医疗机构工作人员COVID-19重症临床形式发展的预后标准

Q4 Social Sciences
T. Platonova, T. Semenenko, A. .. Golubkova, E. Sisin, M. Sklyar, E. Karbovnichaya, S. Smirnova
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引用次数: 0

摘要

医疗机构的员工是感染新型冠状病毒感染(COVID-19)的危险群体之一,包括出现严重临床症状。本研究的目的是分析医务工作者新型冠状病毒感染的临床表现,并测定发展为重症COVID-19的实验室标志物。材料和方法。该研究包括186名在2020年感染COVID-19的医务工作者。67人(观察组)发病形式为肺炎,119人(对照组)发病形式为SARS-CoV-2所致急性呼吸道感染。在疾病的急性期,进行了实验室检查:一般临床血液检查,淋巴细胞亚群cd分型,生化参数评估,止血系统参数测定和细胞因子水平。采用二元logistic回归方法,建立了多因素模型。为了确定指标的阈值,我们采用ROC分析。使用Microsoft Office 2016和IBM SPSS Statistics (version 26)对资料进行统计处理。p<0.05认为差异有统计学意义。结果和讨论。新冠肺炎最常见的临床表现为:虚弱、发热、肌痛、关节痛、鼻呼吸困难、鼻浆液-粘液分泌物、喉咙痛、咳嗽、胸闷感、呼吸短促、头痛、眼球痛、头晕、嗅觉减退、听觉障碍以及腹泻、恶心或呕吐等消化不良表现。已确定与与COVID-19相关的严重肺炎发展相关的标志物。确定预测COVID-19严重病程的实验室参数阈值:血小板(小于239 × 109/l)、淋巴细胞(小于1.955 × 109/l)、细胞毒性t淋巴细胞(小于0.455 × 109/l)、t辅助细胞(小于0.855 × 109/l)、nk细胞(小于0.205 × 109/l)、ESR(大于11.5 mm/h)、LDH(大于196单位/l)、总蛋白(小于71.55 g/l)、d -二聚体(大于0.325 mcg/ml)、CRP(大于4.17 mg/l)、IL-6(大于3.63 pg/l)。结论。获得的数据使预测发生COVID-19病程严重变体的可能性成为可能。版权所有©2022传染病:新闻、观点、培训。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prognostic criteria for the development of severe clinical forms of COVID-19 in medical organization workers
Employees of medical organizations are one of the risk groups for infection with a new coronavirus infection (COVID-19), including with the development of severe clinical forms. The aim of the study was to analyze the clinical manifestations of a new coronavirus infection in medical workers with the determination of laboratory markers for the development of severe COVID-19. Material and methods. The study included 186 medical workers who had COVID-19 in 2020. In 67 people (observation group), the disease occurred in the form of pneumonia, in 119 people (comparison group) - acute respiratory infection caused by SARS-CoV-2. In the acute period of the disease, a laboratory examination was carried out: a general clinical blood test, CD-typing of lymphocyte subpopulations, assessment of biochemical parameters, determination of parameters of the hemostasis system and cytokine levels. Using the binary logistic regression method, we have built multifactor models. To determine the threshold values of the indicators, we used ROC analysis. Statistical processing of materials was carried out using Microsoft Office 2016 and IBM SPSS Statistics (version 26). The differences were considered statistically significant at p<0.05. Results and discussion. The most frequent clinical manifestations of COVID-19 were: weakness, fever, myalgia, arthralgia, difficulty in nasal breathing, serous-mucous discharge from the nose, sore throat, cough, feeling of "tightness" in the chest, shortness of breath, headache, pain in the eyeballs, dizziness, anosmia, ageusia and dyspeptic manifestations in the form of diarrhea, nausea or vomiting. Markers associated with the development of severe pneumonia associated with COVID-19 have been identified. Threshold values of laboratory parameters for predicting the severe course of COVID-19 were determined: the number of platelets (less than 239x109/l), lymphocytes (less than 1.955x109/l), cytotoxic T-lymphocytes (less than 0.455x109/l), T-helper cells (less than 0.855x109/l), NK-cells (less than 0.205x109/l), ESR (more than 11.5 mm/h), LDH (more than 196 units/l), total protein (less than 71.55 g/l), D-dimer (more than 0.325 mcg/ml), CRP (more than 4.17 mg/l), IL-6 (more than 3.63 pg/l). Conclusion. The data obtained make it possible to predict the possibility of developing a severe variant of the COVID-19 course.Copyright © 2022 Infectious Diseases: News, Opinions, Training. All rights reserved.
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