Tags

Type your tag names separated by a space and hit enter

A survival analysis of COVID-19 in the Mexican population.
BMC Public Health. 2020 Oct 27; 20(1):1616.BP

Abstract

BACKGROUND

At present, the Americas report the largest number of cases of COVID-19 worldwide. In this region, Mexico is the third country with most deaths (20,781 total deaths). A sum that may be explained by the high proportion of people over 50 and the high rate of chronic diseases. The aim of this analysis is to investigate the risk factors associated with COVID-19 deaths in Mexican population using survival analysis.

METHODS

Our analysis includes all confirmed COVID-19 cases contained in the dataset published by the Epidemiological Surveillance System for Viral Respiratory Diseases of the Mexican Ministry of Health. We applied survival analysis to investigate the impact of COVID-19 on the Mexican population. From this analysis, we plotted Kaplan-Meier curves, and constructed a Cox proportional hazard model.

RESULTS

The analysis included the register of 16,752 confirmed cases of COVID-19 with mean age 46.55 ± 15.55 years; 58.02% (n = 9719) men, and 9.37% (n = 1569) deaths. Male sex, older age, chronic kidney disease, pneumonia, hospitalization, intensive care unit admission, intubation, and health care in public health services, were independent factors increasing the risk of death due to COVID-19 (p < 0.001).

CONCLUSIONS

The risk of dying at any time during follow-up was clearly higher for men, individuals in older age groups, people with chronic kidney disease, and people hospitalized in public health services.

Authors+Show Affiliations

Center for Economic and Social Studies in Health, Hospital Infantil de México Federico Gómez, Mexico City, Mexico.Geriatric Epidemiology Unit, Research Department, Instituto Nacional de Geriatría, Av. Contreras 428, Col. San Jerónimo Lídice, Alcaldía Magdalena Contreras, Mexico City, Mexico. marifercave@yahoo.com.mx.Epidemiological and Health Services Research Unit Aging Area, Centro Médico Nacional, Siglo XXI, Mexico City, Mexico.Center for Economic and Social Studies in Health, Hospital Infantil de México Federico Gómez, Mexico City, Mexico.Research Unit in Evidence-Based Medicine, Hospital Infantil de México Federico Gómez, Mexico City, Mexico.Research Department, Hospital Infantil de México Federico Gómez, Mexico City, Mexico.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33109136

Citation

Salinas-Escudero, Guillermo, et al. "A Survival Analysis of COVID-19 in the Mexican Population." BMC Public Health, vol. 20, no. 1, 2020, p. 1616.
Salinas-Escudero G, Carrillo-Vega MF, Granados-García V, et al. A survival analysis of COVID-19 in the Mexican population. BMC Public Health. 2020;20(1):1616.
Salinas-Escudero, G., Carrillo-Vega, M. F., Granados-García, V., Martínez-Valverde, S., Toledano-Toledano, F., & Garduño-Espinosa, J. (2020). A survival analysis of COVID-19 in the Mexican population. BMC Public Health, 20(1), 1616. https://doi.org/10.1186/s12889-020-09721-2
Salinas-Escudero G, et al. A Survival Analysis of COVID-19 in the Mexican Population. BMC Public Health. 2020 Oct 27;20(1):1616. PubMed PMID: 33109136.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A survival analysis of COVID-19 in the Mexican population. AU - Salinas-Escudero,Guillermo, AU - Carrillo-Vega,María Fernanda, AU - Granados-García,Víctor, AU - Martínez-Valverde,Silvia, AU - Toledano-Toledano,Filiberto, AU - Garduño-Espinosa,Juan, Y1 - 2020/10/27/ PY - 2020/06/22/received PY - 2020/10/16/accepted PY - 2020/10/28/entrez PY - 2020/10/29/pubmed PY - 2020/10/30/medline KW - COVID-19 KW - Mortality KW - Pandemics KW - Risk factors SP - 1616 EP - 1616 JF - BMC public health JO - BMC Public Health VL - 20 IS - 1 N2 - BACKGROUND: At present, the Americas report the largest number of cases of COVID-19 worldwide. In this region, Mexico is the third country with most deaths (20,781 total deaths). A sum that may be explained by the high proportion of people over 50 and the high rate of chronic diseases. The aim of this analysis is to investigate the risk factors associated with COVID-19 deaths in Mexican population using survival analysis. METHODS: Our analysis includes all confirmed COVID-19 cases contained in the dataset published by the Epidemiological Surveillance System for Viral Respiratory Diseases of the Mexican Ministry of Health. We applied survival analysis to investigate the impact of COVID-19 on the Mexican population. From this analysis, we plotted Kaplan-Meier curves, and constructed a Cox proportional hazard model. RESULTS: The analysis included the register of 16,752 confirmed cases of COVID-19 with mean age 46.55 ± 15.55 years; 58.02% (n = 9719) men, and 9.37% (n = 1569) deaths. Male sex, older age, chronic kidney disease, pneumonia, hospitalization, intensive care unit admission, intubation, and health care in public health services, were independent factors increasing the risk of death due to COVID-19 (p < 0.001). CONCLUSIONS: The risk of dying at any time during follow-up was clearly higher for men, individuals in older age groups, people with chronic kidney disease, and people hospitalized in public health services. SN - 1471-2458 UR - https://www.unboundmedicine.com/medline/citation/33109136/A_survival_analysis_of_COVID-19_in_the_Mexican_population L2 - https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-020-09721-2 DB - PRIME DP - Unbound Medicine ER -