The relationship between demographic indicators and mortality rate of COVID-19 disease comparatively and retrospectively in different waves of COVID-19 disease in Iran

K. Aghakhani, S. Soltani, A. Memarian, S. Mehrpisheh
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引用次数: 2

Abstract

Coronavirus disease-19 (COVID-19) is a novel emerging infectious disease caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV-2). In this study, we aimed to examine the relationship between demographic indicators and mortality rates in Covid-19 disease in different Covid-19 waves in Iran. In this retrospective cross-sectional study, the study population consisted of 9874 patients of Covid-19 admitted to Hazrat Rasoul Akram Hospital of Tehran, from the beginning of the disease to the end of the fifth wave. Demographic variables such as age and sex as well as clinical variables such as hospitalization date and mortality rate were collected and evaluated. The analysis was performed using SPSS software version 26. The mean age of 9874 participants was 58.9 +/- 17.0 years. In this study 5510 (55.8%) of patients were male. 1762 (17.8%) patients died. The fifth wave had the highest number of patients (31.1%) and the trend in the number of patients was increasing from wave second to fifth. However, the percentage of death was lower in waves fourth (14.5%) and fifth (15.3%). The mean age of deceased patients was significantly greater than alive patients (69.25 +/- 14.60 vs. 56.76 +/- 16.75, P=0.0001). The frequency of male deaths was significantly higher than female deaths (P=0.0001). The results of the present study indicate that the frequency of mortality in recent waves, despite a significant increase in hospitalization, has been decreased. It can also be said that mortality increases with age as well as male gender, and males are more prone to death due to covid-19 disease with age. Copyright © 2022 Ondokuz Mayis Universitesi. All rights reserved.
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伊朗不同流行阶段人口统计学指标与COVID-19死亡率的对比与回顾性分析
冠状病毒病-19 (COVID-19)是由严重急性呼吸综合征冠状病毒2型(SARSCoV-2)引起的一种新型传染病。在这项研究中,我们旨在研究伊朗不同Covid-19浪潮中人口统计学指标与Covid-19疾病死亡率之间的关系。在这项回顾性横断面研究中,研究人群包括9874名从疾病开始到第五波结束入住德黑兰Hazrat Rasoul Akram医院的Covid-19患者。收集和评估了年龄和性别等人口统计变量以及住院日期和死亡率等临床变量。采用SPSS软件26版进行分析。9874名参与者的平均年龄为58.9±17.0岁。本研究中5510例(55.8%)患者为男性。死亡1762例(17.8%)。第五波患者人数最多(31.1%),从第二波到第五波患者人数呈增加趋势。然而,第四波(14.5%)和第五波(15.3%)的死亡率较低。死亡患者的平均年龄明显大于存活患者(69.25 +/- 14.60 vs. 56.76 +/- 16.75, P=0.0001)。男性死亡率显著高于女性死亡率(P=0.0001)。本研究的结果表明,尽管住院人数大幅增加,但最近几波的死亡率有所下降。也可以说,死亡率随年龄和男性性别的增加而增加,随着年龄的增长,男性更容易因covid-19疾病而死亡。版权所有©2022 Ondokuz Mayis Universitesi。版权所有。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
32
期刊介绍: The Tokai Journal of Experimental and Clinical Medicine, also referred to as Tokai Journal, is an official quarterly publication of the Tokai Medical Association. Tokai Journal publishes original articles that deal with issues of clinical, experimental, socioeconomic, cultural and/or historical importance to medical science and related fields. Manuscripts may be submitted as full-length Original Articles or Brief Communications. Tokai Journal also publishes reviews and symposium proceedings. Articles accepted for publication in Tokai Journal cannot be reproduced elsewhere without written permission from the Tokai Medical Association. In addition, Tokai Journal will not be held responsible for the opinions of the authors expressed in the published articles.
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