Diagnostic and Prognostic Role of the Modified Diamond-Forrester Model in Combination With Coronary Calcium Score in

Philip Lavenburg1, Gregg Cantor1, Olufunmilayo Agunloye1

  • 1From the Department of Internal Medicine, Stony Brook University Medical Center, Stony Brook, NY.

Insights

The Diamond-Forrester Model (DFM) with coronary calcium scoring (CCS) effectively rules out major adverse cardiovascular events (MACE) in low-risk chest pain patients. However, CCS alone is insufficient for high-risk patients with obstructive coronary artery disease (CAD).

Area of Science:

  • Cardiology
  • Medical Imaging
  • Risk Stratification

Background:

  • Evaluating pretest probability (PTP) using the Diamond-Forrester Model (DFM) combined with coronary calcium scoring (CCS).
  • Assessing the safety of ruling out obstructive coronary artery disease (CAD) and 30-day major adverse cardiovascular events (MACE).
  • Focusing on patients presenting with acute chest pain, negative initial ECG, and normal troponin levels.

Purpose of the Study:

  • To determine if DFM and CCS can safely exclude obstructive CAD.
  • To assess the ability to rule out 30-day MACE in acute chest pain patients.
  • To investigate the role of CCS in different PTP categories.

Main Methods:

  • Retrospective evaluation of 1988 adult patients with no known CAD.
  • Coronary computed tomographic angiography (CCTA) with CCS performed on all patients.
  • Classification of patients into low (<10%), intermediate (10%-90%), and high (>90%) PTP groups using DFM.

Main Results:

  • Low PTP by DFM showed a 0.0% 30-day MACE rate.
  • Intermediate PTP with CCS ≤10 had a 99.2% negative predictive value for 30-day MACE.
  • High PTP patients, even with CCS of zero, had a 7.07% MACE and 10.1% obstructive CAD prevalence.

Conclusions:

  • Low PTP (DFM) or intermediate PTP with CCS ≤10 effectively rule out 30-day MACE in acute chest pain patients.
  • CCS alone is insufficient to exclude obstructive CAD and MACE in patients with high PTP.
  • Combined DFM and CCS improve risk stratification for acute chest pain evaluation.
Abstract

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