External validation of the 4C mortality score among COVID-19 patients admitted to hospital in Ontario, Canada: a retrospective study.
Sci Rep
; 11(1): 18638, 2021 09 20.
文章
在 英语
| MEDLINE | ID: covidwho-1428897
ABSTRACT
Risk prediction scores are important tools to support clinical decision-making for patients with coronavirus disease (COVID-19). The objective of this paper was to validate the 4C mortality score, originally developed in the United Kingdom, for a Canadian population, and to examine its performance over time. We conducted an external validation study within a registry of COVID-19 positive hospital admissions in the Kitchener-Waterloo and Hamilton regions of southern Ontario between March 4, 2020 and June 13, 2021. We examined the validity of the 4C score to prognosticate in-hospital mortality using the area under the receiver operating characteristic curve (AUC) with 95% confidence intervals calculated via bootstrapping. The study included 959 individuals, of whom 224 (23.4%) died in-hospital. Median age was 72 years and 524 individuals (55%) were male. The AUC of the 4C score was 0.77, 95% confidence interval 0.79-0.87. Overall mortality rates across the pre-defined risk groups were 0% (Low), 8.0% (Intermediate), 27.2% (High), and 54.2% (Very High). Wave 1, 2 and 3 values of the AUC were 0.81 (0.76, 0.86), 0.74 (0.69, 0.80), and 0.76 (0.69, 0.83) respectively. The 4C score is a valid tool to prognosticate mortality from COVID-19 in Canadian hospitals and can be used to prioritize care and resources for patients at greatest risk of death.
全文:
可用
采集:
国际数据库
资料库:
MEDLINE
主要主题:
COVID-19
/
Hospitalization
研究类型:
诊断研究
/
实验研究
/
观察性研究
/
预后研究
/
随机对照试验
限制:
年老的
/
女性
/
人类
/
男性
/
中年
国家/地区名称主题:
北美
语言:
英语
期刊:
Sci Rep
年:
2021
类型:
文章
所属国家:
S41598-021-97332-1
相关文档
MEDLINE
...
LILACS
LIS