Evidence map›Paper›PMID 37156856›Full record

ArticleScientific reports2023

Age-dependent differences and similarities in the plasma proteomic signature of postoperative delirium.

Rachel L Oren, Erin J Kim, Anna K Leonard, Bernard Rosner, Lori B Chibnik, Sudeshna Das, Francine Grodstein, Gregory Crosby, Deborah J Culley

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Review
  5. Article
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  8. Review
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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

9 authors at 5 institutions in 1 country.

Rachel L OrenDepartment of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Erin J KimDepartment of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Anna K LeonardDepartment of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA.
Bernard RosnerHarvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Lori B ChibnikDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sudeshna DasDepartment of Neurology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA.
Francine GrodsteinRush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, USA.
Gregory CrosbyDepartment of Anesthesiology, Perioperative and Pain Medicine, Harvard Medical School, Brigham and Women's Hospital, 75 Francis St, Boston, MA, 02115, USA. gcrosby@bwh.harvard.edu.
Deborah J CulleyDepartment of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
University of Pennsylvania · USBrigham and Women's Hospital · USMassachusetts General Hospital · USHarvard University · USRush University Medical Center · US

Funding

Microglial mechanisms of postoperative CNS inflammation and cognitive declineR01AG051812 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI BUTOVSKY, OLEG, CROSBY, GREGORY · 2016 to 2020
$2.7M
Cognition and the immunology of postoperative outcomesR01GM132668 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI CULLEY, DEBORAH J · 2019 to 2024
$2.7M
Preoperative cognitive impairment and adverse geriatric surgical outcomes: role of dysfunctional immunityR56AG055833 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI CULLEY, DEBORAH J · 2018 to 2018
$759k
Circulating Extracellular Vesicles as Biomarkers of Postoperative DeliriumR21AG061696 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI CROSBY, GREGORY · 2019 to 2020
$492k
NIA NIH HHS R01 AG051812NIA NIH HHS R21 AG061696NIA NIH HHS R56 AG055833NIGMS NIH HHS R01 GM132668NIH HHS AG051812NIH HHS GM132668
6 · The paper itself

Abstract

Delirium is an acute confusional state and a common postoperative morbidity. Prevalent in older adults, delirium occurs at other ages but it is unclear whether the pathophysiology and biomarkers for the condition are independent of age. We quantified expression of 273 plasma proteins involved in inflammation and cardiovascular or neurologic conditions in 34 middle-aged and 42 older patients before and one day after elective spine surgery. Delirium was identified by the 3D-CAM and comprehensive chart review. Protein expression was measure by Proximity Extension Assay and results were analyzed by logistic regression, gene set enrichment, and protein-protein interactions. Twenty-two patients developed delirium postoperatively (14 older; 8 middle-aged) and 89 proteins in pre- or 1-day postoperative plasma were associated with delirium. A few proteins (IL-8, LTBR, TNF-R2 postoperatively; IL-8, IL-6, LIF, ASGR1 by pre- to postoperative change) and 12 networks were common to delirium in both age groups. However, there were marked differences in the delirium proteome by age; older patients had many more delirium-associated proteins and pathways than middle-aged subjects even though both had the same clinical syndrome. Therefore, there are age-dependent similarities and differences in the plasma proteomic signature of postoperative delirium, which may signify age differences in pathogenesis of the syndrome.

Indexed as

DeliriumEmergence DeliriumAgedAsialoglycoprotein ReceptorHumansInterleukin-8Middle AgedPostoperative ComplicationsProteomicsASGR1 protein, humanAsialoglycoprotein ReceptorInterleukin-8

Identifiers

PMID37156856
PMCPMC10167206
OpenAlexW4375955722

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Registered trials

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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.