Cargando…
Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico?
The underline hypothesis of this study was that SARS-CoV-2 can infect individuals regardless of health condition, sex, and age in opposition to the classical epidemiological assumption of an identifiable susceptible subpopulation for epidemic development. To address this issue, a population cohort w...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441236/ https://www.ncbi.nlm.nih.gov/pubmed/37608984 http://dx.doi.org/10.3389/fpubh.2023.995602 |
_version_ | 1785093339750596608 |
---|---|
author | Acevedo-Sánchez, Gerardo Mora-Aguilera, Gustavo Coria-Contreras, Juan J. Álvarez-Maya, Ikuri |
author_facet | Acevedo-Sánchez, Gerardo Mora-Aguilera, Gustavo Coria-Contreras, Juan J. Álvarez-Maya, Ikuri |
author_sort | Acevedo-Sánchez, Gerardo |
collection | PubMed |
description | The underline hypothesis of this study was that SARS-CoV-2 can infect individuals regardless of health condition, sex, and age in opposition to the classical epidemiological assumption of an identifiable susceptible subpopulation for epidemic development. To address this issue, a population cohort with 24.4 million metadata associated with 226,089 official RT-qPCR positive and 283,450 negative cases, including 27,769 deceased, linked putatively to B.1. and B.1.1. SARS-CoV-2 lineages were analyzed. The analysis baseline was to determine the infection and mortality structure of the diseased cohort at the onset-exponential phase of the first epidemic wave in Mexico under the assumption of limited herd immunity. Individuals with nonchronic diseases (NOCDs) were compared with those exhibiting at least one of 10 chronic diseases (CDs) adjusted by age and sex. Risk factors for infection and mortality were estimated with classification and regression tree (CART) and cluster analysis based on Spearman's matrix of rho-values in RStudio(®), complemented with two proposed mortality indices. SARS-CoV-2 infection was independent of health condition (52.8% NOCD vs. 47.2% CDs; p = 0.001–0.009) but influenced by age >46 in one risk analysis scenario (p < 0.001). Sex contributed 9.7% to the overall risk. The independent effect was supported by the health structure of negative cases with a similar tendency but a higher proportion of NOCDs (61.4%, p = 0.007). The infection probability in individuals with one CD was determined by the disease type and age, which was higher in those older individuals (≥56 years) exhibiting diabetes (12.3%, cp = 0.0006), hypertension (10.1%, cp < 0.0001), and obesity (7.8%, cp = 0.001). In contrast, the mortality risk was heavily influenced by CD conditioned by sex and age, accounting for 72.3% of total deaths (p = 0.001–0.008). Significant mortality risk (48%) was comprised of women and men (w, m) aged ≥56 years with diabetes (19% w and 27.9% m, cp < 0.0004), hypertension (11.5% w, cp = 0.0001), and CKD (3.5% w and 5.3% m, cp = 0.0009). Older people with diabetes and hypertension comorbidity increased the risk to 60.5% (p = 0.001). Based on a mortality-weighted index, women were more vulnerable to preexisting metabolic or cardiovascular diseases. These findings support our hypothesis and justify the need for surveillance systems at a communitarian level. This is the first study addressing this fundamental epidemiological question. |
format | Online Article Text |
id | pubmed-10441236 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104412362023-08-22 Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico? Acevedo-Sánchez, Gerardo Mora-Aguilera, Gustavo Coria-Contreras, Juan J. Álvarez-Maya, Ikuri Front Public Health Public Health The underline hypothesis of this study was that SARS-CoV-2 can infect individuals regardless of health condition, sex, and age in opposition to the classical epidemiological assumption of an identifiable susceptible subpopulation for epidemic development. To address this issue, a population cohort with 24.4 million metadata associated with 226,089 official RT-qPCR positive and 283,450 negative cases, including 27,769 deceased, linked putatively to B.1. and B.1.1. SARS-CoV-2 lineages were analyzed. The analysis baseline was to determine the infection and mortality structure of the diseased cohort at the onset-exponential phase of the first epidemic wave in Mexico under the assumption of limited herd immunity. Individuals with nonchronic diseases (NOCDs) were compared with those exhibiting at least one of 10 chronic diseases (CDs) adjusted by age and sex. Risk factors for infection and mortality were estimated with classification and regression tree (CART) and cluster analysis based on Spearman's matrix of rho-values in RStudio(®), complemented with two proposed mortality indices. SARS-CoV-2 infection was independent of health condition (52.8% NOCD vs. 47.2% CDs; p = 0.001–0.009) but influenced by age >46 in one risk analysis scenario (p < 0.001). Sex contributed 9.7% to the overall risk. The independent effect was supported by the health structure of negative cases with a similar tendency but a higher proportion of NOCDs (61.4%, p = 0.007). The infection probability in individuals with one CD was determined by the disease type and age, which was higher in those older individuals (≥56 years) exhibiting diabetes (12.3%, cp = 0.0006), hypertension (10.1%, cp < 0.0001), and obesity (7.8%, cp = 0.001). In contrast, the mortality risk was heavily influenced by CD conditioned by sex and age, accounting for 72.3% of total deaths (p = 0.001–0.008). Significant mortality risk (48%) was comprised of women and men (w, m) aged ≥56 years with diabetes (19% w and 27.9% m, cp < 0.0004), hypertension (11.5% w, cp = 0.0001), and CKD (3.5% w and 5.3% m, cp = 0.0009). Older people with diabetes and hypertension comorbidity increased the risk to 60.5% (p = 0.001). Based on a mortality-weighted index, women were more vulnerable to preexisting metabolic or cardiovascular diseases. These findings support our hypothesis and justify the need for surveillance systems at a communitarian level. This is the first study addressing this fundamental epidemiological question. Frontiers Media S.A. 2023-08-07 /pmc/articles/PMC10441236/ /pubmed/37608984 http://dx.doi.org/10.3389/fpubh.2023.995602 Text en Copyright © 2023 Acevedo-Sánchez, Mora-Aguilera, Coria-Contreras and Álvarez-Maya. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Acevedo-Sánchez, Gerardo Mora-Aguilera, Gustavo Coria-Contreras, Juan J. Álvarez-Maya, Ikuri Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico? |
title | Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico? |
title_full | Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico? |
title_fullStr | Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico? |
title_full_unstemmed | Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico? |
title_short | Were metabolic and other chronic diseases the driven onset epidemic forces of COVID-19 in Mexico? |
title_sort | were metabolic and other chronic diseases the driven onset epidemic forces of covid-19 in mexico? |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441236/ https://www.ncbi.nlm.nih.gov/pubmed/37608984 http://dx.doi.org/10.3389/fpubh.2023.995602 |
work_keys_str_mv | AT acevedosanchezgerardo weremetabolicandotherchronicdiseasesthedrivenonsetepidemicforcesofcovid19inmexico AT moraaguileragustavo weremetabolicandotherchronicdiseasesthedrivenonsetepidemicforcesofcovid19inmexico AT coriacontrerasjuanj weremetabolicandotherchronicdiseasesthedrivenonsetepidemicforcesofcovid19inmexico AT alvarezmayaikuri weremetabolicandotherchronicdiseasesthedrivenonsetepidemicforcesofcovid19inmexico |