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Long-term prognostic value of quantitative myocardial perfusion in patients with chest pain and normal coronary arteries

Monroy-Gonzalez, A. G., Tio, R. A., de Groot, J. C., Boersma, H. H., Prakken, N. H., De Jongste, M. J. L., Alexanderson-Rosas, E. & Slart, R. H. J. A., Dec-2019, In : Journal of Nuclear Cardiology. 26, 6, p. 1844-1852 9 p.

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BACKGROUND: Patients with chest pain and no obstructive coronary artery disease have shown a high incidence of major adverse cardiovascular events (MACE). We evaluated the role of absolute myocardial perfusion quantification in predicting all-cause mortality and MACE during long-term follow-up in this group of patients.

METHODS: We studied 79 patients who underwent Nitrogen-13 ammonia PET for quantification of global myocardial blood flow (MBF) and myocardial flow reserve (MFR) due to suspected impaired myocardial perfusion. Patients with coronary artery disease (i.e., > 30% stenosis in one or more coronary arteries) were excluded. We assessed all-cause mortality and MACE. MACE was defined as the composite incidence of death, myocardial infarction (MI), or hospitalization due to heart failure.

RESULTS: Median follow-up was 8 (IQR: 3-14) years. Univariate Cox regression showed that only MFR (P = 0.01) was a predictor of all-cause mortality. Univariate Cox regression analysis showed that both MFR and Stress MBF were predictors of the composite endpoint of MACE (P < 0.001 and P = 0.01, respectively).

CONCLUSION: Quantitative assessment of myocardial perfusion may predict all-cause mortality and MACE in patients with chest pain and normal coronary arteries in the long-term follow-up.

Original languageEnglish
Pages (from-to)1844-1852
Number of pages9
JournalJournal of Nuclear Cardiology
Volume26
Issue number6
Early online date4-Oct-2018
Publication statusPublished - Dec-2019

    Keywords

  • Microvascular dysfunction, PET, Myocardial blood flow, Diagnostic and prognostic application, POSITRON-EMISSION-TOMOGRAPHY, MICROVASCULAR DYSFUNCTION, FLOW RESERVE, BLOOD-FLOW, DISEASE, QUANTIFICATION, EVENTS, ANGINA, RISK

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