AIM: The aim of this study was to determine the relationship between clinical and blood characteristics of a vascular inflammatory milieu and coronary plaque composition visualized by near-infrared spectroscopy (NIRS) in percutaneous coronary intervention (PCI) patients. METHODS AND RESULTS: Between April 2009 and January 2011, we performed NIRS in 208 patients who underwent PCI or invasive diagnostic coronary exploration for various indications. Imaging was performed of one non-intervened coronary segment after the initial procedure. Univariate and multivariate linear regression analyses were applied to evaluate the relationship between the acquired NIRS-derived lipid core burden index (LCBI) and clinical and blood (lipids and hs-C-reactive protein) characteristics. Patients with a history of hypercholesterolaemia [median 48 (inter-quartile range 21-101) vs. 38 (13-70), P = 0.043] and multi-vessel disease [55 (24-104) vs. 32 (12-71), P = 0.012] had higher LCBI levels. Men had higher LCBI than women [48 (21-95) vs. 27 (9-59), P = 0.003]. Hypercholesterolaemia and gender remained significant in multivariate regression analysis, whereas also a history of non-cardiac vascular disease and beta-blockers were positively associated with LCBI. Altogether 23.2% of the variability in LCBI could be explained by clinical and blood characteristics. CONCLUSION: Clinical characteristics reflecting patients with a high cardiovascular risk profile explained 23.2% of the variability in LCBI, whereas blood biomarkers added little. Further research is warranted to evaluate whether NIRS has the potential to provide additional prognostic information about patients' cardiovascular risk.
AIM: The aim of this study was to determine the relationship between clinical and blood characteristics of a vascular inflammatory milieu and coronary plaque composition visualized by near-infrared spectroscopy (NIRS) in percutaneous coronary intervention (PCI) patients. METHODS AND RESULTS: Between April 2009 and January 2011, we performed NIRS in 208 patients who underwent PCI or invasive diagnostic coronary exploration for various indications. Imaging was performed of one non-intervened coronary segment after the initial procedure. Univariate and multivariate linear regression analyses were applied to evaluate the relationship between the acquired NIRS-derived lipid core burden index (LCBI) and clinical and blood (lipids and hs-C-reactive protein) characteristics. Patients with a history of hypercholesterolaemia [median 48 (inter-quartile range 21-101) vs. 38 (13-70), P = 0.043] and multi-vessel disease [55 (24-104) vs. 32 (12-71), P = 0.012] had higher LCBI levels. Men had higher LCBI than women [48 (21-95) vs. 27 (9-59), P = 0.003]. Hypercholesterolaemia and gender remained significant in multivariate regression analysis, whereas also a history of non-cardiac vascular disease and beta-blockers were positively associated with LCBI. Altogether 23.2% of the variability in LCBI could be explained by clinical and blood characteristics. CONCLUSION: Clinical characteristics reflecting patients with a high cardiovascular risk profile explained 23.2% of the variability in LCBI, whereas blood biomarkers added little. Further research is warranted to evaluate whether NIRS has the potential to provide additional prognostic information about patients' cardiovascular risk.
Authors: Carlo De Dominicis; Paola Perrotta; Sergio Dall'Angelo; Leonie Wyffels; Steven Staelens; G R Y De Meyer; Matteo Zanda Journal: ACS Med Chem Lett Date: 2020-02-19 Impact factor: 4.345
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