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Association of epigenetic age and outcome in critically Ill patients

datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg04:Educação de Qualidade
dc.contributor.authorSharma-Oates, Archana
dc.contributor.authorSullivan, Jack
dc.contributor.authorPestana, Daniel
dc.contributor.authorSantos, Claudia C. dos
dc.contributor.authorBinnie, Alexandra
dc.contributor.authorLord, Janet M.
dc.date.accessioned2026-04-24T09:15:23Z
dc.date.available2026-04-24T09:15:23Z
dc.date.issued2024-02
dc.description.abstractOBJECTIVES: DNA methylation can be used to determine an individual’s biological age, as opposed to chronological age, an indicator of underlying health status. This study aimed to assess epigenetic age in critically ill patients with and without sepsis to determine if higher epigenetic age is associated with admission diagnosis or mortality. DESIGN: Secondary analysis of whole blood DNA methylation data generated from a nested case–control study of critically ill septic and nonseptic patients. SETTING: Four tertiary care hospitals in Canada. INTERVENTIONS: None. PATIENTS: Critically ill patients with and without sepsis. MEASUREMENTS AND MAIN RESULTS: Epigenetic age was derived from DNA methylation data using the Hannum and PhenoAge algorithms and deviation from the patient’s chronological age in years was determined. Of the 66 patients with sepsis, 34 were male (51.5%), the mean age was 65.03 years and 25 patients (37.8%) died before discharge. Of the 68 nonseptic patients, 47 were male (69.1%), the mean age was 64.92 years and 25 (36.7%) died before discharge. Epigenetic age calculated using the PhenoAge algorithm showed a significant age acceleration of 4.97 years in septic patients (p = 0.045), but no significant acceleration in nonseptic patients. Epigenetic age calculated using the Hannum algorithm showed no significant acceleration in the septic or nonseptic patients. Similarly, in the combined septic and nonseptic cohorts, nonsurvivors showed an epigenetic age acceleration of 7.62 years (p = 0.004) using the PhenoAge algorithm while survivors showed no significant age acceleration. Survivor status was not associated with age acceleration using the Hannum algorithm.eng
dc.identifier.doi10.1097/cce.0000000000001044
dc.identifier.issn2639-8028
dc.identifier.urihttp://hdl.handle.net/10400.1/28763
dc.language.isoeng
dc.peerreviewedyes
dc.publisherLippincott, Williams & Wilkins
dc.relation.ispartofCritical Care Explorations
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBiological age
dc.subjectCritical illness
dc.subjectDNA methylation
dc.subjectEpigenetic clocks
dc.subjectSepsis
dc.titleAssociation of epigenetic age and outcome in critically Ill patientseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue2
oaire.citation.titleCritical Care Explorations
oaire.citation.volume6
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNamePestana
person.givenNameDaniel
person.identifier.orcid0009-0001-9530-6349
relation.isAuthorOfPublicationf0038108-115f-4504-92fc-3787ab021204
relation.isAuthorOfPublication.latestForDiscoveryf0038108-115f-4504-92fc-3787ab021204

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