Artificial intelligence for cardiovascular disease risk assessment in personalised framework: a scoping review.

Background: The field of precision medicine endeavors to transform the healthcare industry by advancing individualised strategies for diagnosis, treatment modalities, and predictive assessments. This is achieved by utilizing extensive multidimensional biological datasets encompassing diverse components, such as an individual's genetic makeup, functional attributes, and environmental influences. Artificial intelligence (AI) systems, namely machine learning (ML) and deep learning (DL), have exhibited remarkable efficacy in predicting the potential occurrence of specific cancers and cardiovascular diseases (CVD). Methods: We conducted a comprehensive scoping review guided by the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework. Our search strategy involved combining key terms related to CVD and AI using the Boolean operator AND. In August 2023, we conducted an extensive search across reputable scholarly databases including Google Scholar, PubMed, IEEE Xplore, ScienceDirect, Web of Science, and arXiv to gather relevant academic literature on personalised medicine for CVD. Subsequently, in January 2024, we extended our search to include internet search engines such as Google and various CVD websites. These searches were further updated in March 2024. Additionally, we reviewed the reference lists of the final selected research articles to identify any additional relevant literature. Findings: A total of 2307 records were identified during the process of conducting the study, consisting of 564 entries from external sites like arXiv and 1743 records found through database searching. After 430 duplicate articles were eliminated, 1877 items that remained were screened for relevancy. In this stage, 1241 articles remained for additional review after 158 irrelevant articles and 478 articles with insufficient data were removed. 355 articles were eliminated for being inaccessible, 726 for being written in a language other than English, and 281 for not having undergone peer review. Consequently, 121 studies were deemed suitable for inclusion in the qualitative synthesis. At the intersection of CVD, AI, and precision medicine, we found important scientific findings in our scoping review. Intricate pattern extraction from large, complicated genetic datasets is a skill that AI algorithms excel at, allowing for accurate disease diagnosis and CVD risk prediction. Furthermore, these investigations have uncovered unique genetic biomarkers linked to CVD, providing insight into the workings of the disease and possible treatment avenues. The construction of more precise predictive models and personalised treatment plans based on the genetic profiles of individual patients has been made possible by the revolutionary advancement of CVD risk assessment through the integration of AI and genomics. Interpretation: The systematic methodology employed ensured the thorough examination of available literature and the inclusion of relevant studies, contributing to the robustness and reliability of the study's findings. Our analysis stresses a crucial point in terms of the adaptability and versatility of AI solutions. AI algorithms designed in non-CVD domains such as in oncology, often include ideas and tactics that might be modified to address cardiovascular problems. Funding: No funding received.

Comparative evaluation of an electrocardiogram workflow model for athletic cardiovascular screening: Primary care network versus sports cardiology interpretation.

BACKGROUND: Electrocardiogram (ECG) testing in pre-participation screening (PPS) remains controversial due to its cost, resource dependency, and the potential for inaccurate interpretations. At most centres, ECGs are conducted internally by providers trained in athletic ECG interpretation. Outsourcing ECG requisitions to an athlete's primary care network (PCN) may reduce institutional demands. This study compared PCN-conducted athletic ECG interpretation to expert sports cardiology interpretation. METHODS: This was a retrospective, single-centre chart-review study of all athletes who underwent cardiovascular PPS between 2017 and 2021. All athletes submitted an ECG with their screening package, which was conducted and interpreted within their PCN. All ECGs were reinterpreted by a sports cardiologist using the International Criteria (IC) for electrocardiographic interpretation in athletes. Overall, positive, and negative percent agreement were used to compare PCN-conducted ECG interpretation with IC interpretation. RESULTS: A total of 740 athletes submitted a screening package with a valid ECG (mean age: 18.5 years, 39.6% female). PCN-conducted ECGs were interpreted by 181 unique physicians. Among 41 (5.5%) PCN-conducted ECGs that were initially interpreted as abnormal, only 5 (0.7%) were classified as abnormal according to the IC. All PCN-conducted ECGs reported as normal were also classified as normal according to the IC. The overall agreement between PCN-conducted and IC ECG interpretation was 95.1% (positive percent agreement: 100%, negative percent agreement: 95.1%). CONCLUSIONS: Normal PCN-conducted athletic ECGs are interpreted with high agreement to the IC. Majority of PCN-conducted ECGs interpreted as abnormal are indeed normal as per the IC. These findings suggest that a PPS workflow model that outsources ECG requisitions to a PCN may be a reliable approach to PPS, all while reducing screening-related institutional costs and resource requirements.

Does cardiovascular preparticipation screening cause psychological distress in athletes? A systematic review.

OBJECTIVE: To evaluate the psychological implications of cardiovascular preparticipation screening (PPS) in athletes. DESIGN: Systematic review. DATA SOURCES: MEDLINE, EMBASE, PubMed, CINAHL, SPORTDiscus, APA PsycInfo, Cochrane Library and grey literature sources. STUDY ELIGIBILITY CRITERIA: Observational and experimental studies assessing a population of athletes who participated in a cardiovascular PPS protocol, where psychological outcomes before, during and/or after PPS were reported. METHODS: Results of included studies were synthesised by consolidating similar study-reported measures for key psychological outcomes before, during and/or after screening. Summary measures (medians, ranges) were computed across studies for each psychological outcome. RESULTS: A total of eight studies were included in this review (median sample size: 479). Study cohorts consisted of high school, collegiate, professional and recreational athletes (medians: 59% male, 20.5 years). Most athletes reported positive reactions to screening and would recommend it to others (range 88%-100%, five studies). Increased psychological distress was mainly reported among athletes detected with pathological cardiac conditions and true-positive screening results. In comparison, athletes with false-positive screening results still reported an increased feeling of safety while participating in sport and were satisfied with PPS. A universal conclusion across all studies was that most athletes did not experience psychological distress before, during or after PPS, regardless of the screening modality used or accuracy of results. CONCLUSION: Psychological distress associated with PPS in athletes is rare and limited to athletes with true-positive findings. To mitigate downstream consequences in athletes who experience psychological distress, appropriate interventions and resources should be accessible prior to the screening procedure. PROSPERO REGISTRATION NUMBER: CRD42021272887.

ACR Appropriateness Criteria® Chronic Chest Pain-High Probability of Coronary Artery Disease: 2021 Update.

Management of patients with chronic chest pain in the setting of high probability of coronary artery disease (CAD) relies heavily on imaging for determining or excluding presence and severity of myocardial ischemia, hibernation, scarring, and/or the presence, site, and severity of obstructive coronary lesions, as well as course of management and long-term prognosis. In patients with no known ischemic heart disease, imaging is valuable in determining and documenting the presence, extent, and severity of obstructive coronary narrowing and presence of myocardial ischemia. In patients with known ischemic heart disease, imaging findings are important in determining the management of patients with chronic myocardial ischemia and can serve as a decision-making tool for medical therapy, angioplasty, stenting, or surgery. This document summarizes the recent growing body of evidence on various imaging tests and makes recommendations for imaging based on the available data and expert opinion. This document is focused on epicardial CAD and does not discuss the microvascular disease as the cause for CAD. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.

Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review.

BACKGROUND: Artificial Intelligence (AI), in particular, machine learning (ML) has shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) risk prediction. Bias in ML systems is of great interest due to its over-performance and poor clinical delivery. The main objective is to understand the nature of risk-of-bias (RoB) in ML and non-ML studies for CVD risk prediction. METHODS: PRISMA model was used to shortlisting 117 studies, which were analyzed to understand the RoB in ML and non-ML using 46 and 32 attributes, respectively. The mean score for each study was computed and then ranked into three ML and non-ML bias categories, namely low-bias (LB), moderate-bias (MB), and high-bias (HB), derived using two cutoffs. Further, bias computation was validated using the analytical slope method. RESULTS: Five types of the gold standard were identified in the ML design for CAD/CVD risk prediction. The low-moderate and moderate-high bias cutoffs for 24 ML studies (5, 10, and 9 studies for each LB, MB, and HB) and 14 non-ML (3, 4, and 7 studies for each LB, MB, and HB) were in the range of 1.5 to 1.95. BiasML< Biasnon-ML by ∼43%. A set of recommendations were proposed for lowering RoB. CONCLUSION: ML showed a lower bias compared to non-ML. For a robust ML-based CAD/CVD prediction design, it is vital to have (i) stronger outcomes like death or CAC score or coronary artery stenosis; (ii) ensuring scientific/clinical validation; (iii) adaptation of multiethnic groups while practicing unseen AI; (iv) amalgamation of conventional, laboratory, image-based and medication-based biomarkers.

Six artificial intelligence paradigms for tissue characterisation and classification of non-COVID-19 pneumonia against COVID-19 pneumonia in computed tomography lungs.

BACKGROUND: COVID-19 pandemic has currently no vaccines. Thus, the only feasible solution for prevention relies on the detection of COVID-19-positive cases through quick and accurate testing. Since artificial intelligence (AI) offers the powerful mechanism to automatically extract the tissue features and characterise the disease, we therefore hypothesise that AI-based strategies can provide quick detection and classification, especially for radiological computed tomography (CT) lung scans. METHODOLOGY: Six models, two traditional machine learning (ML)-based (k-NN and RF), two transfer learning (TL)-based (VGG19 and InceptionV3), and the last two were our custom-designed deep learning (DL) models (CNN and iCNN), were developed for classification between COVID pneumonia (CoP) and non-COVID pneumonia (NCoP). K10 cross-validation (90% training: 10% testing) protocol on an Italian cohort of 100 CoP and 30 NCoP patients was used for performance evaluation and bispectrum analysis for CT lung characterisation. RESULTS: Using K10 protocol, our results showed the accuracy in the order of DL > TL > ML, ranging the six accuracies for k-NN, RF, VGG19, IV3, CNN, iCNN as 74.58 ± 2.44%, 96.84 ± 2.6, 94.84 ± 2.85%, 99.53 ± 0.75%, 99.53 ± 1.05%, and 99.69 ± 0.66%, respectively. The corresponding AUCs were 0.74, 0.94, 0.96, 0.99, 0.99, and 0.99 (p-values < 0.0001), respectively. Our Bispectrum-based characterisation system suggested CoP can be separated against NCoP using AI models. COVID risk severity stratification also showed a high correlation of 0.7270 (p < 0.0001) with clinical scores such as ground-glass opacities (GGO), further validating our AI models. CONCLUSIONS: We prove our hypothesis by demonstrating that all the six AI models successfully classified CoP against NCoP due to the strong presence of contrasting features such as ground-glass opacities (GGO), consolidations, and pleural effusion in CoP patients. Further, our online system takes < 2 s for inference.

Screening of Potential Cardiac Involvement in Competitive Athletes Recovering From COVID-19: An Expert Consensus Statement.

As our understanding of the complications of coronavirus disease-2019 (COVID-19) evolve, subclinical cardiac pathology such as myocarditis, pericarditis, and right ventricular dysfunction in the absence of significant clinical symptoms represents a concern. The potential implications of these findings in athletes are significant given the concern that exercise, during the acute phase of viral myocarditis, may exacerbate myocardial injury and precipitate malignant ventricular arrhythmias. Such concerns have led to the development and publication of expert consensus documents aimed at providing guidance for the evaluation of athletes after contracting COVID-19 in order to permit safe return to play. Cardiac imaging is at the center of these evaluations. This review seeks to evaluate the current evidence regarding COVID-19-associated cardiovascular disease and how multimodality imaging may be useful in the screening and clinical evaluation of athletes with suspected cardiovascular complications of infection. Guidance is provided with diagnostic "red flags" that raise the suspicion of pathology. Specific emphasis is placed on the unique challenges posed in distinguishing athletic cardiac remodeling from subclinical cardiac disease. The strengths and limitations of different imaging modalities are discussed and an approach to return to play decision making for athletes post-COVID-19, as informed by multimodality imaging, is provided.

Low-Cost Office-Based Cardiovascular Risk Stratification Using Machine Learning and Focused Carotid Ultrasound in an Asian-Indian Cohort.

This study developed an office-based cardiovascular risk calculator using a machine learning (ML) algorithm that utilized a focused carotid ultrasound. The design of this study was divided into three steps. The first step involved collecting 18 office-based biomarkers consisting of six clinical risk factors (age, sex, body mass index, systolic blood pressure, diastolic blood pressure, and smoking) and 12 carotid ultrasound image-based phenotypes. The second step consisted of the design of an ML-based cardiovascular risk calculator-called "AtheroEdge Composite Risk Score 2.0" (AECRS2.0ML) for risk stratification, considering chronic kidney disease (CKD) as the surrogate endpoint of cardiovascular disease. The last step consisted of comparing AECRS2.0ML against the currently utilized office-based CVD calculators, namely the Framingham risk score (FRS) and the World Health Organization (WHO) risk scores. A cohort of 379 Asian-Indian patients with type-2 diabetes mellitus, hypertension, and chronic kidney disease (stage 1 to 5) were recruited for this cross-sectional study. From this retrospective cohort, 758 ultrasound scan images were acquired from the far walls of the left and right common carotid arteries [mean age = 55 ± 10.8 years, 67.28% males, 91.82% diabetic, 86.54% hypertensive, and 83.11% with CKD]. The mean office-based cardiovascular risk estimates using FRS and WHO calculators were 26% and 19%, respectively. AECRS2.0ML demonstrated a better risk stratification ability having a higher area-under-the-curve against FRS and WHO by ~30% (0.871 vs. 0.669) and ~ 20% (0.871 vs. 0.727), respectively. The office-based machine-learning cardiovascular risk-stratification tool (AECRS2.0ML) shows superior performance compared to currently available conventional cardiovascular risk calculators.

Shock to the Heart: Psychosocial Implications and Applications of Sudden Cardiac Death in the Young.

PURPOSE OF REVIEW: Although rare, sudden cardiac death (SCD) in the young is a tragic event, having a dramatic impact upon all involved. The psychosocial burden associated with SCD can leave friends, families, and entire communities bereft. With only limited evidence to describe the volatile emotional reactions associated with a young SCD, there is an urgent need for care providers to better understand the psychological complexities and impacts faced by both at-risk individuals and those directly affected by these tragic events. RECENT FINDINGS: Current knowledge of the psychosocial implications associated with SCD in the young has recently generated interest in the cardiovascular community, with the goal of addressing prevention strategies (screening), family bereavement, and the psychological impact of at-risk or surviving individuals. With the emergence of novel strategies aimed at reducing the public health impact of SCD in the young, further discussion regarding the psychosocial impact of SCD, encompassing prevention, survivorship, and the downstream communal effects of a young death is required. Support systems and intervention could assist in the management of the associated psychosocial burden, yet there is a lack of clinical guidelines to direct this form of care. There is an important need for multidisciplinary collaboration across subspecialties to provide support to grieving individuals and manage patient well-being throughout the screening process for SCD. This collaborative approach requires the integration of cardiovascular and psychological expertise where relevant.

3-D optimized classification and characterization artificial intelligence paradigm for cardiovascular/stroke risk stratification using carotid ultrasound-based delineated plaque: Atheromatic™ 2.0.

BACKGROUND AND PURPOSE: Atherosclerotic plaque tissue rupture is one of the leading causes of strokes. Early carotid plaque monitoring can help reduce cardiovascular morbidity and mortality. Manual ultrasound plaque classification and characterization methods are time-consuming and can be imprecise due to significant variations in tissue characteristics. We report a novel artificial intelligence (AI)-based plaque tissue classification and characterization system. METHODS: We hypothesize that symptomatic plaque is hypoechoic due to its large lipid core and minimal collagen, as well as its heterogeneous makeup. Meanwhile, asymptomatic plaque is hyperechoic due to its small lipid core, abundant collagen, and the fact that it is often calcified. We designed a computer-aided diagnosis (CADx) system consisting of three kinds of deep learning (DL) classification paradigms: Deep Convolutional Neural Network (DCNN), Visual Geometric Group-16 (VGG16), and transfer learning, (tCNN). DCNN was 3-D optimized by varying the number of CNN layers and data augmentation frameworks. The DL systems were benchmarked against four types of machine learning (ML) classification systems, and the CADx system was characterized using two novel strategies consisting of DL mean feature strength (MFS) and a bispectrum model using higher-order spectra. RESULTS: After balancing symptomatic and asymptomatic plaque classes, a five-fold augmentation process was applied, yielding 1000 carotid scans in each class. Then, using a K10 protocol (trained to test the ratio of 90%-10%), tCNN and DCNN yielded accuracy (area under the curve (AUC)) pairs of 83.33%, 0.833 (p < 0.0001) and 95.66%, 0.956 (p < 0.0001), respectively. DCNN was superior to ML by 7.01%. As part of the characterization process, the MFS of the symptomatic plaque was found to be higher compared to the asymptomatic plaque by 17.5% (p < 0.0001). A similar pattern was seen in the bispectrum, which was higher for symptomatic plaque by 5.4% (p < 0.0001). It took <2 s to perform the online CADx process on a supercomputer. CONCLUSIONS: The performance order of the three AI systems was DCNN > tCNN > ML. Bispectrum-based on higher-order spectra proved a powerful paradigm for plaque tissue characterization. Overall, the AI-based systems offer a powerful solution for plaque tissue classification and characterization.

Patients with aortic stenosis have von Willebrand factor abnormalities and increased proliferation of endothelial colony forming cells.

BACKGROUND: Patients with aortic stenosis (AS) can experience bleeding complications including gastrointestinal bleeding from angiodysplastic lesions due to acquired von Willebrand syndrome. Studies have pointed to a role for von Willebrand factor (VWF) in angiogenesis. OBJECTIVE: The objective of this study was to assess VWF defects in AS patients over time and the impact on angiogenesis using patient-derived endothelial colony-forming cells (ECFCs). PATIENTS/METHODS: Plasma sample collection and ECFC isolations were performed before valve replacement surgery, 3 to 5 days after, and 6 months after surgery. Plasma VWF antigen, activity, propeptide, collagen binding, multimers, factor VIII coagulant activity, and ADAMTS13 activity (a disintegrin-like and metalloprotease with thrombospondin type 1 motifs 13) were determined. ECFCs were assessed for VWF and angiopoietin-2 (Ang-2) storage and secretion, cell proliferation, and tubule formation in Matrigel. RESULTS AND CONCLUSIONS: Aortic stenosis patients exhibited quantitative and qualitative abnormalities of VWF including significantly increased VWF antigen, activity, and propeptide levels following surgery (P < .01). Increased high molecular weight VWF multimers were observed at all time points and in particular 3 to 5 days after surgery (mean = 14% ± 6%) relative to before (mean = 10% ± 4%), suggesting increased proteolysis by ADAMTS13 pre-operatively in a shear-dependent manner. ECFCs from patients with aortic stenosis were more proliferative than controls (P < .05) and had increased retention of Ang-2 (P < .05) suggesting epigenetic modification of the cells. Overall, there are hemostatic changes in AS patients that are present before valve replacement surgery and these persist long after surgery has occurred. These findings have implications for the current clinical management of AS patients.

Canadian Cardiovascular Society Cardiovascular Screening of Competitive Athletes: The Utility of the Screening Electrocardiogram to Predict Sudden Cardiac Death.

Prevention of sudden cardiac arrest/death (SCA/D) among athletes is a universal goal, although the optimal strategy for its achievement is controversial, with the inclusion of the 12-lead electrocardiogram (ECG) at the center of the debate. The ECG exhibits superior sensitivity over history and physical examination to detect conditions associated with SCA/D. However, the identification of disease does not necessarily lead to a significant reduction in SCA/D. The "Canadian Cardiovascular Society/Canadian Heart Rhythm Society Joint Position Statement on the Cardiovascular Screening of Competitive Athletes" recommended against the routine performance of an ECG for the initial cardiovascular screening of competitive athletes. The incidence of SCA/D among athletes (<35 years of age), the risk of SCA/D during sport participation among individuals with abnormalities found on screening ECG, the efficacy of the ECG to identify conditions associated with SCA/D, and the positive predictive value of an abnormal ECG to predict SCA/D are critically examined. This review presents the evidence informing the panel's recommendation.

Translation of the Canadian Cardiovascular Society/Canadian Heart Rhythm Society Cardiovascular Screening and Care of Athletes Program Into Practice.

In the absence of systematic cardiovascular preparticipation screening (PPS) practices in Canada, the Canadian Cardiovascular Society and Canadian Heart Rhythm Society published a joint position statement outlining PPS recommendations for competitive athletes in an effort to standardize screening. The Queen's University Cardiovascular Screening and Care of Athletes Program aimed to translate these recommendations into practice. Screening packages were administered to athletes in 2017 and 2018. Each package required completion of a medical/history questionnaire, a physician's examination, and 12-lead electrocardiogram performed by the athlete's primary care physician. A tiered approach to screening, as recommended by the position statement, was implemented. A multidisciplinary team flagged at-risk athletes and determined the need for follow-up testing and participation eligibility. Over a 2-year period, 517 varsity athletes were screened, with 438 (84.7%) completing all recommended screening components. Analysis of completed packages resulted in 114 (26.0%) athletes flagged for initial review. After subsequent review by an emergency care physician, only 12 (2.7%) athletes required further referral to cardiology for assessment or further testing. All athletes referred for cardiology assessment were cleared for participation, except for one, who was eventually cleared after a shared decision-making process and cardiovascular intervention. The Queen's University Cardiovascular Screening and Care of Athletes Program shows the successful implementation of a cardiovascular PPS program that used shared decision-making and a multidisciplinary approach to screening, allowing for efficiency and effective resource utilization.

Point-of-Care Ultrasound as a Component of Preparticipation Screening of Athletes: A Systematic Review.

This review examined whether the addition of point-of-care ultrasound (POCUS) to electrocardiography (ECG)-inclusive preparticipation screening strategies has the potential to reduce false-positive results and detect diseases associated with sudden cardiac death that may not be identified through current modalities. Five studies, representing 2646 athletes, demonstrated that ECG-inclusive preparticipation screening strategies resulted in positive results in 19.9% of the cohort. With the addition of POCUS, positive results were reduced to 4.9%, and 1 additional condition potentially associated with sudden cardiac death was identified. The magnitude of positive results with POCUS may be reduced if current ECG criteria were applied.

Canadian Cardiovascular Society/Canadian Heart Rhythm Society Joint Position Statement on the Cardiovascular Screening of Competitive Athletes.

Sudden cardiac death (SCD), especially in a young seemingly healthy individual, is a tragic and highly publicized event, which is often followed by a strong emotional reaction from the public and medical community." Although rare, SCD in the young is devastating to families and communities, underpinning our society's desire to avoid any circumstances predisposing to the loss of human life during exertion. The Canadian Cardiovascular Society Position Statement on the cardiovascular screening of athletes provides evidence-based recommendations for Canadian sporting organizations and institutions with a focus on the role of routine electrocardiogram (ECG) screening in preventing SCD. We recommend that the cardiac screening and care of athletes within the Canadian health care model comprise a sequential (tiered) approach to the identification of cardiac risk, emphasizing the limitations of screening, the importance of shared decision-making when cardiac conditions are diagnosed, and the creation of policies and procedures for the management of emergencies in sport settings. Thus, we recommend against the routine (first-line or blanket mass performance of ECG) performance of a 12-lead ECG for the initial cardiovascular screening of competitive athletes. Organization/athlete-centred cardiovascular screening and care of athletes program is recommended. Such screening should occur in the context of a consistent, systematic approach to cardiovascular screening and care that provides: assessment, appropriate investigations, interpretation, management, counselling, and follow-up. The recommendations presented comprise a tiered framework that allows institutions some choice as to program creation.

Feasibility and Reliability of Nonexpert POCUS for Cardiovascular Preparticipation Screening of Varsity Athletes: The SHARP Protocol.

BACKGROUND: Point of care ultrasound (POCUS) is a potential adjunctive cardiovascular preparticipation screening modality for young competitive athletes. A novel cardiac POCUS screening protocol, Screening the Heart of the Athlete Research Program (SHARP), was developed for nonexpert examiners to assess common structural etiologies associated with sudden cardiac arrest/death (SCA/D). METHODS: Assessment of primary outcomes of feasibility, and reliability of obtained measurements, performed by comparison to formal transthoracic echocardiogram was undertaken. Inter-rater reliability was based on Intraclass correlation coefficients (ICC) defined as moderate for 0.40 to 0.59, good for 0.60 to 0.79, and excellent for 0.80 or greater. Electrocardiograms (ECGs) were also obtained. Identification of disease or other abnormalities was a secondary outcome. RESULTS: Fifty varsity athletes at our institution underwent the SHARP protocol, with 19 undergoing formal transthoracic echocardiogram and ECG for comparison. POCUS image quality was good to excellent. Feasibility of assessing for hypertrophic cardiomyopathy, aortic root dilatation, and left-ventricular function was deemed highly possible but limited in 20% for right-ventricular assessment. Reliability was good for measurements of interventricular septal thickness (0.67), end diastolic left-ventricular diameter (0.61), aortic root diameter (0.63), and moderate for left-ventricular posterior wall thickness (0.42). No cardiovascular abnormalities were detected. CONCLUSIONS: A novel, comprehensive SHARP POCUS protocol performed by nonexpert practitioners demonstrated feasibility and reliability to assess varsity level athletes for common structural etiologies associated with SCA/D. Further large athlete screening cohort studies are required to validate the SHARP protocol and the role of cardiac POCUS as a screening modality.

Multimodality imaging-guided local injection of eccentric magnetic microcapsules with electromagnetically controlled drug release.

BACKGROUND: In the past decade, trackable smart drug delivery systems have played important roles in the treatment of many diseases such as cancer because the drug carriers can be visualized through their distinct physical properties. However, it is still difficult to achieve precise drug delivery because such systems usually rely on a single imaging system. AIM: This study aimed to present a novel type of multimodality imaging-guided strategy to visualize the drug carriers of eccentric magnetic microcapsule (EMM) designed for potential treatment of hepatocellular carcinoma (HCC). METHOD AND RESULTS: The EMMs were prepared by using a three-phase microfluidic device. The as-prepared EMMs embedded with Fe3O4 nanoparticles are magnetic, with high density and acoustic impedance, allowing for visualization by magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound (US) imaging during local injection. The release of drug from these EMMs can be further controlled by an external electromagnetic field (EMF). As a proof of concept, we demonstrated the process of multimodality imaging to guide local injection and the controlled release of doxorubicin (DOX) from the EMMs in a phantom. We showed that the release rate of DOX was directly correlated to the strength of the EMF. In addition, we cocultured green fluorescent protein (GFP)-transfected HeLa cancer cells with the DOX-loaded EMMs and documented their apoptosis by DOX following the release triggered by EMF. CONCLUSION: The results suggest that these EMMs serve both as contrast agents that can be visualized by multimodality imaging techniques and as smart drug delivery systems, with great potential for precision medicine.

Circulating Gas6 is associated with reduced human carotid atherosclerotic plaque burden in high risk cardiac patients.

OBJECTIVE: Pre-clinical studies suggest that growth arrest-specific protein 6 (Gas6), a member of the vitamin K dependent family of proteins, is implicated in atherosclerosis. A role for Gas6 in stabilizing atherosclerotic plaque has been suggested. Our aim was to determine the association between Gas6 and measures of carotid artery atherosclerosis in humans undergoing elective coronary angiography. Secondary aims were to determine the association between Gas6 and sex, diabetes, and obesity. METHODS: In 204 outpatients referred for coronary angiography, EDTA plasma was collected and a focused carotid ultrasound performed. Degree of angiographic coronary artery disease was scored. Carotid intima media thickness as well as maximum plaque height, plaque area, and grayscale median were measured by vascular sonography. Gas6 was assessed by enzyme-linked immunosorbent assay. RESULTS: We found that Gas6 concentrations were lower in males and were associated with diabetes, obesity, and lower kidney function. After adjustment for age, sex, kidney function, BMI and traditional cardiac risk factors; diabetes was associated with higher levels of Gas6, whilst there was a significant inverse relationship between Gas6 and total plaque area. Gas6 was inversely associated with maximum plaque height and total plaque area in adjusted multi-variable models. CONCLUSIONS: We observed higher levels of Gas6 in participantswith adverse cardiovascular risk profiles (e.g. diabetes, obesity) yet Gas6 was independently associated with reduced plaque height and total plaque area. These findings suggest that Gas6 may play a role in human atherosclerotic plaque remodeling.