About: COVID-19 severity is predicted by earlier evidence of accelerated aging

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	COVID-19 severity is predicted by earlier evidence of accelerated aging
Creator	Beckman, Kenneth Atkins, Janice Delgado, João Kuchel, George Kuo, Chia-Ling Levine, Morgan Masoli, Jane Melzer, David Pilling, Luke Tignanelli, Christopher
source	MedRxiv; Medline; PMC
abstract	With no known treatments or vaccine, COVID-19 presents a major threat, particularly to older adults, who account for the majority of severe illness and deaths. The age-related susceptibility is partly explained by increased comorbidities including dementia and type II diabetes [1]. While it is unclear why these diseases predispose risk, we hypothesize that increased biological age, rather than chronological age, may be driving disease-related trends in COVID-19 severity with age. To test this hypothesis, we applied our previously validated biological age measure (PhenoAge) [2] composed of chronological age and nine clinical chemistry biomarkers to data of 347,751 participants from a large community cohort in the United Kingdom (UK Biobank), recruited between 2006 and 2010. Other data included disease diagnoses (to 2017), mortality data (to 2020), and the UK national COVID-19 test results (to May 31, 2020) [3]. Accelerated aging 10–14 years prior to the start of the COVID-19 pandemic was associated with test positivity (OR=1.15 per 5-year acceleration, 95% CI: 1.08 to 1.21, p=3.2×10(−6)) and all-cause mortality with test-confirmed COVID-19 (OR=1.25, per 5-year acceleration, 95% CI: 1.09 to 1.44, p=0.002) after adjustment for demographics including current chronological age and pre-existing diseases or conditions. The corresponding areas under the curves were 0.669 and 0.803, respectively. Biological aging, as captured by PhenoAge, is a better predictor of COVID-19 severity than chronological age, and may inform risk stratification initiatives, while also elucidating possible underlying mechanisms, particularly those related to inflammaging.
has issue date	2020-07-11(xsd:dateTime)
bibo:doi	10.1101/2020.07.10.20147777
bibo:pmid	32676624
has license	cc-by-nc-nd
sha1sum (hex)	7e0efab01000f4b7e0d58290c7e1597877b6e9c1
schema:url	https://doi.org/10.1101/2020.07.10.20147777
resource representing a document's title	COVID-19 severity is predicted by earlier evidence of accelerated aging
has PubMed Central identifier	PMC7359549
has PubMed identifier	32676624
schema:publication	medRxiv
resource representing a document's body	covid:7e0efab01000f4b7e0d58290c7e1597877b6e9c1#body_text
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