Literature DB >> 23623289

Accuracy of traditional age, gender and symptom based pre-test estimation of angiographically significant coronary artery disease in patients referred for coronary computed tomographic angiography.

Christopher A Pickett1, Edward A Hulten, Manju Goyal, Luke Surry, Todd C Villines.   

Abstract

Determining the pretest probability of angiographically significant (≥50% stenosis) coronary artery disease (CAD) in symptomatic patients relies on the Diamond and Forrester (DF) classification, which was derived from a cohort referred for invasive coronary angiography. The accuracy of this approach in patients referred for noninvasive coronary angiography is not fully known. Consecutive patients without known CAD referred for coronary computed tomographic angiography (CCTA) were evaluated. Chest pain was prospectively categorized as nonanginal, atypical angina, typical angina, or asymptomatic. The pretest likelihood of angiographically significant CAD was estimated using DF classification and compared with observed rates of angiographically significant CAD on CCTA. Among 1,027 patients (41% women; mean age 50 ± 12 years), 38 (4%) had nonanginal symptoms, 643 (63%) had atypical angina, 72 (7%) had typical angina, and 274 (26%) were asymptomatic. The prevalence of angiographically significant CAD in patients with nonanginal chest pain, atypical angina, typical angina, and no symptoms was 1 (3%), 55 (9%), 14 (19%), and 25 (9%), respectively (p <0.001). DF classification significantly overestimated angiographically significant CAD prevalence across all symptom classifications, genders, and ages despite adjustment for risk factors (p <0.001 for all comparisons). DF classification had an area under the receiver-operating characteristic curve of 0.72 (95% confidence interval 0.66 to 0.78), which was not significantly different from age alone (0.69) or age, symptoms, and risk factors (0.68). In conclusion, in a low- to intermediate-risk cohort referred for CCTA, DF classification significantly overestimated angiographically significant CAD prevalence across all age, gender, and symptom strata. The DF classification may overestimate the pretest probability of angiographically significant CAD in contemporary patients referred for CCTA. Published by Elsevier Inc.

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Year:  2013        PMID: 23623289     DOI: 10.1016/j.amjcard.2013.03.015

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  5 in total

1.  Some highlights of a 47 year career in research.

Authors:  Ferid Murad
Journal:  Cell Mol Life Sci       Date:  2005-01       Impact factor: 9.261

2.  [Diamond-Forrester and cardiac CT : Is there a need to redefine the pretest probability of coronary artery disease?].

Authors:  A Schuhbäck; J Kolwelter; S Achenbach
Journal:  Herz       Date:  2016-08       Impact factor: 1.443

3.  Comparison of International Guidelines for Assessment of Suspected Stable Angina: Insights From the PROMISE and SCOT-HEART.

Authors:  Philip D Adamson; David E Newby; C Larry Hill; Adrian Coles; Pamela S Douglas; Christopher B Fordyce
Journal:  JACC Cardiovasc Imaging       Date:  2018-09

4.  Discrimination capability of pretest probability of stable coronary artery disease: a systematic review and meta-analysis suggesting how to improve validation procedures.

Authors:  Pierpaolo Mincarone; Antonella Bodini; Maria Rosaria Tumolo; Federico Vozzi; Silvia Rocchiccioli; Gualtiero Pelosi; Chiara Caselli; Saverio Sabina; Carlo Giacomo Leo
Journal:  BMJ Open       Date:  2021-07-08       Impact factor: 2.692

5.  Impact of Clinical Guideline Recommendations on the Application of Coronary Computed Tomographic Angiography in Patients with Suspected Stable Coronary Artery Disease.

Authors:  Jia Zhou; Jun-Jie Yang; Xia Yang; Zhi-Ye Chen; Bai He; Luo-Shan Du; Yun-Dai Chen
Journal:  Chin Med J (Engl)       Date:  2016-01-20       Impact factor: 2.628

  5 in total

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