Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.
Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
PLoS One. 2023 Sep 8;18(9):e0291212. doi: 10.1371/journal.pone.0291212. eCollection 2023.
A multitude of diagnostic and predictive algorithms have been designed for COVID-19. However, currently no score can accurately quantify and track day-to-day disease severity in hospitalised patients with COVID-19. We aimed to design such a score to improve pathophysiological insight in COVID-19.
Development of the Severity of COronavirus Disease Assessment (SCODA) score was based on the 4C Mortality score but patient demographic variables that remain constant during admission were excluded. Instead, parameters associated with breathing and oxygenation were added to reflect the daily condition. The SCODA score was subsequently applied to the BEAT-COVID cohort to describe COVID-19 severity over time and to determine the timing of clinical recovery for each patient, an important marker in pathophysiological studies. The BEAT-COVID study included patients with PCR confirmed COVID-19 who were hospitalized between April 2020 and March 2021 in the Leiden University Medical Center, The Netherlands.
The SCODA score consists of 6 clinical and 2 routine lab parameters. 191 patients participated in the BEAT-COVID study. Median age was 66, and 74.4% was male. The modal timepoint at which recovery was clinically initiated occurred on days 8 and 24 since symptom onset for non-ICU and ICU-patients, respectively.
We developed a daily score which can be used to track disease severity of patients admitted due to COVID-19. This score is useful for improving insight in COVID-19 pathophysiology, its clinical course and to evaluate interventions. In a future stage this score can also be used in other (emerging) infectious respiratory diseases.
已经设计了许多用于 COVID-19 的诊断和预测算法。然而，目前尚无评分系统能够准确地量化和跟踪住院 COVID-19 患者的日常疾病严重程度。我们旨在设计这样一个评分系统，以提高对 COVID-19 的病理生理学认识。
Severity of COronavirus Disease Assessment（SCODA）评分的开发基于 4C 死亡率评分，但排除了住院期间保持不变的患者人口统计学变量。取而代之的是，添加了与呼吸和氧合相关的参数，以反映日常情况。随后将 SCODA 评分应用于 BEAT-COVID 队列，以描述 COVID-19 随时间的严重程度，并确定每位患者的临床康复时间，这是病理生理学研究中的一个重要标志。BEAT-COVID 研究包括 2020 年 4 月至 2021 年 3 月期间在荷兰莱顿大学医学中心住院的经 PCR 确诊的 COVID-19 患者。
SCODA 评分由 6 个临床和 2 个常规实验室参数组成。191 名患者参加了 BEAT-COVID 研究。中位年龄为 66 岁，74.4%为男性。非 ICU 和 ICU 患者分别在症状出现后第 8 天和第 24 天开始临床康复的时间点最为常见。
我们开发了一种日常评分系统，可用于跟踪因 COVID-19 住院的患者的疾病严重程度。该评分系统有助于提高对 COVID-19 病理生理学、临床过程以及评估干预措施的认识。在未来阶段，该评分系统也可用于其他（新发）传染性呼吸道疾病。
