Evidence map›Paper›PMID 39148434›Full record

ArticleAge and ageing2024

Incidence of post-operative delirium increases as severity of frailty increases.

April Ehrlich, Esther S Oh, Kevin J Psoter, Dianne Bettick, Nae-Yuh Wang, Susan Gearhart, Frederick Sieber

Abstract read
In one paragraph

Article in Age and ageing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Surgery in Older Cancer Patients.Current oncology reports · 2026
    Review
  4. Article
  5. Article
  6. Article
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

7 authors.

April EhrlichDivision of Geriatric Medicine and Gerontology, Department of Medicine, the Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0003-0325-0235
Esther S OhDivision of Geriatric Medicine and Gerontology, Department of Medicine, the Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kevin J PsoterDivision of General Pediatrics, Department of Pediatrics, the Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Dianne BettickJohns Hopkins Bayview Medical Center, Baltimore, MD, USA.
Nae-Yuh WangDepartments of Medicine, Biostatistics, and Epidemiology, Johns Hopkins Medical Institutions, Baltimore, MD, USA.
Susan GearhartDepartment of Surgery, the Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Frederick SieberDepartment of Anesthesiology and Critical Care Medicine, the Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
Addressing Hearing Loss as a Common Unmet Contributor to Neuropsychiatric SymptomsR01AG076525 · NIA · JOHNS HOPKINS UNIVERSITY · PI CARRIE L NIEMAN, Esther Seunghee Oh · 2022 to 2026
$3.9M
Health Services and Outcomes Research for Aging PopulationsT32AG066576 · NIA · JOHNS HOPKINS UNIVERSITY · PI CYNTHIA Melinda BOYD, Jennifer L. Wolff · 2020 to 2026
$3.8M
Novel Blood Biomarker of Alzheimer's disease Using Oral Glucose ToleranceR01AG057725 · NIA · JOHNS HOPKINS UNIVERSITY · PI OH, ESTHER SEUNGHEE · 2017 to 2021
$2.4M
Does vestibular loss predict falls in patients with Alzheimer's Disease?R01AG057667 · NIA · JOHNS HOPKINS UNIVERSITY · PI OH, ESTHER SEUNGHEE · 2018 to 2022
$1.8M
NCATS NIH HHS R01AG076525NCATS NIH HHS UL1 TR003098NIA NIH HHS R01 AG057667NIA NIH HHS R01 AG057725NIA NIH HHS R01 AG076525NIA NIH HHS T32 AG066576NIA NIH HHS T32AG066576NIH HHS UL1TR003098
6 · The paper itself

Abstract

objectiveThe surgical population is ageing and often frail. Frailty increases the risk for poor post-operative outcomes such as delirium, which carries significant morbidity, mortality and cost. Frailty is often measured in a binary manner, limiting pre-operative counselling. The goal of this study was to determine the relationship between categorical frailty severity level and post-operative delirium.

methodsWe performed an analysis of a retrospective cohort of older adults from 12 January 2018 to 3 January 2020 admitted to a tertiary medical center for elective surgery. All participants underwent frailty screening prior to inpatient elective surgery with at least two post-operative delirium assessments. Planned ICU admissions were excluded. Procedures were risk-stratified by the Operative Stress Score (OSS). Categorical frailty severity level (Not Frail, Mild, Moderate, and Severe Frailty) was measured using the Edmonton Frail Scale. Delirium was determined using the 4 A's Test and Confusion Assessment Method-Intensive Care Unit.

resultsIn sum, 324 patients were included. The overall post-operative delirium incidence was 4.6% (15 individuals), which increased significantly as the categorical frailty severity level increased (2% not frail, 6% mild frailty, 23% moderate frailty; P < 0.001) corresponding to increasing odds of delirium (OR 2.57 [0.62, 10.66] mild vs. not frail; OR 12.10 [3.57, 40.99] moderate vs. not frail).

conclusionsIncidence of post-operative delirium increases as categorical frailty severity level increases. This suggests that frailty severity should be considered when counselling older adults about their risk for post-operative delirium prior to surgery.

Indexed as

DeliriumFrailtyPostoperative ComplicationsAgedAged, 80 and overElective Surgical ProceduresFemaleFrail ElderlyGeriatric AssessmentHumansIncidenceMaleRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexdeliriumsEdmonton Frail Scalefrailolder peoplepost-operativeseverity

Identifiers

PMID39148434
PMCPMC11327404

What OpenQuestion holds

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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.