Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey.
Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey.
Respir Med Res. 2021 May;79:100826. doi: 10.1016/j.resmer.2021.100826. Epub 2021 Apr 27.
Early recognition of the severe illness is critical in coronavirus disease-19 (COVID-19) to provide best care and optimize the use of limited resources.
We aimed to determine the predictive properties of common community-acquired pneumonia (CAP) severity scores and COVID-19 specific indices.
In this retrospective cohort, COVID-19 patients hospitalized in a teaching hospital between 18 March-20 May 2020 were included. Demographic, clinical, and laboratory characteristics related to severity and mortality were measured and CURB-65, PSI, A-DROP, CALL, and COVID-GRAM scores were calculated as defined previously in the literature. Progression to severe disease and in-hospital/overall mortality during the follow-up of the patients were determined from electronic records. Kaplan-Meier, log-rank test, and Cox proportional hazard regression model was used. The discrimination capability of pneumonia severity indices was evaluated by receiver-operating-characteristic (ROC) analysis.
Two hundred ninety-eight patients were included in the study. Sixty-two patients (20.8%) presented with severe COVID-19 while thirty-one (10.4%) developed severe COVID-19 at any time from the admission. In-hospital mortality was 39 (13.1%) while the overall mortality was 44 (14.8%). The mortality in low-risk groups that were identified to manage outside the hospital was 0 in CALL Class A, 1.67% in PSI low risk, and 2.68% in CURB-65 low-risk. However, the AUCs for the mortality prediction in COVID-19 were 0.875, 0.873, 0.859, 0.855, and 0.828 for A-DROP, PSI, CURB-65, COVID-GRAM, and CALL scores respectively. The AUCs for the prediction of progression to severe disease was 0.739, 0.711, 0,697, 0.673, and 0.668 for CURB-65, CALL, PSI, COVID-GRAM, A-DROP respectively. The hazard ratios (HR) for the tested pneumonia severity indices demonstrated that A-DROP and CURB-65 scores had the strongest association with mortality, and PSI, and COVID-GRAM scores predicted mortality independent from age and comorbidity.
Community-acquired pneumonia (CAP) scores can predict in COVID-19. The indices proposed specifically to COVID-19 work less than nonspecific scoring systems surprisingly. The CALL score may be used to decide outpatient management in COVID-19.
在新冠病毒病(COVID-19)中,早期识别重症至关重要,以便提供最佳护理并优化有限资源的利用。
我们旨在确定常见社区获得性肺炎(CAP)严重程度评分和 COVID-19 特定指标的预测特性。
在这项回顾性队列研究中,纳入了 2020 年 3 月 18 日至 5 月 20 日期间在一所教学医院住院的 COVID-19 患者。测量了与严重程度和死亡率相关的人口统计学、临床和实验室特征,并按照文献中的定义计算了 CURB-65、PSI、A-DROP、CALL 和 COVID-GRAM 评分。从电子病历中确定了患者随访期间病情进展为重症和院内/总体死亡率。使用 Kaplan-Meier、对数秩检验和 Cox 比例风险回归模型。通过接收者操作特征(ROC)分析评估肺炎严重程度指数的鉴别能力。
共纳入 298 例患者。62 例(20.8%)患者表现为严重 COVID-19,31 例(10.4%)患者在入院后任何时间发展为严重 COVID-19。院内死亡率为 39 例(13.1%),总死亡率为 44 例(14.8%)。在 CALL 分级 A 中,低危组患者管理在院外的死亡率为 0%,PSI 低危组为 1.67%,CURB-65 低危组为 2.68%。然而,COVID-19 患者死亡率预测的 AUC 分别为 A-DROP、PSI、CURB-65、COVID-GRAM 和 CALL 评分的 0.875、0.873、0.859、0.855 和 0.828。病情进展为重症的预测 AUC 分别为 CURB-65、CALL、PSI、COVID-GRAM、A-DROP 的 0.739、0.711、0、0.697、0.673 和 0.668。经测试的肺炎严重程度指数的危险比(HR)表明,A-DROP 和 CURB-65 评分与死亡率的关联最强,PSI 和 COVID-GRAM 评分独立于年龄和合并症预测死亡率。
社区获得性肺炎(CAP)评分可预测 COVID-19。专门针对 COVID-19 的指数令人惊讶地不如非特异性评分系统有效。CALL 评分可用于决定 COVID-19 的门诊管理。