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Adaptive Metabolic and Inflammatory Responses Identified Using Accelerated Aging Metrics Are Linked to Adverse Outcomes in Severe SARS-CoV-2 Infection.

Authors :
Márquez-Salinas A
Fermín-Martínez CA
Antonio-Villa NE
Vargas-Vázquez A
Guerra EC
Campos-Muñoz A
Zavala-Romero L
Mehta R
Bahena-López JP
Ortiz-Brizuela E
González-Lara MF
Roman-Montes CM
Martinez-Guerra BA
Ponce de Leon A
Sifuentes-Osornio J
Gutiérrez-Robledo LM
Aguilar-Salinas CA
Bello-Chavolla OY
Source :
The journals of gerontology. Series A, Biological sciences and medical sciences [J Gerontol A Biol Sci Med Sci] 2021 Jul 13; Vol. 76 (8), pp. e117-e126.
Publication Year :
2021

Abstract

Background: 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.<br />Method: In this retrospective cohort study, we assessed cases admitted to a COVID-19 reference center in Mexico City. PhenoAge and PhenoAgeAccel were estimated using laboratory values at admission. Cox proportional hazards models were fitted to estimate risk for COVID-19 lethality and adverse outcomes (intensive care unit admission, intubation, or death). To explore reproducible patterns which model adaptive responses to SARS-CoV-2 infection, we used k-means clustering using PhenoAge components.<br />Results: We included 1068 subjects of whom 222 presented critical illness and 218 died. PhenoAge was a better predictor of adverse outcomes and lethality compared to CA and SpO2 and its predictive capacity was sustained for all age groups. Patients with responses associated to PhenoAgeAccel >0 had higher risk of death and critical illness compared to those with lower values (log-rank p < .001). Using unsupervised clustering, we identified 4 adaptive responses to SARS-CoV-2 infection: (i) inflammaging associated with CA, (ii) metabolic dysfunction associated with cardiometabolic comorbidities, (iii) unfavorable hematological response, and (iv) response associated with favorable outcomes.<br />Conclusions: Adaptive responses related to accelerated aging metrics are linked to adverse COVID-19 outcomes and have unique and distinguishable features. PhenoAge is a better predictor of adverse outcomes compared to CA.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Details

Language :
English
ISSN :
1758-535X
Volume :
76
Issue :
8
Database :
MEDLINE
Journal :
The journals of gerontology. Series A, Biological sciences and medical sciences
Publication Type :
Academic Journal
Accession number :
33721886
Full Text :
https://doi.org/10.1093/gerona/glab078