scholarly journals AN ELECTROGRAPHIC STUDY ON THE FUNCTIONAL CAPACITY OF THE CORONARY COLLATERAL CIRCULATION IN DOGS WITH CHRONIC CORONARY OCCLUSION

1980 ◽  
Vol 44 (4) ◽  
pp. 294-302 ◽  
Author(s):  
YUTAKA KATADA ◽  
TETSUO MIZUTANI ◽  
KISHIO MAEKAWA ◽  
TAKAYOSHI AZUMI ◽  
KATSUAKI FUJIWARA ◽  
...  
1976 ◽  
Vol 92 (2) ◽  
pp. 193-200 ◽  
Author(s):  
Allen B. Weisse ◽  
Katherine Kearney ◽  
Ravinder M. Narang ◽  
Timothy J. Regan

Author(s):  
Habib Çil ◽  
Yahya İslamoğlu ◽  
Celal Yavuz ◽  
Zuhal Arıtürk Atılgan ◽  
Ahmet Çalışkan ◽  
...  

2007 ◽  
Vol 293 (3) ◽  
pp. H1799-H1804 ◽  
Author(s):  
Bradley G. Leshnower ◽  
Hiroaki Sakamoto ◽  
Hirotsugu Hamamoto ◽  
Ahmad Zeeshan ◽  
Joseph H. Gorman ◽  
...  

It is widely accepted that, during acute coronary occlusion, ischemic cell death progresses from the subendocardium to the subepicardium in a wavefront fashion. This concept, which implies that the subendocardium is the most susceptible myocardial region to ischemic injury, was established using a canine model with an extensive system of subepicardial coronary collaterals. In humans, particularly in those with coronary artery disease, there is a wide range in the distribution and functional capacity of the collateral circulation, which may affect the pattern of infarct evolution. Using an ovine model with a limited system of preformed subendocardial coronary collaterals, we characterized the effect of increasing lengths of ischemia on regional blood flow and infarct size in three regions of the ventricular wall: subendocardium, midmyocardium, and subepicardium. Our results demonstrate that the myocardium and microvasculature in these three regions are equally susceptible to injury after 45 min of ischemia. When ischemic time is increased to 1 h, infarct size in the midmyocardium (90 ± 2%) is greater than in the subendocardium (76 ± 4%, P = 0.004) and subepicardium (84 ± 3%, P = 0.13). Microvascular dysfunction as assessed as a percentage of baseline flow is also greater in the midmyocardium (14 ± 5%) compared with the subendocardium (20 ± 3%, P = 0.23) and subepicardium (51 ± 9%, P = 0.007). These findings suggest that, in subjects with a limited system of coronary collateral circulation, the midmyocardium is the most susceptible myocardial region to ischemia and the subendocardium is the most resistant. Myocardial viability during coronary occlusion appears to be primarily determined by the distribution and functional capacity of the collateral circulation.


Perfusion ◽  
2021 ◽  
pp. 026765912110148
Author(s):  
Saban Kelesoglu ◽  
Yucel Yilmaz ◽  
Deniz Elcık ◽  
Nihat Kalay

Aim: Recently, a new inflammatory and prognostic marker has emerged called as Systemic Immune Inflammation Index (SII). In the current study, we searched the relation between SII and Coronary Collateral Circulation (CCC) formation in stable Coronary Artery Disease (CAD). Materials & methods: 449 patients with stable CAD who underwent coronary angiography and documented coronary stenosis of 95% or more in at least one major coronary vessel were included in the study. The study patients were divided into two groups according to the Rentrop score as well CCC (Rentrop 2–3) and bad CCC (Rentrop 0–1). Blood samples for SII and other laboratory parameters were gathered from all the patients on admission. The SII score was formulized as platelet × neutrophil/lymphocyte counts. Results: Patients, who had developed bad CCC had a higher C-reactive protein (CRP), neutrophil/lymphocyte ratio (NLR), platelets/lymphocyte ratio (PLR) and SII levels compared to those who had developed well CCC (p < 0.001, for all). Multivariate logistic regression analysis showed that high levels of SII was an independent predictor of bad CCC (OR: 1.005, 95% confidence interval (CI): 1.003–1.006, p < 0.001) together with dyslipidemia, high levels of CRP and NLR. In Receiver Operator Characteristic curve (ROC) analysis, the optimal cutoff value of SII to predict poor CCC was found to be 729.8, with 78.4% sensitivity and 74.6% specificity (area under ROC curve = 0.833 (95% CI: 0.777–0.889, p < 0.001). Conclusion: We have demonstrated that SII, a novel cardiovascular risk marker, might be used as one of the independent predictors of CCC development.


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