Internal Medicine Department, Dr. Peset University Hospital, Universitat de València, Valencia, Spain.
Internal Medicine Department, Dr. Peset University Hospital, Avda Gaspar Aguilar, n 90, postal code, 46017, Valencia, Spain.
J Gen Intern Med. 2021 May;36(5):1338-1345. doi: 10.1007/s11606-021-06626-7. Epub 2021 Feb 11.
Identification of patients on admission to hospital with coronavirus infectious disease 2019 (COVID-19) pneumonia who can develop poor outcomes has not yet been comprehensively assessed.
To compare severity scores used for community-acquired pneumonia to identify high-risk patients with COVID-19 pneumonia.
PSI, CURB-65, qSOFA, and MuLBSTA, a new score for viral pneumonia, were calculated on admission to hospital to identify high-risk patients for in-hospital mortality, admission to an intensive care unit (ICU), or use of mechanical ventilation. Area under receiver operating characteristics curve (AUROC), sensitivity, and specificity for each score were determined and AUROC was compared among them.
Patients with COVID-19 pneumonia included in the SEMI-COVID-19 Network.
We examined 10,238 patients with COVID-19. Mean age of patients was 66.6 years and 57.9% were males. The most common comorbidities were as follows: hypertension (49.2%), diabetes (18.8%), and chronic obstructive pulmonary disease (12.8%). Acute respiratory distress syndrome (34.7%) and acute kidney injury (13.9%) were the most common complications. In-hospital mortality was 20.9%. PSI and CURB-65 showed the highest AUROC (0.835 and 0.825, respectively). qSOFA and MuLBSTA had a lower AUROC (0.728 and 0.715, respectively). qSOFA was the most specific score (specificity 95.7%) albeit its sensitivity was only 26.2%. PSI had the highest sensitivity (84.1%) and a specificity of 72.2%.
PSI and CURB-65, specific severity scores for pneumonia, were better than qSOFA and MuLBSTA at predicting mortality in patients with COVID-19 pneumonia. Additionally, qSOFA, the simplest score to perform, was the most specific albeit the least sensitive.
尚未全面评估哪些 2019 年冠状病毒病(COVID-19)肺炎入院患者可能出现不良结局。
比较用于社区获得性肺炎的严重程度评分,以识别 COVID-19 肺炎高危患者。
计算 PSI、CURB-65、qSOFA 和 MuLBSTA(一种新的病毒性肺炎评分),以识别因院内死亡率、入住重症监护病房(ICU)或需要机械通气而成为高危患者的评分。确定每个评分的受试者工作特征曲线(ROC)下面积(AUROC)、敏感性和特异性,并比较它们之间的 AUROC。
纳入 SEMI-COVID-19 网络的 COVID-19 肺炎患者。
我们检查了 10238 例 COVID-19 患者。患者的平均年龄为 66.6 岁,57.9%为男性。最常见的合并症如下:高血压(49.2%)、糖尿病(18.8%)和慢性阻塞性肺疾病(12.8%)。急性呼吸窘迫综合征(34.7%)和急性肾损伤(13.9%)是最常见的并发症。院内死亡率为 20.9%。PSI 和 CURB-65 的 AUROC 最高(分别为 0.835 和 0.825)。qSOFA 和 MuLBSTA 的 AUROC 较低(分别为 0.728 和 0.715)。qSOFA 是特异性最高的评分(特异性 95.7%),但其敏感性仅为 26.2%。PSI 的敏感性最高(84.1%),特异性为 72.2%。
PSI 和 CURB-65 是肺炎的特定严重程度评分,比 qSOFA 和 MuLBSTA 更能预测 COVID-19 肺炎患者的死亡率。此外,最简单的评分 qSOFA 特异性最高,但其敏感性最低。