Characteristics of COVID-19 patients predicting hospital readmission after ED discharge

Objective: We aimed at identifying baseline predictive factors for emergency department (ED) readmission, with hospitalization/death, in COVID-19 patients previously discharged from the ED. We also developed a disease progression velocity index.
Design and setting: Retrospective cohort study of prospectively collected data. The charts of consecutive COVID-19 patients discharged from the Reggio Emilia (Italy) ED (March 2 - March 31, 2020) were retrospectively examined. Clinical, laboratory, and computed tomography (CT) findings at first ED admission were tested as predictive factors using multivariable logistic models. We divided CT extension by days from symptom onset to build a synthetic velocity index.
Participants: 450 patients discharged from the ED with diagnosis of COVID-19.
Main outcome measure: ED readmission within 14 days, followed by hospitalization/death.
Results: Of the discharged patients, 84 (18.7%) were readmitted to the ED and 61 (13.6%) were hospitalized and 10 (2.2%) ...

研究目标：本研究旨在识别曾从急诊科（Emergency Department, ED）出院的新型冠状病毒肺炎（COVID-19）患者中，与急诊科再入院、后续住院或死亡相关的基线预测因素，并构建疾病进展速度指数。
研究设计与研究场景：本研究为基于前瞻性收集数据的回顾性队列研究。对2020年3月2日至3月31日期间，从意大利雷焦艾米利亚急诊科出院的连续型新冠患者的病历资料进行回顾性审查。采用多变量logistic回归模型，将首次急诊科就诊时的临床、实验室检查及计算机断层扫描（Computed Tomography, CT）结果作为预测因素进行分析。以症状发作至CT检查的天数划分病变范围，以此构建综合疾病进展速度指数。
研究对象：共计450例因确诊新冠病毒肺炎从急诊科出院的患者。
主要结局指标：14天内发生急诊科再入院，且后续出现住院或死亡事件。
研究结果：在上述出院患者中，共有84例（18.7%）再次就诊于急诊科，61例（13.6%）需住院治疗，10例（2.2%）……