Analysis of In-Hospital Mortality of Patients with New Coronavirus Infection (COVID-19) of Clinical Centre of Sechenov University

Author:

Fomin Viktor V.ORCID,Royuk Valeriy V.ORCID,Reshetnikov Vladimir A.ORCID,Volkova Ol’ga S.ORCID,Korshever Natan G.ORCID,Kozlov Vasiliy V.ORCID

Abstract

INTRODUCTION: The epidemic of a new coronavirus infection (COVID-19) required a restructure of the entire healthcare system of the Russian Federation within a limited period of time. Here, the mortality of patients is the most important effective parameter that reflects successfulness of organization measures for improvement of the activity of medical institutions. The initial preparedness of the infrastructure permitted to rapidly deploy a hospital on the base of the Clinical Centre of Sechenov University for providing medical assistance to patients with COVID-19. AIM: To analyze the in-hospital mortality of patients with COVID-19 at the Clinical Center of Sechenov University. MATERIALS AND METHODS: The COVID-19 database (n = 19 230) of the Clinical Centre of Sechenov University for 20202022 was analyzed. RESULTS: The overall in-hospital mortality in COVID-19 hospitals of the Clinical Centre of Sechenov University was 8.5%, which is the lower level compared to the data of foreign studies (Italy, Spain, Great Britain, USA, Iran). The main predictors of mortality are: basic male gender, age (mainly 75 years); existence of malignant neoplasms, diseases of the nervous system, diseases of the cardiovascular system, diseases of the endocrine system in patients; diseases occurring in the course of hospital treatment artificial lung ventilation, past surgical interventions. CONCLUSION: The working experience of the Clinical Center of Sechenov University shows a possibility for quick salvation of organizational tasks facing the healthcare system in the period of COVID-19 pandemic, with the results characterized by low lethality of hospitalized patients.

Publisher

ECO-Vector LLC

Subject

General Medicine

Reference14 articles.

1. Glybochko PV, Svistunov AA, Fomin VV, et al. Rol’ klinik Sechenovskogo Universiteta v okazanii pomoshchi patsiyentam s novoy koronavirusnoy infektsiyey (COVID-19). National Health Care (Russia). 2020;1(1):23–7. (In Russ).

2. Risk factors for the early development of septic shock in patients with severe COVID-19

3. Organizing the medical care for the COVID-19 patients in non-infectious Moscow hospital: reassignment experience

4. Order of the Ministry of Health of the Russian Federation dated on 19 March, 2020 No. 198n «O vremennom poryadke organizatsii raboty meditsinskikh organizatsiy v tselyakh realizatsii mer po profilaktike i snizheniyu riskov rasprostraneniya novoy koronavirusnoy infektsii COVID-19». Available at: https://docs.cntd.ru/document/564482310. Accessed: 2023 August 31. (In Russ).

5. Guskova ON, Dominikan IE, Volodko SN. Mortality, hospital mortality statistics and tanatological analysis of lethal outcomes in patients with new coronavirus infection (COVID-19) in Tver region. Verkhnevolzhskiy Meditsinskiy Zhurnal. 2021;20(4):8–13. (In Russ).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3