Literature DB >> 35110385

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

Christopher B Fordyce1, C Larry Hill2, Daniel B Mark2, Brooke Alhanti2, Patricia A Pellikka3, Udo Hoffmann4, Manesh R Patel2, Pamela S Douglas2.   

Abstract

OBJECTIVE: To evaluate informal physician judgement versus pretest probability scores in estimating risk in patients with suspected coronary artery disease (CAD).
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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. TRIAL REGISTRATION NUMBER: NCT01174550. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  chest pain; diagnostic imaging; healthcare; outcome assessment

Mesh:

Year:  2022        PMID: 35110385      PMCID: PMC9106875          DOI: 10.1136/heartjnl-2021-320275

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   7.365


  25 in total

1.  Identification of Patients With Stable Chest Pain Deriving Minimal Value From Noninvasive Testing: The PROMISE Minimal-Risk Tool, A Secondary Analysis of a Randomized Clinical Trial.

Authors:  Christopher B Fordyce; Pamela S Douglas; Rhonda S Roberts; Udo Hoffmann; Hussein R Al-Khalidi; Manesh R Patel; Christopher B Granger; John Kostis; Daniel B Mark; Kerry L Lee; James E Udelson
Journal:  JAMA Cardiol       Date:  2017-04-01       Impact factor: 14.676

2.  Predictive Model for High-Risk Coronary Artery Disease.

Authors:  James J Jang; Manjushri Bhapkar; Adrian Coles; Sreekanth Vemulapalli; Christopher B Fordyce; Kerry L Lee; James E Udelson; Udo Hoffmann; Jean-Claude Tardif; W Schuyler Jones; Daniel B Mark; Vincent L Sorrell; Andrey Espinoza; Pamela S Douglas; Manesh R Patel
Journal:  Circ Cardiovasc Imaging       Date:  2019-02       Impact factor: 7.792

3.  When Can We Defer Testing for Patients With Stable Chest Pain?

Authors:  Ron Blankstein; Sanjay Divakaran; Leslee Shaw
Journal:  JACC Cardiovasc Imaging       Date:  2018-09

4.  Derivation of a simple clinical model to categorize patients probability of pulmonary embolism: increasing the models utility with the SimpliRED D-dimer.

Authors:  P S Wells; D R Anderson; M Rodger; J S Ginsberg; C Kearon; M Gent; A G Turpie; J Bormanis; J Weitz; M Chamberlain; D Bowie; D Barnes; J Hirsh
Journal:  Thromb Haemost       Date:  2000-03       Impact factor: 5.249

5.  Clinical experience and predicting survival in coronary disease.

Authors:  D F Kong; K L Lee; F E Harrell; J M Boswick; D B Mark; M A Hlatky; R M Califf; D B Pryor
Journal:  Arch Intern Med       Date:  1989-05

6.  Acute chest pain-a stepwise approach, the challenge of the correct clinical diagnosis.

Authors:  Hans Domanovits; Martin Schillinger; Monika Paulis; Fritz Rauscha; Jana Thoennissen; Mariam Nikfardjam; Anton N Laggner
Journal:  Resuscitation       Date:  2002-10       Impact factor: 5.262

7.  Impact of a decreasing pre-test probability on the performance of diagnostic tests for coronary artery disease.

Authors:  Luis Eduardo Juarez-Orozco; Antti Saraste; Davide Capodanno; Eva Prescott; Haitham Ballo; Jeroen J Bax; William Wijns; Juhani Knuuti
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2019-11-01       Impact factor: 6.875

8.  Diagnosing pneumonia in patients with acute cough: clinical judgment compared to chest radiography.

Authors:  Saskia F van Vugt; Theo J M Verheij; Pim A de Jong; Chris C Butler; Kerenza Hood; Samuel Coenen; Herman Goossens; Paul Little; Berna D L Broekhuizen
Journal:  Eur Respir J       Date:  2013-01-24       Impact factor: 16.671

9.  Absence of sex bias in the referral of patients for cardiac catheterization.

Authors:  D B Mark; L K Shaw; E R DeLong; R M Califf; D B Pryor
Journal:  N Engl J Med       Date:  1994-04-21       Impact factor: 91.245

Review 10.  Clinical judgement and the medical profession.

Authors:  Gunver S Kienle; Helmut Kiene
Journal:  J Eval Clin Pract       Date:  2010-10-25       Impact factor: 2.431

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  1 in total

1.  One step closer to quantifying 'clinical likelihood' in pre-test probability.

Authors:  Jonathan R Weir-McCall; Michelle C Williams; Angela Wood
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2022-09-05
  1 in total

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