Obstructive Coronary Artery Disease Improved Prediction by the COME-CCT Pretest Probability Calculator With Cardiac

Viktoria Wieske1, Mario Walther2, Mahmoud Mohamed1

  • 1Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

JACC. Advances
|July 29, 2025
PubMed

Insights

Combining pretest probability (PTP) with computed tomography angiography (CTA) significantly improves the diagnosis of obstructive coronary artery disease (CAD). This combined approach offers more accurate predictions than PTP or CTA alone for all chest pain types.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Diagnostic Accuracy

Background:

  • Determining the diagnostic accuracy of combining pretest probability (PTP) with computed tomography angiography (CTA) for obstructive coronary artery disease (CAD) remains an area for investigation.
  • Existing diagnostic models for CAD require further refinement to enhance accuracy in clinical practice.

Purpose of the Study:

  • To evaluate the diagnostic accuracy of PTP calculation alone and in conjunction with CTA for identifying obstructive CAD.
  • To compare the performance of novel PTP models against traditional methods in diagnosing CAD.

Main Methods:

  • A meta-analysis of 65 prospective diagnostic accuracy studies involving patients with stable chest pain undergoing invasive coronary angiography.
  • Development and comparison of four models: Diamond-Forrester, COME-CCT-PTP calculator, CTA alone, and a combined COME-CCT-PTP with CTA model, using mixed-effects logistic regression.

Main Results:

  • Individual patient data from 5,332 patients across 22 countries were analyzed.
  • The COME-CCT-PTP calculator demonstrated higher accuracy than the Diamond-Forrester model (AUC: 0.68 vs 0.63).
  • The combined COME-CCT-PTP with CTA model significantly improved diagnostic accuracy (AUC: 0.86) compared to PTP alone (AUC: 0.81) or CTA alone.

Conclusions:

  • The integration of the COME-CCT-PTP calculator with CTA provides a superior diagnostic prediction for obstructive CAD.
  • This combined approach enhances diagnostic accuracy across all chest pain subtypes, outperforming PTP or CTA used independently.
Abstract

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