Evidence map›Paper›PMID 41581135›Full record

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

Preoperative plasma glial fibrillary acidic protein and postoperative delirium in older adults.

Julianna Liu, Steven E Arnold, Pia Kivisäkk, Hadia Fatima, Eva M Schmitt, Edward R Marcantonio, Alvaro Pascual-Leone, Mouhsin M Shafi, Michele Cavallari, Richard N Jones and 4 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. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Julianna LiuUniversity of Rochester School of Medicine and Dentistry, Rochester, New York, United States.ORCID 0000-0002-1250-1043
Steven E ArnoldMassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States.
Pia KivisäkkMassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States.
Hadia FatimaMassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States.
Eva M SchmittAging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts, United States.
Edward R MarcantonioDivision of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States.ORCID 0000-0002-2911-4250
Alvaro Pascual-LeoneHinda and Arthur Marcus Institute for Aging Research and Deanna and Sidney Wolk Center for Memory Health, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts, United States.
Mouhsin M ShafiDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States.ORCID 0000-0002-4531-1967
Michele CavallariAging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts, United States.ORCID 0000-0003-1876-639X
Richard N JonesDepartments of Psychiatry and Human Behavior and Neurology, Warren Alpert Medical School, Brown University, Providence, Rhode Island, United States.ORCID 0000-0002-1049-218X
Long H NgoDivision of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States.
Sharon K InouyeAging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts, United States.
Sarinnapha M VasunilashornDivision of General Medicine, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States.
Tamara G FongAging Brain Center, Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts, United States.

Funding

The Role of Inflammation in the Pathophysiology of Delirium and its Associated Long-Term Cognitive DeclineP01AG031720 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI INOUYE, SHARON K. · 2010 to 2022
$26.7M
READI-SET-GO: Researching Efficient Approaches to Delirium Identification - Sustaining Effective Translation to create Gero-friendly OrganizationsR01AG030618 · NIA · PENNSYLVANIA STATE UNIVERSITY, THE · PI DONNA Marie FICK, EDWARD R MARCANTONIO · 2008 to 2026
$7.9M
Advancing the Understanding of Postoperative Delirium Mechanisms via Multi-OmicsR01AG051658 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI TOWIA A. LIBERMANN, EDWARD R MARCANTONIO · 2016 to 2026
$5.9M
Brain Vulnerability in Delirium and Alzheimer’s Disease and Related Dementias: Intersection of Polygenic Risk and InflammationR01AG079864 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SARINNAPHA VASUNILASHORN · 2023 to 2026
$3.3M
Personalized brain activity modulation to improve balance and cognition in elderly fallersR01AG059089 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI MANOR, BRADLEY D. · 2018 to 2022
$3.2M
Multifocal transcranial current stimulation for cognitive and motor dysfunction in dementiaR01AG076708 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI MANOR, BRADLEY D., PASCUAL-LEONE, ALVARO · 2022 to 2024
$2.3M
Greater Boston Medical Student Training in Aging ResearchT35AG038027 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI DRIVER, JANE A, MCLAUGHLIN-GAVIN, CARA · 2010 to 2024
$991k
NIA NIH HHS P01 AG031720NIA NIH HHS R01 AG030618NIA NIH HHS R01 AG051658NIA NIH HHS R01 AG059089NIA NIH HHS R01 AG076708NIA NIH HHS R01 AG079864NIA NIH HHS T35 AG038027NIH HHS P01AG031720
6 · The paper itself

Abstract

backgroundDelirium is a common complication of hospitalization with poor outcomes, but its underlying pathophysiology is poorly understood. We investigated the association of preoperative glial fibrillary acidic protein (GFAP), a biomarker of reactive astrocytosis, with delirium incidence and severity.

methodsData were obtained from the ongoing prospective successful aging after elective surgery (SAGES) study. GFAP was measured in preoperative plasma (n = 529). Postoperative delirium incidence and severity were measured using the confusion assessment method (CAM) and CAM-S (0-19, 19 worst), respectively. A multivariable generalized linear model (GLM) with log link and binary or Poisson error distribution was used to estimate the relative risk of delirium by GFAP quartile scale, and GLM with identity link was used to examine the association of preoperative GFAP and delirium severity.

resultsOverall mean preoperative GFAP value was 289.6 ± 153.3 pg/mL; mean value by quartile (Q) was 148.1 ± 28.6 pg/mL for Q1, 220.5 ± 19.8 pg/mL for Q2, 298.2 ± 28.4 pg/mL for Q3, and 503.4 ± 128.3 pg/mL for Q4. Delirium incidence by GFAP level was 16% in Q1, 24% in Q2, 25% in Q3, and 28% in Q4 (Cochran trend test P-value = 0.031; adjusted P-value = 0.205). Higher GFAP levels (fourth vs. first quartile) were associated with greater risk of incident delirium (adjusted relative risk 1.70, 95% confidence interval [CI]: 1.01-2.86) and greater delirium severity (adjusted mean difference 0.86, 95% CI: 0.004-1.71).

conclusionsHigh preoperative plasma GFAP was associated with increased delirium incidence and severity, suggesting GFAP may serve as a risk marker for delirium. Brain vulnerability in the setting of astrocytosis may contribute to delirium pathophysiology.

Indexed as

DeliriumGlial Fibrillary Acidic ProteinPostoperative ComplicationsAgedAged, 80 and overBiomarkersFemaleHumansIncidenceMalePreoperative PeriodProspective StudiesRisk FactorsSeverity of Illness IndexBiomarkersGFAP protein, humanGlial Fibrillary Acidic ProteinDeliriumDelirium severityGFAP

Identifiers

PMID41581135
PMCPMC13017440

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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.