The Treatment of Coronary Artery Disease

Exosome-mediated effects of BRCA1 on cardiovascular artery disease

The progression of coronary artery disease atherosclerosis (CAD) is closely associated with cardiomyocyte apoptosis and inflammatory responses. This study focused on investigating the impact of BRCA1 in exosomes (Exo) derived from M1 macrophages on CAD. Through the analysis of single-cell RNA-seq datasets, significant communication between macrophages and cardiomyocytes in CAD patients was observed. BRCA1, identified as a significant apoptosis-related gene, was pinpointed through the assessment of differential gene expression and weighted gene co-expression network analysis (WGCNA). Experimental procedures involved BRCA1 lentivirus transfection of M1 macrophages, isolation of Exo for application to cardiomyocytes and smooth muscle cells, cell viability assessments, and characterization of Exo. The results showed that BRCA1-Exo from M1 macrophages induced cardiomyocyte apoptosis and affected smooth muscle cell behavior. In vivo studies further supported the exacerbating effects of BRCA1-Exo on CAD progression. Overall, the involvement of Exo carrying BRCA1 from M1 macrophages is evident in the induction of cardiomyocyte apoptosis and the regulation of smooth muscle cell behaviors, thereby contributing to CAD atherosclerosis progression. These findings unveil novel molecular targets that could have potential implications for CAD treatment strategies.

Prognostic Value of Neutrophil, Monocyte, Lymphocyte, and Platelet/High-Density Lipoprotein Ratios in Ischemic Heart Disease: An NHANES Analysis

The prognostic value of easily accessible hematologic biomarkers, such as the neutrophil-to-HDL ratio, as well as the monocyte-to-HDL, lymphocyte-to-HDL, and platelet-to-HDL ratios, remains underexplored in patients with established ischemic heart disease (IHD). Community-dwelling adults aged ≥ 20 with established IHD from the National Health and Nutrition Examination Survey (NHANES) 1999-2018 were eligible. Mortality was tracked through linkage to the National Death Index (NDI) until the end of 2019. Cox regressions examined the associations between these hematologic ratios and all-cause mortality. Receiver operating characteristic (ROC) curve analysis assessed the predictive accuracy of these ratios for mortality. A total of 2265 patients were analyzed, with a median follow-up period of 80 months. After adjusting for demographic factors, lifestyle variables, and comorbidities, patients in the highest quartile of the neutrophil/HDL had a significantly increased all-cause mortality risk (aHR = 1.41, 95% CI: 1.13-1.77) compared to those in the lowest quartile. No significant associations were found between the other ratios and mortality. In conclusion, this study found that among the hematologic ratios analyzed, an elevated neutrophil-to-HDL ratio has the strongest potential for mortality risk stratification in community-dwelling patients with ischemic heart disease in the US, offering important guidance for both patients and clinicians.

The Serial Mediation Effects of Social Support and Self-Efficacy on Health Literacy and Self-Management Behaviors Among Young and Middle-Aged Cardiac Patients After Percutaneous Coronary Intervention: A Cross-Sectional Study in China

Background

Coronary heart disease (CHD) is a significant public health concern affecting an increasing number of young and middle-aged adults. Effective self-management is essential to promote the recovery and quality of life of patients with CHD after percutaneous coronary intervention (PCI), and is closely related to health literacy. However, little is known about the underlying mechanisms of this association.

Objective

This study aimed to investigate the mediating effects of social support and self-efficacy in the relationship between health literacy and self-management behaviors among young and middle-aged patients with CHD after PCI.

Methods

A cross-sectional study was conducted among 360 CHD patients aged 18-59 who after PCI within 1 to 3 months. The data were collected from September 2022 to July 2023 in a tertiary hospital in China. The questionnaires were utilized to gather data on demographic characteristics, social support, self-efficacy, health literacy, and self-management behaviors. The serial mediation model was examined via bootstrapping techniques using SPSS PROCESS v.4.3 macros (Model 6).

Results

Participants health literacy was associated with self-management behaviors both directly (β=0.334, P<0.001) and indirectly through social support (β=0.149, P<0.001) and self-efficacy (β=0.095, P<0.001). Social support and self-efficacy serially mediated the association between health literacy and self-management behaviors (β=0.226, P<0.001), with the total indirect effects accounting for 44.3%, these three mediating paths account for 24.8%, 15.8%, and 3.7% of the overall effect, respectively.

Conclusion

Health literacy influences self-management behaviors that the study's findings suggest were significant. Social support and self-efficacy act as mediators in the relationship between health literacy and self-management behaviors. Our findings provide helpful guidance for the future development of targeted and effective psychosocial interventions to enhance CHD patients' self-management, ultimately improving prognosis and quality of life.

Evolution of the Percutaneous Coronary Intervention (PCI) and Coronary Artery Bypass Grafting (CABG) Indication and Mortality Rates in Spain from 2010 to 2019

Percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG) are the main interventional treatments for coronary artery disease (CAD) patients. Both procedures are constantly being perfected and developed. This study aims to analyze the evolution of intervention mortality rates of PCI and CABG in recent years in Spain. We use a database of all hospital discharges from CABG and PCI procedures in Spain during two periods, between the years 2010 to 2012 and 2016 to 2019. We elaborate two multivariate regression logistic models to test the differences in mortality between the two periods and the two procedures, adjusting the mortality rates by age, gender, and comorbidities. We find strong evidence that CABG significantly reduced mortality rates, especially in complex patients, while PCI remained almost constant. We also discuss how physicians incorporate the improvement in procedures' performance into the decision-making for the recommendation of these two procedures in CAD patient management.

Predicting major adverse cardiovascular events in angina patients using radiomic features of pericoronary adipose tissue based on CCTA

Objective

This study aims to evaluate whether radiomic features of pericoronary adipose tissue (PCAT) derived from coronary computed tomography angiography (CCTA) can better predict major adverse cardiovascular events (MACE) in patients with angina pectoris.

Methods

A single-center retrospective study included 239 patients with angina pectoris who underwent coronary CT examinations. Participants were divided into MACE (n = 46) and non-MACE (n = 193) groups based on the occurrence of MACE during follow-up, and further allocated into a training cohort (n = 167) and a validation cohort (n = 72) at a 7:3 ratio. Automatic segmentation of PCAT surrounding the proximal segments of the left anterior descending artery (LAD), left circumflex coronary artery (LCX), and right coronary artery (RCA) was performed for all patients. Radiomic features of the coronary arteries were extracted, screened, and integrated while quantifying the fat attenuation index (FAI) for the three vessels. Univariate and multivariate logistic regression analyses were utilized to select clinical predictors of adverse cardiovascular events. Subsequently, machine learning techniques were employed to construct models based on FAI, clinical features, and radiomic characteristics. The predictive performance of each model was assessed and compared using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis for clinical utility.

Results

The radiomics model demonstrated superior performance in predicting MACE in patients with angina pectoris within both the training and validation cohorts, yielding areas under the curve (AUC) of 0.83 and 0.71, respectively, which significantly outperformed the FAI model (AUC = 0.71, 0.54) and the clinical model (AUC = 0.81, 0.67), with statistically significant differences in AUC (p < 0.05). Calibration curves for all three predictive models exhibited good fit (all p > 0.05). Decision curve analysis indicated that the radiomics model provided higher clinical benefit than the traditional clinical and FAI models.

Conclusion

The CCTA-based PCAT radiomics model is an effective tool for predicting MACE in patients with angina pectoris, assisting clinicians in optimizing risk stratification for individual patients. The CCTA-based radiomics model significantly surpasses traditional FAI and clinical models in predicting major adverse cardiovascular events in patients with angina pectoris.

Association of hemoglobin glycation index with clinical outcomes in patients with coronary artery disease: a prospective cohort study

BACKGROUND

To analyze the association between the hemoglobin glycation index (HGI) and the long-term prognosis of patients with coronary artery disease (CAD).

METHODS

HGI represented the difference between laboratory measured Hemoglobin A1c (HbA1c) and predicted HbA1c based on a liner regression between Hb1Ac and fasting plasma glucose (FPG). A total of 10 598 patients who treated with percutaneous coronary intervention (PCI) were stratified into three groups (low HGI group: HGI<-0.506, medium HGI group: -0.506 ≤ HGI < 0.179, and high HGI group: HGI ≥ 0.179). The primary endpoints includes all-cause mortality (ACM) and cardiac mortality (CM). The secondary endpoints were major adverse cardiac events (MACEs) and major adverse cardiac and cerebrovascular events (MACCEs).

RESULTS

A total of 321 ACMs, 243 CMs, 774 MACEs, and 854 MACCEs were recorded during a 60-month follow-up period. After adjusting for confounders using a multivariate Cox regression analysis, the patients in the low HGI group had a significantly increased risk of ACM (adjusted HR = 1.683, 95%CI:1.179-2.404, P = 0.004) and CM (HR = 1.604, 95%CI:1.064-2.417, P = 0.024) as compared with patients in the medium HGI group. Similarly, the patients in the high HGI group had an increased risk of MACEs (HR = 1.247, 95% CI: 1.023-1.521, P = 0.029) as compared with patients in the medium HGI group. For ACM, CM, and MACEs, a U-shaped relation were found among these three groups. However, we did not find significant differences in the incidence of MACCEs among these three groups.

CONCLUSION

The present study indicates that HGI could be an independent predictor for the risk of mortality and MACEs in patients with CAD.

Accuracy of deep learning in the differential diagnosis of coronary artery stenosis: a systematic review and meta-analysis

BACKGROUND

In recent years, as deep learning has received widespread attention in the field of heart disease, some studies have explored the potential of deep learning based on coronary angiography (CAG) or coronary CT angiography (CCTA) images in detecting the extent of coronary artery stenosis. However, there is still a lack of a systematic understanding of its diagnostic accuracy, impeding the advancement of intelligent diagnosis of coronary artery stenosis. Therefore, we conducted this study to review the accuracy of image-based deep learning in detecting coronary artery stenosis.

METHODS

We retrieved PubMed, Cochrane, Embase, and Web of Science until April 11, 2023. The risk of bias in the included studies was appraised using the QUADAS-2 tool. We extracted the accuracy of deep learning in the test set and performed subgroup analyses by binary and multiclass classification scenarios. We performed a subgroup analysis based on different degrees of stenosis and applied a double arcsine transformation to process the data. The analysis was done by using R.

RESULTS

Our systematic review finally included 18 studies, involving 3568 patients and 13,362 images. In the included studies, deep learning models were constructed based on CAG and CCTA. In binary classification tasks, the accuracy for detecting > 25%, > 50% and > 70% degrees of stenosis at the vessel level were 0.81 (95% CI: 0.71-0.85), 0.73 (95% CI: 0.58-0.88) and 0.61 (95% CI: 0.56-0.65), respectively. In multiclass classification tasks, the accuracy for detecting 0-25%, 25-50%, 50-70%, and 70-100% degrees of stenosis at the vessel level were 0.78 (95% CI: 0.73-0.84), 0.86 (95% CI: 0.78-0.93), 0.83 (95% CI: 0.70-0.97), and 0.70 (95% CI: 0.42-0.98), respectively.

CONCLUSIONS

Our study shows that deep learning models based on CAG and CCTA appear to be relatively accurate in diagnosing different degrees of coronary artery stenosis. However, for various degrees of stenosis, their accuracy still needs to be further improved.

Association of overweight and obesity with coronary risk factors and the presence of multivessel disease in patients with obstructive coronary artery disease - A nationwide registry study

Background

The growing prevalence of obesity is expected to increase the burden of coronary artery disease. This study examined the prevalence of overweight and obesity in patients with a first-time diagnosis of obstructive coronary artery disease in a contemporary population. The association of body-mass-index (BMI) with age, traditional risk factors, and the presence of multivessel disease were explored.

Methods and results

Using the Danish Nationwide registries, we identified 49,733 patients with a first-time diagnosis of obstructive coronary artery disease in the period 2012-2018. We investigated the association between BMI and coronary risk factors by multivariate logistic regression. Mean age was 65.8 ± 11.8 years, mean BMI was 27.5 kg/m2 ± 7.2, and 73.2 % were men. 66.3 % had a BMI ≥25 kg/m2 and 1.3 % were underweight. The prevalence of patients with BMI ≥25 kg/m2 decreased with increasing age and was 69 % in patients <50 year vs. 46.2 % in patients ≥80 years (p < 0.001). In all age groups, higher odds of BMI ≥25 kg/m2 were observed in males, former smokers, and patients with hypertension. In multivariate logistic regression, BMI ≥25 kg/m2 was not associated with presence of multivessel disease (p = 0.74).

Conclusion

In this large, nationwide study, 66.3 % of patients with first time diagnosis of obstructive coronary disease had BMI ≥25 kg/m2. Young patients had higher BMI and were more likely to be current smokers. Overweight or obesity was independently associated with the presence of diabetes and hypertension. BMI ≥25 kg/m2 was not independently associated with the presence of multivessel disease.

Targeting translocator protein protects against myocardial ischemia/reperfusion injury by alleviating mitochondrial dysfunction

Ischemic heart disease (IHD) remains a leading cause of mortalities worldwide, necessitating timely reperfusion to reduce acute mortality. Paradoxically, reperfusion can induce myocardial ischemia/reperfusion (I/R) injury, which is primarily characterized by mitochondrial dysfunction. Translocator protein (TSPO) participates in multiple cellular events; however, its role in IHD, especially in the process of myocardial I/R injury, has not been well determined. The aim of the present study was to investigate the functional role of TSPO in myocardial I/R injury and dissect the concomitant cellular events involved. This study utilized small interfering RNA (siRNA) technology to knock down TSPO expression. The I/R process was simulated using an anoxia/reoxygenation (A/R) model. The role of TSPO in H9c2 cardiomyocytes was assessed using various techniques, such as Western blotting, Flow cytometry, Reverse transcription-quantitative PCR (RT-qPCR), Immunofluorescence, Co-immunoprecipitation (co-IP) and similar methods. It was found that A/R markedly upregulated the expression of TSPO in cardiomyocytes. Inhibition of TSPO improved myocardial cell apoptosis and damage following A/R stimulation. Additionally, targeting TSPO alleviated mitochondrial damage, reduced mitochondrial ROS release and enhanced ATP synthesis following A/R stimulation. It was further confirmed that A/R stimulation induced a significant increase in the expression of pivotal markers [phosporylated-PKR-like ER kinase (PERK)/PERK, activating transcription factor 6 (ATF6) and inositol-requiring enzyme 1] involved in the adaptive unfolded protein response, which is accompanied by downstream signaling during endoplasmic reticulum (ER) stress. Notably, TSPO knockdown increased the expression of the aforementioned markers and, subsequently, TSPO was confirmed to interact with ATF6, suggesting that TSPO might play a role in ER stress during myocardial I/R injury. Finally, inhibition of TSPO upregulated mitophagy, as indicated by further decreases in P62 and increases in Parkin and PINK1 levels following A/R stimulation. Together, the results suggest that TSPO plays a multifaceted role in myocardial I/R injury. Understanding TSPO-induced cellular responses could inform targeted therapeutic strategies for patients with IHD.

Intravascular Ultrasound-Guided Versus Angiography-Guided Percutaneous Coronary Intervention: A Systematic Review and Meta-Analysis

This meta-analysis evaluated the clinical outcomes of intravascular ultrasound (IVUS)-guided versus angiography-guided percutaneous coronary intervention (PCI) in patients with coronary artery disease (CAD). A comprehensive literature search was conducted across major electronic databases, identifying relevant studies published up to August 15, 2024. Thirteen randomized controlled trials (RCTs) met the inclusion criteria, comparing IVUS-guided and angiography-guided PCI. The primary outcomes were major adverse cardiac events (MACE) and stent thrombosis, while secondary outcomes included all-cause mortality, cardiac mortality, myocardial infarction, and revascularization rates. Pooled analysis revealed that IVUS-guided PCI significantly reduced the risk of MACE (risk ratio (RR): 0.63, 95% CI: 0.50-0.79) and stent thrombosis (RR: 0.52, 95% CI: 0.30-0.90) compared to angiography-guided PCI. Secondary outcomes also favored IVUS guidance, with significant reductions in cardiac mortality, myocardial infarction, target lesion revascularization (TLR), and target vessel revascularization (TVR). While a trend towards reduced all-cause mortality was observed with IVUS guidance, it did not reach statistical significance. Notably, low heterogeneity across studies strengthened the reliability of these findings. Meta-regression analysis indicated that the presence of myocardial infarction did not significantly moderate the effect of IVUS on clinical outcomes, suggesting consistent benefits across patient subgroups. These results highlight the potential of IVUS-guided PCI to improve cardiovascular outcomes and reduce the need for repeat procedures. The findings support the growing body of evidence favoring IVUS use in PCI, particularly in complex lesions and high-risk patients. However, considerations such as cost-effectiveness and the need for specialized training remain important factors in the widespread adoption of IVUS-guided PCI in clinical practice.

Impact of exercise dosages based on American College of Sports Medicine recommendations on lipid metabolism in patients after PCI: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

The impact of exercise dosages based on American College of Sports Medicine(ACSM) recommendations on lipid metabolism in patients after PCI remains unclear. This study conducted a meta-analysis of reported exercise dosages from the literature to address this knowledge gap.

METHODS

A comprehensive search of databases was conducted to identify eligible randomized controlled studies of exercise interventions in patients after PCI, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Based on the recommended exercise dosages from ACSM for patients with coronary heart disease, exercise doses in the literature that met the inclusion criteria were categorized into groups that were highly compliant with ACSM recommendations and those with low or uncertain ACSM recommendations. The topic was the effect of exercise dose on lipid metabolism in post-PCI patients. This was assessed using standardized mean difference (SMD) and 95% confidence intervals (95% CI) for changes in triglycerides, total cholesterol, LDL, and HDL.

RESULTS

This systematic review included 10 randomized controlled studies. The subgroup analysis revealed statistically significant differences in the high compliance with ACSM recommendations group for triglycerides [SMD=-0.33 (95% CI -0.62, -0.05)], total cholesterol [SMD=-0.55 (95% CI -0.97, -0.13)], low-density lipoprotein [SMD=-0.31 (95% CI -0.49, -0.13)], high-density lipoprotein [SMD = 0.23 (95% CI 0.01, 0.46)], and body mass index [SMD=-0.52 (95% CI -0.87, -0.17)]. Compared to the low or uncertain compliance with ACSM recommendations group, the high compliance group exhibited significant differences in improving TC levels (-0.55(H) vs. -0.46(L)), HDL levels (0.23(H) vs. 0.22(L)), and BMI (-0.52(H) vs. -0.34(L)).

CONCLUSIONS

This study supports that high compliance with ACSM-recommended exercise dosages has significant impacts on improving TC levels, HDL levels, and BMI. However, no advantage was observed for TG or LDL levels.

Identification of Endoplasmic Reticulum Stress-Related Biomarkers in Coronary Artery Disease

Coronary artery disease (CAD) is caused by atherosclerotic lesions in the coronary vessels. Endoplasmic reticulum stress (ERS) acts in cardiovascular disease, and its role in CAD is not clear. A total of 13 differentially expressed ERS-related genes (DEERSRGs) in CAD were identified. Functional enrichment analysis demonstrated the DEERSRGs were mainly enriched in endoplasmic reticulum (ER)-related pathways. Then, eight genes (RCN2, HRC, DERL2, RNF183, CRH, TMED2, PPP1R15A, and IL1A) were authenticated as ERS-related biomarkers in CAD by least absolute shrinkage and selection operator (LASSO). The receiver operating characteristic (ROC) analysis showed that the LASSO logistic model constructed based on biomarkers had a better diagnostic effect, which was confirmed by the ANN and GSE23561 datasets. Also, ROC results showed that seven of the eight biomarkers had better diagnostic effects. The nomogram model had good predictive power, and biomarkers were mostly enriched in pathways associated with CAD. The biomarkers were significantly associated with 10 immune cells, and RCN2, DERL2, TMED2, and RNF183 were negatively correlated with most chemokines. Eight biomarkers had significant correlations with both immunoinhibitors and immunostimulators. In addition, eight biomarkers were significantly different in both CAD and control samples, CRH and HRC were upregulated in CAD. The quantitative reverse transcription-polymerase chain reaction (qRT-PCR) showed that RCN2, HRC, DERL2, CRH, and IL1A were consistent with the bioinformatics analysis. RCN2, HRC, DERL2, RNF183, CRH, TMED2, PPP1R15A, and IL1A were identified as biomarkers of CAD. Functional enrichment analysis and immunoassays for biomarkers provide new ideas for the treatment of CAD.

Research trends in lipid-lowering therapies for coronary heart disease combined with hyperlipidemia: a bibliometric study and visual analysis

Background

Cardiovascular disease (CVD) poses a significant global health and economic challenge, with atherosclerosis being a primary cause. Over the past 40 years, substantial research has been conducted into the prevention and reversal of atherosclerosis, resulting in the development of lipid-lowering agents such as statins and fibrates. Despite the extensive literature and formulation of numerous therapeutic guidelines in this domain, a comprehensive bibliometric analysis of the current research landscape and trends has not been performed. This study aimed to elucidate the evolution and milestones of research into lipid-lowering treatments for coronary heart disease (CHD) in conjunction with hyperlipidemia through bibliometric analysis, offering insights into future directions for treatment strategies.

Methods

This study examined publications from 1986 to 2023 retrieved from the Web of Science database (Core Collection). Utilizing tools such as VOSviewer, Pajek, and CiteSpace, we analyzed publication and citation numbers, H-indexes, contributions by countries and institutions, authorship, journal sources, and keyword usage to uncover research trajectories and areas of focus.

Results

Our analysis of 587 publications revealed a recent surge in research output, particularly post-2003. The American Journal of Cardiology published the highest number of studies, with 40 articles, whereas Circulation received the highest number of citations (6,266). Key contributors included the United States, Japan, and China, with the United States leading in citation numbers and the H-index. Harvard University and Leiden University emerged as pivotal institutions, and Professors J. Wouter Jukema and Robert P. Giugliano were identified as leading experts. Keyword analysis disclosed five thematic clusters, indicating a shift in research towards new drug combinations and strategies, signaling future research directions.

Conclusion

The last 4 decades have seen a notable rise in publications on lipid-lowering therapies for CHD and hyperlipidemia, with the United States retaining world-leading status. The increase in international collaboration aids the shift towards research into innovative lipid-lowering agents and therapeutic approaches. PCSK9 inhibitors and innovative combination therapies, including antisense oligonucleotides and angiopoietin-like protein 3 inhibitors, provide avenues for future research, intending to maximize the safety and efficacy of treatment approaches.

Advancements in Artificial Intelligence for Precision Diagnosis and Treatment of Myocardial Infarction: A Comprehensive Review of Clinical Trials and Randomized Controlled Trials

Coronary artery disease (CAD) is still a serious global health issue that has a substantial impact on death and illness rates. The goal of primary prevention strategies is to lower the risk of developing CAD. Nevertheless, current methods usually rely on simple risk assessment instruments that might overlook significant individual risk factors. This limitation highlights the need for innovative methods that can accurately assess cardiovascular risk and offer personalized preventive care. Recent advances in machine learning and artificial intelligence (AI) have opened up interesting new avenues for optimizing primary preventive efforts for CAD and improving risk prediction models. By leveraging large-scale databases and advanced computational techniques, AI has the potential to fundamentally alter how cardiovascular risk is evaluated and managed. This review looks at current randomized controlled studies and clinical trials that explore the application of AI and machine learning to improve primary preventive measures for CAD. The emphasis is on their ability to recognize and include a range of risk elements in sophisticated risk assessment models.

Development and implementation of a treatment pathway to reduce coronary angiograms - lessons from a failure

BACKGROUND

The rates of coronary angiograms (CA) and related procedures (percutaneous intervention [PCI]) are significantly higher in Germany than in other Organisation for Economic Co-ordination and Development (OECD) countries. The current guidelines recommend non-invasive diagnosis of coronary heart disease (CHD); CA should only have a limited role in choosing the appropriate revascularisation procedure. The aim of the present study was to explore whether improvements in guideline adherence can be achieved through the implementation of regional treatment pathways. We chose four regions of Germany with high utilisation of CAs for the study. Here we report the results of the concomitant qualitative study.

METHODS

General practitioners and specialist physicians (cardiologists, hospital-based cardiologists, emergency physicians, radiologists and nuclear medicine specialists) caring for patients with suspected CHD were invited to develop regional treatment pathways. Four academic departments provided support for moderation, provision of materials, etc. The study team observed session discussions and took notes. After the development of the treatment pathways, 45 semi-structured interviews were conducted with the participating physicians. Interviews and field notes were transcribed verbatim and underwent qualitative content analysis.

RESULTS

Pathway development received little support among the participants. Although consensus documents were produced, the results were unlikely to improve practice. The participants expressed very little commitment to change. Although this attempt clearly failed in all study regions, our experience provides relevant insights into the process of evidence appraisal and implementation. A lack of organisational skills, ignorance of current evidence and guidelines, and a lack of feedback regarding one's own clinical behaviour proved to be insurmountable. CA was still seen as the diagnostic gold standard by most interviewees.

CONCLUSIONS

Oversupply and overutilisation can be assumed to be present in study regions but are not immediately perceived by clinicians. The problem is unlikely to be solved by regional collaborative initiatives; optimised resource planning within the health care system combined with appropriate economic incentives might best address these issues.

Invasive Treatment of Left Main Coronary Artery Disease: From Anatomical Features to Mechanistic Differences

There is debate on the best treatment for significant stenoses of the left main (LM) coronary artery. The available evidence is based on four randomized trials, which were either performed specifically to assess patients with LM disease (EXCEL, NOBLE, PRECOMBAT) or had a significant fraction of patients with this disease pattern (SYNTAX). A meta-analysis revealed no difference in periprocedural and 5-year mortality but demonstrated a significant reduction of spontaneous myocardial infarction (MI) with CABG. Furthermore, the recently published SWEDEHEART registry data have shown survival advantage and fewer MACCE with CABG for LM disease after adjustment. In general, patients with more severe coronary artery disease (CAD) appear to have a survival advantage with CABG both over PCI and medical therapy (independent of the presence or absence of LM stenosis), which is always associated with a reduction of spontaneous MI in the CABG arm. Since the nomenclature of LM disease does not automatically reflect the complexity of CAD, we review the nature of LM disease in this article. We mechanistically assess the treatment effects of PCI and CABG for patients with LM disease, which is rarely isolated, often distal, and mostly associated with varying degrees of single and multi-vessel disease. We conclude that in patients with isolated LM shaft lesions and associated diseases of low complexity, the risk of spontaneous MI is lower, and PCI may achieve similar long-term outcomes compared to CABG. Thus, heart teams are essential for selecting the best treatment option and should focus on assessing infarction risk in chronic CAD.