Full outline of unresponsiveness score as a predictor of outcomes in critically ill pediatric patients

Author:

Assa Novita Purnamasari,Wati Dyah Kanya,Subanada Ida Bagus,Soetjiningsih Soetjiningsih,Kardana Made,Sukmawati Made

Abstract

Background Mortality predictions are very important for improving service quality in the pediatric intensive care unit (PICU). The full outline of unresponsiveness (FOUR) is a new coma scale and is considered capable of predicting mortality and outcome. Objective To assess the ability of FOUR scores to predict outcomes of critically ill patients in the PICU. Methods This prospective cohort study included children aged 1 months - 18 years who were admitted to the PICU. Subjects were assessed by FOUR, grouped into score < 9 or score >9, and followed until outcomes were obtained. Bivariate analysis to assess the risk of death was made by cross-tabulation and the strength of the association in the form of risk ratio by Chi-square test. Multivariate analysis was done by logistic regression test. Results Of 94 subjects, 47 had FOUR scores ≤9 and 47 subjects had FOUR >9. Bivariate analysis revealed that PICU patients with FOUR score ≤9 had a higher risk of death than those with FOUR score >9 (RR 12.5; 95%CI 3.1 to 49.8; P<0.0001). Multivariate analysis revealed that FOUR score, length of stay ≤7 days, and non-surgical disease significantly increased the risk of mortality in PICU patients (by 42.8 times, 8.9 times, and 5.9 times, respectively). Conclusion The FOUR scores have good ability to predict the outcomes of critically ill pediatric patients. A FOUR score ≤9 at the beginning of treatment is significantly associated with the outcome of mortality during treatment in the PICU.

Publisher

Paediatrica Indonesiana - Indonesian Pediatric Society

Subject

Pediatrics, Perinatology, and Child Health

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3