亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Performance of Three Mortality Prediction Scores and Evaluation of Important Determinants in Eight Pediatric Intensive Care Units in China

医学 接收机工作特性 置信区间 观察研究 重症监护 儿科重症监护室 死亡率 前瞻性队列研究 急诊医学 儿科 内科学 重症监护医学
作者
Zhengzheng Zhang,Xiangyuan Huang,Ying Wang,Ying Li,Hongjun Miao,Chenmei Zhang,Guoquan Pan,Yucai Zhang,Xiaodong Zhu,Weiming Chen,Juanzhen Li,Dongni Su,Yanlong Bi,Zhenjie Chen,Bingxin Jin,Huijie Miao,Xiangmei Kong,Ye Cheng,Yang Chen,Gangfeng Yan,Weili Yan,Guoping Lü
出处
期刊:Frontiers in Pediatrics [Frontiers Media SA]
卷期号:8 被引量:16
标识
DOI:10.3389/fped.2020.00522
摘要

Background: The mortality prediction scores were widely used in pediatric intensive care units. However, their performances were unclear in Chinese patients and there were also no reports based on large sample sizes in China. This study aims to evaluate the performances of three existing severity assessment scores in predicting PICU mortality and to identify important determinants. Methods: This prospective observational cohort study was carried out in eight multidisciplinary, tertiary-care PICUs of teaching hospitals in China. All eligible patients admitted to the PICUs between Aug 1, 2016, and Jul 31, 2017, were consecutively enrolled, among whom 3,957 were included for analysis. We calculated PCIS, PRISM IV, and PELOD-2 scores based on patient data collected in the first 24 h after PICU admission. The in-hospital mortality was defined as all-cause death within 3 months after admission. The discrimination of mortality was assessed using the area under the receiver-operating characteristics curve (AUC) and calibrated using the Hosmer-Lemeshow goodness-of-fit test. Results: A total of 4,770 eligible patients were recruited (median age 18.2 months, overall mortality rate 4.7%, median length of PICU stay 6 days), and 3,957 participants were included in the analysis. The AUC (95% confidence intervals, CI) were 0.74 (0.71-0.78), 0.76 (0.73-0.80), and 0.80 (0.77-0.83) for PCIS, PRISM IV, and PELOD-2, respectively. The Hosmer-Lemeshow test gave a chi-square of 3.16 for PCIS, 2.16 for PRISM IV and 4.81 for PELOD-2 (p ≥ 0.19). Cox regression identified five predictors from the items of scores better associated with higher death risk, with a C-index of 0.83 (95%CI 0.79-0.86), including higher platelet (HR = 1.85, 95% CI 1.59-2.16), invasive ventilation (HR = 1.40, 1.26-1.55), pupillary light reflex (HR = 1.31, 95% CI 1.22-1.42) scores, lower pH (HR 0.89, 0.84-0.94), and extreme PaO2 (HR 2.60, 95% CI 1.61-4.19 for the 1st quantile vs. 4th quantile) scores. Conclusions: Performances of the three scores in predicting PICU mortality are comparable, and five predictors were identified with better prediction to PICU mortality in Chinese patients.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
撞羽发布了新的文献求助10
2秒前
xxxxx发布了新的文献求助10
8秒前
19秒前
筱灬发布了新的文献求助10
23秒前
Orange应助oscar采纳,获得10
23秒前
28秒前
xxj发布了新的文献求助10
31秒前
民咕咕嘎完成签到 ,获得积分10
46秒前
脑洞疼应助oscar采纳,获得10
1分钟前
violinsj完成签到,获得积分10
1分钟前
打打应助violinsj采纳,获得10
1分钟前
善学以致用应助oscar采纳,获得10
1分钟前
1分钟前
我是老大应助zyh采纳,获得10
1分钟前
1分钟前
1分钟前
勤劳的小猫咪完成签到,获得积分10
1分钟前
ZanE完成签到,获得积分10
1分钟前
2分钟前
香蕉觅云应助动听阑悦采纳,获得10
2分钟前
汉堡包应助liuxl采纳,获得10
2分钟前
2分钟前
2分钟前
violinsj发布了新的文献求助10
2分钟前
ding应助唐甲洁采纳,获得10
2分钟前
2分钟前
斯文败类应助过氧化氢采纳,获得10
2分钟前
ceeray23发布了新的文献求助30
3分钟前
3分钟前
3分钟前
3分钟前
3分钟前
过氧化氢发布了新的文献求助10
3分钟前
CipherSage应助执着爆米花采纳,获得10
3分钟前
Donger完成签到 ,获得积分10
3分钟前
3分钟前
情怀应助撞羽采纳,获得10
3分钟前
唐甲洁发布了新的文献求助10
3分钟前
3分钟前
yh完成签到,获得积分10
3分钟前
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
Kinesiophobia : a new view of chronic pain behavior 3000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 1100
3O - Innate resistance in EGFR mutant non-small cell lung cancer (NSCLC) patients by coactivation of receptor tyrosine kinases (RTKs) 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Proceedings of the Fourth International Congress of Nematology, 8-13 June 2002, Tenerife, Spain 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5935697
求助须知:如何正确求助?哪些是违规求助? 7018473
关于积分的说明 15861606
捐赠科研通 5064651
什么是DOI,文献DOI怎么找? 2724173
邀请新用户注册赠送积分活动 1681865
关于科研通互助平台的介绍 1611408