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

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 r...

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書誌詳細
出版年:J Clin Endocrinol Metab
主要な著者: Bello-Chavolla, Omar Yaxmehen, Bahena-López, Jessica Paola, Antonio-Villa, Neftali Eduardo, Vargas-Vázquez, Arsenio, González-Díaz, Armando, Márquez-Salinas, Alejandro, Fermín-Martínez, Carlos A, Naveja, J Jesús, Aguilar-Salinas, Carlos A
フォーマット: Artigo
言語:Inglês
出版事項: Oxford University Press 2020
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7313944/
https://ncbi.nlm.nih.gov/pubmed/32474598
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1210/clinem/dgaa346
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