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Exercise-induced myocardial ischaemia detected by cardiopulmonary exercise testing
Romualdo Belardinelli1, Francesca Lacalaprice, Flavia Carle
1Lancisi Heart Institute, Department of Cardiology and Cardiac Surgery, Ancona, Italy. r.belardinelli@fastnet.it
Insights
Cardiopulmonary exercise testing (CPET) parameters, specifically O2pulse flattening duration and deltaVO2/deltaWork rate slope, effectively detect exercise-induced myocardial ischemia (EIMI). This enhances diagnostic accuracy for identifying coronary artery disease (CAD).
Area of Science:
- Cardiology
- Exercise Physiology
- Diagnostic Imaging
Background:
- Coronary artery disease (CAD) diagnosis relies on detecting exercise-induced myocardial ischemia (EIMI).
- Standard ECG stress testing has limitations in accurately identifying EIMI.
Purpose of the Study:
- Identify cardiopulmonary exercise testing (CPET) parameters for EIMI detection.
- Determine the diagnostic accuracy of CPET for identifying EIMI in CAD patients.
Main Methods:
- Prospective study of 202 patients with documented CAD.
- Incremental exercise stress testing with breath-by-breath gas exchange analysis.
- Gold standard: Stress/rest gated SPECT myocardial scintigraphy (GSMS) for ischemia detection.
Main Results:
- A two-variable model (O2pulse flattening duration and deltaVO2/deltaWork rate slope) predicted EIMI by CPET.
- CPET showed higher sensitivity (87%) and specificity (74%) for EIMI compared to ECG-St (46% and 66%).
- GSMS identified 140 patients with reversible myocardial defects.
Conclusions:
- Gas exchange analysis improves standard ECG stress testing for EIMI detection.
- The two-variable CPET model demonstrates high predictive ability for identifying EIMI.
- CPET parameters offer enhanced diagnostic accuracy for EIMI in CAD.
Background:
The objective of the study was to identify the parameter(s) of cardiopulmonary exercise testing (CPET) that can detect exercise-induced myocardial ischaemia (EIMI), and to determine its diagnostic accuracy for identifying patients with coronary artery disease (CAD).
Methods And Results:
We prospectively studied 202 consecutive patients (173 men, 29 women, mean age 55.7+/-10.8 years) with documented CAD. All patients underwent an incremental exercise stress testing (ECG-St) with breath-by-breath gas exchange analysis, followed by a 2-day stress/rest gated SPECT myocardial scintigraphy (GSMS) as the gold standard for ischaemia detection. ROC analysis selected a two-variable model-O(2)pulse flattening duration, calculated from the onset of myocardial ischaemia to peak exercise, and deltaVO(2)/deltawork rate slope-to predict EIMI by CPET. GSMS identified 140 patients with reversible myocardial defects, with a Summed Difference Score (SDS) of 9.7+/-2.8, and excluded EIMI in 62 (SDS 1.3+/-1.6). ECG-St had low sensitivity (46%) and specificity (66%) to diagnose EIMI as compared with CPET (87% and 74%, respectively).
Conclusions:
The addition of gas exchange analysis improves the diagnostic accuracy of standard ECG stress testing in identifying EIMI. A two-variable model based on O(2)pulse flattening duration and deltaVO(2)/deltawork rate slope had the highest predictive ability to identify EIMI.
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