Evidence map›Paper›PMID 41581124›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026

Exploring the association between epigenetic age and intensive care unit delirium: a pilot feasibility study.

Sikandar H Khan, Sara C Lahue, Anthony J Perkins, Maya Haouili, Jordan Baechle, Matias Fuentealba, Samreen Jawaid, Loren Lavadia, Sophia Wang, Stephanie Roa Diaz and 6 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Sikandar H KhanIndiana University Center for Aging Research, Regenstrief Institute, Indianapolis, Indiana, United States.ORCID 0000-0003-4254-3436
Sara C LahueDepartment of Neurology, School of Medicine, and the UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, California, United States.
Anthony J PerkinsDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Maya HaouiliDepartment of Internal Medicine, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Jordan BaechleBuck Institute for Research on Aging, Novato, California, United States.
Matias FuentealbaBuck Institute for Research on Aging, Novato, California, United States.
Samreen JawaidDivision of Pulmonary, Critical Care, Sleep, and Occupational Medicine, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Loren LavadiaIndiana University School of Medicine, Indianapolis, Indiana, United States.
Sophia WangDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Stephanie Roa DiazBuck Institute for Research on Aging, Novato, California, United States.
Thelma Y GarciaBuck Institute for Research on Aging, Novato, California, United States.
David FurmanBuck Institute for Research on Aging, Novato, California, United States.ORCID 0000-0002-3654-9519
Sujuan GaoDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana, United States.
Malaz A BoustaniIndiana University Center for Aging Research, Regenstrief Institute, Indianapolis, Indiana, United States.
Babar KhanIndiana University Center for Aging Research, Regenstrief Institute, Indianapolis, Indiana, United States.
John C NewmanBuck Institute for Research on Aging, Novato, California, United States.ORCID 0000-0002-8455-0100

Funding

Reactive Oxygen Species in Respiratory Failure, Delirium, and Post-ICU Cognitive ImpairmentK76AG074925 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Sikandar Hayat Khan · 2022 to 2026
$1.1M
Academic Leadership Award for Statistical Training in Multidisciplinary Aging ResearchK07AG076659 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI SUJUAN GAO · 2022 to 2026
$777k
Characterizing the Relationship Between Delirium and Biological Age in Traumatic Brain Injury: Implications for Cognitive Decline in Older AdultsK76AG083285 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sara Catherine LaHue · 2024 to 2026
$729k
Buck Institute intramural fundsDoris Duke Foundation 2023-0240Larry L. Hillblom FoundationNIA NIH HHS K07 AG076659NIA NIH HHS K76 AG074925NIA NIH HHS K76 AG083285NIH HHS AG068025NIH HHS K76AG074925NIH HHS K76AG083285NIH HHS RO3AG074035Norn GroupUCSF Bakar Aging Research InstituteUCSF Bakar Aging Research Institute Investigator AwardUCSF Claude D. Pepper Older Americans Independence Center
6 · The paper itself

Abstract

Epigenetic clocks (ECs) measuring epigenetic age (EA) and epigenetic age acceleration (EAA) are biomarkers of biological aging, but their association with intensive care unit (ICU) delirium remains underexplored. This is a pilot study utilizing blood samples from participants enrolled in Pharmacological Management of Delirium. Serum samples were collected within 48 h of ICU admission. DNA isolated from serum clots was analyzed in triplicate for DNA methylation (DNAm). EA and EAA were computed for the Horvath, Hannum, PhenoAge, Horvath Skin & Blood, Telomere Length, Best Linear Unbiased Predictor, Elastic Network (EN), GrimAge1, GrimAge2, and DunedinPACE ECs from DNAm data. Principal-component clocks were also assessed. Coma, delirium, and delirium severity were assessed twice daily. LOS was assessed using electronic medical records. Spearman correlations were computed for relationships between EA/EAA and delirium outcomes using SAS. A convenience sample of 20 ICU patients with delirium was included. Mean age was 66.7 years (SD = 11.3), 12% were female, and 50% were Black. The median delirium/coma-free days (DCFD) by day 8 were 3 (IQR 0, 6.5). The intra-class correlation coefficients for EA ranged from 0.893 to 0.999, indicating good reliability and minimal variability across the replicates. EN EAA was moderately inversely correlated with mean CAM-ICU-7 scores by day 8 (Spearman r = -0.54, p = .01) and discharge (r = -0.48, p = .03). No other correlations between other EA/EAAs and delirium, ICU or hospital LOS reached statistical significance. This pilot study demonstrates the feasibility of using ECs from serum clots. Larger studies are needed to assess the relationship between EA/EAA and delirium.

Indexed as

AgingDeliriumEpigenesis, GeneticIntensive Care UnitsAgedDNA MethylationFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsAgingDNA methylationEpigenetic age accelerationEpigenetic clock

Identifiers

PMID41581124
PMCPMC13036837

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.