Plasma brain natriuretic peptide, D-Dimer, and serum troponin-I as predictors for in-hospital death in patients with COVID-19.

Q3 Medicine
A. Mahmoud, Heba A Abd El-Hafeez, Areej O Ali, A. Hassan, M. I. Seddik
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Abstract

The severe acute respiratory syndrome coronavirus 2, first appeared in Wuhan, China, in December 2019. Since then, a variety of strains of the virus were spread throughout the world, prompting the World Health Organization to declare a pandemic in March 2020. Additionally, Coronavirus disease 2019 (COVID-19) can cause a variety of symptoms, ranging from fatigue and fever to severe respiratory and cardiovascular complications. This study evaluated the role of brain natriuretic peptide (BNP), troponin-I and D-dimer as biomarkers for death prediction in hospitalized patients with COVID-19. The study included 90 patients with COVID -19 diagnosed with PCR-RNA testing. They were divided into survivors and non-survivors. Also, 20 apparently healthy individuals age and sex matched were included as a control group. Plasma BNP and serum troponin-I were measured by enzyme linked immune-sorbent assay (ELISA) technique. D-dimer was measured by a turbidimetric technique. Patients with COVID-19 had significantly elevated levels of serum Troponin-I and plasma BNP in comparison to controls (p < 0.0001, for both). D-dimer, troponin-I and BNP levels were significantly higher in the non-survivors group when compared to the survivors group. Troponin-1 can predict COVID-19 severity with sensitivity, specificity, and accuracy of 55.1%, 66.7%, and 57.8%, respectively at a cutoff value of 0.075 (ng /ml); and area under the receiver operating characteristic (AUC) curve of 0.670 (95% CI: 0.551 - 0.790, p=0.018). BNP can predict COVID-19 severity with sensitivity, specificity, and accuracy of 98.6%, 71.4%, 92.2%, respectively at a cutoff value of 16.02 (Pg /ml) and AUC of 0.872 (95% CI: 0.778 - 0.965, p < 0.001). Univariate and multivariate logistic regression analysis showed that only BNP level can significantly predict death among COVID-19 infected patients. In conclusion, plasma BNP and serum troponin-I could be used as prognostic biomarkers for determination of the severity of COVID-19 and BNP could predict mortality.
血浆脑钠肽、d -二聚体和血清肌钙蛋白-1作为COVID-19患者住院死亡的预测因子
2019年12月,严重急性呼吸综合征冠状病毒首次出现在中国武汉。从那时起,各种病毒株在世界各地传播,促使世界卫生组织于2020年3月宣布大流行。此外,2019冠状病毒病(COVID-19)可引起各种症状,从疲劳和发烧到严重的呼吸和心血管并发症。本研究评估了脑钠肽(BNP)、肌钙蛋白-1和d -二聚体作为生物标志物在COVID-19住院患者死亡预测中的作用。该研究包括90名通过PCR-RNA检测诊断为COVID -19的患者。他们被分为幸存者和非幸存者。另外,20名年龄和性别相匹配的健康个体作为对照组。采用酶联免疫吸附法(ELISA)检测血浆BNP和血清肌钙蛋白i。用浊度法测定d -二聚体。与对照组相比,COVID-19患者血清肌钙蛋白-1和血浆BNP水平显著升高(p < 0.0001)。与幸存者组相比,非幸存者组的d -二聚体、肌钙蛋白- i和BNP水平明显更高。肌钙蛋白-1预测COVID-19严重程度的敏感性、特异性和准确性分别为55.1%、66.7%和57.8%,临界值为0.075 (ng /ml);受试者工作特征(AUC)曲线下面积为0.670 (95% CI: 0.551 ~ 0.790, p=0.018)。BNP预测COVID-19严重程度的敏感性、特异性和准确性分别为98.6%、71.4%和92.2%,临界值为16.02 (Pg /ml), AUC为0.872 (95% CI: 0.778 ~ 0.965, p < 0.001)。单因素和多因素logistic回归分析显示,只有BNP水平能显著预测COVID-19感染患者的死亡。综上所述,血浆BNP和血清肌钙蛋白-1可作为判断COVID-19严重程度的预后生物标志物,BNP可预测死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.20
自引率
0.00%
发文量
52
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