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Prospective interventional study, open, non-comparative and non-randomized. The research concerns physiological parameters of the coronary and ocular blood circulation.
At the coronary level, the curves of pressure and Doppler flow will be extracted from ComboMap® (Philips). The coronary microvascular resistances, basal and hyperemic, will be determined by the average ratio of the distal pressure and flow.
At the ocular level, a fundus oculi and an OCTA (angiography by tomography in optical coherence) examination will be performed. The measures of the FFR and the coronary microvascular resistance will be determined by a guidewire allowing measures of pressure and by a guidewire allowing measures of Doppler flow (ComboWire®, Volcano), in 123 patients with intermediate stenosis of the left anterior descending artery (LDA). Topological parameters characterizing the retinal area and choriocapillaries will be determined by statistical approaches and mathematical morphology.
To establish a predictor of the coronary microvascular resistance from the eye vascular parameters, we shall use a non-linear regression by supervised machine learning. The main cardiovascular risk factors (hypertension, diabetes, dyslipidemia, age, sex) will be part of predetermined input features for the machine learning.
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101 participants in 1 patient group
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Brahim HARBAOUI; Fatou LANGEVIN
Data sourced from clinicaltrials.gov
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