Evidence map›Paper›PMID 36125032›Full record

Observational studyJournal of the American Geriatrics Society2023

A novel approach for the detection of cognitive impairment and delirium risk in older patients undergoing spine surgery.

Odmara L Barreto Chang, Elizabeth L Whitlock, Aimee D Arias, Elena Tsoy, Isabel E Allen, Judith Hellman, Philip E Bickler, Bruce Miller, Katherine L Possin

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
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  8. Review
  9. Gaps in cognitive care among older patients undergoing spine surgery.Journal of the American Geriatrics Society · 2024
    Observational
  10. Review
  11. 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 1 institution in 1 country.

Odmara L Barreto ChangDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-4781-404X
Elizabeth L WhitlockDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-6868-4301
Aimee D AriasDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California, USA.
Elena TsoyMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California, USA.
Isabel E AllenDepartment of Epidemiology & Biostatistics, University of California, San Francisco, San Francisco, California, USA.
Judith HellmanDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California, USA.
Philip E BicklerDepartment of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California, USA.
Bruce MillerMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California, USA.
Katherine L PossinMemory and Aging Center, Department of Neurology, University of California, San Francisco, San Francisco, California, USA.
University of California, San Francisco · US

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gil Dan Rabinovici · 2019 to 2026
$36.9M
Institutional Career Development Core SupplementKL2TR001870 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KANAYA, ALKA M., SARKAR, URMIMALA · 2016 to 2025
$19.7M
Augmenting Nurse Support and EHR Integration for the Pragmatic Trial of the UCSF-BHAU01NS128913 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Katherine Laurel Possin · 2022 to 2026
$8.2M
Multidisciplinary Research Fellowship in Alzheimer’s disease and Related DementiasT32AG023481 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRUCE L MILLER, HOWARD J ROSEN · 2005 to 2026
$7.4M
US-South American Initiative for Genetic-Neural-Behavioral Interactions in Human Neurodegenerative ResearchR01AG057234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Claudia Duran-Aniotz, Agustin M. Ibanez · 2019 to 2026
$6.1M
Comprehensive Anesthesia Research TrainingT32GM008440 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Judith Hellman · 1996 to 2026
$5.5M
The UCSF Brain Health Assessment for the Detection of Cognitive Impairment Among Diverse Populations in Primary CareUH3NS105557 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL · 2019 to 2021
$4.9M
Reimagining Precision Medicine Approaches to AD DiagnosisR35AG072362 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI POSSIN, KATHERINE LAUREL, RABINOVICI, GIL DAN · 2021 to 2025
$4.8M
NCATS NIH HHS KL2 TR001870NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG057234NIA NIH HHS R35 AG072362NIA NIH HHS T32 AG023481NIGMS NIH HHS T32 GM008440NIH HHS 2T32GM008440NINDS NIH HHS U01 NS128913NINDS NIH HHS UH3 NS105557NINDS NIH HHS UH3NS10557NINDS NIH HHS UH3NS10557-03S1
6 · The paper itself

Abstract

backgroundPostoperative delirium is a common postsurgical complication in older patients and is associated with high morbidity and mortality. The objective of this study was to determine whether a digital cognitive assessment and patient characteristics could identify those at-risk.

methodsPatients 65 years and older undergoing spine surgeries ≥3 h were evaluated as part of a single-center prospective observational cohort study at an academic medical center, from January 1, 2019, to December 31, 2020. Of 220 eligible patients, 161 were enrolled and 152 completed the study. The primary outcome of postoperative delirium was measured by the Confusion Assessment Method for the Intensive Care Unit or the Nursing Delirium Screening Scale, administered by trained nursing staff independent from the study protocol. Baseline cognitive impairment was identified using the tablet-based TabCAT Brain Health Assessment.

resultsOf the 152 patients included in this study, 46% were women. The mean [SD] age was 72 [5.4] years. Baseline cognitive impairment was identified in 38% of participants, and 26% had postoperative delirium. In multivariable analysis, impaired Brain Health Assessment Cognitive Score (OR 2.45; 95% CI, 1.05-5.67; p = 0.037), depression (OR 4.54; 95% CI, 1.73-11.89; p = 0.002), and higher surgical complexity Tier 4 (OR 5.88; 95% CI, 1.55-22.26; p = 0.009) were associated with postoperative delirium. The multivariate model was 72% accurate for predicting postoperative delirium, compared to 45% for the electronic medical record-based risk stratification model currently in use.

conclusionIn this prospective cohort study of spine surgery patients, age, cognitive impairment, depression, and surgical complexity identified patients at high risk for postoperative delirium. Integration of scalable digital assessments into preoperative workflows could identify high-risk patients, automate decision support for timely interventions that can improve patient outcomes and lower hospital costs, and provide a baseline cognitive assessment to monitor for postoperative cognitive change.

Indexed as

Cognitive DysfunctionDeliriumEmergence DeliriumAgedFemaleHumansMalePostoperative ComplicationsProspective StudiesRisk Factorsanesthesia and surgerycognitive assessmentpostoperative deliriumpostoperative outcomes

Identifiers

PMID36125032
PMCPMC9870968
OpenAlexW4296781906

What OpenQuestion holds

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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.