Novel Insights into CKMB, Myoglobin, and Troponin I Levels as Predictors of COVID-19 Severity and Hospitalization Outcomes.

IF 3.9 3区 工程技术 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Aida-Isabela Adamescu, Cătălin Tilișcan, Laurențiu Mihăiță Stratan, Nicoleta Mihai, Oana-Alexandra Ganea, Sebastian Ciobanu, Adrian Gabriel Marinescu, Victoria Aramă, Ștefan Sorin Aramă
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引用次数: 0

Abstract

Background: COVID-19 has largely become an endemic disease in many regions, with sporadic outbreaks, with some areas where the disease shows a seasonal pattern like the influenza virus. The focus has shifted towards managing mild and moderate forms of disease through outpatient care, aiming to prevent healthcare system overload. Consequently, identifying markers that could be used in stratifying the risk and the prognostic assessment has become crucial. Cardiovascular implications of COVID-19 are a critical area of research due to their significant impact on disease severity, mortality, and morbidity. Methods: We conducted a retrospective, observational study and included 472 patients, diagnosed with COVID-19, all of whom were admitted to Prof. Dr. Matei Bals National Institute of Infectious Disease, Bucharest, Romania. Levels of cardiac biomarkers like creatine kinase (CK), creatine kinase-myocardial band (CKMB), myoglobin, troponins, and NT-pro-BNP were measured and analyzed in relation to clinical presentation and outcomes. Results: We combined CKMB, myoglobin, and troponin I to predict hospital length of stay (LOS). Our model significantly predicted LOS (F = 12.537, p = 0.0001), with higher levels associated with prolonged stays (β = 0.166, p = 0.000). Logistic regression demonstrated that the combination of elevated CKMB and myoglobin levels significantly increased the odds of a longer LOS (OR = 1.679, p = 0.000). Furthermore, we found significant correlations with acute respiratory failure (p = 0.001), severe forms of disease (p = 0.000), and the development of complications during hospitalization (p = 0.027). Conclusions: These findings emphasize the value of combining cardiac biomarkers to stratify risk and predict hospital outcomes in COVID-19 patients. Routine cardiac monitoring and targeted management strategies could decrease the risk of complications, reducing the LOS. Our findings highlight the potential of cardiac biomarkers as prognostic tools to stratify risk, guide clinical interventions, and improve outcomes in COVID-19 patients.

背景:在许多地区,COVID-19 已基本成为一种地方性疾病,时有爆发,有些地区的疾病则像流感病毒一样呈现季节性模式。目前的重点已转向通过门诊治疗来控制轻度和中度疾病,以防止医疗系统超负荷运转。因此,确定可用于风险分层和预后评估的标志物变得至关重要。COVID-19 对心血管的影响是一个关键的研究领域,因为它们对疾病的严重程度、死亡率和发病率有重大影响。研究方法我们进行了一项回顾性观察研究,纳入了 472 名确诊为 COVID-19 的患者,他们都住在罗马尼亚布加勒斯特 Matei Bals 教授博士国立传染病研究所。研究人员测量了心脏生物标志物的水平,如肌酸激酶(CK)、肌酸激酶-心肌带(CKMB)、肌红蛋白、肌钙蛋白和NT-pro-BNP,并分析了这些标志物与临床表现和预后的关系。结果:我们结合 CKMB、肌红蛋白和肌钙蛋白 I 预测住院时间(LOS)。我们的模型能明显预测住院时间(F = 12.537,p = 0.0001),较高水平与住院时间延长相关(β = 0.166,p = 0.000)。逻辑回归表明,CKMB 和肌红蛋白水平同时升高会显著增加住院时间延长的几率(OR = 1.679,p = 0.000)。此外,我们还发现急性呼吸衰竭(p = 0.001)、严重疾病(p = 0.000)和住院期间出现并发症(p = 0.027)之间存在明显的相关性。结论这些发现强调了结合心脏生物标记物对 COVID-19 患者进行风险分层和住院预后预测的价值。常规心脏监测和有针对性的管理策略可降低并发症风险,缩短住院时间。我们的研究结果凸显了心脏生物标记物作为预后工具的潜力,可用于对 COVID-19 患者进行风险分层、指导临床干预和改善预后。
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
Biomedicines
Biomedicines Biochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
5.20
自引率
8.50%
发文量
2823
审稿时长
8 weeks
期刊介绍: Biomedicines (ISSN 2227-9059; CODEN: BIOMID) is an international, scientific, open access journal on biomedicines published quarterly online by MDPI.
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