Evidence map›Paper›PMID 38626720›Full record

ArticleThe Journal of surgical research2024

A Mediation Analysis Examining High Risk, Anticholinergic Medication Use, Delirium, and Dementia After Major Surgery.

Sanjay Mohanty, Heidi Lindroth, Lava Timsina, Emma Holler, Peter Jenkins, Damaris Ortiz, Jennifer Hur, Anna Gillio, Ben Zarzaur, Malaz Boustani

Open access · greenAbstract read
In one paragraph

Article in The Journal of surgical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

10 authors at 6 institutions in 1 country.

Sanjay MohantyDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana; Center for Health Innovation and Implementation Science, Indianapolis, Indiana. Electronic address: mohantys@iu.edu.
Heidi LindrothNursing Research Division, Department of Nursing, Mayo Clinic, Rochester, Minnesota.
Lava TimsinaDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Emma HollerDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, Indiana.
Peter JenkinsDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Damaris OrtizDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana; Center for Health Innovation and Implementation Science, Indianapolis, Indiana.
Jennifer HurDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Anna GillioDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Ben ZarzaurDivision of Acute Care and Regional General Surgery, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Malaz BoustaniCenter for Health Innovation and Implementation Science, Indianapolis, Indiana; Regenstrief Institute, Indiana University Center of Aging Research, Indianapolis, Indiana.
Indiana University School of MedicineIndiana University Health · USIndiana University Bloomington · USMayo Clinic · USRegenstrief Institute · USUniversity of Wisconsin–Madison · US

Funding

Using Routine Care Electronic Medical Record Data and Artificial Intelligence to Develop a Passive Digital Marker to Predict Postoperative DeliriumK23AG071945 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI Sanjay Mohanty · 2022 to 2026
$687k
NIA NIH HHS K23 AG071945
6 · The paper itself

Abstract

introductionAnticholinergic medications are known to cause adverse cognitive effects in community-dwelling older adults and medical inpatients, including dementia. The prevalence with which such medications are prescribed in older adults undergoing major surgery is not well described nor is their mediating relationship with delirium and dementia. We sought to determine the prevalence of high-risk medication use in major surgery patients and their relationship with the subsequent development of dementia.

methodsThis was a retrospective cohort study which used data between January 2013 and December 2019, in a large midwestern health system, including sixteen hospitals. All patients over age 50 undergoing surgery requiring an inpatient stay were included. The primary exposure was the number of doses of anticholinergic medications delivered during the hospital stay. The primary outcome was a new diagnosis of Alzheimer's disease and related dementias at 1-y postsurgery. Regression methods and a mediation analysis were used to explore relationships between anticholinergic medication usage, delirium, and dementia.

resultsThere were 39,665 patients included, with a median age of 66. Most patients were exposed to anticholinergic medications (35,957/39,665; 91%), and 7588/39,665 (19.1%) patients received six or more doses during their hospital stay. Patients with at least six doses of these medications were more likely to be female, black, and with a lower American Society of Anesthesiologists class. Upon adjusted analysis, high doses of anticholinergic medications were associated with increased odds of dementia at 1 y relative to those with no exposure (odds ratio 2.7; 95% confidence interval 2.2-3.3). On mediation analysis, postoperative delirium mediated the effect of anticholinergic medications on dementia, explaining an estimated 57.6% of their association.

conclusionsHigh doses of anticholinergic medications are common in major surgery patients and, in part via a mediating relationship with postoperative delirium, are associated with the development of dementia 1 y following surgery. Strategies to decrease the use of these medications and encourage the use of alternatives may improve long-term cognitive recovery.

Indexed as

Cholinergic AntagonistsDeliriumDementiaPostoperative ComplicationsAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrevalenceRetrospective StudiesRisk FactorsSurgical Procedures, OperativeCholinergic AntagonistsAnticholinergicsDementiaGeriatricsPostoperative deliriumSurgery

Identifiers

PMID38626720
PMCPMC11144094
OpenAlexW4394811218

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

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.