Suppr超能文献

CCEDRRN COVID-19 感染评分(CCIS):在加拿大疑似 COVID-19 急诊患者队列中开发和验证用于预测 SARS-CoV-2 感染的临床风险评分。

CCEDRRN COVID-19 Infection Score (CCIS): development and validation in a Canadian cohort of a clinical risk score to predict SARS-CoV-2 infection in patients presenting to the emergency department with suspected COVID-19.

机构信息

Department of Emergency Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada

Department of Emergency Medicine, The University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada.

出版信息

BMJ Open. 2021 Dec 2;11(12):e055832. doi: 10.1136/bmjopen-2021-055832.

Abstract

OBJECTIVES

To develop and validate a clinical risk score that can accurately quantify the probability of SARS-CoV-2 infection in patients presenting to an emergency department without the need for laboratory testing.

DESIGN

Cohort study of participants in the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) registry. Regression models were fitted to predict a positive SARS-CoV-2 test result using clinical and demographic predictors, as well as an indicator of local SARS-CoV-2 incidence.

SETTING

32 emergency departments in eight Canadian provinces.

PARTICIPANTS

27 665 consecutively enrolled patients who were tested for SARS-CoV-2 in participating emergency departments between 1 March and 30 October 2020.

MAIN OUTCOME MEASURES

Positive SARS-CoV-2 nucleic acid test result within 14 days of an index emergency department encounter for suspected COVID-19 disease.

RESULTS

We derived a 10-item CCEDRRN COVID-19 Infection Score using data from 21 743 patients. This score included variables from history and physical examination and an indicator of local disease incidence. The score had a c-statistic of 0.838 with excellent calibration. We externally validated the rule in 5295 patients. The score maintained excellent discrimination and calibration and had superior performance compared with another previously published risk score. Score cut-offs were identified that can rule-in or rule-out SARS-CoV-2 infection without the need for nucleic acid testing with 97.4% sensitivity (95% CI 96.4 to 98.3) and 95.9% specificity (95% CI 95.5 to 96.0).

CONCLUSIONS

The CCEDRRN COVID-19 Infection Score uses clinical characteristics and publicly available indicators of disease incidence to quantify a patient's probability of SARS-CoV-2 infection. The score can identify patients at sufficiently high risk of SARS-CoV-2 infection to warrant isolation and empirical therapy prior to test confirmation while also identifying patients at sufficiently low risk of infection that they may not need testing.

TRIAL REGISTRATION NUMBER

NCT04702945.

摘要

目的

开发并验证一种临床风险评分,该评分可在无需实验室检测的情况下,准确量化急诊科就诊患者感染 SARS-CoV-2 的概率。

设计

加拿大 COVID-19 急诊科快速反应网络 (CCEDRRN) 登记处参与者的队列研究。使用临床和人口统计学预测因子以及当地 SARS-CoV-2 发病率指标,构建预测 SARS-CoV-2 检测阳性结果的回归模型。

设置

加拿大 8 个省的 32 个急诊科。

参与者

2020 年 3 月 1 日至 10 月 30 日期间在参与急诊科接受 SARS-CoV-2 检测的连续纳入的 27665 例患者。

主要观察指标

疑似 COVID-19 疾病的急诊科就诊后 14 天内 SARS-CoV-2 核酸检测阳性结果。

结果

我们从 21743 例患者的数据中得出了一个包含 10 项指标的 CCEDRRN COVID-19 感染评分。该评分包含病史和体检中的变量以及当地疾病发病率指标。该评分的 C 统计量为 0.838,具有良好的校准度。我们在 5295 例患者中对该规则进行了外部验证。该评分保持了良好的区分度和校准度,与另一个先前发表的风险评分相比具有更好的性能。确定了评分切点,可以在无需核酸检测的情况下,以 97.4%的敏感性(95%CI 96.4 至 98.3)和 95.9%的特异性(95%CI 95.5 至 96.0)来确定 SARS-CoV-2 感染的可能性。

结论

CCEDRRN COVID-19 感染评分使用临床特征和公共可用的疾病发病率指标来量化患者感染 SARS-CoV-2 的概率。该评分可以识别出 SARS-CoV-2 感染风险足够高的患者,需要在检测确认之前进行隔离和经验性治疗,同时也可以识别出感染风险足够低的患者,他们可能无需进行检测。

临床试验注册号

NCT04702945。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc7a/8640195/8b8ade0a305c/bmjopen-2021-055832f01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验