Coronary Artery Plaque Research Articles

Impact of Intensive Low-Density Lipoprotein Cholesterol-Lowering Therapy on Coronary Artery Plaques in Acute Coronary Syndrome

Acute coronary syndrome (ACS) is associated with a high incidence of unstable plaques beyond the culprit lesion, leading to early recurrence of cardiovascular events. Coronary computed tomography angiography (CCTA) can be used to noninvasively observe plaques throughout the coronary arteries. To evaluate the impact of intensive low-density lipoprotein cholesterol (LDL-C)-lowering therapy on quantitative changes in coronary plaque, assessed using CCTA in a study population with ACS. In total, 81 consecutive patients with ACS who underwent CCTA at discharge and at 1-year follow-up from April 2018 to March 2020 were analyzed. The patients were divided into 2 groups: those who achieved LDL-C <70 mg/100 ml and those who did not. Changes in plaque morphology within and between the 2 groups were compared using CCTA. A total of 198 vessels were analyzed. The calcified plaque volume was significantly increased in the LDL-C <70 group (65.8 ± 80.1 mm3 to 73.6 ± 83.7 mm3, p=0.007), whereas no significant change was observed in the LDL-C ≥70 group (106.9 ± 161.7 mm3 to 105.7 ± 137.5 mm3, p=0.552). Percent change in low-attenuation plaque volume in the LDL <70 group was significantly lower than in the LDL-C ≥70 group (17.2 ± 90.9% vs 84.4 ± 162.6%, p=0.020). Receiver operating characteristic curve analysis demonstrated that the target LDL-C level for low-attenuation plaque volume regression was 64 mg/100 ml. In conclusion, noninvasive CCTA demonstrated that intensive LDL-C lowering in high-risk patients with ACS could potentially lead to plaque stabilization.

Impact of virtual monoenergetic levels on coronary plaque volume components using photon-counting computed tomography

ObjectivesVirtual monoenergetic images (VMIs) from photon-counting CT (PCCT) may change quantitative coronary plaque volumes. We aimed to assess how plaque component volumes change with respect to VMIs.MethodsCoronary CT angiography (CTA) images were acquired using a dual-source PCCT and VMIs were reconstructed between 40 and 180 keV in 10-keV increments. Polychromatic images at 120 kVp (T3D) were used as reference. Quantitative plaque analysis was performed on T3D images and segmentation masks were copied to VMI reconstructions. Calcified plaque (CP; > 350 Hounsfield units, HU), non-calcified plaque (NCP; 30 to 350 HU), and low-attenuation NCP (LAP; − 100 to 30 HU) volumes were calculated using fixed thresholds.ResultsWe analyzed 51 plaques from 51 patients (67% male, mean age 65 ± 12 years). Average attenuation and contrast-to-noise ratio (CNR) decreased significantly with increasing keV levels, with similar values observed between T3D and 70 keV images (299 ± 209 vs. 303 ± 225 HU, p = 0.15 for mean HU; 15.5 ± 3.7 vs. 15.8 ± 3.5, p = 0.32 for CNR). Mean NCP volume was comparable between T3D and 100–180-keV reconstructions. There was a monotonic decrease in mean CP volume, with a significant difference between all VMIs and T3D (p < 0.05). LAP volume increased with increasing keV levels and all VMIs showed a significant difference compared to T3D, except for 50 keV (28.0 ± 30.8 mm3 and 28.6 ± 30.1 mm3, respectively, p = 0.63).ConclusionsEstimated coronary plaque volumes significantly differ between VMIs. Normalization protocols are needed to have comparable results between future studies, especially for LAP volume which is currently defined using a fixed HU threshold.Clinical relevance statementDifferent virtual monoenergetic images from photon-counting CT alter attenuation values and therefore corresponding plaque component volumes. New clinical standards and protocols are required to determine the optimal thresholds to derive plaque volumes from photon-counting CT.Key Points• Utilizing different VMI energy levels from photon-counting CT for the analysis of coronary artery plaques leads to substantial changes in attenuation values and corresponding plaque component volumes.• Low-energy images (40–70 keV) improved contrast-to-noise ratio, however also increased image noise.• Normalization protocols are needed to have comparable results between future studies, especially for low-attenuation plaque volume which is currently defined using a fixed HU threshold.

Roadmap on the use of artificial intelligence for imaging of vulnerable atherosclerotic plaque in coronary arteries.

Artificial intelligence (AI) is likely to revolutionize the way medical images are analysed and has the potential to improve the identification andanalysis of vulnerable or high-risk atherosclerotic plaques in coronary arteries, leading to advances in the treatment of coronary artery disease. However, coronary plaque analysis is challenging owing to cardiac and respiratory motion, as well as the small size of cardiovascular structures. Moreover, the analysis of coronary imaging data is time-consuming, can be performed only by clinicians with dedicated cardiovascular imaging training, and is subject to considerable interreader and intrareader variability. AI has the potential to improve the assessment of images of vulnerable plaque in coronary arteries, but requires robust development, testing and validation. Combining human expertise with AI might facilitate the reliable and valid interpretation of images obtained using CT, MRI, PET, intravascular ultrasonography and optical coherence tomography. In this Roadmap, we review existing evidence on the application of AI to the imaging of vulnerable plaque in coronary arteries and provide consensus recommendations developed by an interdisciplinary group of experts on AI and non-invasive and invasive coronary imaging. We also outline future requirements of AI technology to address bias, uncertainty, explainability and generalizability, which are all essential for the acceptance of AI and its clinical utility in handling the anticipated growing volume of coronary imaging procedures.

The Association of Lipoprotein(a) and Neutrophil-to-Lymphocyte Ratio Combination with Atherosclerotic Cardiovascular Disease in Chinese Patients.

The association of lipoprotein(a) [Lp(a)] with atherosclerotic cardiovascular disease (ASCVD) risk can be modified by chronic systemic inflammation. The neutrophil-to-lymphocyte ratio (NLR) is a reliable and easily available marker of immune response to various infectious and non-infectious stimuli. The purpose of this study was to assess the combined effects of Lp(a) and NLR in predicting the ASCVD risk and coronary artery plaque traits. This study included 1618 patients who had coronary computed tomography angiography (CTA) with risk assessment of ASCVD. CTA was used to evaluate the traits of coronary atherosclerotic plaques, and the association of ASCVD with Lp(a) and NLR was assessed by multivariate logistic regression models. Plasma Lp(a) and NLR were significantly increased in patients having plaques. High Lp(a) was defined as the plasma Lp(a) level > 75 nmol/L and high NLR as NLR > 1.686. The patients were grouped into four categories according to normal or high NLR and plasma Lp(a) as nLp(a)/NLR-, hLp(a)/NLR-, nLp(a)/NLR+ and hLp(a)/NLR+. The patients in the latter three groups had higher risk of ASCVD compared to the reference group nLp(a)/NLR-, with the highest ASCVD risk in the hLp(a)/NLR+ group (OR = 2.39, 95% CI = 1.49-3.83, P = 0.000). The occurrence of unstable plaques was 29.94% in the hLp(a)/NLR+ group, which was significantly higher than groups nLp(a)/NLR+, hLp(a)/NLR- and nLp(a)/NLR- with 20.83%, 26.54% and 22.58%, respectively, and there was a significantly increased risk of unstable plaque in the hLp(a)/NLR+ group compared to the nLp(a)/NLR- group (OR = 1.67, 95% CI = 1.04-2.68, P = 0.035). The risk of stable plaque was not significantly increased in the hLp(a)/NLR+ group compared to the nLp(a)/NLR- group (OR = 1.73, 95% CI = 0.96-3.10, P = 0.066). The concomitant presence of elevated Lp(a) and higher NLR is associated with increased unstable coronary artery plaques in patients with ASCVD.

Feasibility study of MEMS-based stenosis detection using a prototypical catheter design with intravascular scanning probes (IVSPs).

X-ray coronary angiography (XRA) is a standard clinical method for diagnosing coronary artery disease (CAD). However, despite continuous improvements in XRA technology, it has limitations that include being visible only in color contrast, and the information it provides on coronary artery plaques is not comprehensive due to its low signal-to-noise ratio and limited resolution. In this study, we propose a novel diagnostic tool, a MEMS-based smart catheter with an intravascular scanning probe (IVSP), to complement XRA and verify its effectiveness and feasibility. The IVSP catheter uses Pt strain gauges embedded on the probe to examine the characteristics of a blood vessel, such as the degree of stenosis and morphological structures of the vessel walls, through physical contact. The feasibility test results showed that the output signals of the IVSP catheter reflected the morphological structure of the phantom glass vessel that mimicked stenosis. In particular, the IVSP catheter successfully assessed the morphology of the stenosis, which was only 17% of the cross-sectional diameter obstructed. In addition, the strain distribution on the probe surface was studied using finite element analysis (FEA), and a correlation between the experimental and FEA results was derived.

Role of lncRNAs in Remodeling of the Coronary Artery Plaques in Patients with Atherosclerosis.

Cardiovascular diseases (CVDs) are the leading cause of death worldwide according to World Health Organization (WHO) data. Atherosclerosis is considered as a chronic inflammatory disease that develops in response to damage to the vascular intima-media layer in most cases. In recent years, epigenetic events have emerged as important players in the development and progression of CVDs. Since noncoding RNA (ncRNAs) are important regulators in the organization of the pathophysiological processes of the cardiovascular system, they have the potential to be used as therapeutic targets, diagnostic and prognostic biomarkers. In this study long noncoding RNA (lncRNA) and mRNA gene expression were compared between coronary atherosclerotic plaques (CAP) and the internal mammary artery (IMA) which has the same genetic makeup and is exposed to the same environmental stress conditions with CAP in the same individual. lncRNA and mRNA gene expressions were determined using the microarray in the samples. Microarray results were validated by RT-qPCR. Differentially expressed genes (DEGs; lncRNAs and mRNAs) were determined by GeneSpring (Ver 3.0) [p values <0.05 and fold change (FC) >2]. DAVID bioinformatics program was used for Gene Ontology (GO) annotation and enrichment analyses of statistically significant genes between CAP and IMA tissue. In our study, 345 DEGs were found to be statistically significant (p<0.05; FC >2) between CAP and IMA. Of these, 65 were lncRNA and 280 were mRNA. Thirty-three lncRNAs were upregulated, while 32 lncRNAs were downregulated. Some of the important mRNAs are SPP1, CYP4B1, CHRDL1, MYOC, and ALKAL2, while some of the lncRNAs are LOC105377123, LINC01857, DIO3OS, LOC101928134, and KCNA3 between CAP and IMA tissue. We also identified genes that correlated with statistically significant lncRNAs. The results of this study are expected to be an important source of data in the development of new genetically based drugs to prevent atherosclerotic plaque. In addition, the data obtained may contribute to the explanation of the epigenetic mechanisms that play a role in the pathological basis of the process that protects the IMA from atherosclerosis.

Lipidomics Profiling and Risk of Coronary Artery Disease in the BioHEART-CT Discovery Cohort

The current coronary artery disease (CAD) risk scores for predicting future cardiovascular events rely on well-recognized traditional cardiovascular risk factors derived from a population level but often fail individuals, with up to 25% of first-time heart attack patients having no risk factors. Non-invasive imaging technology can directly measure coronary artery plaque burden. With an advanced lipidomic measurement methodology, for the first time, we aim to identify lipidomic biomarkers to enable intervention before cardiovascular events. With 994 participants from BioHEART-CT Discovery Cohort, we collected clinical data and performed high-performance liquid chromatography with mass spectrometry to determine concentrations of 683 plasma lipid species. Statin-naive participants were selected based on subclinical CAD (sCAD) categories as the analytical cohort (n = 580), with sCAD+ (n = 243) compared to sCAD− (n = 337). Through a machine learning approach, we built a lipid risk score (LRS) and compared the performance of the existing Framingham Risk Score (FRS) in predicting sCAD+. We obtained individual classifiability scores and determined Body Mass Index (BMI) as the modifying variable. FRS and LRS models achieved similar areas under the receiver operating characteristic curve (AUC) in predicting the validation cohort. LRS enhanced the prediction of sCAD+ in the healthy-weight group (BMI &lt; 25 kg/m2), where FRS performed poorly and identified individuals at risk that FRS missed. Lipid features have strong potential as biomarkers to predict CAD plaque burden and can identify residual risk not captured by traditional risk factors/scores. LRS compliments FRS in prediction and has the most significant benefit in healthy-weight individuals.

A clinical study of the correlation between metabolic-associated fatty liver disease and coronary plaque pattern

Nonalcoholic fatty liver disease (NAFLD) is the hepatic manifestation of metabolic syndrome (MetS) and has been correlated with coronary atherosclerosis (CAS). Since NAFLD was renamed metabolic-associated fatty liver disease(MAFLD) in 2020, no studies have evaluated the correlation between MAFLD and CAS. The aim of this study was to evaluate the relationship between MAFLD and CAS. A total of 1330 patients underwent continuous coronary computed tomography angiography (CCTA) and abdominal ultrasound as part of a routine physical examination. Ultrasonography was used to assess fatty liver, and CCTA was used to assess coronary artery plaques, degree of stenosis, and diseased blood vessels. Univariate and multivariate logistic regression analyses were performed with plaque type and degree of stenosis as dependent variables and MAFLD and traditional cardiovascular risk factors as independent variables to analyze the correlation between MAFLD and CAS. Among the 1164 patients, 680 (58.4%) were diagnosed with MAFLD through a combination of ultrasound and auxiliary examinations. Compared with the non-MAFLD group, the MAFLD group had more cardiovascular risk factors,and the MAFLD group had more likely to have coronary atherosclerosis, coronary stenosis and multiple coronary artery stenosis.In the univariate logistic regression, MAFLD was significantly correlated with overall plaque, calcified plaques, noncalcified plaques, mixed plaques,and significant stenosis in the coronary arteries.(p < 0.05). After adjusting for cardiovascular risk factors , MAFLD was correlated with noncalcified plaques (1.67; 95% confidence interval (CI) 1.15–2.43; p = 0.007) and mixed plaques (1.54; 95% CI 1.10–2.16; p = 0.011). In this study, MAFLD group had more cardiovascular risk factors, MAFLD was correlated with coronary atherosclerosis,and significant stenosis.Further study found independent associations between MAFLD and noncalcified plaques and mixed plaques, which suggest a clinically relevant link between MAFLD and coronary atherosclerosis.

Improving image quality and resolution of coronary arteries in coronary computed tomography angiography by using high-definition scans and deep learning image reconstruction.

Coronary computed tomography angiography (CTA) has been increasingly used to identify the degree of coronary artery stenosis and plaque lesions in vessels. This study evaluated the feasibility of using high-definition (HD) scanning with high-level deep learning image reconstruction (DLIR-H) to improve the image quality and spatial resolution when imaging calcified plaques and stents in coronary CTA as compared to the standard definition (SD) reconstruction mode with adaptive statistical iterative reconstruction-V (ASIR-V). A total of 34 patients (age 63.3±10.9 years; 55.88% female) with calcified plaques and/or stents who underwent coronary CTA in HD-mode were included in this study. Images were reconstructed with SD-ASIR-V, HD-ASIR-V, and HD-DLIR-H. Subjective image quality with image noise and clarity of vessels, calcifications, and stented lumens was evaluated by 2 radiologists using a 5-point scale. The kappa (κ) test was used to analyze the interobserver agreement. Objective image quality with image noise, signal-to-noise-ratio (SNR), and contrast-to-noise-ratio (CNR) was measured and compared. Image spatial resolution and beam-hardening artifacts (BHAs) were also evaluated using the calcification diameter and CT numbers in 3 points along the stented lumen (inside, at the proximal and distal ends just outside stent). There were 45 calcified plaques and 4 coronary stents. HD-DLIR-H images had the highest overall image quality score (4.50±0.63) with the lowest image noise (22.59±3.59 HU) and the highest SNR (18.30±4.88) and CNR (26.56±6.33), followed by SD-ASIR-V50% image quality score (4.06±2.49), image noise (35.02±8.09 HU), SNR (12.77±1.59), CNR(15.67±1.92) and HD-ASIR-V50% image quality score (3.90±0.64), image noise (57.7±12.03 HU), SNR (8.16±1.86), CNR (10.01±2.39). HD-DLIR-H images also had the smallest calcification diameter measurement (2.36±1.58 mm), followed by HD-ASIR-V50% (3.46±2.07 mm) and SD-ASIR-V50% (4.06±2.49 mm). HD-DLIR-H images had the closest CT value measurements for the 3 points along the stented lumen, indicating much less BHA. Interobserver agreement on the image quality assessment was good to excellent (HD-DLIR-H: κ value =0.783; HD-ASIR-V50%: κ value =0.789; SD-ASIR-V50%: κ value =0.671). Coronary CTA with HD scan mode and DLIR-H significantly improves the spatial resolution for displaying calcifications and in-stent lumens while simultaneously reducing image noise.

Correlation between coronary artery plaque composition ratio and plaque stability evaluated by 124-layer CT.

Correlation between coronary artery plaque composition ratio and plaque stability evaluated by 124-layer CT.

Abstract 109: A Spatial Transcriptomic Approach to Understanding Coronary Atherosclerotic Plaque Stability

Introduction: Classically, vulnerable plaques at risk for acute coronary syndrome (ACS) have been defined by cellular architecture. However, contemporary imaging studies have shed light into new mechanisms of ACS (e.g., plaque erosion), challenging plaque rupture as the sole mechanism of disease. Furthermore, mechanisms within the vascular microenvironment that may modulate these disease phenotypes are poorly understood. Our objective was to examine differential programming of smooth muscle and macrophage cells amongst patients with stable and unstable plaques using spatial transcriptomics. Methods: Autopsy-derived coronary arteries were reviewed by an independent pathologist and segregated into stable (N=8) and unstable (defined by the presence of CD68+ cells and a large lipid core, N=8) plaques for spatial profiling. In combination with immunofluorescent histology, our approach enabled cell-specific, spatially resolved transcriptional profiling of plaques with mapping of cell populations via gene expression patterns. Results: We observed unique spatial and cell-specific transcriptional signatures for stable and unstable plaques including regional differences in the tunica intima and media. These regions differentially expressed pro-inflammatory (e.g., IFN-gamma, MHC Class II, pro-inflammatory cytokines) and pro-thrombotic signaling pathways. Cell-type-specific expression analysis using spatial deconvolution revealed heterogeneous CD68+ cell populations which shared gene signatures with endothelial, smooth muscle, and myeloid cells. Conclusion: Our results highlight cell-specific and regional pro-inflammatory and coagulation transcriptional changes within unstable coronary arterial plaques and supports the idea of cellular dedifferentiation and intra-plaque plasticity as a contributor to plaque instability. These findings may help to identify novel mediators of ACS and potential therapeutic targets.

Liraglutide treatment is associated with progression of coronary artery fibrous plaque: a prospective 1-year follow-up study in asymptomatic patients with type 2 diabetes

ObjectiveThe objective of this study was to assess the association between clinically indicated liraglutide treatment and coronary artery plaque progression during 1-year follow-up in asymptomatic diabetes.MethodsPatients were divided into a group receiving liraglutide (Lira+) and a group not receiving liraglutide (Lira-). Coronary computed tomography angiography (CCTA) was performed to assess total atheroma volume (TAV) and subtypes of plaque volumes (dense calcium, fibrous, fibrous-fatty, and necrotic core plaque) and the plaque progression during one year follow-up.ResultsFifty-five patients (27%) receiving liraglutide and 149 (73%) how did not were included. Changes in TAV during 1-year of follow-up were similar in the two groups (38 ± 180 (Lira+) vs. -1 ± 160 mm3 (Lira-), P = 0.13). A greater increase in fibrous plaque volume was seen in the Lira + vs. the Lira- group (34 ± 129 vs. -2 ± 101 mm3, P = 0.04). Changes over 1-year in the other plaque subtypes were similar in the two groups. Treatment duration of liraglutide was not associated with changes in TAV.ConclusionIn patients with T2D without known prior coronary artery disease, liraglutide treatment was associated with a significant increase in coronary artery fibrous plaque volume during 1-year follow-up.

Elevated FAI Index of Pericoronary Inflammation on Coronary CT Identifies Increased Risk of Coronary Plaque Vulnerability after COVID-19 Infection.

Inflammation is a key factor in the development of atherosclerosis, a disease characterized by the buildup of plaque in the arteries. COVID-19 infection is known to cause systemic inflammation, but its impact on local plaque vulnerability is unclear. Our study aimed to investigate the impact of COVID-19 infection on coronary artery disease (CAD) in patients who underwent computed tomography angiography (CCTA) for chest pain in the early stages after infection, using an AI-powered solution called CaRi-Heart®. The study included 158 patients (mean age was 61.63 ± 10.14 years) with angina and low to intermediate clinical likelihood of CAD, with 75 having a previous COVID-19 infection and 83 without infection. The results showed that patients who had a previous COVID-19 infection had higher levels of pericoronary inflammation than those who did not have a COVID-19 infection, suggesting that COVID-19 may increase the risk of coronary plaque destabilization. This study highlights the potential long-term impact of COVID-19 on cardiovascular health, and the importance of monitoring and managing cardiovascular risk factors in patients recovering from COVID-19 infection. The AI-powered CaRi-Heart® technology may offer a non-invasive way to detect coronary artery inflammation and plaque instability in patients with COVID-19.

A Case of Kounis Syndrome Caused by Anaphylaxis During Surgery

Kounis syndrome is a hypersensitivity coronary disorder associated with several triggers, such as drugs, foods, environmental, coronary stents and other factors. It was originally proposed by the Greek cardiologist Nicholas Kounis in 1991. Kounis syndrome is a life-threatening and challenging emergency disease, which is constantly being recognized and studied. It is a disease that is constantly being recognized and Kounis syndrome can be classified into three types, involving coronary artery spasm, plaque rupture or stent thrombosis respectively. Most patients with coronary artery spasm caused by allergies can recover completely after active treatment, and the prognosis is good. If not, it may cause severe myocardial damage and even myocardial infarction, which threatens the patient's life. In our case, a 56-year-old female patient was scheduled to undergo right pelvic resection. A few minutes after the start of intravenous succinylated gelatin infusion, she was experienced a decrease in heart rate, blood pressure, oxygen saturation and ST elevation on 2-lead. An anaphylactic reaction was suspected after rapid differential diagnosis and gradually recovered with treatment. In this context, a rapid differential diagnosis and a highly suspicious become essential, because the management of Kounis syndrome is different from the traditional acute coronary syndrome. Kounis syndrome requires simultaneous diagnosis and treatment of both allergic reaction and acute coronary syndrome based on their manifestations and risk factors. This case describes the onset, development, and recovery of Kounis syndrome in this patient in detail, and illustrates the classification, pathophysiology, and treatment of Kounis syndrome. It is hoped that through the management of this case, the occurrence of Kounis syndrome can be rapidly identified and treated accordingly so that avoiding disaster for patients.

Coronary artery properties in atherosclerosis: A deep learning predictive model.

In this work an Artificial Neural Network (ANN) was developed to help in the diagnosis of plaque vulnerability by predicting the Young modulus of the core (E core ) and the plaque (E plaque ) of atherosclerotic coronary arteries. A representative in silico database was constructed to train the ANN using Finite Element simulations covering the ranges of mechanical properties present in the bibliography. A statistical analysis to pre-process the data and determine the most influential variables was performed to select the inputs of the ANN. The ANN was based on Multilayer Perceptron architecture and trained using the developed database, resulting in a Mean Squared Error (MSE) in the loss function under 10-7, enabling accurate predictions on the test dataset for E core and E plaque . Finally, the ANN was applied to estimate the mechanical properties of 10,000 realistic plaques, resulting in relative errors lower than 3%.

Sodium Chloride Physiological Saline Solution Versus Water Preparations Injectable in the Use of Shockwave Intravascular Lithotripsy: A Single-Center Experience

Shockwave intravascular lithotripsy (IVL) coronary system is a very useful new technology for de novo severely calcified coronary artery plaques before percutaneous coronary intervention (PCI). The device uses a semi-compliant low-pressure balloon, integrated into a sterile catheter, to deliver by vaporizing fluid an expanding bubble that generates high-pressure ultrasonic energy by waves that create multiplane longitudinal micro-macro fractures in calcified plaques, which facilitate optimal stent placement and expansion, and luminal gain. The use of Shockwave IVL coronary system in our cardiac catheterization laboratory (Cath lab) at the "Clinique Saint-Hilaire" in Rouen, France, started in March 2019, with 42 procedures performed since this date: two patients in 2019, two patients in 2020, seven patients in 2021, 23 patients in 2022, and eight patients since the beginning of 2023. We had experienced problems at the beginning of our activity for the first 11 patients (two patients in 2019, two patients in 2020, and seven patients in 2021): after less than five pulses, the shock therapy stopped. We used initially for Shockwave IVL semi-compliant low-pressure integrated balloons a mixture of 50% contrast and 50% water preparations injectable (PPI). After changing water PPI by sodium chloride physiological saline solution, we never encountered this problem again for the following 31 patients (23 patients in 2022, and eight patients since the beginning of 2023). In fact, the proper functioning of Shockwave IVL system requires ions in balloon mixture in addition to the contrast. It is thanks to the ions contained in sodium chloride physiological saline solution that the spark necessary for shocks delivery after balloon inflation is produced. Water PPI or sodium chloride physiological saline solution is used in angioplasty balloons in a lot of Cath labs worldwide. It is therefore essential to disseminate in the worldwide Cath lab the obligation to put in Shockwave IVL semi-compliant low-pressure integrated balloons sodium chloride physiological saline solution, rather than water PPI for optimal performance, and the importance of Shockwave Medical reporting this to interventional cardiologists.

Relationship between Neutrophil to Lymphocyte Ratio (NLR) and Gensini Score in Patients with Coronary Artery Disease (CAD) at Mataram City General Hospital: A Cross Sectional Study

Highlights: It discusses the relationship between NLR and the severity of coronary atherosclerosis. There is significant difference from the previous NLR research Abstract: Background. Neutrophil to Lymphocyte Ratio (NLR) is a marker of systemic inflammation correlated with the incidence of Coronary Artery Disease (CAD). Neutrophils infiltrate the coronary artery plaque causing acceleration of atherosclerosis. T lymphocyte recruitment is required at the early stages of plaque formation. Previous studies have shown that heightened NLR was correlated with the percentage of stenosis at the site of the multivessel lesion. Aims. This study aimed to determine the relationship between NLR with Gensini score of coronary arteries in CAD patients at Mataram City General Hospital. Material and method. This was a cross sectional study conducted in Mataram City General Hospital. Fifty-nine patients diagnosed with CAD participated in the study. Blood collection and coronary angiography were performed to assess NLR and Gensini Score. The main variables were NLR and Gensini Score. Gensini score of 1-29 was considered as mild atherosclerosis and Gensini score of 30 or more was considered as severe atherosclerosis. NLR was considered high if the value of NLR were &gt; 2.385 based on previous studies. Spearman test was performed to assess correlation between variables. Results. Approximately 53% subjects were categorized as severe atherosclerosis and 48% as mild atherosclerosis. The median values of Gensini score in the low NLR group were 25.0 and in the high NLR group were 40.0 (p=0,19). The median values of NLR in the mild group of atherosclerosis were 1.78 and in the severe atherosclerotic group were 2.15 (p=0,59). There was no significant difference in NLR between severe atherosclerosis and mild atherosclerosis groups. NLR was not associated with Gensini score (p=0,32). Conclusions. There was no significant relationship between Neutrophil to Lymphocyte Ratio with Gensini score of coronary arteries in CAD patients at Mataram City General Hospital.

An All-in-One Tool for 2D Atherosclerotic Disease Assessment and 3D Coronary Artery Reconstruction.

Diagnosis of coronary artery disease is mainly based on invasive imaging modalities such as X-ray angiography, intravascular ultrasound (IVUS) and optical coherence tomography (OCT). Computed tomography coronary angiography (CTCA) is also used as a non-invasive imaging alternative. In this work, we present a novel and unique tool for 3D coronary artery reconstruction and plaque characterization using the abovementioned imaging modalities or their combination. In particular, image processing and deep learning algorithms were employed and validated for the lumen and adventitia borders and plaque characterization at the IVUS and OCT frames. Strut detection is also achieved from the OCT images. Quantitative analysis of the X-ray angiography enables the 3D reconstruction of the lumen geometry and arterial centerline extraction. The fusion of the generated centerline with the results of the OCT or IVUS analysis enables hybrid coronary artery 3D reconstruction, including the plaques and the stent geometry. CTCA image processing using a 3D level set approach allows the reconstruction of the coronary arterial tree, the calcified and non-calcified plaques as well as the detection of the stent location. The modules of the tool were evaluated for efficiency with over 90% agreement of the 3D models with the manual annotations, while a usability assessment using external evaluators demonstrated high usability resulting in a mean System Usability Scale (SUS) score equal to 0.89, classifying the tool as "excellent".

Impact of myocardial bridging on coronary artery plaque formation and long-term mortality after heart transplantation

ObjectivesThis study aimed to explore the impact of myocardial bridging (MB) on early development of cardiac allograft vasculopathy and long-term graft survival after heart transplantation. BackgroundMB has been reported to be associated with acceleration of proximal plaque development and endothelial dysfunction in native coronary atherosclerosis. However, its clinical significance in heart transplantation remains unclear. MethodsIn 103 heart-transplant recipients, serial (baseline and 1-year post-transplant) volumetric intravascular ultrasound (IVUS) analyses were performed in the first 50 mm of the left anterior descending (LAD) artery. Standard IVUS indices were evaluated in 3 equally divided LAD segments (proximal, middle, and distal segments). MB was defined by IVUS as an echolucent muscular band lying on top of the artery. The primary endpoint was death or re-transplantation, assessed for up to 12.2 years (median follow-up: 4.7 years). ResultsIVUS identified MB in 62% of the study population. At baseline, MB patients had smaller intimal volume in the distal LAD than non-MB patients (p = 0.002). During the first year, vessel volume decreased diffusely irrespective of the presence of MB. Intimal growth diffusely distributed in non-MB patients, whereas MB patients demonstrated significantly augmented intimal formation in the proximal LAD. Kaplan-Meier analysis revealed significantly lower event-free survival in patients with versus without MB (log-rank p = 0.02). In multivariate analysis, the presence of MB was independently associated with late adverse events [hazard ratio 5.1 (1.6–22.2)]. ConclusionMB appears to relate to accelerated proximal intimal growth and reduced long-term survival in heart-transplant recipients.

The association of sex-specific hormones with coronary artery plaque characteristics from Miami Heart (MiHeart) study

ObjectiveThe association of sex-specific hormones with coronary computed tomography angiography(CCTA)-based plaque characteristics in women without cardiovascular disease is not well understood. We investigated the association of sex-specific hormones with coronary artery plaque characteristics in a contemporary multiracial cohort with no clinical coronary artery disease (CAD). MethodsIn this cross-sectional analysis, we utilized data from 2,325 individuals with no clinical CAD from the Miami Heart (MiHeart) study. Multivariable logistic regression models were used to investigate the association of sex hormones: sex hormone binding globulin (SHBG), dehydroepiandrosterone (DHEA), free and total testosterone, estradiol, with plaque characteristics among women and men. ResultsOf the 1,155 women, 34.2% had any plaque and 3.4% had any high-risk plaque features (HRP) while among men (n = 1170), 63.1% had any plaque and 10.4% had HRP. Among women, estradiol and SHBG were associated with lower odds of any plaque after adjusting for age and race-ethnicity (estradiol OR per SD increase: 0.87, 95%CI: 0.76–0.98; SHBG OR per SD increase: 0.82, 95%CI: 0.72–0.93) but the significance did not persist after adjustment of cardiovascular risk factors. High free testosterone was associated with higher odds of HRP (aOR:3.48, 95%CI:1.07–11.26) but null associations for the other sex hormones with HRP, in the context of limited sample size. Among men, there were no significant associations between sex-specific hormones and plaque or HRP. ConclusionAmong young to middle-aged women with no clinical CAD, increasing estradiol and SHBG were associated with lower odds of any plaque and higher free testosterone was associated with HRP. Larger cohorts may be needed to validate this.