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C 反应蛋白与白蛋白比值对住院重症 COVID-19 患者的早期预警诊断价值。

Diagnostic utility of C-reactive protein to albumin ratio as an early warning sign in hospitalized severe COVID-19 patients.

机构信息

University of Health Sciences, Tepecik Training and Research Hospital, Department of Medical Biochemistry, Izmir, Turkey.

University of Health Sciences, Tepecik Training and Research Hospital, Department of Medical Biochemistry, Izmir, Turkey.

出版信息

Int Immunopharmacol. 2021 Feb;91:107285. doi: 10.1016/j.intimp.2020.107285. Epub 2020 Dec 11.

Abstract

C-reactive protein-to-albumin ratio (CAR) has been used as an indicator of prognosis in various diseases. Here, we intended to assess the CAR's diagnostic power in early differentiation of hospitalized severe COVID-19 cases. In this retrospectively designed study, we evaluated 197 patients in total. They were divided into two groups based on their severity of COVID-19 as non-severe (n = 113) and severe (n = 84). The comparison of groups' demographic data, comorbidities, clinical symptoms, and laboratory test results were done. Laboratory data of the patients within the first 24 h after admission to the hospital were evaluated. The calculation of receiver operating characteristic (ROC) curve was used to determine the diagnostic power of CAR in differentiating severity of COVID-19. Independent risk factors predictive of COVID-19 severity were determined by using logistic regression analysis. Although lymphocyte count levels were lower, severe COVID-19 patients had higher mean age, higher levels of neutrophil count, CRP, aspartate aminotransferase (AST), ferritin, and prothrombin time (P < 0.05). Compared with non-severe patients (median, 0.23 [IQR = 0.07-1.56]), patients with severe COVID-19 had higher CAR levels (median, 1.66 [IQR = 0.50-3.35]; P < 0.001). Age (OR = 1.046, P = 0.003), CAR (OR = 1.264, P = 0.037), and AST (OR = 1.029, P = 0.037) were independent risk factors for severe COVID-19 based on the multivariate logistic regression analysis. ROC curve analysis assigned 0.9 as the cut-off value for CAR for differentiation of severe COVID-19 (area under the curve = 0.718, 69.1% sensitivity, 70.8% specificity, P < 0.001). CAR is a useful marker in early differentiation of severity in patients hospitalized due to COVID-19 that have longer hospital stay and higher mortality.

摘要

C 反应蛋白与白蛋白比值(CAR)已被用作各种疾病预后的指标。在这里,我们旨在评估 CAR 在早期区分住院严重 COVID-19 病例中的诊断能力。在这项回顾性设计的研究中,我们总共评估了 197 名患者。根据 COVID-19 的严重程度将他们分为两组,非重症组(n=113)和重症组(n=84)。比较了两组的人口统计学数据、合并症、临床症状和实验室检查结果。评估了患者入院后 24 小时内的实验室数据。使用接收者操作特征(ROC)曲线计算来确定 CAR 在区分 COVID-19 严重程度方面的诊断能力。使用逻辑回归分析确定预测 COVID-19 严重程度的独立危险因素。尽管淋巴细胞计数水平较低,但重症 COVID-19 患者的平均年龄较高,中性粒细胞计数、C 反应蛋白、天门冬氨酸转氨酶(AST)、铁蛋白和凝血酶原时间较高(P<0.05)。与非重症患者(中位数,0.23 [IQR=0.07-1.56])相比,重症 COVID-19 患者的 CAR 水平更高(中位数,1.66 [IQR=0.50-3.35];P<0.001)。基于多变量逻辑回归分析,年龄(OR=1.046,P=0.003)、CAR(OR=1.264,P=0.037)和 AST(OR=1.029,P=0.037)是重症 COVID-19 的独立危险因素。ROC 曲线分析将 CAR 的 0.9 作为区分严重 COVID-19 的截断值(曲线下面积=0.718,69.1%敏感性,70.8%特异性,P<0.001)。CAR 是区分因 COVID-19 住院患者严重程度的有用标志物,这些患者住院时间更长,死亡率更高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f9/7833970/803c8f7b7e12/gr1_lrg.jpg

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