Differences between patients in whom physicians agree versus disagree about the preoperative diagnosis of heart failure.

Cardiac risk assessment Diagnostic agreement Electronic health record Heart failure Non-cardiac surgery Preoperative evaluation

Journal

Journal of clinical anesthesia
ISSN: 1873-4529
Titre abrégé: J Clin Anesth
Pays: United States
ID NLM: 8812166

Informations de publication

Date de publication:
11 2023
Historique:
received: 16 04 2023
revised: 29 06 2023
accepted: 30 07 2023
medline: 12 9 2023
pubmed: 7 8 2023
entrez: 7 8 2023
Statut: ppublish

Résumé

To quantify preoperative heart failure (HF) diagnostic agreement and identify characteristics of patients in whom physicians agreed versus disagreed about the diagnosis. Observational cohort study. Patients undergoing major non-cardiac surgery at an academic center between 2015 and 2019. 40,659 patients undergoing major non-cardiac surgery, among which a stratified subsample of 1018 patients with and without documented HF was reviewed. Via a panel of physicians frequently managing patients with HF (cardiologists, cardiac anesthesiologists, intensivists), detailed chart reviews were performed (two per patient; median review time 32 min per reviewer per patient) to render adjudicated HF diagnoses. Adjudicated diagnostic agreement measures (percent agreement, Krippendorf's alpha) and univariate comparisons (standardized differences) between patients in whom physicians agreed versus disagreed about the preoperative HF diagnosis. Among patients with documented HF, physicians agreed about the diagnosis in 80.0% of cases (consensus positive), disagreed in 13.8% (disagreement), and refuted the diagnosis in 6.3% (consensus negative). Conversely, among patients without documented HF, physicians agreed about the diagnosis in 88.0% (consensus negative), disagreed in 8.4% (disagreement), and refuted the diagnosis in 3.6% (consensus positive). The estimated agreement for the 40,659 cases was 91.1% (95% CI 88.3%-93.9%); Krippendorff's alpha was 0.77 (0.75-0.80). Compared to patients in whom physicians agreed about a HF diagnosis, patients in whom physicians disagreed exhibited fewer guideline-defined HF diagnostic criteria. Physicians usually agree about HF diagnoses adjudicated via chart review, although disagreement is not uncommon and may be partly explained by heterogeneous clinical presentations. Our findings inform preoperative screening processes by identifying patients whose characteristics contribute to physician disagreement via chart review. Clinical Trial Number / Registry URL: Not applicable.

Identifiants

pubmed: 37549434
pii: S0952-8180(23)00176-9
doi: 10.1016/j.jclinane.2023.111226
pii:
doi:

Types de publication

Observational Study Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

111226

Subventions

Organisme : NIDDK NIH HHS
ID : R01 DK133226
Pays : United States
Organisme : NHLBI NIH HHS
ID : L30 HL143700
Pays : United States
Organisme : NHLBI NIH HHS
ID : K23 HL168220
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL158626
Pays : United States
Organisme : NLM NIH HHS
ID : R01 LM013325
Pays : United States

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare: Dr. Mathis receives funding from the US National Institutes of Health (R01DK133226) unrelated to the present work. Dr. Golbus receives funding from the US National Institutes of Health (L30HL143700, 1K23HL168220–01) and National Science Foundation (Grant No. 2014003) and receives salary support by an American Heart Association grant (grant number 20SFRN35370008). Dr. Engoren serves on a data safety monitoring board for use of extracorporeal membrane oxygenation in patients with out-of-hospital cardiac arrest and for use of varying oxygenation strategies for patients with respiratory failure, unrelated to this work. Dr. Sjoding receives funding from the US National Institutes of Health (R01HL158626 and R01LM013325) unrelated to the present work. No other relationships or activities existed that could appear to have influenced the submitted work.

Auteurs

Reed W Kamyszek (RW)

Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.

Noah Newman (N)

Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.

Jacqueline W Ragheb (JW)

Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.

Michael W Sjoding (MW)

Department of Internal Medicine, Division of Pulmonary and Critical Care, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Computational Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.

Hyeon Joo (H)

Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.

Michael D Maile (MD)

Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.

Ruth B Cassidy (RB)

Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.

Jessica R Golbus (JR)

Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.

Milo C Engoren (MC)

Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA.

Michael R Mathis (MR)

Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI, USA; Department of Computational Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA. Electronic address: mathism@med.umich.edu.

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