Physiological health indexes predict deterioration and mortality in patients with COVID-19: a comparative study.
COVID-19
COVID-19 outcome
COVID-19 prognosis
SARS-CoV-2
biological age
pandemic
Journal
Aging
ISSN: 1945-4589
Titre abrégé: Aging (Albany NY)
Pays: United States
ID NLM: 101508617
Informations de publication
Date de publication:
25 02 2022
25 02 2022
Historique:
received:
04
11
2021
accepted:
11
02
2022
pubmed:
26
2
2022
medline:
25
3
2022
entrez:
25
2
2022
Statut:
ppublish
Résumé
Old age is a crucial risk factor for severe coronavirus disease 2019 (COVID-19), with serious or fatal outcomes disproportionately affecting older adults compared with the rest of the population. We proposed that the physiological health status and biological age, beyond the chronological age itself, could be the driving trends affecting COVID-19 severity and mortality. A total of 155 participants hospitalized with confirmed COVID-19 aged 26-94 years were recruited for the study. Four different physiological summary indices were calculated: Klemera and Doubal's biological age, PhenoAge, physiological dysregulation (PD; globally and in specific systems), and integrated albunemia. All of these indices significantly predicted the risk of death (p < 0.01) after adjusting for chronological age and sex. In all models, men were 2.4-4.4-times more likely to die than women. The global PD was shown to be a good predictor of deterioration, with the odds of deterioration increasing by 41.7% per 0.5-unit increase in the global PD. As for death, the odds also increased by 68.3% per 0.5-unit increase in the global PD. Our results are partly attributed to common chronic diseases that aggravate COVID-19, but they also suggest that the underlying physiological state could capture vulnerability to severe COVID-19 and serve as a tool for prognosis that would, in turn, help inpatient management.
Identifiants
pubmed: 35213841
pii: 203915
doi: 10.18632/aging.203915
pmc: PMC8908924
doi:
Types de publication
Comparative Study
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1611-1626Références
Mech Ageing Dev. 2006 Mar;127(3):240-8
pubmed: 16318865
Aging (Albany NY). 2020 May 29;12(10):9959-9981
pubmed: 32470948
Aging (Albany NY). 2020 Mar 31;12(8):6492-6510
pubmed: 32229705
PLoS One. 2015 Apr 13;10(4):e0122541
pubmed: 25875923
J Gerontol A Biol Sci Med Sci. 2021 Jul 13;76(8):e133-e141
pubmed: 33684206
Ageing Res Rev. 2021 May;67:101308
pubmed: 33621704
Mech Ageing Dev. 2013 Mar;134(3-4):110-7
pubmed: 23376244
J Gerontol A Biol Sci Med Sci. 2013 Jun;68(6):667-74
pubmed: 23213031
Front Immunol. 2020 Aug 07;11:1748
pubmed: 32849623
PLoS One. 2015 Mar 11;10(3):e0116489
pubmed: 25761112
Aging (Albany NY). 2018 Apr 18;10(4):573-591
pubmed: 29676998
Arch Gerontol Geriatr. 2021 Mar-Apr;93:104324
pubmed: 33352430
Aging (Albany NY). 2020 Apr 8;12(8):6490-6491
pubmed: 32268300
Aging Cell. 2015 Dec;14(6):1103-12
pubmed: 26416593
Exp Gerontol. 2014 Sep;57:203-10
pubmed: 24802990