Predicting Mortality Due to SARS-CoV-2: A Mechanistic Score Relating Obesity and Diabetes to COVID-19 Outcomes in Mexico | Zendy

Omar Yaxmehen BelloChavolla | Zendy; Jessica Paola Bahena-López | Zendy; Neftalí Eduardo Antonio-Villa | Zendy; Arsenio VargasVázquez | Zendy; Armando González-Díaz | Zendy; Alejandro MárquezSalinas | Zendy; Carlos A. FermínMartínez | Zendy; J. Jesús Naveja | Zendy; Carlos A. AguilarSalinas | Zendy

Open Access

Predicting Mortality Due to SARS-CoV-2: A Mechanistic Score Relating Obesity and Diabetes to COVID-19 Outcomes in Mexico

Author(s) -

Omar Yaxmehen BelloChavolla,

Jessica Paola Bahena-López,

Neftalí Eduardo Antonio-Villa,

Arsenio VargasVázquez,

Armando González-Díaz,

Alejandro MárquezSalinas,

Carlos A. FermínMartínez,

J. Jesús Naveja,

Carlos A. AguilarSalinas

Publication year - 2020

Publication title -

the journal of clinical endocrinology and metabolism

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.206

H-Index - 353

eISSN - 1945-7197

pISSN - 0021-972X

DOI - 10.1210/clinem/dgaa346

Subject(s) - medicine , diabetes mellitus , obesity , immunosuppression , epidemiology , intensive care unit , intensive care medicine , endocrinology

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.

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