Physician judgement in predicting obstructive coronary artery disease and adverse events in chest pain patients.


Journal

Heart (British Cardiac Society)
ISSN: 1468-201X
Titre abrégé: Heart
Pays: England
ID NLM: 9602087

Informations de publication

Date de publication:
12 05 2022
Historique:
received: 15 09 2021
accepted: 20 01 2022
pubmed: 4 2 2022
medline: 18 5 2022
entrez: 3 2 2022
Statut: epublish

Résumé

To evaluate informal physician judgement versus pretest probability scores in estimating risk in patients with suspected coronary artery disease (CAD). We included 4533 patients from the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) trial. Physicians categorised a priori the pretest probability of obstructive CAD (≥70% or ≥50% left main); Diamond-Forrester (D-F) and European Society of Cardiology (ESC) pretest probability estimates were calculated. Agreement was calculated using the κ statistic; logistic regression evaluated estimates of pretest CAD probability and actual CAD (as determined by CT coronary angiography), and clinical outcomes were modelled using Cox proportional hazard models. Physician estimates agreed poorly with D-F (κ 0.16; 95% CI 0.14 to 0.18) and ESC (κ 0.04; 95% CI 0.02 to 0.05). Actual obstructive CAD was significantly more prevalent in both the high-likelihood (OR 3.30; 95% CI 2.30 to 4.74) and the intermediate-likelihood (OR 1.43; 95% CI 1.16 to 1.76) physician-estimated groups versus the low-likelihood group; ESC similarly differentiated between the three groups (OR 9.07; 95% CI 2.87 to 28.70; and OR 3.87; 95% CI 1.22 to 12.28). However, using D-F, only the high-probability group differed (OR 2.49; 95% CI 1.74 to 3.54). Only physician estimates were associated with a higher incidence of adjusted death/myocardial infarction/unstable angina hospitalisation in the high-probability versus low-probability group (HR 2.68; 95% CI 1.52 to 4.74); neither pretest probability score provided prognostic information. Compared with D-F and ESC estimates, physician judgement more accurately identified obstructive CAD and worse patient outcomes. Integrating physician judgement may improve risk prediction for patients with stable chest pain. NCT01174550.

Identifiants

pubmed: 35110385
pii: heartjnl-2021-320275
doi: 10.1136/heartjnl-2021-320275
pmc: PMC9106875
mid: NIHMS1776010
doi:

Banques de données

ClinicalTrials.gov
['NCT01174550']

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

860-867

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL098237
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: CBF: Consulting fees/honoraria from Bayer, Novo Nordisk, Sanofi, Boehringer Ingelheim, Pfizer; research support from Bayer; Steering Committee service for HeartFlow. DM: Consultant fees/honoraria from Medtronic; research support from AGA Medical, AstraZeneca, Bayer Healthcare Pharmaceuticals, BMS, Eli Lilly, Gilead, Merck & Co., Inc. UH: Research support from HeartFlow. MRP: Consultant fees/honoraria from Bayer Healthcare, Genzyme, Medscape - theheart.org, Merck; research support from AHRQ, AstraZeneca, Jansen, Johnson & Johnson, Maquet, National Heart Lung and Blood Institute, PCORI. PD: Research support from HeartFlow. No other disclosures were reported.

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Auteurs

Christopher B Fordyce (CB)

Division of Cardiology and Centre for Cardiovascular Innovation, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada cfordyce@mail.ubc.ca.

C Larry Hill (CL)

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.

Daniel B Mark (DB)

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.

Brooke Alhanti (B)

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.

Patricia A Pellikka (PA)

Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Udo Hoffmann (U)

Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Manesh R Patel (MR)

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.

Pamela S Douglas (PS)

Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina, USA.

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