Predictors of an unfavorable course of COVID-19

Q4 Biochemistry, Genetics and Molecular Biology
V. Polyakov, Y. Nikolaev, Zh. A. Garina, I. Mitrofanov, E. Sevostyanova
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Abstract

The aim of the study was to identify the features of the unfavorable clinical course of a new coronavirus infection.Material and methods. The analysis of clinical data, laboratory results and comorbidity of 168 patients with a confirmed diagnosis of a new coronavirus infection aged 65,0 [57,0; 74,0] years was carried out. Two groups of patients were distinguished – 126 persons with a moderate course and with clinical recovery in the outcome of the disease and 42 persons with a severe course and a fatal outcome of the disease. Transnosological polymorbidity was assessed by the average number of nosologies corresponding to the three-digit ICD-10 rubricification, transsystemic – by the number of affected systems. Hemogram parameters, blood content of C-reactive protein, creatinine, urea, glucose, prothrombin index, international normalized ratio, activated partial thromboplastin time, platelet count, D-dimer concentration were estimated.Results. In the group of patients with fatal outcomes, compared to patients with recovery, there were statistically significantly higher indices of transnosological and transsystemic polymorbidity (1.5 and 2 times, respectively), they were more likely to have ischaemic heart disease, myocardial infarction, transient ischemic attack in anamnesis, atrial fibrillation, chronic heart failure; blood concentration of C-reactive protein, fasting glucose, urea, D-dimer in the blood serum was higher, the number of thrombocytes was less.Conclusions. A high degree of transnosological and transsystemic polymorbidity, a history of myocardial infarction and transient ischemic attack, comorbid chronic heart failure, atrial fibrillation, an increase in D-dimer, CRP content, and a decrease in platelet number are predictors of severe course and the lethal outcome of COVID-19.
新冠肺炎不利进程的预测因素
这项研究的目的是确定新型冠状病毒感染的不利临床过程的特征。材料和方法。对168名确诊为新型冠状病毒感染的患者的临床数据、实验室结果和合并症进行了分析,这些患者年龄为65岁[57岁;74岁]。区分了两组患者——126名患者的病程为中度并在疾病结果中临床康复,42名患者的病情为重度并在疾病结局中死亡。通过与三位数ICD-10分类相对应的疾病学的平均数量来评估跨系统多发病率,通过受影响系统的数量来评估。估计血象参数、血液中C反应蛋白、肌酐、尿素、葡萄糖、凝血酶原指数、国际标准化比值、活化部分凝血活酶时间、血小板计数、D-二聚体浓度。后果在有致命结局的患者组中,与康复患者相比,跨疾病和跨系统多发病指数在统计学上显著更高(分别为1.5和2倍),他们更有可能患缺血性心脏病、心肌梗死、记忆中的短暂性脑缺血发作、房颤、慢性心力衰竭;血中C反应蛋白、空腹血糖、尿素、D-二聚体浓度较高,血小板数量较少。结论。高度的跨疾病和跨系统多发病、心肌梗死和短暂性脑缺血发作史、合并慢性心力衰竭、心房颤动、D-二聚体、CRP含量增加和血小板数量减少是新冠肺炎严重病程和致命结局的预测因素。
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
0.40
自引率
0.00%
发文量
54
审稿时长
12 weeks
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