About: Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico

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About: Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico
Creator	Aguilar-Salinas, Carlos Antonio-Villa, Neftali Fermín-Martínez, Carlos González-Díaz, Armando Márquez-Salinas, Alejandro Médicas, Ciencias Naveja, J Paola Bahena-López, Jessica Salvador, Nutrición Vargas-Vázquez, Arsenio Yaxmehen Bello-Chavolla, Omar Yaxmehen, Omar
Source	Medline; PMC
abstract	BACKGROUND: The SARS-CoV-2 outbreak poses challenge to healthcare systems due to 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 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 177,133 subjects at May 18(th), 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, COPD, advanced age, hypertension, immunosuppression, and 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 ICU 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). RESULTS: Here, we propose a mechanistic approach to evaluate 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.
has issue date	2020-05-31(xsd:dateTime)
bibo:doi	10.1210/clinem/dgaa346
bibo:pmid	32474598
has license	no-cc
sha1sum (hex)	a542f0ce9f88fe04365f719919e829efe4d33dba
schema:url	https://doi.org/10.1210/clinem/dgaa346
resource representing a document's title	Predicting mortality due to SARS-CoV-2: A mechanistic score relating obesity and diabetes to COVID-19 outcomes in Mexico
has PubMed Central identifier	PMC7313944
has PubMed identifier	32474598
schema:publication	J Clin Endocrinol Metab
resource representing a document's body	covid:a542f0ce9f88fe04365f719919e829efe4d33dba#body_text
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