Cardiac Imaging and Diagnostics Peer reviewed

Variability in Cardiac Stress Test Interpretation: Agreement Between Enrollment Sites and Core Laboratories in the Global ISCHEMIA Trial

Evan L. O’Keefe, Brett W. Sperry, Philip G. Jones, James H. O’Keefe and 95 more

Circulation Population Health and Outcomes | Jul 1, 2026

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In ISCHEMIA, enrollment sites frequently overestimated or underestimated the severity of myocardial ischemia compared with core laboratory assessments, highlighting the need for strategies to improve the consistency and accuracy of stress testing interpretation in patients with chronic coronary disease.

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BACKGROUND: Cardiac stress testing is a cornerstone of risk stratification and management in patients with chronic coronary disease, yet the consistency and accuracy of its interpretation remain poorly defined. This analysis evaluated variation in the interpretation of myocardial ischemia between enrollment sites and core laboratories in the ISCHEMIA trial (International Study of Comparative Health Effectiveness With Medical and Invasive Approaches). METHODS: ISCHEMIA was a global (37 countries, 2012-2018) randomized trial of an initial invasive versus conservative strategy in patients with chronic coronary disease and moderate or severe ischemia. This analysis included participants with site-interpreted qualifying stress tests-nuclear, echocardiography (echo), cardiac magnetic resonance, or exercise tolerance test-and independent core laboratory adjudication. Core laboratories, serving as the reference standard, reinterpreted tests blinded to site results. A trinary outcome variable (site underestimation, concordance, or overestimation) was defined by comparing site-determined ischemia levels to standardized core lab assessments. Adjusted mixed-effects logistic regression models with random site intercepts assessed variability. RESULTS: Among 6971 participants (mean age, 62.8 years; 73% men), site interpretations showed 0% no/mild (by design), 43% moderate, and 57% severe ischemia. Core labs reclassified these as 8% none, 11% mild, 30% moderate, and 51% severe ischemia. For the imaging modalities, median site-core lab agreement rates were ≈55%; nearly 25% of site-classified moderate/severe cases were downgraded to no or mild ischemia by core labs. Adjusted median odds ratios for site overestimation were 2.36 (95% CI, 2.02-2.82; nuclear), 1.98 (95% CI, 1.62-2.60; echo), 1.89 (95% CI, 1.0-5.41; cardiac magnetic resonance), and 2.15 (95% CI, 1.76-2.79; exercise tolerance test). Adjusted median odds ratios for underestimation ranged from 1.25 to 1.77. CONCLUSIONS: In ISCHEMIA, enrollment sites frequently overestimated or underestimated the severity of myocardial ischemia compared with core laboratory assessments, highlighting the need for strategies to improve the consistency and accuracy of stress testing interpretation in patients with chronic coronary disease. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01471522.

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Authors

Researchers on this paper

Evan L. O’Keefe

first | Saint Luke's Hospital | ORCID 0000-0002-2746-2323

Brett W. Sperry

middle | Saint Luke's Hospital | ORCID 0000-0002-8210-6401

Philip G. Jones

middle | Saint Luke's Hospital | ORCID 0000-0002-7136-4464

James H. O’Keefe

middle | Saint Luke's Hospital | ORCID 0000-0002-3376-5822

Lawrence M. Phillips

middle | New York University

Harmony R. Reynolds

middle | New York University | ORCID 0000-0003-0284-0655

Leslee J. Shaw

middle | Icahn School of Medicine at Mount Sinai | ORCID 0000-0003-1268-1491

Daniel S. Berman

middle | Cedars-Sinai Medical Center | ORCID 0000-0002-3793-9578

Michael H. Picard

middle | Massachusetts General Hospital | ORCID 0000-0002-9264-3243

Raymond Y. Kwong

middle | Brigham and Women's Hospital | ORCID 0000-0001-8212-0759

Bernard Chaitman

middle | Comprehensive Cardiovascular | ORCID 0000-0002-9216-5317

Timothy M. Bateman

middle | Saint Luke's Hospital

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Citation

BibTeX

@article{OKeefe2026Variability,
  title = {Variability in Cardiac Stress Test Interpretation: Agreement Between Enrollment Sites and Core Laboratories in the Global ISCHEMIA Trial},
  author = {Evan L. O’Keefe and Brett W. Sperry and Philip G. Jones and James H. O’Keefe and Lawrence M. Phillips and Harmony R. Reynolds and Leslee J. Shaw and Daniel S. Berman and Michael H. Picard and Raymond Y. Kwong and Bernard Chaitman and Timothy M. Bateman and Sripal Bangalore and David J. Maron and Judith S. Hochman and John A. Spertus and Kreton Mavromatis and Jason Linefsky and Todd Miller and Subhash Banerjee and Jonathan D. Newman and Robert Donnino and Muhamed Saric and Khaled Abdul-Nour and Peter H. Stone and James J. Jang and Gennie Yee and Steven Weitz and Suzanne Arnold and Michael D. Shapiro and Steven Fein and Mikhail Torosoff and Radmila Lyubarova and Sulagna Mookherjee and Krzysztof Drzymalski and Edward O. McFalls and Santiago A. Garcia and Stefan C. Bertog and Rizwan A. Siddiqui and Areef Ishani and Ronnell A. Hansen and Michel G. Khouri and Jonathan Goldberg and Richard Goldweit and Ronny Cohen and Brooks Mirrer and Victor Navarro and David E. Winchester and Marvin Kronenberg and Christopher McFarren and John F. Heitner and Ira Dauber and Charles Cannan and Sriram Sudarshan and Puja K. Mehta and Michael McDaniel and Stamatios Lerakis and Arshed Quyyumi and N Kass Wenger and Chester M. Hedgepeth and Heather Hurlburt and Alan Rosen and Zakir Sahul and Steve Leung and Hassan Reda and Khaled Ziada and Sampoornima Setty and Rajat S. Barua and Fadi Hage and James Davies and Massoud Leesar and Jaekyeong Heo and Amy Iskandrian and Firas Al Solaiman and Satinder Singh and Khaled Dajani and Mohammad El-Hajjar and Paul Der Mesropian and Joseph Sacco and Brian McCandless and Marisa Orgera and Mandeep S. Sidhu and Imran Arif and Hanan Kerr and Jorge F. Trejo and Gerald Fletcher and Gary E. Lane and Lynn M. Neeson and Pragnesh Parikh and Peter Pollak and Brian P. Shapiro and K. Landolfo and Anthony Gemignani and Daniel O’Rourke and Judith Meadows and Jason T. Call and Joseph Hannan and Robert Bojar and Deepti Kumar},
  journal = {Circulation Population Health and Outcomes},
  year = {2026},
  doi = {10.1161/circoutcomes.125.012920},
  url = {https://doi.org/10.1161/circoutcomes.125.012920}
}

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