Poor Coronary Collateral Circulation Research Articles

Association between the pan-immune-inflammation value and coronary collateral circulation in chronic total coronary occlusive patients

BackgroundInflammation and immunity play important roles in the formation of coronary collateral circulation (CCC). The pan-immune-inflammation value (PIV) is a novel marker for evaluating systemic inflammation and immunity. The study aimed to investigate the association between the PIV and CCC formation in patients with chronic total occlusion (CTO).MethodsThis retrospective study enrolled 1150 patients who were diagnosed with CTO through coronary angiographic (CAG) examinations from January 2013 to December 2021 in China. The Cohen-Rentrop criteria were used to catagorize CCC formation: good CCC formation (Rentrop grade 2–3) and poor CCC formation group (Rentrop grade 0–1). Based on the tertiles of the PIV, all patients were classified into three groups as follows: P1 group, PIV ≤ 237.56; P2 group, 237.56< PIV ≤ 575.18; and P3 group, PIV > 575.18.ResultsA significant relationship between the PIV and the formation of CCC was observed in our study. Utilizing multivariate logistic regression and adjusting for confounding factors, the PIV emerged as an independent risk factor for poor CCC formation. Notably, the restricted cubic splines revealed a dose–response relationship between the PIV and risk of poor CCC formation. In terms of predictive accuracy, the area under the ROC curve (AUC) for PIV in anticipating poor CCC formation was 0.618 (95% CI: 0.584–0.651, P < 0.001). Furthermore, the net reclassification index (NRI) and integrated discrimination index (IDI) for PIV, concerning the prediction of poor CCC formation, were found to be 0.272 (95% CI: 0.142–0.352, P < 0.001) and 0.051 (95% CI: 0.037–0.065, P < 0.001), respectively. It’s noteworthy that both the NRI and IDI values were higher for PIV compared to other inflammatory biomarkers, suggesting its superiority in predictive capacity.ConclusionsPIV was associated with the formation of CCC. Notably, PIV exhibited potential as a predictor for poor CCC formation and showcased superior predictive performance compared to other complete blood count-based inflammatory biomarkers.

Association between the atherogenic index of plasma and coronary collateral circulation in patients with chronic total occlusion

BackgroundThe atherogenic index of plasma (AIP) is considered an independent risk factor for coronary artery disease (CAD). The present study investigated whether AIP correlates with the formation of coronary collateral circulation (CCC) in CAD patients with chronic total occlusion (CTO).MethodsThis retrospective study included 1093 CAD patients with CTO confirmed by coronary angiography from January 2020 to December 2020 at Beijing Anzhen Hospital. Based on the Rentrop scoring system, the patients were divided into the good CCC group and the poor CCC group. AIP was calculated by log (triglyceride/high-density lipoprotein cholesterol). Meanwhile, the study population was further divided into four groups according to the quartiles of AIP.ResultsPatients in the poor CCC group exhibited significantly higher AIP compared to those in the good CCC group (0.31 ± 0.27 vs. 0.14 ± 0.24, p < 0.001). Multivariate logistic regression analysis revealed an independent association between AIP and poor CCC, regardless of whether AIP was treated as a continuous or categorical variable (p < 0.001), after adjusting for confounding factors. Besides, this association remained consistent across most subgroups. The incorporation of AIP into the baseline model significantly enhanced the accuracy of identifying poor CCC [area under the curve (AUC): baseline model, 0.661 vs. baseline model + AIP, 0.721, p for comparison < 0.001].ConclusionsElevated AIP is independently associated with an increased risk of poor CCC in CAD patients with CTO, and AIP may improve the ability to identify poor CCC in clinical practice.

Impact of coronary collateralization on major adverse cardiovascular and cerebrovascular events after successful recanalization of chronic total occlusion.

This study aims to investigate the effects of coronary collateral circulation (CCC) on the prognosis of chronic total occlusion (CTO) patients with or without metabolic syndrome (MetS). The study included 342 CTO patients who underwent successful percutaneous coronary intervention at the People's Hospital of Liaoning Province between 1 February 2021 and 30 September 2023. The Rentrop score was used to assess the status of CCC. The outcome was major adverse cardiovascular and cerebrovascular events (MACCEs), defined as a composite of all-cause mortality, cardiac death, non-fatal myocardial infarction (MI), target vessel revascularization (TVR), and non-fatal stroke. Univariate and multivariate logistic analyses were used to investigate the association of CCC, MetS, and MACCEs with odds ratios (ORs) and 95% confidence intervals (CIs). The effect of CCC was further investigated in different MetS, diabetes mellitus (DM), and Syntax score groups. MACCEs were more common in patients with poor CCC compared to those with good CCC (38.74% vs. 16.56%). Statistical differences were found in MACCEs (OR = 3.33, 95% CI: 1.93-5.72), MI (OR = 3.11, 95% CI: 1.73-5.58), TVR (OR = 3.06, 95% CI: 1.70-5.53), and stent thrombosis (OR = 6.14, 95% CI: 2.76-13.65) between the good and poor CCC groups. Poor CCC patients with MetS had a higher incidence of MACCEs (OR = 4.21, 95% CI: 2.05-8.65), non-fatal MI (OR = 4.44, 95% CI: 2.01-9.83), TVR (OR = 3.28, 95% CI: 1.51-7.11), and stent thrombosis (OR = 10.80, 95% CI: 3.11-37.54). Similar findings were also observed in CTO patients with DM and a Syntax score ≥23. Poor CCC could increase the risk of MACCEs in CTO patients, particularly those with MetS, DM, and a Syntax score ≥23. Further prospective, multicenter studies are needed to validate our findings and to explore potential therapeutic interventions.

The Importance of Pan-Immune Inflammation Value (PIV) in Predicting Coronary Collateral Circulation in Stable Coronary Artery Patients.

In this study, the correlation between pan-immune-inflammation value (PIV) and coronary collateral circulation (CCC) in patients with chronic coronary syndrome (CCS) was analyzed. The study included 663 patients with CCS who underwent coronary angiography and had coronary stenosis of ≥95% in at least one major coronary vessel. The participants were divided into two groups: good CCC (Rentrop score 2-3) and poor CCC (Rentrop score 0-1). PIV score was calculated as monocyte x platelet x neutrophil/lymphocyte count. When the patient groups who developed good and poor CCC were compared, neutrophil/lymphocyte ratio (NLR) (P < .001), C-reactive protein (CRP) levels, CRP/albumin ratio (CAR) (P < .001), systemic immune-inflammation index (SII) (P < .001), and PIV (P < .001) were higher in patients with poor CCC. In multivariate logistic regression analysis, age, SII, NLR, CRP, CAR, and PIV were found to be independent predictors of poor CCC (P < .001, for all). Receiver operating characteristic (ROC) analysis demonstrated that a cut-off value of 442.2 for PIV predicted poor CCC slightly better compared to other markers, with 76.8% sensitivity and 70.1% specificity (area under ROC curve = 0.808 (95% CI: 0.764-0.851), P < .001). These findings suggest that PIV can be used as an independent predictor of CCC development.

Prognostic Nutritional Index is Associated with the Degree of Coronary Collateral Circulation in Stable Angina Patients with Chronic Total Occlusion.

Coronary collateral circulation (CCC) can effectively improve myocardial blood supply to the area of CTO (chronic total coronary occlusion) and can, thus, improve the prognosis of patients with stable coronary syndrome (SCS). The degree of inflammation and some inflammation markers were associated with the development of collaterals. To investigate whether prognostic nutritional index (PNI) has an association with the development of CCC in patients with SCS. A total of 400 SCS patients with the presence of CTO in at least one major epicardial coronary artery were included in this study. The patients were divided into two groups according to the Rentrop score. Scores of 0 to 1 were considered poor developed CCC, and scores of 2 to 3 were accepted as good developed CCC. Statistical significance was set as a p-value < 0.05 for all analyses. The mean age of the study cohort was 63±10 years; 273 (68.3%) were males. The poor-developed CCC group had a significantly lower PNI level compared with the good-developed CCC group (38.29±5.58 vs 41.23±3.85, p< 0.001). In the multivariate analysis, the PNI (odds ratio 0.870; 95% confidence interval 0.822-0.922; p< 0.001) was an independent predictor of poorly developed CCC. The PNI can be used as one of the independent predictors of CCC formation. It was positively associated with the development of coronary collaterals in SCS patients with CTO.

Elevated uric acid/albumin ratio as a predictor of poor coronary collateral circulation development in patients with non-ST segment elevation myocardial infarction.

Uric acid/albumin ratio (UAR) is a novel composite biomarker with superior predictive value for cardiovascular disease. To investigate the relationship between UAR and coronary collateral circulation (CCC) in patients with non-ST segment elevation myocardial infarction (NSTEMI). A total of 205 NSTEMI patients who underwent coronary arteriography with at least one major coronary stenosis, 95% were included. Patients were divided into two groups according to CCC development: poorly-developed CCC group (Rentrop 0-1) and well-developed CCC (Rentrop 2-3). Univariate analysis and logistic regression analysis were utilized to investigate the factors influencing adverse CCC formation in NSTEMI patients. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of UAR, C-reactive protein (CRP), uric acid, and albumin for patients with poorly developed CCC, and the area under the curve (AUC) was compared. The UAR values of NSTEMI patients were significantly higher in the poorly developed CCC group than those in the well-developed CCC group (10.19 [8.80-11.74] vs. 7.79 [6.28-9.55], p < .001). In the multiple logistic regression tests, UAR (odds ratio [OR]: 1.365, 95% confidence interval [CI]: 1.195-1.560, p < .001), CRP (OR: 1.149, 95% CI: 1.072-1.231, p < .001), and diabetes (OR: 2.924, 95% CI: 1.444-5.920, p = .003) were independent predictors of poorly developed CCC. The ROC curve analysis showed that the optimal cut-off value of UAR was 8.78 in predicting poorly developed CCC with a sensitivity of 76.8% and specificity of 62.4%, with the AUC of 0.737 (95% Cl: 0.668-0.805, p < .001). Elevated UAR may be an independent and effective biomarker for predicting poorly-developed CCC development in NSTEMI patients.

The Atherogenic Index of Plasma is a Predictor for Chronic Total Occlusion and Coronary Collateral Circulation Formation in CTOs Patients.

The atherogenic index of plasma (AIP), determined by the logarithmic transformation of the ratio of triglyceride (TG) and high-density lipoprotein cholesterol (HDL-C), was found to be a marker of cardiovascular disease. We sought to investigate the correlation between the atherogenic AIP and coronary collateral circulation (CCC) formation in chronic total occlusive (CTOs) patients. This retrospective cohort study included 665 non-CTOs and 345 CTOs patients. CTOs were divided into 206 CCC poor formation patients and 139 CCC good formation patients according to the Cohen-Rentrop grade. Spearman correlation analysis was carried out to obtain the relationship between AIP and the Rentrop grade. We used multivariate logistic regression analysis to assess CTOs and CCC poor formation risk factors. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold for AIP to predict CTOs and CCC poor formation. The predicted increment of AIP on CTOs and CCC poor formation was evaluated by calculating the Net Reclassification Index (NRI) and the Integrated Discriminant Index (IDI). AIP in CTOs was significantly elevated compared to non-CTOs patients [(1.55 (1.02, 2.59)) vs (1.26 (0.82, 1.90)), p 0.001] AIP in the CCC poor formation group was significantly higher than that in the CCC good formation group [(1.73 (1.12, 2.90)) vs (1.37 (0.84, 2.13)), p = 0.002]. There was a negative correlation between AIP and the Rentrop grade (r = -0.145, p = 0.007). The results of multivariate logistic regression revealed that AIP was an independent predictor of CTOs (OR = 4.371, 95% CI: 2.436-7.844, p 0.001) and CCC poor formation (OR = 3.749, 95% CI: 1.628-8.635, p = 0.002). In the ROC analysis, the area under the curve of AIP for identifying CTOs and CCC poor formation was 0.596 (OR = 3.680, 95% CI: 1.490-9.090, p = 0.005) and 0.597 (95% CI: 0.535-0.658, p = 0.002), respectively. Contrary to previous research, we found that AIP is a moderate but not powerful indicator for detecting both CTO patients and poor CCC formation.

Are Thiols Useful Biomarkers for Coronary Collateral Circulation in Patients with Stable Coronary Artery Disease?

Our aim was to investigate the relationship between thiol, which is the main component of the antioxidant system, and coronary collateral circulation (CCC). Our patients consisted of people with stable coronary artery disease (sCAD) and total occlusion in at least one vessel (n = 249). We divided the patients into two groups, good and poor, according to their CCC degree. We determined that DM, total thiol, and disulfide are independent predictors of poor CCC in multivariate logistic regression analysis (OR: 1.012, 95% CI: 1.008-1.017, p < 0.001; OR: 1.022, 95% CI: 1.000-1.044, p = 0.044; OR: 2.671, 95% CI: 1.238-5.761, p = 0.012, respectively). The ROC analysis showed a cut-off value of 328.7 for native thiol regarding the prediction of poor CCC, with 67.4% specificity and 78% sensitivity. For disulfide, it revealed a cut-off value of 15.1 regarding the prediction of poor CCC, with 57.9% specificity and 69.5% sensitivity. In this study, we detected that the patients with sCAD who developed poor CCC had lower levels of native thiol, total thiol, and disulfide compared to those with good CCC. The most interesting finding of our study is that CCC formation is an effective predictor of the antioxidant cascade rather than the inflammation cascade in sCAD patients.

Comparison of the effect of uric acid/albumin ratio on coronary colleteral circulation with other inflammation-based markers in stable coronary artery disease patients.

The Uric acid/Albumin ratio (UAR) has recently been identified as a prominent marker in cardiovascular diseases. In this study, we aimed to reveal the effect of UAR on coronary collateral circulation (CCC) in patients with stable coronary artery disease (CAD) patients by comparing it with conventional inflammation-based markers. In this study, 415 consecutive patients who underwent coronary angiography for stable angina pectoris and were found to have chronic total occlusion in at least one coronary artery were retrospectively included. The study population was divided into two groups as good CCC (Rentrop 2-3) and poor CCC (Rentrop 0-1) according to the Rentrop classification, and the groups were compared in terms of UAR and other traditional inflammation-based markers. In the poor CCC group, C-reactive protein/albumin ratio (CAR), monocyte/high-density lipoprotein cholesterol ratio (MHR), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and UAR were found to be significantly high (p < .05, for all). UAR negatively correlated with rentrop classification (r = -0.383, p < .001). In multivariate regression analysis, MHR, NLR, SII and UAR were determined as independent predictors for poor CCC (p < .05, for all). The ability of UAR to predict poor CCC was superior to uric acid and albumin alone (p < .0001, for both). In addition, UAR was found to be superior to other inflammation-based markers in predicting poor CCC (p < .005, for all). UAR was identified as a strong and independent predictor of CCC. In this context, UAR may be a useful biomarker in the risk prediction of patients with stable CAD.

Association of Visceral Fat Index with Coronary Collateral Circulation in Patients with Coronary Artery Disease

Abstract: Background: Coronary collateral circulation (CCC) is a network of anastomosing channels, established by heart in response to ischemia of myocardium. Hypertension, diabetes mellitus, and BMI are well established risk factors for development of poor CCC. Good CCC minimizes symptoms of angina, reduce the size of infarcts and prevent adverse cardiac events. The current research study was designed to find out the association of visceral adiposity and development of CCC among patients with coronary artery disease. Materials and Methods: The prospective study, conducted in Civil Hospital Karachi, comprised of 270 patients of coronary artery disease. According to the Rentrop Cohen categorization, patients were placed into two groups: the group with good collateral circulation having Rentrop grades i2-3 (n = 140) and the group with poor collateral circulation having Rentrop grades i0-1(n = 130). Rentrop score was determined by angiography. Segmental multi-frequency bioelectrical impedance analyzer was used to determine body fat mass and body muscle mass. Using Omron body fat and weight measurement systems, visceral fat index (VFI) was evaluated to determine the composition of visceral adipose tissue. SPSS was used for data analysis (Version 22). To assess the independent risk factor for poor CCC, logistic regression analysis was used. ROC curve was constructed to assess the efficacy of VFI in identifying CCC. Results: Overall, good collateral circulations were observed in 51.9% (n=140) of CAD patients, whereas poor collateral circulations were ound in 48.1% (n=130) of patients. Poor CCC was significantly associated with hypertension (OR=3, 95%CI= 0.111-8.231, p = .001) and VFI (OR=2, 95%CI= 1.451-3.567, p =.001). ROC analysis revealed a VFI &gt; 9 to be a potential predictor of poor CCC with AUC=0.9, sensitivity of 95.00% and specificity of 86%. Conclusion: The current study concluded that greater VFI and concomitant hypertension considerably increase the likelihood of having poor CCC, therefore, visceral adiposity can be considered as a potential target for preventing poor collateral circulation in patients with established cardiac disease.

Hyperinsulinemia and Poor Coronary Collateral Circulation in Coronary Artery Occlusion: A Novel Finding, Yet of Therapeutic Significance or Not [Letter

Hyperinsulinemia and Poor Coronary Collateral Circulation in Coronary Artery Occlusion: A Novel Finding, Yet of Therapeutic Significance or Not [Letter

The effect of interarm blood pressure difference on coronary collateral flow in patients with ST-segment elevation myocardial infarction who had undergone primary percutaneous coronary intervention.

In patients with acute myocardial infarction, coronary collateral circulation (CCC) is associated with reduced infarct size, preserved cardiac function, and decreased mortality. An interarm blood pressure difference (IABPD) is shown to be independently associated with cardiovascular and all-cause of mortality. We aimed to determine the effect of IABPD on coronary collateral flow in patients with ST-segment elevation myocardial infarction (STEMI) who had undergone primary percutaneous coronary intervention (p-PCI). We prospectively investigated 1,348 consecutive patients who were hospitalized for STEMI and underwent p-PCI. The Rentrop classification was used to assess CCC. According to this classification, we defined Rentrop 0 and 1 as poor CCC, and Rentrop 2 and 3 as good CCC. A 10 mm Hg difference is considered the upper limit of IABPD. Patients were divided into two groups according to the collateral circulation, 325 patients (24%) had good collateral, while 1,023 patients (76%) had poor collateral. IABPD was significantly higher in the poor collateral group (57 patients, 5.6%) than in the good collateral group (9 patients, 2.8%) (p=0.04). Pre-infarction angina and IABPD were identified as independent predictors of poor collateral (OR: 0.516, 95% CI 0.370-0.631, p=0.007; OR: 3.681, 95% CI: 1.773-7.461, p=0.01, respectively) in multivariate analysis. The IABPD was shown as an independent predictor of poor collateral circulation in patients with STEMI who underwent p-PC.

Increased Plasma Non-High-Density Lipoprotein Levels and Poor Coronary Collateral Circulation in Patients With Stable Coronary Artery Disease.

This study investigated the relationship between coronary collateral circulation (CCC) and non-high-density lipoprotein cholesterol (non-HDL-C) in patients with stable coronary artery disease (CAD). Coronary collateral circulation plays a critical role in supporting blood flow, particularly in the ischemic myocardium. Previous studies show that non-HDL-C plays a more important role in the formation and progression of atherosclerosis than do standard lipid parameters. A total of 226 patients with stable CAD and stenosis of more than 95% in at least 1 epicardial coronary artery were included in the study. Rentrop classification was used to assign patients into group 1 (n = 85; poor collateral) or 2 (n = 141; good collateral). To adjust for the observed imbalance in baseline covariates between study groups, propensity-score matching was used. Covariates were diabetes, Gensini score, and angiotensin-converting enzyme inhibitor use. In the propensity-matched population, the plasma non-HDL-C level (mean [SD], 177.86 [44.0] mg/dL vs 155.6 [46.21] mg/dL; P = .001) was statistically higher in the poor-collateral group. LDL-C (odds ratio [OR], 1.23; 95% CI, 1.11-1.30; P = .01), non-HDL-C (OR, 1.34; 95% CI, 1.20-1.51; P = .01), C-reactive protein (OR, 1.21; 95% CI, 1.11-1.32; P = .03), systemic immune-inflammation index (OR, 1.14; 95% CI, 1.05-1.21; P = .01), and C-reactive protein to albumin ratio (OR, 1.11; 95% CI, 1.06-1.17; P = .01) remained independent predictors of CCC in multivariate logistic regression analysis. Non-HDL-C was an independent risk factor for developing poor CCC in stable CAD.

Hyperinsulinemia Impaired Coronary Collateral Circulation in Patients with Chronic Total Coronary Occlusion.

Hyperinsulinemia impaired cardiovascular system and endothelial function in the population. The purpose of this study was to explore the relationship between hyperinsulinemia and coronary collateral circulation in patients with chronic total coronary occlusion. Patients with stable angina and at least one total coronary occlusion were enrolled in this study. Collateral grade was determined according to Rentrop's classification. Patients were divided into a good coronary collateral circulation (CCC) group (grade 2 or 3 collateral vessels, n = 223) and a poor CCC group (grade 0 or 1 collateral vessels, n = 115). Fasting insulin level (FINS) and fasting glucose level (FBS) were measured. Endothelial function evaluated by flow-mediated dilation (FMD). Serum FINS level was significantly increased in the poor CCC group (P < 0.01). Patients in the poor CCC group had higher levels of FBS, HbA1C, and homeostasis model assessment for insulin resistance (HOMA-IR) than patients in the good CCC group. The poor CCC group also had lower levels of FMD, lower LVEF and higher syntax scores than the good CCC group. Hyperinsulinemia (T3, FINS ≥15.22 μIU/mL) increased OR for the incidence of the poor CCC group (OR 2.419, 95% CI 1.780-3.287) in multivariate analysis. Multivariate logistic regression also revealed that diabetes, HbA1c, HOMA-IR, HDL-C and Syntax score were independent predictors of poor CCC (all P < 0.05). Hyperinsulinemia is a valuable predictor of poor collateral formation in patients with chronic total coronary occlusion.

The association of serum uric acid/albumin ratio with the development of coronary collateral circulation in patients with chronic total occluded coronary arteries.

Introduction: Coronary collateral circulation (CCC) develops in chronic total occluded (CTO) vessels and protects the myocardium against ischemia in addition to the improvement of cardiac functions. Poor CCC is related to adverse cardiac events as well as poor prognosis. Serum uric acid/albumin ratio (UAR) has emerged as a novel marker associated with poor cardiovascular outcomes. We aimed to investigate whether there was an association between UAR and poor CCC in CTO patients. Methods: This study was comprised of 212 patients with CTO (92 with poor CCC and 120 with good CCC). All patients were graded based on Rentrop scores to poor CCC (Rentrop scores 0 and 1) and good CCC (Rentrop scores 2 and 3). Results: Poor CCC patients had higher frequencies of diabetes mellitus, triglyceride levels, Syntax and Gensini scores, uric acid, and UAR and lower lymphocyte, high-density lipoprotein cholesterol, and ejection fraction when compared to good CCC patients. UAR was an independent predictor of poor CCC in CTO patients. Furthermore, UAR had a better discriminative ability for patients with poor CCC from good CCC compared to serum uric acid and albumin. Conclusion: Based on the results of the study, the UAR could be used to detect poor CCC in CTO patients.

Good coronary collateral circulation is not associated with better prognosis in patients with chronic total occlusion, regardless of treatment strategy

ObjectiveThis study aimed to assess the effects of coronary collateral circulation (CCC) on the prognosis of patients with chronic total occlusion (CTO) under different treatment strategies. MethodsWe analyzed a total of 1124 patients who were diagnosed with CTO and divided them into groups with good CCC (grade 2 to 3, n = 539) or poor CCC (grade 0 to 1, n = 531). The primary outcome was cardiac death during follow-up; the secondary outcome was major adverse cardiovascular events (MACEs). We also performed subgroup analyses in groups with and without CTO revascularization (CTO-R and CTO-NR, respectively), and sensitivity analyses excluding patients who received failed CTO-PCI to further investigate the effect of CCC. ResultsDuring a median follow-up duration of 23 months, we did not detect any significant differences between the good CCC group and the poor CCC group in terms of cardiac death (4.2% vs 4.1%; adjusted hazard ratio [HR], 1.01; 95% confidence interval [CI], 0.56–1.83; p = 0.970) and MACEs (23.6% vs 23.2%; adjusted HR, 1.07; 95% CI, 0.84–1.37; p = 0.590). Subgroup analyses according to CTO revascularization showed similar results. In addition, we observed no differences in sensitivity analyses when patients who received failed CTO-PCI were excluded. ConclusionGood CCC was not associated with a lower risk of cardiac death or MACEs among patients with CTO, regardless of whether the patients received CTO revascularization treatment.

Differentially hypomethylated cell-free DNA and coronary collateral circulation

BackgroundThe factors affecting cardioprotective collateral circulation are still incompletely understood. Recently, characteristics, such as CpG methylation of cell-free DNA (cfDNA), have been reported as markers with clinical utility. The aim of this study was to evaluate whether cfDNA methylation patterns are associated with the grade of coronary collateral circulation (CCC).ResultIn this case–control study, clinical and angiographic data were obtained from 143 patients (mean age, 58 years, male 71%) with chronic total coronary occlusion. Enzymatic methyl-sequencing (EM-seq) libraries were prepared using the cfDNA extracted from the plasma. Data were processed to obtain the average methylation fraction (AMF) tables of genomic regions from which blacklisted regions were removed. Unsupervised analysis of the obtained AMF values showed that some of the changes in methylation were due to CCC. Through random forest preparation process, 256 differentially methylated region (DMR) candidates showing strong association with CCC were selected. A random forest classifier was then constructed, and the area under the curve of the receiver operating characteristic curve indicated an appropriate predictive function for CCC. Finally, 20 DMRs were identified to have significantly different AMF values between the good and poor CCC groups. Particularly, the good CCC group exhibited hypomethylated DMRs. Pathway analysis revealed five pathways, including TGF-beta signaling, to be associated with good CCC.ConclusionThese data have demonstrated that differential hypomethylation was identified in dozens of cfDNA regions in patients with good CCC. Our results support the clinical utility of noninvasively obtained epigenetic signatures for predicting collateral circulation in patients with vascular diseases.

Study to relate of the coronary collareral circulation with major adverse cardiac events after percutatnenous coronary invervention in st-elevation myocardial infarction

Background: The presence of good coronary collateral circulation (CCC) can protect and preserve myocardium from ischemia, increase myocardial contractility, and reduce adverse clinical events. However, its impact on mortality is still a topic of debate, particularly in acute coronary syndrome (ACS). The aim of this study was to investigate the association of CCC with cardiac risk factors and in-hospital mortality in patients hospitalized with a diagnosis of ACS.&#x0D; Methods: The study population included 200 patients with ST – elevation myocardial infrarction who underwent coronary angiography and were found to have TIMI flow coronary 0 or 1. The CCC was graded according to the Rentrop classification. The patients were classified into a poor CCC group (Rentrop grades 0-1, n=161) or a good CCC group (Rentrop grades 2-3, n=39). Following of major adverse cardiac events about 30day after PCI.&#x0D; RESULTS: Patients with good CCC had time onset chest pains (p = 0,001), higher rate of Killip class of at least 2 at admission (p = 0,031), peak troponin T (p = 0,037), lacticemia lower (p = 0,03), multivessel lesion upper (p = 0,03) with the patients with poor CCC. MACE of patients with good CCC nosignificant with the patient with poor CCC (OR=3,9, 95%CI[0,5- to 30,5], mortality (HR 2,5, 95%CI[0,31-19,2], p=0,45), unplanned target vessel revascularisation (TVR) (HR 28,8 (0.006 to 1.4), p=0.44), comelack in-hospital by cardiovascular causes (HR 1,06, 95%CI[0,29 to 3,7]. P=0,93). Increase left ventricular ejection fraction after 30day in patients with good CCC upper patients with poor CCC (p=0,004).&#x0D; CONCLUSION: In contrast to previous studies, our study did not confirm a beneficial role of good CCC in patients with ST – elevation myocardial infarction. The presence of good CCC was even independently associated NYHA grades, Killip grades, peak troponin T, lacticemia and left ventricular ejection fraction.

The relationship between mean platelet volume lymphocyte ratio and collateral circulation in patients with chronic total coronary occlusion.

To correlate mean platelet volume lymphocyte ratio (MPVLR) and coronary collateral circulation (CCC) in patients with chronic total occlusion (CTO). A total of 643 patients who were hospitalized at a single large academic medical center from January 2020 to October 2021 and had CTO lesions in at least one major coronary artery confirmed by coronary angiography were retrospectively analyzed. Patients were divided according to the Rentrop criteria into poorly formed CCC (Rentrop grade 0-1, n = 235) and well-formed CCC (Rentrop grade 2-3, n = 408) groups. Mean platelet volume lymphocyte ratio (MPVLR) was calculated from routine laboratory data (MPV divided by lymphocyte count). The clinical data of the two groups were compared, and relationships between MPVLR and CCC formation were analyzed. The MPVLR of patients with poorly formed CCC was significantly higher than that of patients with well-formed CCC (7.82 ± 3.80 vs. 4.84 ± 1.42, P < 0.01). The prevalence of diabetes mellitus and C-reactive protein levels were significantly higher in the poor CCC group than in the good CCC group (P < 0.01), while the proportions of patients with CTO or multivessel lesions in the right coronary artery were significantly lower in the poor CCC group than in the good CCC group (P < 0.01). Multivariate logistic regression analysis identified MPVLR (OR: 2.101, 95% CI: 1.840-2.399, P < 0.01), C-reactive protein level (OR: 1.036, 95% CI: 1.008-1.064, P < 0.05), a history of diabetes mellitus (OR: 2.355, 95% CI: 1.532-3.621, P < 0.01), and right coronary CTO ratio (OR: 0.313, 95% CI: 0.202-0.485, P < 0.01) as independent risk factors for CCC formation. The area under the ROC curve of MPVLR for predicting poorly formed CCC was 0.82 (95% CI: 0.784-0.855, P < 0.01), the best cut-off point was 6.02 and the sensitivity and specificity of MPVLR for predicting poorly formed CCC were 72.3 and 82.4%, respectively. In patients with coronary CTO, MPVLR was negatively correlated with CCC and a high MPVLR level was an independent predictor of poorly formed CCC.

Correlation between serum uric acid and coronary collateral circulation in patients with coronary chronic total occlusion

Background and purpose: Previous studies showed urate crystals in atherosclerotic plaques, suggesting that uric acid is involved in plaque formation, but whether it affects the formation of coronary collateral circulation (CCC) is unknown. This single-center retrospective study was conducted to investigate whether serum uric acid (SUA) level has an association with the CCC in patients with coronary chronic total occlusion (CTO). Methods: The final analysis included a total of 94 patients with CTO (defined as 100% stenosis in at least one of the left anterior descending artery, circumflex artery and right coronary artery with thrombolysis in myocardial infarction [TIMI] grade 0 of forward flow) for more than 3 months (66.03 ± 10.10 years of age; 54 men and 40 women). In the analysis, patients were divided into four groups of equal size based on the SUA level on admission (n = 32, 31, 31 for low, mid, and high SUA groups). Multivariate logistic regression was conducted to identify risk factors that were associated with poor CCC (as defined by Rentrop level ≤ 1). Results: The rate of poor CCC was 44.5% in the low SUA group, 54.8% in the mid-SUA group, and 77.4% in the high SUA group, respectively (P &lt; 0.05 for all three pairwise comparisons). In multivariate regression analysis that treated SUA as a continuous variable, poorer CCC was associated with higher SUA (adjusted odds ratio [OR] = 1.011, 95% confidence interval [CI]: 1.005–1.017, P &lt; 0.05). In comparison to the patients with lowest SUA in the regression analysis that treated SUA as a categorical variable, there was a statistically non-significant trend for increased risk of poor CCC (OR 2.277, 95% CI: 0.753–6.884) in the patient with mid-level SUA. The risk of poor CCC was significantly elevated in the patients with high SUA (OR 6.243, 95% CI: 1.872–20.828). Conclusions: Elevated SUA level was associated with poor CCC in patients with CTO.