Al-Hassinah Sarah, Al-Daihan Sooad, Alahmadi Mashael, Alghamdi Sara, Almulhim Rawabi, Obeid Dalia, Arabi Yaseen, Alswaji Abdulrahman, Aldriwesh Marwh, Alghoribi Majed
Infectious Diseases Research Department, King Abdullah International Medical Research Center, Riyadh 11426, Saudi Arabia.
Biochemistry Department, College of Science, King Saud University, Riyadh 11495, Saudi Arabia.
Microorganisms. 2024 May 18;12(5):1022. doi: 10.3390/microorganisms12051022.
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]; < 0.0001), male gender (OR: 2.26, CI: [1.0-5.1]; = 0.047), and blood urea nitrogen level (OR: 2.56, CI: [1.07-6.12]; = 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.
由于人体生理机能具有动态特性,了解驱动新冠病毒感染进展和严重程度的因素十分复杂。因此,我们旨在通过人口统计学数据、临床表现及实验室参数概况来探究新冠病毒的严重程度风险指标。该研究纳入了2020年6月至2021年4月期间在沙特阿拉伯利雅得的阿卜杜勒阿齐兹国王医疗城住院或在利雅得指定酒店隔离的175名患者。对住院患者在入院第一周进行随访。从电子病历中获取人口统计学数据、临床表现及实验室结果。我们的结果显示,高龄(比值比:1.1,置信区间:[1.1 - 1.12];P < 0.0001)、男性(比值比:2.26,置信区间:[1.0 - 5.1];P = 0.047)及血尿素氮水平(比值比:2.56,置信区间:[1.07 - 6.12];P = 0.034)是严重程度水平的潜在预测因素。总之,该研究表明,除实验室参数外,年龄和性别可能在早期阶段预测新冠病毒感染的严重程度。据我们所知,本研究是沙特阿拉伯首个探讨风险因素中实验室参数纵向概况的研究,为新冠病毒感染进展参数提供了线索。