OBJECTIVE: Well-developed collaterals provide survival benefit in patients with obstructive coronary artery disease (CAD). Therefore, in this study we sought to determine which clinical variables are associated with arteriogenesis. DESIGN: Clinical and laboratory variables were collected before percutaneous coronary intervention. Multivariate analysis was performed to determine which variables are associated with the collateral flow index (CFI). PATIENTS: Data from 295 chronic total occlusion (CTO) patients (Bern, Switzerland, Amsterdam, the Netherlands and Jena, Germany) were pooled. In earlier studies, patients had varying degrees of stenosis. Therefore, different stages of development of the collaterals were used. In our study, a unique group of patients with CTO was analysed. INTERVENTIONS: Instead of angiography used earlier, we used a more accurate method to determine CFI using intracoronary pressure measurements. CFI was calculated from the occlusive pressure distal of the coronary lesion, the aortic pressure and central venous pressure. RESULTS: The mean CFI was 0.39 ± 0.14. After multivariate analysis, β blockers, hypertension and angina pectoris duration were positively associated with CFI (B: correlation coefficient β=0.07, SE=0.03, p=0.02, B=0.040, SE=0.02, p=0.042 and B=0.001, SE=0.000, p=0.02). Furthermore also after multivariate analysis, high serum leucocytes, prior myocardial infarction and high diastolic blood pressure were negatively associated with CFI (B=-0.01, SE=0.005, p=0.03, B=-0.04, SE=0.02, p=0.03 and B=-0.002, SE=0.001, p=0.011). CONCLUSIONS: In this unique cohort, high serum leucocytes and high diastolic blood pressure are associated with poorly developed collaterals. Interestingly, the use of β blockers is associated with well-developed collaterals, shedding new light on the potential action mode of this drug in patients with CAD.
OBJECTIVE: Well-developed collaterals provide survival benefit in patients with obstructive coronary artery disease (CAD). Therefore, in this study we sought to determine which clinical variables are associated with arteriogenesis. DESIGN: Clinical and laboratory variables were collected before percutaneous coronary intervention. Multivariate analysis was performed to determine which variables are associated with the collateral flow index (CFI). PATIENTS: Data from 295 chronic total occlusion (CTO) patients (Bern, Switzerland, Amsterdam, the Netherlands and Jena, Germany) were pooled. In earlier studies, patients had varying degrees of stenosis. Therefore, different stages of development of the collaterals were used. In our study, a unique group of patients with CTO was analysed. INTERVENTIONS: Instead of angiography used earlier, we used a more accurate method to determine CFI using intracoronary pressure measurements. CFI was calculated from the occlusive pressure distal of the coronary lesion, the aortic pressure and central venous pressure. RESULTS: The mean CFI was 0.39 ± 0.14. After multivariate analysis, β blockers, hypertension and angina pectoris duration were positively associated with CFI (B: correlation coefficient β=0.07, SE=0.03, p=0.02, B=0.040, SE=0.02, p=0.042 and B=0.001, SE=0.000, p=0.02). Furthermore also after multivariate analysis, high serum leucocytes, prior myocardial infarction and high diastolic blood pressure were negatively associated with CFI (B=-0.01, SE=0.005, p=0.03, B=-0.04, SE=0.02, p=0.03 and B=-0.002, SE=0.001, p=0.011). CONCLUSIONS: In this unique cohort, high serum leucocytes and high diastolic blood pressure are associated with poorly developed collaterals. Interestingly, the use of β blockers is associated with well-developed collaterals, shedding new light on the potential action mode of this drug in patients with CAD.
Authors: Ryanne P Betgem; Guus A de Waard; Robin Nijveldt; Aernout M Beek; Javier Escaned; Niels van Royen Journal: Nat Rev Cardiol Date: 2014-11-18 Impact factor: 32.419
Authors: Nazanin Hakimzadeh; Joëlle Elias; Gilbert W M Wijntjens; Ruud Theunissen; Angela van Weert; Martijn W Smulders; Nynke van den Akker; Perry D Moerland; Hein J Verberne; Loes P Hoebers; Jose P S Henriques; Anja M van der Laan; Mustafa Ilhan; Mark Post; Sebastiaan C A M Bekkers; Jan J Piek Journal: Sci Rep Date: 2017-05-08 Impact factor: 4.379
Authors: Nazanin Hakimzadeh; A Yaël Nossent; Anja M van der Laan; Stephan H Schirmer; Maurice W J de Ronde; Sara-Joan Pinto-Sietsma; Niels van Royen; Paul H A Quax; Imo E Hoefer; Jan J Piek Journal: PLoS One Date: 2015-09-02 Impact factor: 3.240