ACUTE CORONARY SYNDROME AND CORONAVIRUS INFECTION: THE INTERSECTION OF TWO PANDEMICS

Lozhkina N.G., Gushchina O.I., Voskoboynikov Y. E.
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Abstract

Вackground Acute coronary events (ACEs) in combination with SARS-COV 2 infection have their own distinctive features that determine the dynamics of the disease and differences in therapy. Since at present there are no generally recognized algorithms for the management of such patients, there is a need to search for approaches to determine the risk of adverse outcomes of this disease phenotype. Aim of the study. To study the peculiarities of clinical course and to build a prognostic model of lethal outcomes risk in patients with ACS combined with SARS-COV 2 infection at the hospital stage Characteristics of patients and methods of research. The study included 225 patients admitted to a regional vascular center with a diagnosis of ACS who had a verified diagnosis of SARS-Cov 2 infection. Initially, 120 general clinical, biochemical and instrumental parameters were evaluated. Results and Conclusion. A predictive model was constructed with the identification of eight variables most influencing outcomes: age, the presence of atrial fibrillation (except for the first time detected in ACS), severe and extremely severe course of SARS-COV 2 infection, AKI, CKD, ferritin, albumin and glycemia in blood serum on admission. Conclusion. The proposed author's approach for assessing the risk of death in acute coronary syndrome in combination with SARS-CoV 2 has good predictive accuracy and is easy to use.
急性冠状动脉综合征和冠状病毒感染:两大流行病的交汇点
В 背景 合并感染 SARS-COV 2 的急性冠状动脉事件(ACEs)有其独特的特征,这些特征决定了疾病的动态发展和治疗方法的差异。由于目前还没有公认的治疗此类患者的算法,因此有必要寻找确定这种疾病表型不良后果风险的方法。研究患者特征和研究方法。该研究纳入了 225 名被确诊为 ACS 的地区血管中心住院患者,这些患者均被确诊为 SARS-Cov 2 感染。初步评估了 120 项一般临床、生化和仪器参数。构建了一个预测模型,确定了对结果影响最大的八个变量:年龄、是否存在心房颤动(在 ACS 中首次发现的除外)、SARS-COV 2 感染的严重和极严重病程、AKI、CKD、铁蛋白、白蛋白和入院时血清中的血糖。作者提出的评估急性冠状动脉综合征合并 SARS-CoV 2 死亡风险的方法具有良好的预测准确性,且易于使用。
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