基于人群的2019冠状病毒病(COVID-19)医院治疗效果评估

S. A. Orlov, R. Gorenkov, D.A. Lisovskiy, T. Klokova
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引用次数: 0

摘要

目标。评估2020年1月31日至2021年6月10日期间2019冠状病毒病(COVID-19)患者平均住院时间(LOH)和治疗结果的影响因素。材料和方法。我们分析了COVID-19患者的专科医疗护理结果。选取影响治疗结果的医学、性别和先天性因素进行分析。随访单位是一个记录COVID-19患者数据的记录。根据俄罗斯联邦政府2020年3月31日第373号法令“关于批准信息记录暂行规则,以防止新型冠状病毒感染(COVID-19)的传播”,我们从联邦COVID-19患者登记册中收集了数据。结果。一项对联邦COVID-19患者登记册数据的回顾性队列研究,涉及300多万患者(男性40.7%,女性59.3%),结果显示,60-64岁、55-59岁和35-39岁的男性以及60-64岁、55-59岁和50-54岁的女性发病率最高。年龄与LOH无显著相关(男性线性相关系数为0.021 (p<0.05),女性线性相关系数为0.0124 (p<0.05))。所有年龄组的加权平均LOH男性为14.7天(标准差(SD) 5.6天),女性为15.7天(SD 5.2天)。与无合并症或并发症的病程相比,37种潜在疾病的合并症/并发症使严重和极严重cov -19患者的LOH预后恶化。分析COVID-19严重程度对死亡率的影响显示,这些指标之间存在强烈的直接关系(男性的r-Pearson为0.830 (p<0.0001),女性为0.799 (p<0.0001)。中度感染患者的死亡率是轻度感染患者的89.4倍。重症患者的死亡率是中度重症患者的20.5倍。极严重感染患者死于COVID-19的风险比重症患者高11.3%。结论。我们的按性别和年龄区分的平均LOH数据,以及该指标与COVID-19合并症和严重程度的比较,可用于随机患者流的医院工作量建模,其参数与本研究分析的患者数据相当。©2022,Media Sphera出版集团。版权所有。
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Population-based assessment of coronavirus disease 2019 (COVID-19) hospital treatment outcomes
Objective. To assess the factors influencing mean length of hospitalisation (LOH) and treatment outcomes in patients with coro-navirus disease 2019 (COVID-19) between January 31, 2020 and June 10, 2021. Material and methods. We analyzed the results of specialized medical care in patients with COVID-19. Medical, gender and anam-nestic factors influencing treatment outcomes were chosen for analysis. The follow-up unit was a record with data about a patient with COVID-19. We harvested data from the Federal Register of Persons with COVID-19 developed in accordance with the De-cree of the Government of the Russian Federation dated March 31, 2020 No. 373 “On Approval of Interim Rules for Recording Information in order to Prevent the Spread of a New Coronavirus Infection (COVID-19)». Results. A retrospective cohort study of data from the Federal Register of patients with COVID-19 involving more than 3 million patients (40.7% men and 59.3% women) revealed the highest incidence of disease in men aged 60-64, 55-59 and 35-39 years, as well as in women aged 60-64, 55-59 and 50-54 years. There was no significant correlation between age and LOH (linear correlation coefficient (r-Pearson) for men 0.021 (p<0.05), for women 0.0124 (p<0.05)). Weighted mean LOH in all age groups was 14.7 days for men (standard deviation (SD) 5.6 days) and 15.7 days for women (SD 5.2 days). Thirty-seven comorbidities/ complications of the underlying disease worsened prognosis regarding LOH in patients with severe and extremely severe COV-ID-19 compared to course of disease without comorbidities or complications. Analysis of impact of COVID-19 severity on mortality revealed strong direct relationship between these signs (r-Pearson for men 0.830 (p<0.0001), for women 0.799 (p<0.0001). Patients with moderate COVID-19 died 89.4 times more often compared to those with mild infection. Severe patients died 20.5 times more often compared to patients with moderate severity of disease. Risk of mortality from COVID-19 is 11.3% higher in patients with extremely severe infection than in patients with severe disease. Conclusion. Our data on mean LOH differentiated by sex and age, as well as comparison of this indicator with comorbidities and severity of COVID-19, can be used for modeling of hospital workload for a stochastic flow of patients whose parameters are com-parable with data of patients analyzed in this study. © 2022, Media Sphera Publishing Group. All rights reserved.
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