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Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.rights.license | http://creativecommons.org/licenses/by-nc/4.0 | es_MX |
dc.creator | OMAR YAXMEHEN BELLO CHAVOLLA | es_MX |
dc.creator | JESSICA PAOLA BAHENA LOPEZ | es_MX |
dc.creator | Neftali Eduardo Antonio Villa | es_MX |
dc.creator | ARSENIO VARGAS VAZQUEZ | es_MX |
dc.creator | ARMANDO GONZALEZ DIAZ | es_MX |
dc.creator | Alejandro Márquez Salinas | es_MX |
dc.creator | Carlos Alberto Fermín Martínez | es_MX |
dc.creator | J. Jesús Naveja | es_MX |
dc.creator | CARLOS ALBERTO AGUILAR SALINAS | es_MX |
dc.date | 2020 | - |
dc.date.accessioned | 2021-08-23T21:27:39Z | - |
dc.date.available | 2021-08-23T21:27:39Z | - |
dc.identifier.uri | http://repositorio.inger.gob.mx/jspui/handle/20.500.12100/17215 | - |
dc.description | Background The SARS-CoV-2 outbreak poses a challenge to health care systems due to its high complication rates in patients with cardiometabolic diseases. Here, we identify risk factors and propose a clinical score to predict COVID-19 lethality, including specific factors for diabetes and obesity, and its role in improving risk prediction. Methods We obtained data of confirmed and negative COVID-19 cases and their demographic and health characteristics from the General Directorate of Epidemiology of the Mexican Ministry of Health. We investigated specific risk factors associated to COVID-19 positivity and mortality and explored the impact of diabetes and obesity on modifying COVID-19-related lethality. Finally, we built a clinical score to predict COVID-19 lethality. Results Among the 177 133 subjects at the time of writing this report (May 18, 2020), we observed 51 633 subjects with SARS-CoV-2 and 5,332 deaths. Risk factors for lethality in COVID-19 include early-onset diabetes, obesity, chronic obstructive pulmonary disease, advanced age, hypertension, immunosuppression, and chronic kidney disease (CKD); we observed that obesity mediates 49.5% of the effect of diabetes on COVID-19 lethality. Early-onset diabetes conferred an increased risk of hospitalization and obesity conferred an increased risk for intensive care unit admission and intubation. Our predictive score for COVID-19 lethality included age ≥ 65 years, diabetes, early-onset diabetes, obesity, age < 40 years, CKD, hypertension, and immunosuppression and significantly discriminates lethal from non-lethal COVID-19 cases (C-statistic = 0.823). Conclusions Here, we propose a mechanistic approach to evaluate the risk for complications and lethality attributable to COVID-19, considering the effect of obesity and diabetes in Mexico. Our score offers a clinical tool for quick determination of high-risk susceptibility patients in a first-contact scenario. | es_MX |
dc.format | Adobe PDF | es_MX |
dc.language | eng | es_MX |
dc.publisher | Endocrine Society & Oxford University Press | es_MX |
dc.relation | https://academic.oup.com/jcem/article/105/8/2752/5849337 | es_MX |
dc.relation.requires | Si | es_MX |
dc.rights | Acceso Abierto | es_MX |
dc.source | Journal of Clinical Endocrinology and Metabolism (1945-7197) Vol. 105 (2020) | es_MX |
dc.subject | MEDICINA Y CIENCIAS DE LA SALUD | es_MX |
dc.subject | Ciencias médicas | es_MX |
dc.subject | Ciencias clínicas | es_MX |
dc.subject | Enfermedades virales | es_MX |
dc.subject | Infección por coronavirus | es_MX |
dc.subject | COVID-19 | es_MX |
dc.subject | Síndrome respiratorio agudo severo | es_MX |
dc.subject | Enfermedades del sistema endócrino | es_MX |
dc.subject | Diabetes | es_MX |
dc.subject | Desordenes nutricionales | es_MX |
dc.subject | Obesidad | es_MX |
dc.subject | México | es_MX |
dc.subject | Virus diseases | es_MX |
dc.subject | Coronavirus infections | es_MX |
dc.subject | SARS-CoV-2 | es_MX |
dc.subject | Severe Acute Respiratory Syndrome | es_MX |
dc.subject | Endocrine system diseases | es_MX |
dc.subject | Diabetes mellitus | es_MX |
dc.subject | Nutrition disorders | es_MX |
dc.subject | Obesity | es_MX |
dc.subject | Mexico | es_MX |
dc.title | Predicting Mortality Due to SARS-CoV-2: A Mechanistic Score Relating Obesity and Diabetes to COVID-19 Outcomes in Mexico | es_MX |
dc.type | Artículo | es_MX |
dc.audience | Researchers | es_MX |
dc.creator.id | BECO920925HDFLHM05 | es_MX |
dc.creator.id | BALJ930827MDFHPS02 | es_MX |
dc.creator.id | CA1343917 | es_MX |
dc.creator.id | VAVA940920HGRRZR01 | es_MX |
dc.creator.id | GODA870730HDFNZR09 | es_MX |
dc.creator.id | CA1343931 | es_MX |
dc.creator.id | CA1343932 | es_MX |
dc.creator.id | CA1343927 | es_MX |
dc.creator.id | AUSC611116HDFGLR00 | es_MX |
dc.creator.nameIdentifier | curp | es_MX |
dc.creator.nameIdentifier | curp | es_MX |
dc.creator.nameIdentifier | ca | es_MX |
dc.creator.nameIdentifier | curp | es_MX |
dc.creator.nameIdentifier | curp | es_MX |
dc.creator.nameIdentifier | ca | es_MX |
dc.creator.nameIdentifier | ca | es_MX |
dc.creator.nameIdentifier | ca | es_MX |
dc.creator.nameIdentifier | curp | es_MX |
Aparece en las colecciones: | 1. Artículos |
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Fichero | Descripción | Tamaño | Formato | |
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Journal of Clinical Endocrinology and Metabolism (1945-7197) Vol. 105 (2020).pdf | 3.78 MB | Adobe PDF | Visualizar/Abrir |