Diagnostic and Prognostic Efficacy of Coronary Flow Capacity Obtained Using Pressure-Temperature Sensor-Tipped Wire-Derived Physiological Indices.

OBJECTIVES

This study aimed to evaluate the feasibility and efficacy of pressure-temperature sensor-tipped wire-derived coronary flow capacity (PTW-CFC) for assessing flow impairment and prognosis.

BACKGROUND

CFC provides an integrated coronary physiological assessment in which coronary flow reserve and coronary flow during hyperemia are organized.

METHODS

A total of 643 native de novo lesions for which physiological assessments were performed using a PressureWire (St. Jude Medical, St. Paul, Minnesota) in patients with stable coronary artery disease were identified. The entire cohort was stratified by PTW-CFC according to the well-validated thresholds of coronary flow reserve and the corresponding inverse of thermodilution-derived mean transit time under hyperemia. Coronary physiological indices and the prevalence of major adverse cardiac events (MACE) were assessed according to PTW-CFC categories. Furthermore, in patients who underwent percutaneous coronary intervention (PCI), post-PCI PTW-CFC categorization was performed and clinical outcomes were evaluated.

RESULTS

PTW-CFC categorization efficiently discriminated previously validated coronary physiological parameters for functional stenosis severity and microvascular dysfunction. MACE rates during follow-up (2.4 years) were significantly associated with advanced impairment of PTW-CFC except for severely reduced PTW-CFC. In the subgroup analysis of patients with severely reduced pre-PCI PTW-CFC who underwent successful PCI, MACE incidence was significantly frequent in patients with post-PCI non-normal PTW-CFC compared with those with post-PCI normal PTW-CFC.

CONCLUSIONS

PTW-CFC mapping was feasible, provided accurate stratifications of coronary flow impairment, and may predict MACE. Combined analysis involving PTW-CFC and fractional flow reserve may enrich the clinical implication of integrated coronary physiology and may help predict prognosis.