COVID-19住院患者出院临床标准分析:风险预测模型的开发与验证

IF 4.3 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Journal of General Internal Medicine Pub Date : 2024-11-01 Epub Date: 2024-06-27 DOI:10.1007/s11606-024-08856-x
Jeffrey L Schnipper, Sandra Oreper, Colin C Hubbard, Dax Kurbegov, Shanna A Arnold Egloff, Nader Najafi, Gilmer Valdes, Zishan Siddiqui, Kevin J O 'Leary, Leora I Horwitz, Tiffany Lee, Andrew D Auerbach
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引用次数: 0

摘要

背景:COVID-19 住院患者在经过一段时间的初步稳定后,临床症状可能会恶化,因此最佳出院时机成为临床和操作上的难题:确定 COVID-19 住院患者出院后再入院和死亡的风险:多中心回顾性观察队列研究,2020-2021 年,随访 30 天:2020年3月2日至2021年2月11日期间,因COVID-19呼吸道疾病在HCA医疗保健系统下属的180家美国医院之一住院治疗的成人:评估出院后 30 天内再次入院或在 HCA 医院死亡的情况。使用内部验证集(HCA队列的33%)计算接收器操作特征曲线下面积(AUC),并使用与医院医学研究网络(HOMERuN)相关的六个学术中心的类似数据进行外部验证:最终的HCA队列包括62195名患者(平均年龄61.9岁,51.9%为男性),其中4704人(7.6%)在出院后30天内再次入院或死亡。死亡或再入院的独立风险因素包括:出院后 72 小时内发热;呼吸急促、心动过速或在过去 24 小时内氧需求无改善;出院时淋巴细胞减少或血小板减少;自首次 SARS-CoV-2 检测呈阳性后≤7 天;HOSPITAL 再入院风险评分≥5;以及多种合并症。使用雷米替韦或抗凝治疗与较低的几率有关。内部验证集的模型AUC为0.73(95% CI 0.71-0.74),外部验证集为0.66(95% CI 0.64-0.67):这项大型回顾性研究确定了与出院后再入院或死亡相关的几个因素,这些因素在模型中具有良好的区分度。自检测呈阳性后 7 天或少于 7 天的患者,如果表现出潜在的可逆性风险因素,可推迟出院时间,直到这些风险因素消失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Analysis of Clinical Criteria for Discharge Among Patients Hospitalized for COVID-19: Development and Validation of a Risk Prediction Model.

Analysis of Clinical Criteria for Discharge Among Patients Hospitalized for COVID-19: Development and Validation of a Risk Prediction Model.

Background: Patients hospitalized with COVID-19 can clinically deteriorate after a period of initial stability, making optimal timing of discharge a clinical and operational challenge.

Objective: To determine risks for post-discharge readmission and death among patients hospitalized with COVID-19.

Design: Multicenter retrospective observational cohort study, 2020-2021, with 30-day follow-up.

Participants: Adults admitted for care of COVID-19 respiratory disease between March 2, 2020, and February 11, 2021, to one of 180 US hospitals affiliated with the HCA Healthcare system.

Main measures: Readmission to or death at an HCA hospital within 30 days of discharge was assessed. The area under the receiver operating characteristic curve (AUC) was calculated using an internal validation set (33% of the HCA cohort), and external validation was performed using similar data from six academic centers associated with a hospital medicine research network (HOMERuN).

Key results: The final HCA cohort included 62,195 patients (mean age 61.9 years, 51.9% male), of whom 4704 (7.6%) were readmitted or died within 30 days of discharge. Independent risk factors for death or readmission included fever within 72 h of discharge; tachypnea, tachycardia, or lack of improvement in oxygen requirement in the last 24 h; lymphopenia or thrombocytopenia at the time of discharge; being ≤ 7 days since first positive test for SARS-CoV-2; HOSPITAL readmission risk score ≥ 5; and several comorbidities. Inpatient treatment with remdesivir or anticoagulation were associated with lower odds. The model's AUC for the internal validation set was 0.73 (95% CI 0.71-0.74) and 0.66 (95% CI 0.64 to 0.67) for the external validation set.

Conclusions: This large retrospective study identified several factors associated with post-discharge readmission or death in models which performed with good discrimination. Patients 7 or fewer days since test positivity and who demonstrate potentially reversible risk factors may benefit from delaying discharge until those risk factors resolve.

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来源期刊
Journal of General Internal Medicine
Journal of General Internal Medicine 医学-医学:内科
CiteScore
7.70
自引率
5.30%
发文量
749
审稿时长
3-6 weeks
期刊介绍: The Journal of General Internal Medicine is the official journal of the Society of General Internal Medicine. It promotes improved patient care, research, and education in primary care, general internal medicine, and hospital medicine. Its articles focus on topics such as clinical medicine, epidemiology, prevention, health care delivery, curriculum development, and numerous other non-traditional themes, in addition to classic clinical research on problems in internal medicine.
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