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肺炎严重指数可预测 2019 冠状病毒疾病患者的预后。

Pneumonia severity indices predict prognosis in coronavirus disease-2019.

机构信息

Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey.

Department of Pulmonary Diseases, Dokuz Eylul University Faculty of Medicine, Izmir, Turkey.

出版信息

Respir Med Res. 2021 May;79:100826. doi: 10.1016/j.resmer.2021.100826. Epub 2021 Apr 27.

Abstract

BACKGROUND

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.

OBJECTIVES

We aimed to determine the predictive properties of common community-acquired pneumonia (CAP) severity scores and COVID-19 specific indices.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

背景

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。

目的

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。

方法

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。

结果

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。

结论

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。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/863a/8078040/a35100c4fe75/gr1_lrg.jpg

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