Derivation and validation of a clinical severity score for acutely ill adults with suspected COVID-19: The PRIEST observational cohort study

Author:

Goodacre SteveORCID,Thomas BenORCID,Sutton Laura,Burnsall Matthew,Lee Ellen,Bradburn Mike,Loban Amanda,Waterhouse Simon,Simmonds RichardORCID,Biggs Katie,Marincowitz Carl,Schutter Jose,Connelly Sarah,Sheldon Elena,Hall Jamie,Young EmmaORCID,Bentley Andrew,Challen Kirsty,Fitzsimmons Chris,Harris Tim,Lecky FionaORCID,Lee Andrew,Maconochie Ian,Walter Darren

Abstract

Objectives We aimed to derive and validate a triage tool, based on clinical assessment alone, for predicting adverse outcome in acutely ill adults with suspected COVID-19 infection. Methods We undertook a mixed prospective and retrospective observational cohort study in 70 emergency departments across the United Kingdom (UK). We collected presenting data from 22445 people attending with suspected COVID-19 between 26 March 2020 and 28 May 2020. The primary outcome was death or organ support (respiratory, cardiovascular, or renal) by record review at 30 days. We split the cohort into derivation and validation sets, developed a clinical score based on the coefficients from multivariable analysis using the derivation set, and the estimated discriminant performance using the validation set. Results We analysed 11773 derivation and 9118 validation cases. Multivariable analysis identified that age, sex, respiratory rate, systolic blood pressure, oxygen saturation/inspired oxygen ratio, performance status, consciousness, history of renal impairment, and respiratory distress were retained in analyses restricted to the ten or fewer predictors. We used findings from multivariable analysis and clinical judgement to develop a score based on the NEWS2 score, age, sex, and performance status. This had a c-statistic of 0.80 (95% confidence interval 0.79–0.81) in the validation cohort and predicted adverse outcome with sensitivity 0.98 (0.97–0.98) and specificity 0.34 (0.34–0.35) for scores above four points. Conclusion A clinical score based on NEWS2, age, sex, and performance status predicts adverse outcome with good discrimination in adults with suspected COVID-19 and can be used to support decision-making in emergency care. Registration ISRCTN registry, ISRCTN28342533, http://www.isrctn.com/ISRCTN28342533

Funder

Health Technology Assessment Programme

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference19 articles.

1. World Health Organisation. Clinical care of severe acute respiratory infections–Tool kit. https://www.who.int/publications-detail/clinical-care-of-severe-acute-respiratory-infections-tool-kit (accessed 28/04/2020)

2. International Federation for Emergency Medicine. Global Response to COVID-19 for Emergency Healthcare Systems and Providers: From the IFEM Task Force on ED Crowding and Access Block. https://www.ifem.cc/coronavirus-2019-information/ (accessed 15/06/2020)

3. NHS. Clinical guide for the management of emergency department patients during the coronavirus pandemic. 17 March 2020 Version 1 https://www.england.nhs.uk/coronavirus/secondary-care/other-resources/specialty-guides/#ae (accessed 15/06/2020)

4. National Institute for Health and Care Excellence. COVID-19 rapid guideline: managing suspected or confirmed pneumonia in adults in the community. Published: 3 April 2020. www.nice.org.uk/guidance/ng165 (accessed 28/04/2020)

5. American College of Emergency Physicians. Guide to Coronavirus Disease (COVID-19) https://www.acep.org/corona/covid-19-field-guide/cover-page/

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