UNLABELLED: Angiography of patients with typical chest pain reveals normal epicardial coronary arteries in about 20%. Coronary flow reserve (CFR) determination is an elaborate, but helpful, task, as only the evidence of microvascular disease enables appropriate therapy. We prospectively evaluated the incidence of a dysfunctional microcirculation and searched for predictive parameters of a reduced CFR. METHODS: In 79 consecutive patients (52 females, 27 males) with typical angina and a normal angiogram and 10 control subjects (6 females, 4 males), CFR was measured by 13N-ammonia rest/dipyridamole PET and correlated with clinical parameters individually and summarized as the number of risk factors (NRF) using an elaborated cardiac risk factor score. RESULTS: Sixty-five percent of patients had a reduced CFR (CFR < 2.5). CFR correlated with NRF (r = 0.55, P < 0.001), systolic blood pressure (r = 0.46, P < 0.001), interventricular septal thickness (r = 0.33, P < 0.01), and age (r = 0.25, P = 0.02). Eighty-five percent of patients with a high risk factor score (NRF > or = 5) had a reduced CFR. In contrast, 100% of our patients with a low risk factor score (NRF < 2) presented a normal CFR. In total, 55% of our patients could be allocated to either one of these groups. CONCLUSION: In about two thirds of patients, anginal pain can be explained by a reduced CFR. Risk factors have a cumulative negative effect on CFR. A clinical cardiac risk factor analysis enables estimation of individual probability of microvascular dysfunction in a significant proportion of these patients. However, CFR measurements are recommended for those with an intermediate NRF.
UNLABELLED: Angiography of patients with typical chest pain reveals normal epicardial coronary arteries in about 20%. Coronary flow reserve (CFR) determination is an elaborate, but helpful, task, as only the evidence of microvascular disease enables appropriate therapy. We prospectively evaluated the incidence of a dysfunctional microcirculation and searched for predictive parameters of a reduced CFR. METHODS: In 79 consecutive patients (52 females, 27 males) with typical angina and a normal angiogram and 10 control subjects (6 females, 4 males), CFR was measured by 13N-ammonia rest/dipyridamole PET and correlated with clinical parameters individually and summarized as the number of risk factors (NRF) using an elaborated cardiac risk factor score. RESULTS: Sixty-five percent of patients had a reduced CFR (CFR < 2.5). CFR correlated with NRF (r = 0.55, P < 0.001), systolic blood pressure (r = 0.46, P < 0.001), interventricular septal thickness (r = 0.33, P < 0.01), and age (r = 0.25, P = 0.02). Eighty-five percent of patients with a high risk factor score (NRF > or = 5) had a reduced CFR. In contrast, 100% of our patients with a low risk factor score (NRF < 2) presented a normal CFR. In total, 55% of our patients could be allocated to either one of these groups. CONCLUSION: In about two thirds of patients, anginal pain can be explained by a reduced CFR. Risk factors have a cumulative negative effect on CFR. A clinical cardiac risk factor analysis enables estimation of individual probability of microvascular dysfunction in a significant proportion of these patients. However, CFR measurements are recommended for those with an intermediate NRF.
Authors: Mark A Marinescu; Adrián I Löffler; Michelle Ouellette; Lavone Smith; Christopher M Kramer; Jamieson M Bourque Journal: JACC Cardiovasc Imaging Date: 2015-02
Authors: Ji Hyun Lee; Donghee Han; Bríain Ó Hartaigh; Heidi Gransar; Yao Lu; Asim Rizvi; Mahn Won Park; Hadi Mirhedayati Roudsari; Wijnand J Stuijfzand; Daniel S Berman; Tracy Q Callister; Augustin DeLago; Martin Hadamitzky; Joerg Hausleiter; Mouaz H Al-Mallah; Matthew J Budoff; Philipp A Kaufmann; Gilbert Raff; Kavitha Chinnaiyan; Filippo Cademartiri; Erica Maffei; Todd C Villines; Yong-Jin Kim; Jonathon Leipsic; Gudrun Feuchtner; Gianluca Pontone; Daniele Andreini; Hugo Marques; Ronen Rubinshtein; Stephan Achenbach; Leslee J Shaw; Hyuk-Jae Chang; Jeroen Bax; Benjamin Chow; Ricardo C Cury; Millie Gomez; Erica C Jones; Fay Y Lin; James K Min; Jessica M Peña Journal: Clin Cardiol Date: 2018-05-11 Impact factor: 2.882
Authors: Thomas H Schindler; Alvaro D Facta; John O Prior; Jerson Cadenas; Xiao-Li Zhang; Yanjie Li; James Sayre; Jonathan Goldin; Heinrich R Schelbert Journal: Eur J Nucl Med Mol Imaging Date: 2008-08-15 Impact factor: 9.236