Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populations

Introduction: Previous studies that identified the prognostic factors for the severity of the new coronavirus disease 2019 (COVID-19) in different populations have generated controversial conclusions. The lack of a standard definition of COVID-19 severity and the differences between clinical diagno...

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Main Authors: Gilma Guadalupe Sánchez-Burgos, Julia Aymé Aguilar-Erosa, Narces Ramón Alcocer-Ayuso
Format: Article
Language:English
Published: The Journal of Infection in Developing Countries 2023-04-01
Series:Journal of Infection in Developing Countries
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Online Access:https://jidc.org/index.php/journal/article/view/17428
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author Gilma Guadalupe Sánchez-Burgos
Julia Aymé Aguilar-Erosa
Narces Ramón Alcocer-Ayuso
author_facet Gilma Guadalupe Sánchez-Burgos
Julia Aymé Aguilar-Erosa
Narces Ramón Alcocer-Ayuso
author_sort Gilma Guadalupe Sánchez-Burgos
collection DOAJ
description Introduction: Previous studies that identified the prognostic factors for the severity of the new coronavirus disease 2019 (COVID-19) in different populations have generated controversial conclusions. The lack of a standard definition of COVID-19 severity and the differences between clinical diagnoses might make it difficult to provide optimum care according to the characteristics of each population. Methodology: We investigated the factors that impacted the severe outcome or death from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients treated at the Mexican Institute of Social Security in Yucatán, México in 2020. A cross-sectional study of COVID-19 confirmed cases was done to know the prevalence and association of the demographic and clinical characteristics with a severe or fatal outcome. Information from the National Epidemiological Surveillance System (SINAVE) database was used and SPSS v 21 was used for statistical analyses. We used the World Health Organization (WHO) and the Centers for Diseases Control and Prevention (CDC) symptomatology classifications to define severe cases. Results: Diabetes and pneumonia increased the risk of death and having diabetes was a prognostic factor for severe illness following SARS-CoV-2 infection. Conclusions: Our results highlight the influence of cultural and ethnic factors, the necessity to standardize the parameters for clinical diagnoses, and to use the same criteria for the definition of COVID-19 severity to establish the clinical conditions that contribute to the pathophysiology of this disease in each population.
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spelling doaj-art-0ce8227c252a4fc081a0427e2c2e6c732025-08-20T02:14:07ZengThe Journal of Infection in Developing CountriesJournal of Infection in Developing Countries1972-26802023-04-01170410.3855/jidc.17428Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populationsGilma Guadalupe Sánchez-Burgos0Julia Aymé Aguilar-Erosa1Narces Ramón Alcocer-Ayuso2Mexican Institute of Social Security, Yucatan Medical Research Unit. Mérida, MéxicoMexican Institute of Social Security, High Specialty Medical Unit. Mérida, MéxicoRegional General Hospital No 1 “Lic. Ignacio García Téllez”. Mérida, México Introduction: Previous studies that identified the prognostic factors for the severity of the new coronavirus disease 2019 (COVID-19) in different populations have generated controversial conclusions. The lack of a standard definition of COVID-19 severity and the differences between clinical diagnoses might make it difficult to provide optimum care according to the characteristics of each population. Methodology: We investigated the factors that impacted the severe outcome or death from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in patients treated at the Mexican Institute of Social Security in Yucatán, México in 2020. A cross-sectional study of COVID-19 confirmed cases was done to know the prevalence and association of the demographic and clinical characteristics with a severe or fatal outcome. Information from the National Epidemiological Surveillance System (SINAVE) database was used and SPSS v 21 was used for statistical analyses. We used the World Health Organization (WHO) and the Centers for Diseases Control and Prevention (CDC) symptomatology classifications to define severe cases. Results: Diabetes and pneumonia increased the risk of death and having diabetes was a prognostic factor for severe illness following SARS-CoV-2 infection. Conclusions: Our results highlight the influence of cultural and ethnic factors, the necessity to standardize the parameters for clinical diagnoses, and to use the same criteria for the definition of COVID-19 severity to establish the clinical conditions that contribute to the pathophysiology of this disease in each population. https://jidc.org/index.php/journal/article/view/17428SARS-CoV-2severitymortalitycomorbidities
spellingShingle Gilma Guadalupe Sánchez-Burgos
Julia Aymé Aguilar-Erosa
Narces Ramón Alcocer-Ayuso
Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populations
Journal of Infection in Developing Countries
SARS-CoV-2
severity
mortality
comorbidities
title Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populations
title_full Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populations
title_fullStr Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populations
title_full_unstemmed Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populations
title_short Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populations
title_sort prognostic factors of covid 19 severity and mortality in the yucatecan ethnic of mexico contrast with other populations
topic SARS-CoV-2
severity
mortality
comorbidities
url https://jidc.org/index.php/journal/article/view/17428
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