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墨西哥六次疫情浪潮期间与新冠病毒疾病住院和死亡相关风险因素的影响及演变

Impact and evolution of risk factors associated with hospitalization and mortality due to COVID-19 during the six epidemic waves in Mexico.

作者信息

Saldaña-Jiménez Fernando, Almaguer-Martínez Francisco Javier, Hernández-Cabrera Francisco, Morales-Vidales José Abraham, Soto-Rocha M Valentina I, Walle-García Otoniel

机构信息

Facultad de Ciencias Físico Matemáticas, UANL, Av. Universidad S/n Ciudad Universitaria, San Nicolás de Los Garza, 66451, Nuevo León, Mexico.

出版信息

Heliyon. 2024 Mar 11;10(6):e27962. doi: 10.1016/j.heliyon.2024.e27962. eCollection 2024 Mar 30.

Abstract

OBJECTIVES

This study aims to analyze and compare the main risk factors for hospitalization and deaths due to COVID-19 during the six epidemic waves from February 2020 to June 2023 in Mexico.

METHODS

First, a descriptive analysis of the risk factors that led to hospitalization and mortality due to COVID-19 was performed. Next, the degree of relationship of each risk factor with hospitalization and death was determined using Cramer's V coefficient. Finally, logistic regression models were applied to estimate the odds ratios of the most statistically significant risk factors for hospitalization and mortality.

RESULTS

A direct relationship between age and the possibility of hospitalization and death due to COVID-19 was found. Moreover, the comorbidities most likely to lead to hospitalization and death were pneumonia, hypertension, diabetes, obesity and CKD. It is also remarkable that the second factor of death is endotracheal intubation.

CONCLUSION

The COVID-19 pandemic in Mexico revealed the reality of an epidemiological scenario where infectious diseases and chronic degenerative diseases coexist and interrelate.

摘要

目的

本研究旨在分析和比较2020年2月至2023年6月墨西哥六次疫情浪潮期间因新冠病毒病住院和死亡的主要风险因素。

方法

首先,对导致新冠病毒病住院和死亡的风险因素进行描述性分析。其次,使用克莱姆V系数确定每个风险因素与住院和死亡的关联程度。最后,应用逻辑回归模型估计住院和死亡的统计学上最显著风险因素的比值比。

结果

发现年龄与因新冠病毒病住院和死亡的可能性之间存在直接关系。此外,最有可能导致住院和死亡的合并症是肺炎、高血压、糖尿病、肥胖症和慢性肾脏病。同样值得注意的是,死亡的第二个因素是气管插管。

结论

墨西哥的新冠病毒病大流行揭示了传染病和慢性退行性疾病共存并相互关联的流行病学现实。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ed4/10950712/4dde72c624b1/gr1.jpg

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