Evidence map›Paper›PMID 41817525›Full record

Observational studyJAMA network open2026

Perioperative Best Practices and Delirium in Patients With Cognitive Impairment.

Danielle Scharp, Kerry Meyers, Girish Nadkarni, Alex Federman, Catherine Sarkisian, Matthew A Levin, Spencer Perry, Pooja Gownivaripally, Natalia N Egorova, Yuxia Ouyang and 2 more

Abstract readObservational Study
In one paragraph

Observational study in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Danielle ScharpDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Kerry MeyersDepartment of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, New York.
Girish NadkarniDepartment of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, New York.
Alex FedermanDivision of General Internal Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Catherine SarkisianDivision of General Internal Medicine and Health Services Research, David Geffen School of Medicine, University California Los Angeles, Los Angeles.
Matthew A LevinDepartment of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, New York.
Spencer PerryDepartment of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, New York.
Pooja GownivaripallyDepartment of AI and Human Health, Icahn School of Medicine at Mount Sinai, New York, New York.
Natalia N EgorovaCenter for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Yuxia OuyangCenter for Biostatistics, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Ira HoferDepartment of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York.
Susana VacasDepartment of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts.

Funding

Training Core (I)U54AG063546 · NIA · BROWN UNIVERSITY · PI JOSEPH E. GAUGLER · 2019 to 2026
$125.9M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Natural Language Processing and Automated Speech Recognition to Identify Older Adults with Cognitive Impairment SupplementR01AG066471 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FEDERMAN, ALEX D, WISNIVESKY, JUAN P · 2020 to 2024
$4.5M
Research Training for the Care of Vulnerable Older Adults with Alzheimer’s Disease and Related Dementias and Other Chronic ConditionsT32AG066598 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Alex D Federman · 2020 to 2026
$2.3M
Midcareer Award in Patient-Oriented Community-Academic Partnered Aging ResearchK24AG047899 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SARKISIAN, CATHERINE A · 2014 to 2025
$2.0M
Mechanisms Mediating Postoperative Neurocognitive DisordersK23GM132795 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI VACAS, SUSANA · 2019 to 2023
$1.0M
Role of Circadian Rhythms and Sleep Disorders in Perioperative Neurocognitive Disorders TrajectoriesR35GM159961 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI Susana Vacas · 2025 to 2026
$908k
Use of Machine Learning on Integrated Electronic Medical Record, Genetic andWaveform Data to Predict Perioperative Cardiorespiratory InstabilityK01HL150318 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HOFER, IRA · 2020 to 2024
$855k
NCATS NIH HHS UL1 TR001881NHLBI NIH HHS K01 HL150318NIA NIH HHS K24 AG047899NIA NIH HHS R01 AG066471NIA NIH HHS T32 AG066598NIA NIH HHS U54 AG063546NIGMS NIH HHS K23 GM132795NIGMS NIH HHS R35 GM159961
6 · The paper itself

Abstract

Importance: Despite substantial advances in perioperative care, patients with cognitive impairment are at increased risk for postoperative delirium. Understanding the association of perioperative best practices with delirium prevention may inform tailored strategies for this high-risk group. Objective: To examine associations between anesthesia-related best practices and postoperative delirium in patients with cognitive impairment. Design, Setting, and Participants: This observational cohort study involved a secondary, exploratory analysis of a randomized clinical trial of a clinical decision support system designed to identify patients with cognitive impairment and promote adherence to best practices. The study was conducted between 2023 and 2024 at perioperative areas at a large, urban, academic medical center in New York. Participants were adults scheduled for surgery with preoperative cognitive impairment who stayed in the hospital for at least 1 postoperative night and underwent delirium assessment. Patients undergoing organ donation surgery were excluded. Exposures: Twelve perioperative best practices across 5 domains were selected and tracked, reflecting avoidance of potentially inappropriate medications, perioperative glycemic control, hemodynamic management, normothermia maintenance, and anesthetic monitoring. Main Outcomes and Measures: The primary outcome was postoperative delirium assessed by the 4 A's Test. Associations between best practices and postoperative delirium were assessed using logistic regression models. Results: The study included 1255 patients with cognitive impairment (mean [SD] age, 65.0 [15.1] years; 652 male [52%]), and 426 (33.9%; 95% CI, 31.4%-36.6%) developed delirium. Best practices, such as maintaining glucose less than 200 mg/dL (adjusted odds ratio [aOR], 0.41; 95% CI, 0.24-0.69; P = .001), using a temperature probe (aOR, 0.65; 95% CI, 0.45-0.96; P = .03), and maintaining temperature greater than 36 °C (aOR, 0.64; 95% CI, 0.43-0.94; P = .03), were associated with reduced delirium odds in separate models. No individual practice remained significant when analyzed concurrently, apart from postoperative glucose monitoring (aOR, 1.54; 95% CI, 1.11-2.13; P = .009). Conclusions and Relevance: This cohort study of surgical patients with cognitive impairment found that current perioperative strategies derived from established recommendations, while foundational, were insufficient to prevent postoperative delirium. The high rate of postoperative delirium highlights the need to refine perioperative care pathways and identify novel strategies that are most effective for cognitively vulnerable populations. Tailored interventions that integrate electronic health record-derived perioperative data and scalable technological tools in anesthesia workflows can help identify and manage high-risk populations.

Indexed as

Cognitive DysfunctionDeliriumEmergence DeliriumPerioperative CarePostoperative ComplicationsPractice Guidelines as TopicAgedCohort StudiesFemaleHumansMaleMiddle AgedNew York

Identifiers

PMID41817525
PMCPMC13045776

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.