Centre for Rheumatic Disease, King's College London, London, United Kingdom.
Centre for Rheumatic Disease, King's College London, London, United Kingdom.
J Infect. 2020 Aug;81(2):282-288. doi: 10.1016/j.jinf.2020.05.064. Epub 2020 May 29.
The COVID-19 pandemic continues to escalate. There is urgent need to stratify patients. Understanding risk of deterioration will assist in admission and discharge decisions, and help selection for clinical studies to indicate where risk of therapy-related complications is justified.
An observational cohort of patients acutely admitted to two London hospitals with COVID-19 and positive SARS-CoV-2 swab results was assessed. Demographic details, clinical data, comorbidities, blood parameters and chest radiograph severity scores were collected from electronic health records. Endpoints assessed were critical care admission and death. A risk score was developed to predict outcomes.
Analyses included 1,157 patients. Older age, male sex, comorbidities, respiratory rate, oxygenation, radiographic severity, higher neutrophils, higher CRP and lower albumin at presentation predicted critical care admission and mortality. Non-white ethnicity predicted critical care admission but not death. Social deprivation was not predictive of outcome. A risk score was developed incorporating twelve characteristics: age>40, male, non-white ethnicity, oxygen saturations<93%, radiological severity score>3, neutrophil count>8.0 x10/L, CRP>40 mg/L, albumin<34 g/L, creatinine>100 µmol/L, diabetes mellitus, hypertension and chronic lung disease. Risk scores of 4 or higher corresponded to a 28-day cumulative incidence of critical care admission or death of 40.7% (95% CI: 37.1 to 44.4), versus 12.4% (95% CI: 8.2 to 16.7) for scores less than 4.
Our study identified predictors of critical care admission and death in people admitted to hospital with COVID-19. These predictors were incorporated into a risk score that will inform clinical care and stratify patients for clinical trials.
COVID-19 大流行仍在升级。需要对患者进行分层。了解病情恶化的风险有助于做出入院和出院决策,并有助于选择临床研究,以表明治疗相关并发症风险的合理性。
评估了 2 家伦敦医院因 COVID-19 住院且 SARS-CoV-2 拭子检测结果为阳性的急性患者的观察性队列。从电子健康记录中收集人口统计学详细信息、临床数据、合并症、血液参数和胸部 X 线严重程度评分。评估的终点为入住重症监护病房和死亡。制定了风险评分以预测结局。
分析包括 1157 例患者。年龄较大、男性、合并症、呼吸频率、氧合、放射学严重程度、较高的中性粒细胞、较高的 CRP 和较低的白蛋白在就诊时预测入住重症监护病房和死亡。非白种人预测入住重症监护病房,但不预测死亡。社会贫困程度与结局无关。开发了一个风险评分,纳入了 12 个特征:年龄>40 岁、男性、非白种人、氧饱和度<93%、放射学严重程度评分>3、中性粒细胞计数>8.0 x10/L、CRP>40mg/L、白蛋白<34g/L、肌酐>100µmol/L、糖尿病、高血压和慢性肺病。评分>4 与 28 天内入住重症监护病房或死亡的累积发生率为 40.7%(95%CI:37.1 至 44.4)相关,而评分<4 时的累积发生率为 12.4%(95%CI:8.2 至 16.7)。
我们的研究确定了因 COVID-19 住院患者入住重症监护病房和死亡的预测因素。这些预测因素被纳入风险评分,以指导临床护理并对患者进行临床试验分层。