Evidence map›Paper›PMID 40248788›Full record

ArticleJournal of anaesthesiology, clinical pharmacology

Development and validation of a prognostic model for postoperative hypotension in patients receiving epidural analgesia.

Carlos E Guerra-Londono, Erika Taco Vasquez, Efrain Riveros, Ehsan Noori, David Greiver, Srikanth Pillai, Theodore Schiff, James Soetedjo, Maylyn Wu, Jaime Garzon Serrano

Abstract read
In one paragraph

Article in Journal of anaesthesiology, clinical pharmacology. 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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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.

Carlos E Guerra-LondonoDepartment of Anesthesiology, Pain Management, and Perioperative Medicine, Henry Ford Health, Detroit, Michigan, USA.
Erika Taco VasquezDepartment of Anesthesiology and Perioperative Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Efrain RiverosDepartment of Anesthesiology and Perioperative Medicine, Medical College of Georgia, Augusta, Georgia, USA.
Ehsan NooriWayne State University School of Medicine, Detroit, Michigan, USA.
David GreiverWayne State University School of Medicine, Detroit, Michigan, USA.
Srikanth PillaiWayne State University School of Medicine, Detroit, Michigan, USA.
Theodore SchiffWayne State University School of Medicine, Detroit, Michigan, USA.
James SoetedjoWayne State University School of Medicine, Detroit, Michigan, USA.
Maylyn WuMichigan State University College of Osteopathic Medicine, East Lansing, Michigan, USA.
Jaime Garzon SerranoDepartment of Anesthesiology, Pain Management, and Perioperative Medicine, Henry Ford Health, Detroit, Michigan, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Postoperative hypotension is common in adults receiving epidural analgesia. Although risk factors have been reported in the literature, prognostic models have not been developed or validated. We aimed to develop and validate a multivariable, prognostic model for postoperative hypotension in patients receiving epidural analgesia. Material and Methods: We retrieved retrospective cohort data of adults undergoing abdominal or thoracic surgery at five hospitals between 2014 and 2023 who received epidural analgesia for at least 24 hours after surgery. A systematic literature search helped define Results: In total, 829 participants were included. The incidence of postoperative hypotension was 38.8%. Multivariable analysis identified the following independent prognostic factors: male sex, white race, body mass index, intraoperative hypotension, use of arterial line, bupivacaine concentration of 0.125% (vs. lower concentrations), and anesthesia duration. The error misclassification rate was 67% for multiple logistic regression, 27% for linear discriminant analysis, and 33.4% for random forest model. Conclusion: Using retrospective cohort data, a prognostic model of hypotension produced the best performance results using linear discriminant analysis, with an error misclassification rate of 27%. Further studies are required to perform model optimization for future clinical use.

Indexed as

Epidural analgesiahypotensionprognostic modelsurgery

Identifiers

PMID40248788
PMCPMC12002708

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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.