Negative coronary CT angiography for chest pain assessment predicts low event rate in 5 years

Fei Y Chong1, Kean Soon, Fraser Brown

  • 1Centre for Cardiovascular Therapeutics/Western Radiology, Western Hospital, Melbourne, Victoria, Australia. feiyon@yahoo.com

Insights

A negative coronary CT angiography (CTA) reliably predicts a low risk of major cardiovascular events over five years. This diagnostic imaging technique offers excellent long-term prognostic value for patients presenting with chest pain.

Area of Science:

  • Cardiovascular Imaging
  • Diagnostic Accuracy
  • Long-term Prognosis

Background:

  • Coronary CT angiography (CTA) is increasingly used for evaluating chest pain.
  • While short-term outcomes are well-established, long-term prognostic data for negative coronary CTA are limited.
  • This study addresses the need for understanding the long-term predictive value of negative coronary CTA.

Purpose of the Study:

  • To investigate the long-term prognostic value of a negative coronary CT angiography (CTA) in patients presenting with chest pain.
  • To determine the rate of major adverse cardiovascular events following a negative CTA over an extended follow-up period.

Main Methods:

  • Retrospective observational study of 259 patients who underwent coronary CTA.
  • Negative coronary CTA defined as no stenosis ≥50% using the AHA 16-segment model.
  • Primary endpoint: composite of myocardial infarction, myocardial death, or revascularization.

Main Results:

  • Seventy out of 259 patients had negative coronary CTA results.
  • Mean follow-up was 4.64 years.
  • Only one patient experienced a major adverse cardiovascular event, yielding a negative predictive value of 0.986 (95% CI: 0.92-0.99).

Conclusions:

  • A negative coronary CTA demonstrates high long-term prognostic value.
  • It predicts a low incidence of major cardiovascular events within a 5-year timeframe.
  • This finding supports the use of coronary CTA in risk stratification for chest pain patients with low-to-intermediate pretest probability.
Abstract

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