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Prognostic factors of COVID-19 severity and mortality in the Yucatecan ethnic of México contrast with other populations.
Sánchez-Burgos, Gilma Guadalupe; Aguilar-Erosa, Julia Aymé; Alcocer-Ayuso, Narces Ramón.
Afiliação
  • Sánchez-Burgos GG; Mexican Institute of Social Security, Yucatan Medical Research Unit. Mérida, México.
  • Aguilar-Erosa JA; Mexican Institute of Social Security, High Specialty Medical Unit. Mérida, México.
  • Alcocer-Ayuso NR; Regional General Hospital No 1 "Lic. Ignacio García Téllez". Mérida, México.
J Infect Dev Ctries ; 17(4): 425-431, 2023 04 30.
Article em En | MEDLINE | ID: mdl-37159885
ABSTRACT

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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Mexico Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans País/Região como assunto: Mexico Idioma: En Ano de publicação: 2023 Tipo de documento: Article