Open AccessAdaptive Metabolic and Inflammatory Responses Identified Using Accelerated Aging Metrics Are Linked to Adverse Outcomes in Severe SARS-CoV-2 Infection
Author(s) -
Alejandro MárquezSalinas,
Carlos A. FermínMartínez,
Neftalí Eduardo Antonio-Villa,
Arsenio VargasVázquez,
Enrique C. Guerra,
Alejandro Campos-Muñoz,
Lilian ZavalaRomero,
Roopa Mehta,
Jessica Paola Bahena-López,
Edgar OrtízBrizuela,
María Fernanda González-Lara,
Carla M. RománMontes,
Bernardo Alfonso Martínez-Guerra,
Alfredo PoncedeLeón,
José SifuentesOsornio,
Luis Miguel GutiérrezRobledo,
Carlos A. AguilarSalinas,
Omar Yaxmehen BelloChavolla
Publication year - 2021
Publication title -
the journals of gerontology series a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.134
H-Index - 189
eISSN - 1758-535X
pISSN - 1079-5006
DOI - 10.1093/gerona/glab078
Subject(s) - medicine , adverse effect , intensive care unit , retrospective cohort study , cohort , proportional hazards model , severity of illness , intensive care medicine
Chronological age (CA) is a predictor of adverse coronavirus disease 2019 (COVID-19) outcomes; however, CA alone does not capture individual responses to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Here, we evaluated the influence of aging metrics PhenoAge and PhenoAgeAccel to predict adverse COVID-19 outcomes. Furthermore, we sought to model adaptive metabolic and inflammatory responses to severe SARS-CoV-2 infection using individual PhenoAge components.
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