Patient characteristics and admitting vital signs associated with coronavirus disease 2019 (COVID-19)–related mortality among patients admitted with noncritical illness

Author:

Sands Kenneth E.,Wenzel Richard P.,McLean Laura E.,Korwek Kimberly M.ORCID,Roach Jonathon D.,Miller Karla M.,Poland Russell E.,Burgess L. Hayley,Jackson Edmund S.,Perlin Jonathan B.

Abstract

AbstractObjective:To determine risk factors for mortality among COVID-19 patients admitted to a system of community hospitals in the United States.Design:Retrospective analysis of patient data collected from the routine care of COVID-19 patients.Setting:System of >180 acute-care facilities in the United States.Participants:All admitted patients with positive identification of COVID-19 and a documented discharge as of May 12, 2020.Methods:Determination of demographic characteristics, vital signs at admission, patient comorbidities and recorded discharge disposition in this population to construct a logistic regression estimating the odds of mortality, particular for those patients characterized as not being critically ill at admission.Results:In total, 6,180 COVID-19+ patients were identified as of May 12, 2020. Most COVID-19+ patients (4,808, 77.8%) were admitted directly to a medical-surgical unit with no documented critical care or mechanical ventilation within 8 hours of admission. After adjusting for demographic characteristics, comorbidities, and vital signs at admission in this subgroup, the largest driver of the odds of mortality was patient age (OR, 1.07; 95% CI, 1.06–1.08; P < .001). Decreased oxygen saturation at admission was associated with increased odds of mortality (OR, 1.09; 95% CI, 1.06–1.12; P < .001) as was diabetes (OR, 1.57; 95% CI, 1.21–2.03; P < .001).Conclusions:The identification of factors observable at admission that are associated with mortality in COVID-19 patients who are initially admitted to non-critical care units may help care providers, hospital epidemiologists, and hospital safety experts better plan for the care of these patients.

Publisher

Cambridge University Press (CUP)

Subject

Infectious Diseases,Microbiology (medical),Epidemiology

Reference22 articles.

1. Estimates of the severity of coronavirus disease 2019: a model-based analysis

2. Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China;Ruan;Intensive Care Med,2020

3. Renin–Angiotensin–Aldosterone System Inhibitors in Patients with Covid-19

4. 2. Coronavirus disease 2019 (COVID-19) cases in the US. Centers for Disease Control and Prevention website. https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html. Published 2020. Accessed April 22, 2020.

5. Clinical Characteristics of Coronavirus Disease 2019 in China

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