQB完成签到,获得积分10
3秒前
3秒前
enen完成签到,获得积分10
3秒前
3秒前
浮游应助安谢采纳,获得10
4秒前
4秒前
量子星尘发布了新的文献求助10
5秒前
积极夜安完成签到,获得积分20
5秒前
叶伟帮发布了新的文献求助30
5秒前
5秒前
6秒前
Arther发布了新的文献求助10
6秒前
小吴完成签到,获得积分10
6秒前
6秒前
大模型应助苹果初阳采纳,获得10
6秒前
尊敬乐蕊完成签到,获得积分10
7秒前
张兰兰发布了新的文献求助10
7秒前
huaming发布了新的文献求助10
7秒前
田様应助炒栗子采纳,获得10
8秒前
8秒前
上官若男应助缥缈的飞扬采纳,获得10
8秒前
顺心怡发布了新的文献求助10
8秒前
英俊的铭应助醉熏的含桃采纳,获得10
9秒前
9秒前
大胆的猫咪完成签到,获得积分10
9秒前
erfan完成签到,获得积分10
9秒前
乐乐应助马明旋采纳,获得10
9秒前
9秒前
暴富小羊完成签到,获得积分20
10秒前
刘小九发布了新的文献求助10
11秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to Early Childhood Education 1000
2025-2031年中国兽用抗生素行业发展深度调研与未来趋势报告 1000
List of 1,091 Public Pension Profiles by Region 921
Identifying dimensions of interest to support learning in disengaged students: the MINE project 800
Synthesis and properties of compounds of the type A (III) B2 (VI) X4 (VI), A (III) B4 (V) X7 (VI), and A3 (III) B4 (V) X9 (VI) 500
Antihistamine substances. XXII; Synthetic antispasmodics. IV. Basic ethers derived from aliphatic carbinols and α-substituted benzyl alcohols 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5430157
求助须知:如何正确求助?哪些是违规求助? 4543397
关于积分的说明 14186899
捐赠科研通 4461523
什么是DOI,文献DOI怎么找? 2446207
邀请新用户注册赠送积分活动 1437454
关于科研通互助平台的介绍 1414381