A survival analysis of COVID-19 in the Mexican population.
COVID-19
Mortality
Pandemics
Risk factors
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
27 Oct 2020
27 Oct 2020
Historique:
received:
22
06
2020
accepted:
16
10
2020
entrez:
28
10
2020
pubmed:
29
10
2020
medline:
30
10
2020
Statut:
epublish
Résumé
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. 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. 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). 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.
Sections du résumé
BACKGROUND
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
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
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
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.
Identifiants
pubmed: 33109136
doi: 10.1186/s12889-020-09721-2
pii: 10.1186/s12889-020-09721-2
pmc: PMC7588954
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1616Commentaires et corrections
Type : ErratumIn
Références
Lancet. 2020 Feb 22;395(10224):565-574
pubmed: 32007145
Am J Kidney Dis. 2016 Jan;67(1):89-97
pubmed: 26475392
J Infect. 2020 Aug;81(2):e16-e25
pubmed: 32335169
Int J Antimicrob Agents. 2020 Mar;55(3):105924
pubmed: 32081636
Lancet Infect Dis. 2020 May;20(5):547-548
pubmed: 32311323
Invest Radiol. 2020 Jun;55(6):327-331
pubmed: 32118615
J Family Med Prim Care. 2019 Sep 30;8(9):2859-2863
pubmed: 31681656
Kidney Int. 2020 May;97(5):829-838
pubmed: 32247631
Prehosp Disaster Med. 2020 Aug;35(4):438-441
pubmed: 32600476
Microbes Infect. 2020 May - Jun;22(4-5):212-217
pubmed: 32387682
Monaldi Arch Chest Dis. 2020 May 05;90(2):
pubmed: 32368884
J Clin Invest. 2020 Jun 1;130(6):2749-2751
pubmed: 32250968
Mediators Inflamm. 2010;2010:
pubmed: 20706689
Clin Mol Allergy. 2020 Aug 4;18:14
pubmed: 32774170
JAMA. 2020 Apr 7;323(13):1239-1242
pubmed: 32091533
BMC Geriatr. 2020 Oct 8;20(1):395
pubmed: 33032534
G Ital Cardiol (Rome). 2020 Aug;21(8):570-574
pubmed: 32686780
J Infect. 2020 Aug;81(2):e82-e84
pubmed: 32405109
Front Med (Lausanne). 2020 Jun 23;7:348
pubmed: 32671082
PLoS One. 2020 Sep 11;15(9):e0238905
pubmed: 32915872
J Infect. 2020 Jul;81(1):10-16
pubmed: 32413364
J Clin Med. 2020 Feb 17;9(2):
pubmed: 32079150
Int J Obes (Lond). 2020 Aug;44(8):1790-1792
pubmed: 32409680
Clin Imaging. 2020 Jul;63:7-9
pubmed: 32120312
J Glob Health. 2020 Jun;10(1):011004
pubmed: 32373340