关键词: SARS-CoV-2 infection age clinical manifestations comorbidity gender laboratory parameters risk factors severity progression

来  源:   DOI:10.3390/microorganisms12051022   PDF(Pubmed)

Abstract:
Understanding the factors driving SARS-CoV-2 infection progression and severity is complex due to the dynamic nature of human physiology. Therefore, we aimed to explore the severity risk indicators of SARS-CoV-2 through demographic data, clinical manifestations, and the profile of laboratory parameters. The study included 175 patients either hospitalized at King Abdulaziz Medical City-Riyadh or placed in quarantine at designated hotels in Riyadh, Saudi Arabia, from June 2020 to April 2021. Hospitalized patients were followed up through the first week of admission. Demographic data, clinical presentations, and laboratory results were retrieved from electronic patient records. Our results revealed that older age (OR: 1.1, CI: [1.1-1.12]; p < 0.0001), male gender (OR: 2.26, CI: [1.0-5.1]; p = 0.047), and blood urea nitrogen level (OR: 2.56, CI: [1.07-6.12]; p = 0.034) were potential predictors of severity level. In conclusion, the study showed that apart from laboratory parameters, age and gender could potentially predict the severity of SARS-CoV-2 infection in the early stages. To our knowledge, this study is the first in Saudi Arabia to explore the longitudinal profile of laboratory parameters among risk factors, shedding light on SARS-CoV-2 infection progression parameters.
摘要:
由于人类生理学的动态性质,理解驱动SARS-CoV-2感染进展和严重程度的因素是复杂的。因此,我们旨在通过人口统计数据探索SARS-CoV-2的严重风险指标,临床表现,和实验室参数的轮廓。该研究包括175名患者,他们要么在利雅得阿卜杜勒阿齐兹国王医疗城住院,要么在利雅得的指定酒店接受隔离,沙特阿拉伯,从2020年6月到2021年4月。住院患者在入院的第一周进行随访。人口统计数据,临床表现,并从电子病历中检索实验室结果.我们的结果显示,年龄较大(OR:1.1,CI:[1.1-1.12];p<0.0001),男性(OR:2.26,CI:[1.0-5.1];p=0.047),和血尿素氮水平(OR:2.56,CI:[1.07-6.12];p=0.034)是严重程度的潜在预测因子。总之,研究表明,除了实验室参数,年龄和性别可能在早期阶段预测SARS-CoV-2感染的严重程度。据我们所知,这项研究是沙特阿拉伯首次探索危险因素中实验室参数的纵向剖面,揭示SARS-CoV-2感染进展参数。
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