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哪些参数支持急诊科疑似 COVID-19 病例的处置决策:一项德国临床队列研究。

Which parameters support disposition decision in suspected COVID-19 cases in the emergency department (ED): a German clinical cohort study.

机构信息

Emergency and Acute Medicine, Campus Mitte and Virchow, Charite Universitatsmedizin Berlin, Berlin, Germany

Department of Infectious Diseases and Respiratory Medicine, Charite Universitatsmedizin Berlin, Berlin, Germany.

出版信息

BMJ Open. 2021 Mar 31;11(3):e044853. doi: 10.1136/bmjopen-2020-044853.

Abstract

OBJECTIVES

One major goal of the emergency department (ED) is to decide, whether patients need to be hospitalised or can be sent home safely. We aim at providing criteria for these decisions without knowing the SARS-CoV-2 test result in suspected cases.

SETTING

Tertiary emergency medicine.

PARTICIPANTS

All patients were treated at the ED of the Charité during the pandemic peak and underwent SARS-CoV-2 testing. Patients with positive test results were characterised in detail and underwent a 14-day-follow-up.

PRIMARY AND SECONDARY OUTCOME MEASURES

Logistic regression and classification and regression tree (CART) analyses were performed to identify predictors (primary endpoint), which confirm safe discharge. The clinical endpoint was all-cause mortality or need for mechanical ventilation during index stay or after readmission.

RESULTS

The primary test population of suspected COVID-19 consisted of n=1255 cases, 45.2% were women (n=567). Of these, n=110 tested positive for SARS-CoV-2 (8.8%). The median age of SARS-CoV-2-positive cases was 45 years (IQR: 33-66 years), whereas the median age of the group tested negative for SARS-CoV-2 was 42 years (IQR: 30-60 years) (p=0.096). 43.6% were directly admitted to hospital care.CART analysis identified the variables oxygen saturation (<95%), dyspnoea and history of cardiovascular (CV) disease to distinguish between high and low-risk groups. If all three variables were negative, most patients were discharged from ED, and the incidence of the clinical endpoint was 0%. The validation cohort confirmed the safety of discharge using these variables and revealed an incidence of the clinical endpoint from 14.3% in patients with CV disease, 9.4% in patients with dyspnoea and 18.2% in patients with O satuaration below 95%.

CONCLUSIONS

Based on easily available variables like dyspnoea, oxygen saturation, history of CV disease, approximately 25% of patients subsequently confirmed with COVID-19 can be identified for safe discharge.

TRIAL REGISTRATION NUMBER

DRKS00023117.

摘要

目的

急诊科(ED)的主要目标之一是确定患者是否需要住院治疗或可以安全回家。我们旨在提供这些决策的标准,而无需了解疑似病例的 SARS-CoV-2 检测结果。

背景

三级急诊医学。

参与者

所有患者均在大流行高峰期在 Charité 的 ED 接受治疗,并接受 SARS-CoV-2 检测。对检测结果呈阳性的患者进行了详细描述,并进行了 14 天的随访。

主要和次要结局测量

进行逻辑回归和分类回归树(CART)分析,以识别可确认安全出院的预测因素(主要终点)。临床终点是指数住院期间或再次入院后的全因死亡率或需要机械通气。

结果

疑似 COVID-19 的主要测试人群包括 n=1255 例,其中 45.2%为女性(n=567)。其中,n=110 例 SARS-CoV-2 检测呈阳性(8.8%)。SARS-CoV-2 阳性病例的中位年龄为 45 岁(IQR:33-66 岁),而 SARS-CoV-2 检测阴性组的中位年龄为 42 岁(IQR:30-60 岁)(p=0.096)。43.6%直接收治住院。CART 分析确定了血氧饱和度(<95%)、呼吸困难和心血管(CV)疾病史这三个变量,以区分高风险和低风险组。如果这三个变量均为阴性,则大多数患者从 ED 出院,临床终点的发生率为 0%。验证队列使用这些变量证实了出院的安全性,并显示出 CV 疾病患者的临床终点发生率为 14.3%,呼吸困难患者为 9.4%,血氧饱和度低于 95%的患者为 18.2%。

结论

基于呼吸困难、血氧饱和度、CV 疾病史等易于获得的变量,大约 25%随后被确诊为 COVID-19 的患者可被识别为安全出院。

试验注册号

DRKS00023117。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5e0/8015792/ca6c8f76f7c6/bmjopen-2020-044853f01.jpg

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