School of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia, United States of America.
College of Business and Technology, Western Illinois University, Macomb, Illinois, United States of America.
PLoS One. 2024 Apr 17;19(4):e0296895. doi: 10.1371/journal.pone.0296895. eCollection 2024.
By August 17, 2021, 4.3 million people had died globally as a result of SARS-CoV-2 infection. While data collection is ongoing, it is abundantly obvious that this is one of the most significant public health crises in modern history. Consequently, global efforts are being made to attain a greater understanding of this disease and to identify risk factors associated with more severe outcomes. The goal of this study is to identify clinical characteristics and risk factors associated with COVID-19 mortality in Mexico. The dataset used in this study was released by Sistema Nacional de Vigilancia Epidemiologica de Enfermedades Respiratorias (SISVER) de la Secretaría de Salud and contains 2.9 million COVID-19 cases. The effects of risk factors on COVID-19 mortality were estimated using multivariable logistic regression models with generalized estimation equation and Kaplan-Meier curves. Case fatality rates, case hospitalization rates are also reported using the Centers for Disease Control and Prevention (CDC) USA death-to-case ratio method. In general, older males with pre-existing conditions had higher odds of death. Age greater than 40, male sex, hypertension, diabetes, and obesity are associated with higher COVID-19 mortality. End-stage renal disease, chronic obstructive pulmonary disease, and immunosuppression are all linked with COVID-19 patient fatalities. Smoking and Asthma are associated with lower COVID-19 mortality which is consistent with findings from the article published in Nature based on National Health Service (NHS) of UK dataset (17 million cases). Intensive care unit (ICU), patient intubation, and pneumonia diagnosis are shown to substantially increase mortality risk for COVID-19 patients.
截至 2021 年 8 月 17 日，全球已有 430 万人因感染 SARS-CoV-2 而死亡。虽然数据仍在不断收集，但很明显，这是现代历史上最重大的公共卫生危机之一。因此，全球正在努力更深入地了解这种疾病，并确定与更严重后果相关的风险因素。本研究旨在确定与墨西哥 COVID-19 死亡率相关的临床特征和风险因素。本研究使用的数据集由 Secretaría de Salud 的 Sistema Nacional de Vigilancia Epidemiologica de Enfermedades Respiratorias (SISVER) 发布，包含 290 万例 COVID-19 病例。使用广义估计方程和 Kaplan-Meier 曲线的多变量逻辑回归模型来估计风险因素对 COVID-19 死亡率的影响。还使用美国疾病控制与预防中心 (CDC) 的 USA 死亡与病例比方法报告病死率和病例住院率。一般来说，有既往疾病的老年男性死亡风险更高。年龄大于 40 岁、男性、高血压、糖尿病和肥胖与 COVID-19 死亡率较高相关。终末期肾病、慢性阻塞性肺疾病和免疫抑制与 COVID-19 患者死亡相关。吸烟和哮喘与 COVID-19 死亡率较低相关，这与基于英国国民保健制度 (NHS) 数据集的 Nature 杂志上发表的文章的发现一致（1700 万例）。重症监护病房 (ICU)、患者插管和肺炎诊断表明 COVID-19 患者的死亡率风险大大增加。
