Initial emergency department vital signs may predict PICU admission in pediatric patients presenting with asthma exacerbation

Author:

Freedman Michael SORCID,Forno ErickORCID

Abstract

ABSTRACTObjectiveSevere asthma exacerbations account for a large share of asthma morbidity, mortality, and costs. Here, we aim to identify early predictive factors for pediatric intensive care unit (PICU) admission that could help improve outcomes.MethodsWe performed a retrospective observational study of 6,014 emergency department (ED) encounters at a large children’s hospital, including 95 (1.6%) resulting in PICU admission between 10/1/2015 and 8/31/2017 with ICD9/ICD10 codes for “asthma,” “bronchospasm,” or “wheezing”. Vital signs and demographic information were obtained from EHR data and analyzed for each encounter. Predictive factors were identified using adjusted regression models, and our primary outcome was PICU admission.ResultsHigher mean heartrates (HR) and respiratory rates (RR) and lower SpO2 within the first hour of ED presentation were independently associated with PICU admission. Odds of PICU admission increased 63% for each 10-beats/minute higher HR, 97% for each 10-breaths/minute higher RR, and 34% for each 5% lower SpO2. A binary predictive index using 1-hour vitals yielded OR 11.7 (95%CI 7.4-18.3) for PICU admission, area under the receiver operator characteristic curve (AUROC) 0.82 and overall accuracy of 81.5%. Results were essentially unchanged (AUROC 0.84) after adjusting for asthma severity and initial ED management. In combination with a secondary standardized clinical asthma distress score, positive predictive value increased by seven-fold (5.9% to 41%).ConclusionsA predictive index using HR, RR and SpO2 within the first hour of ED presentation accurately predicted PICU admission in this cohort. Automated vital signs trend analysis may help identify vulnerable patients quickly upon presentation.

Publisher

Cold Spring Harbor Laboratory

Reference35 articles.

1. Asthma Key Facts. World Health Organization. August 31, 2017. Available at: https://www.who.int/news-room/fact-sheets/detail/asthma. Accessed November 4, 2019.

2. Most Recent National Asthma Data. Centers for Disease Control and Prevention. May 2019. Available at: https://www.cdc.gov/asthma/most_recent_national_asthma_data.htm. Accessed November 4, 2019.

3. The Economic Burden of Asthma in the United States, 2008–2013

4. Expert Panel Report 3 (EPR-3): Guidelines for the Diagnosis and Management of Asthma–Summary Report 2007

5. Pocket Guide for Asthma Management and Prevention (for Adults and Children Older than 5 years). A Pocket Guide for Health Professionals. 2019. Available at: https://ginasthma.org/wp-content/uploads/2019/04/GINA-2019-main-Pocket-Guide-wms.pdf. Accessed November 5, 2019.

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