National Centre for Infectious Diseases, Singapore 308442, Singapore.
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore.
Viruses. 2024 Oct 12;16(10):1604. doi: 10.3390/v16101604.
The ISARIC 4C Mortality score was developed to predict mortality risk among patients with COVID-19. Its performance among vaccinated individuals is understudied. This is a retrospective study of all patients with SARS-CoV-2 infection admitted to the National Centre for Infectious Diseases, Singapore, from January-2020 to December-2021. Demographic, clinical, and laboratory data were extracted, and multiple logistic regression (MLR) models were developed to predict the relationship between ISARIC score, vaccination status, anti-S antibody titre, and severe COVID-19. A total of 6377 patients were identified, of which 5329 met the study eligibility criteria. The median age of the patients was 47 years (IQR 35-71), 1264 (23.7%) were female, and 1239 (25.7%) were vaccinated. Severe disease occurred in 499 (9.4%) patients, including 133 (2.5%) deaths. After stratification, 3.0% of patients with low (0-4), 17.8% of patients with moderate (5-9), and 36.2% of patients with high (≥10) ISARIC scores developed severe COVID-19. Vaccination was associated with a reduced risk of progression to severe COVID-19 in the MLR model: aOR 0.88 (95% CI: 0.86-0.90), and the risk of severe COVID-19 decreased inversely to anti-S antibody titres. The anti-S antibody titre should be further investigated as an adjunct to the ISARIC score to triage COVID-19 patients for hospital admission and antiviral therapy.
ISARIC 4C 死亡率评分旨在预测 COVID-19 患者的死亡风险。该评分在接种疫苗人群中的表现尚未得到充分研究。这是一项回顾性研究,纳入了 2020 年 1 月至 2021 年 12 月期间因 SARS-CoV-2 感染而入住新加坡国家传染病中心的所有患者。提取了人口统计学、临床和实验室数据,并建立了多项逻辑回归(MLR)模型,以预测 ISARIC 评分、疫苗接种状态、抗-S 抗体滴度与严重 COVID-19 之间的关系。共确定了 6377 例患者,其中 5329 例符合研究入选标准。患者的中位年龄为 47 岁(IQR 35-71),1264 例(23.7%)为女性,1239 例(25.7%)接种了疫苗。499 例(9.4%)患者发生严重疾病,包括 133 例(2.5%)死亡。分层后,低(0-4)ISARIC 评分的患者中 3.0%、中(5-9)评分的患者中 17.8%、高(≥10)评分的患者中 36.2%发生严重 COVID-19。MLR 模型显示,接种疫苗与严重 COVID-19 进展风险降低相关:比值比(aOR)为 0.88(95%CI:0.86-0.90),抗-S 抗体滴度与严重 COVID-19 风险呈反比。应进一步研究抗-S 抗体滴度作为 ISARIC 评分的辅助手段,以对 COVID-19 患者进行分诊,决定是否住院和接受抗病毒治疗。