Development and validation of the ISARIC 4C Deterioration model for adults hospitalised with COVID-19: a prospective cohort study

医学 逻辑回归 队列 临床试验 前瞻性队列研究 急诊医学 队列研究 统计的 2019年冠状病毒病(COVID-19) 内科学 疾病 统计 数学 传染病(医学专业)
作者
Gupta Rk,Ewen M Harrison,Antonia Ho,Annemarie B Docherty,Stephen R Knight,Maarten van Smeden,Ibrahim Abubakar,Marc Lipman,Matteo Quartagno,Riinu Pius,Iain Buchan,Gail Carson,Thomas M Drake,Jake Dunning,Cameron J Fairfield,Carrol Gamble,Christopher Green,Sophie Halpin,Hayley Hardwick,Karl Holden,Peter Horby,Clare Jackson,Kenneth A McLean,Laura Merson,Jonathan S Nguyen‐Van‐Tam,Lisa Norman,Piero Olliaro,Mark G Pritchard,Clark D Russell,James Scott-Brown,Catherine Shaw,Aziz Sheikh,Tom Solomon,Cathie Sudlow,Olivia Swann,Lance Turtle,Peter Openshaw,J Kenneth Baillie,Malcolm G Semple,Mahdad Noursadeghi,Isaric C Investigators
出处
期刊:The Lancet Respiratory Medicine [Elsevier BV]
卷期号:9 (4): 349-359 被引量:167
标识
DOI:10.1016/s2213-2600(20)30559-2
摘要

Prognostic models to predict the risk of clinical deterioration in acute COVID-19 cases are urgently required to inform clinical management decisions.We developed and validated a multivariable logistic regression model for in-hospital clinical deterioration (defined as any requirement of ventilatory support or critical care, or death) among consecutively hospitalised adults with highly suspected or confirmed COVID-19 who were prospectively recruited to the International Severe Acute Respiratory and Emerging Infections Consortium Coronavirus Clinical Characterisation Consortium (ISARIC4C) study across 260 hospitals in England, Scotland, and Wales. Candidate predictors that were specified a priori were considered for inclusion in the model on the basis of previous prognostic scores and emerging literature describing routinely measured biomarkers associated with COVID-19 prognosis. We used internal-external cross-validation to evaluate discrimination, calibration, and clinical utility across eight National Health Service (NHS) regions in the development cohort. We further validated the final model in held-out data from an additional NHS region (London).74 944 participants (recruited between Feb 6 and Aug 26, 2020) were included, of whom 31 924 (43·2%) of 73 948 with available outcomes met the composite clinical deterioration outcome. In internal-external cross-validation in the development cohort of 66 705 participants, the selected model (comprising 11 predictors routinely measured at the point of hospital admission) showed consistent discrimination, calibration, and clinical utility across all eight NHS regions. In held-out data from London (n=8239), the model showed a similarly consistent performance (C-statistic 0·77 [95% CI 0·76 to 0·78]; calibration-in-the-large 0·00 [-0·05 to 0·05]); calibration slope 0·96 [0·91 to 1·01]), and greater net benefit than any other reproducible prognostic model.The 4C Deterioration model has strong potential for clinical utility and generalisability to predict clinical deterioration and inform decision making among adults hospitalised with COVID-19.National Institute for Health Research (NIHR), UK Medical Research Council, Wellcome Trust, Department for International Development, Bill & Melinda Gates Foundation, EU Platform for European Preparedness Against (Re-)emerging Epidemics, NIHR Health Protection Research Unit (HPRU) in Emerging and Zoonotic Infections at University of Liverpool, NIHR HPRU in Respiratory Infections at Imperial College London.

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
刚刚
搜集达人应助淼队采纳,获得10
1秒前
白立轩发布了新的文献求助10
1秒前
hahaxiao完成签到,获得积分10
1秒前
科研通AI6.1应助程雪霞采纳,获得10
1秒前
DDvicky发布了新的文献求助10
1秒前
1秒前
郝123发布了新的文献求助10
1秒前
丘比特应助kyt采纳,获得10
2秒前
2秒前
An完成签到,获得积分10
2秒前
哇哈哈哈发布了新的文献求助10
2秒前
2秒前
3秒前
3秒前
传奇3应助黄淮二傻采纳,获得10
4秒前
蛇叔发布了新的文献求助10
4秒前
4秒前
张嘉元完成签到,获得积分10
4秒前
勤劳傲安发布了新的文献求助10
4秒前
kkkong应助wallonce采纳,获得10
4秒前
无花果应助qiandaizi采纳,获得10
5秒前
CC完成签到,获得积分10
5秒前
ni发布了新的文献求助10
5秒前
JingLi完成签到,获得积分10
5秒前
江渡发布了新的文献求助10
5秒前
墨尘完成签到,获得积分10
5秒前
6秒前
Rojar完成签到,获得积分10
6秒前
李虎完成签到 ,获得积分10
6秒前
6秒前
阿会完成签到,获得积分10
6秒前
林佳一发布了新的文献求助10
7秒前
7秒前
勤奋雨发布了新的文献求助10
7秒前
朱朱朱发布了新的文献求助10
7秒前
8秒前
爆米花应助默幻弦采纳,获得10
9秒前
9秒前
科研通AI6.4应助DDvicky采纳,获得10
9秒前
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
Salmon nasal cartilage-derived proteoglycan complexes influence the gut microbiota and bacterial metabolites in mice 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Cowries - A Guide to the Gastropod Family Cypraeidae 1200
ON THE THEORY OF BIRATIONAL BLOWING-UP 666
Signals, Systems, and Signal Processing 610
“美军军官队伍建设研究”系列(全册) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6385131
求助须知:如何正确求助?哪些是违规求助? 8198335
关于积分的说明 17340574
捐赠科研通 5438692
什么是DOI,文献DOI怎么找? 2876246
邀请新用户注册赠送积分活动 1852734
关于科研通互助平台的介绍 1697068