伊朗阿达比勒省第四次新冠肺炎大流行的人口统计学、临床和临床旁特征

Majid Eterafi, Shima Makaremi, Hamidreza Shaker, N. Fouladi, Vahid Khaze Shahgoli, F. Jeddi, E. Safarzadeh
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引用次数: 0

摘要

背景:2019冠状病毒病(COVID-19)是一种传染病,已成为全球大流行,涉及包括伊朗在内的许多国家。与此同时,对第四次COVID-19患者激增的临床和人口统计学特征进行分析,可以更好地了解疾病管理和降低死亡率的情况。目的:本研究旨在确定伊朗阿达比尔省第四波COVID-19的有效临床和人口统计学特征。方法:利用2021年2月至2021年5月在第四次高峰期间入院的COVID-19确诊患者的临床和人口统计学特征,开展了一项基于人群的分析横断面研究。通过控制干预变量评估重症监护病房(ICU)入院和死亡的预测因子。结果:我们评估了500例患者,其中54.5%为男性,45.5%为女性。其中,高血压为主要合并症的患者占35.1%,其次为糖尿病(21.4%)、心血管疾病(8.4%)、肾脏疾病(2.4%)等。研究结果表明,年龄的增长增加了COVID-19患者的死亡率。此外,我们的研究结果显示,在分析项目中,年龄、性别和脑血管事故(CVA)被认为是ICU住院的预测因素。结论:年龄和合并症是降低康复概率和增加ICU入院率的两大危险因素。因此,至少有一种合并症的老年人感染的风险更高。
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Demographic, Clinical, and Paraclinical Characteristics of the Fourth Surge of the COVID-19 Pandemic in Ardabil Province, Iran
Background: Coronavirus disease-2019 (COVID-19), an infectious disease, has been known as a worldwide pandemic involving many countries, including Iran. Meantime, the analyses of clinical and demographic features of the fourth surge in COVID-19 patients provide a better overview of disease management and mortality reduction. Objective: This study aimed to identify the effective clinical and demographic hallmarks of the fourth wave of COVID-19 in Ardabil Province, Iran. Methods: We carried out a population-based analytical cross-sectional study using clinical and demographic characteristics of COVID-19 from February 2021 to May 2021 among confirmed COVID-19 patients who were admitted to the hospital during the fourth surge. Predictors of intensive care unit (ICU) admission and death were evaluated by controlling for intervening variables. Findings: We evaluated 500 patients, of whom 54.5% were men, and 45.5% were women. Among them, 35.1% of patients had hypertension as the main comorbidity, followed by diabetes (21.4%), cardiovascular disease (8.4 %), renal diseases (2.4%), and others. The findings indicated that increasing age has increased mortality among patients with COVID-19. Moreover, our results showed that among the analyzed items, age, sex, and cerebral vascular accident (CVA) were indicated as predictors of ICU admission. Conclusion: This evaluation demonstrated that old age and comorbidities are two major risk factors for reducing the probability of recovery and increasing admission to the ICU. Therefore, elderly individuals with at least one co-morbidity are at higher risk of becoming infected.
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