MicroRNAs in Atrial Fibrillation: Mechanisms, Vascular Implications, and Therapeutic Potential.

Atrial fibrillation (AFib), the most prevalent arrhythmia in clinical practice, presents a growing global health concern, particularly with the aging population, as it is associated with devastating complications and an impaired quality of life. Its pathophysiology is multifactorial, including the pathways of fibrosis, inflammation, and oxidative stress. MicroRNAs (miRNAs), small non-coding RNA molecules, have emerged as substantial contributors in AFib pathophysiology, by affecting those pathways. In this review, we explore the intricate relationship between miRNAs and the aforementioned aspects of AFib, shedding light on the molecular pathways as well as the potential diagnostic applications. Recent evidence also suggests a possible role of miRNA therapeutics in maintenance of sinus rhythm via the antagonism of miR-1 and miR-328, or the pharmacological upregulation of miR-27b and miR-223-3p. Unraveling the crosstalk between specific miRNA profiles and genetic predispositions may pave the way for personalized therapeutic approaches, setting the tone for precision medicine in atrial fibrillation.

CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research.

Big data is central to new developments in global clinical science aiming to improve the lives of patients. Technological advances have led to the routine use of structured electronic healthcare records with the potential to address key gaps in clinical evidence. The covid-19 pandemic has demonstrated the potential of big data and related analytics, but also important pitfalls. Verification, validation, and data privacy, as well as the social mandate to undertake research are key challenges. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including patient representatives, clinicians, scientists, regulators, journal editors and industry. We propose the CODE-EHR Minimum Standards Framework as a means to improve the design of studies, enhance transparency and develop a roadmap towards more robust and effective utilisation of healthcare data for research purposes.

CODE-EHR best-practice framework for the use of structured electronic health-care records in clinical research.

Big data is important to new developments in global clinical science that aim to improve the lives of patients. Technological advances have led to the regular use of structured electronic health-care records with the potential to address key deficits in clinical evidence that could improve patient care. The COVID-19 pandemic has shown this potential in big data and related analytics but has also revealed important limitations. Data verification, data validation, data privacy, and a mandate from the public to conduct research are important challenges to effective use of routine health-care data. The European Society of Cardiology and the BigData@Heart consortium have brought together a range of international stakeholders, including representation from patients, clinicians, scientists, regulators, journal editors, and industry members. In this Review, we propose the CODE-EHR minimum standards framework to be used by researchers and clinicians to improve the design of studies and enhance transparency of study methods. The CODE-EHR framework aims to develop robust and effective utilisation of health-care data for research purposes.

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.

The medical field has seen a rapid increase in the development of artificial intelligence (AI)-based prediction models. With the introduction of such AI-based prediction model tools and software in cardiovascular patient care, the cardiovascular researcher and healthcare professional are challenged to understand the opportunities as well as the limitations of the AI-based predictions. In this article, we present 12 critical questions for cardiovascular health professionals to ask when confronted with an AI-based prediction model. We aim to support medical professionals to distinguish the AI-based prediction models that can add value to patient care from the AI that does not.

Remote Cardiac Rhythm Monitoring in the Era of Smart Wearables: Present Assets and Future Perspectives.

Remote monitoring and control of heart function are of primary importance for patient evaluation and management, especially in the modern era of precision medicine and personalized approach. Breaking technological developments have brought to the frontline a variety of smart wearable devices, such as smartwatches, chest patches/straps, or sensors integrated into clothing and footwear, which allow continuous and real-time recording of heart rate, facilitating the detection of cardiac arrhythmias. However, there is great diversity and significant differences in the type and quality of the information they provide, thus impairing their integration into daily clinical practice and the relevant familiarization of practicing physicians. This review will summarize the different types and dominant functions of cardiac smart wearables available in the market. Furthermore, we report the devices certified by official American and/or European authorities and the respective sources of evidence. Finally, we comment pertinent limitations and caveats as well as the potential answers that flow from the latest technological achievements and future perspectives.

The year in cardiovascular medicine 2021: digital health and innovation.

This article presents some of the most important developments in the field of digital medicine that have appeared over the last 12 months and are related to cardiovascular medicine. The article consists of three main sections, as follows: (i) artificial intelligence-enabled cardiovascular diagnostic tools, techniques, and methodologies, (ii) big data and prognostic models for cardiovascular risk protection, and (iii) wearable devices in cardiovascular risk assessment, cardiovascular disease prevention, diagnosis, and management. To conclude the article, the authors present a brief further prospective on this new domain, highlighting existing gaps that are specifically related to artificial intelligence technologies, such as explainability, cost-effectiveness, and, of course, the importance of proper regulatory oversight for each clinical implementation.

Study design, result posting, and publication of late-stage cardiovascular trials.

AIMS: Pre-registration of study protocols in accessible databases is required for publication of study results in high-impact medical journals. Nonetheless, data on characteristics of clinical trials registered in these databases and their outcome, in terms of result reporting and publication are limited. METHODS AND RESULTS: We searched for interventional, late-phase cardiovascular disease (CVD) studies in adults registered in Clinicaltrials.gov. first posted after 1 January 2013 and completed up to 31 December 2018. Data on study design, result reporting, and publication were collected, and potential associations with a pre-defined set of explanatory factors were examined. In total, 250 CVD trials were included in the analysis. Of these, 193 (77.2%) were randomized studies, 99 (39.6%) open label designs, and 126 (50.4%) had industry as main sponsor. One hundred and seventy-nine trials (71.6%) evaluated the effect of drugs and 27 (10.8%) evaluated devices. The most common primary outcomes were non-clinical endpoints (76.0%), with only 17% of studies evaluating clinical endpoints. Industry-funded trials focused on patent-protected drugs and devices more often than non-industry-funded trials (72.0% vs. 30.6%, P < 0.001 and 55.0% vs. 26.3%, P = 0.033, respectively). Sixty-three studies (25.2%) had results posted on clinicaltrials.gov, and 116 (46.4%) had results published in the scientific literature. In multivariate analysis, industry sponsorship was statistically significantly associated with results posting [odds ratio (OR): 3.38; 95% confidence interval (CI): 1.56-7.30, P = 0.002] and publication (OR: 0.41; 95% CI: 0.23-0.75, P = 0.004). CONCLUSION: Among late-stage cardiovascular trials only one-fourth had results posted on clinicaltrials.gov and <50% had results published. Industry sponsors were more likely to invest in research on patent-protected drugs and devices than were non-industry sponsors. Industry-sponsored studies were more likely to have their results posted, but less likely to have their results published in the scientific literature.

Detection of abnormal left ventricular geometry in patients without cardiovascular disease through machine learning: An ECG-based approach.

Cardiac remodeling is recognized as an important aspect of cardiovascular disease (CVD) progression. Machine learning (ML) techniques were applied to basic clinical parameters and electrocardiographic features, in order to detect abnormal left ventricular geometry (LVG) even before the onset of left ventricular hypertrophy (LVH), in a population without established CVD. The authors enrolled 528 patients with and without essential hypertension, but no other indications of CVD. All patients underwent a full echocardiographic evaluation and were classified into 3 groups; normal geometry (NG), concentric remodeling without LVH (CR), and LVH. Abnormal LVG was identified as increased relative wall thickness (RWT) and/or left ventricular mass index (LVMi). The authors trained supervised ML models to classify patients with abnormal LVG and calculated SHAP values to perform feature importance and interaction analysis. Hypertension, age, body mass index over the Sokolow-Lyon voltage, QRS-T angle, and QTc duration were some of the most important features. Our model was able to distinguish NG from CR+LVH combined, with 87% accuracy on an unseen test set, 75% specificity, 97% sensitivity, and area under the receiver operating curve (AUC/ROC) equal to 0.91. The authors also trained our model to classify NG and CR (NG + CR) against those with LVH, with 89% test set accuracy, 93% specificity, 67% sensitivity, and an AUC/ROC value of 0.89, for a 0.4 decision threshold. Our ML algorithm effectively detects abnormal LVG even at early stages. Innovative solutions are needed to improve risk stratification of patients without established CVD, and ML may enable progress in this direction.

Clinical characteristics and management of patients with diabetes mellitus and stable coronary artery disease in daily clinical practice. The SCAD-DM Registry.

BACKGROUND: Patients with diabetes mellitus (DM) and coronary artery disease (CAD) represent a high-risk population, where comorbidities are common and the progression of coronary heart disease is relatively rapid and extensive. The present survey, conducted nationwide in a Eurozone country, Greece, with a properly organized national health system, aimed to record specific data from a significant number of patients with diabetes and documented stable CAD (SCAD). METHODS AND RESULTS: We conducted our survey across the country, in private and public primary, secondary, and tertiary care centers. A total of 1900 patients aged 71 ± 10 years old who suffered from both DM and chronic coronary syndromes were registered. Of the patients registered, 574 (30.24%) were women. It was found that 506 (26.6%) of the 1900 surveyed patients showed typical angina symptoms, while another 560 (29.5%) patients had developed angina-equivalent symptoms according to their history. Additionally, 324 (17%) patients had atypical symptoms that could not easily be attributed to existing CAD and the remaining 510 (26.8%) of the 1900 patients did not exhibit any angina symptoms during their daily activities. Functional testing for myocardial ischemia was not performed in 833 patients (43.8%). Myocardial scintigraphy was the most commonly used noninvasive technique (644 patients, 34%), while 492 patients (25.9%) had an exercise test and 159 (8.4%) underwent stress echocardiography. CONCLUSION: Real-world data in this specific high-risk population of diabetic patients with SCAD offer the opportunity to identify and improve diagnostic and therapeutic practice in the healthcare system of a European Union country.

Impact of Sustained Cardiac Tachyarrhythmias Recorded in Coronary Intensive Care Unit on Short- and Long-Term Mortality and Duration of Hospitalization.

BACKGROUND: Studies conducted in coronary intensive care units (CICUs) have demonstrated that tachyarrhythmias are associated with increased mortality after acute coronary syndromes (ACSs). However, the data for tachyarrhythmias occurred in CICUs due to a variety of cardiovascular disorders are limited. METHODS: We conducted a single-center prospective observational study, which included consecutive CICU patients (January 1, 2014 to May 31, 2018). We recorded the ventricular arrhythmias (VAs), supraventricular tachycardias (SVTs), and days of CICU hospitalization. The patients were followed up for 6 months after CICU discharge. RESULTS: A total of 943 patients (age: 66.37 ±15.4 years; 673 males [71.4%]) were included. Patients with tachyarrhythmias had higher in-CICU mortality (8.0% vs 4.1%, P = .029, odds ratio [OR]: 2.04, 95% confidence interval [CI]: 1.08-3.86) and higher 6-month all-cause mortality (12.8% vs 6.1%, P = .002, OR: 2.27, 95% CI: 1.35-3.83) than those who did not develop tachyarrhythmias. Ventricular arrhythmias was significantly associated with higher all-cause mortality than no tachyarrhythmia (15.4% vs 6.1%; P = .001) or SVTs (15.4% vs 7.0%; P = .001). The mean duration of hospitalization for the patients with tachyarrhythmias was 3.89 ± 4.90 days, while for the patients without was 2.79 ± 3.31 days (P < .001). Patients without ACS had higher short- and long-term mortality compared to patients with ACS (9.2% vs 2.9%, P < .001 and 12.9% vs 4.9%, P < .001). CONCLUSIONS: Tachyarrhythmias were associated with prolonged CICU hospitalization, while non-ACS cardiovascular disorders and the occurrence of VAs were associated with increased short- and long-term mortality.

Short-term effects of angiotensin receptor-neprilysin inhibitors on diastolic strain and tissue doppler parameters in heart failure patients with reduced ejection fraction: A pilot trial.

OBJECTIVE: Although sacubitril/valsartan has recently shown its long-term benefits on morbidity and mortality in symptomatic patients with chronic heart failure with reduced ejection fraction (HFrEF), its short-term effects on diastolic function remain uncertain. We sought to assess 30-day effects of sacubitril/valsartan on left ventricular (LV) diastolic paremeters determined by speckle tracking and tissue Doppler imaging (STI and TDI respectively) as well as their association with functional capacity change evaluated by peak oxygen uptake (VO2max) in stable patients with symptomatic HFrEF. METHODS: A total of 35 patients (aged 61 ± 9 years) eligible for sacubitril/valsartan underwent a complete two-dimension (2D) echocardiographic study and a cardiopulmonary exercise test at baseline and 30 days after the initiation of therapy. RESULTS: Significant improvements in ratio of trans-mitral inflow early diastolic velocity E to mitral annulus early diastolic velocity E' (ΔΕ//Ε' = -35.9%, p = 0.001), peak early diastolic strain rate SRE (ΔSRE = +22.5%, p = 0.024) and ratio E/SRE (ΔE/SRE = -33.2%, p = 0.025) were observed after 1-month therapy. Compared with baseline, VO2max also increased significantly by 16.7 % (p = 0.001). Baseline E/SRE and ΔE/SRE were the strongest independent predictors of VO2max improvement (beta = -0.43, p = 0.004 and beta = 0.45, p = 0.021 respectively) in the multivariate analysis. CONCLUSION: Sacubitril/valsartan was associated with early improvement in LV diastolic function determined by TDI and 2D STI. Baseline E/SRE was stronger than standard echocardiographic parameters in predicting the early benefit of sacubitril/valsartan therapy.

Long-term outcome of hypertensive patients with heart failure with mid-range ejection fraction: The significance of blood pressure control.

Heart failure (HF) with mid-range ejection fraction (HFmrEF) is a newly suggested entity in HF. Since it has been inadequately addressed, there is an urgent need to determine the profile of HFmrEF patients and the optimal approach to their management. The present study aimed to assess the long-term clinical outcomes of hypertensive patients with HFmrEF and the impact of blood pressure (BP) on their mortality and cardiovascular outcome. We performed a retrospective observational study that included 121 hypertensive patients with HFmrEF and 149 hypertensives with heart failure and preserved ejection fraction (HFpEF). The median follow-up was 84 months (22-122). Our analysis did not reveal any statistically significant difference between the two groups in total mortality (P = 0.34) or cardiovascular mortality (P = 0.54). The total mean survival time was 102.9 months (100.5-110.1), while the mean survival time was 105.3 months (80.4-90.2) in HFpEF and 97.6 months (92.7-102.6) in HFmrEF. An office systolic BP > 139 mm Hg and diastolic BP > 89 mm Hg were significantly associated with both all-cause mortality (P = 0.02 and P = 0.013, respectively) and cardiovascular mortality (P = 0.02 for both). In HFpEF patients, no significant association was found between outcome and office BP. HFpEF and HFmrEF have similar long-term outcomes. Suboptimal BP levels are a significant risk factor for an adverse outcome in HFmrEF. Our results emphasize the importance of good BP control in order to achieve better outcomes in hypertensives with impaired EF and HF symptomatology.

Salt-induced effects on microvascular function: A critical factor in hypertension mediated organ damage.

Salt has been linked very closely to the occurrence and complications of arterial hypertension. A large percentage of patients with essential hypertension are salt-sensitive; that is, their blood pressure increases with increased salt intake and decreases with its reduction. For this reason, emphasis is placed on reducing salt intake to better regulate blood pressure. In day-to-day clinical practice this is viewed as mandatory for hypertensive patients who are judged to be salt-sensitive. Previous studies have highlighted the negative effect of high-salt diets on macrovascular function, which also affects blood pressure levels by increasing peripheral resistances. More recent studies provide a better overview of the pathophysiology of microvascular disorders and show that they are largely due to the overconsumption of salt. Microvascular lesions, which have a major impact on the functioning of vital organs, are often not well recognized in clinical practice and are not paid sufficient attention. In general, the damage caused by hypertension to the microvascular network is likely to be overlooked, while reversion of the damage is only rarely considered as a therapeutic target by the treating physician. The purpose of this review is to summarize the impact and the harmful consequences of increased salt consumption in the microvascular network, their significance and pathophysiology, and at the same time to place some emphasis on their treatment and reversion, mainly through diet.

Roadmap for cardiovascular education across the European Society of Cardiology: inspiring better knowledge and skills, now and for the future.

AIMS: The provision of high-quality education allows the European Society of Cardiology (ESC) to achieve its mission of better cardiovascular practice and provides an essential component of translating new evidence to improve outcomes. METHODS AND RESULTS: The 4th ESC Education Conference, held in Sophia Antipolis (December 2016), brought together ESC education leaders, National Directors of Training of 43 ESC countries, and representatives of the ESC Young Community. Integrating national descriptions of education and cardiology training, we discussed innovative pathways to further improve knowledge and skills across different training programmes and health care systems. We developed an ESC roadmap supporting better cardiology training and continued medical education (CME), noting: (i) The ESC provides an excellent framework for unbiased and up-to-date cardiovascular education in close cooperation with its National Societies. (ii) The ESC should support the harmonization of cardiology training, curriculum development, and professional dialogue and mentorship. (iii) ESC congresses are an essential forum to learn and discuss the latest developments in cardiovascular medicine. (iv) The ESC should create a unified, interactive educational platform for cardiology training and continued cardiovascular education combining Webinars, eLearning Courses, Clinical Cases, and other educational programmes, along with ESC Congress content, Practice Guidelines and the next ESC Textbook of Cardiovascular Medicine. (v) ESC-delivered online education should be integrated into National and regional cardiology training and CME programmes. CONCLUSION: These recommendations support the ESC to deliver excellent and comprehensive cardiovascular education for the next generation of specialists. Teamwork between international, national and local partners is essential to achieve this objective.

Troponin-I levels as a potential prognostic biomarker of sacubitril/valsartan treatment response in heart failure with reduced ejection fraction: Who will benefit most?

BACKGROUND: Despite robust data on the benefits of sacubitril/valsartan (LCZ696) in patients with chronic heart failure with reduced ejection fraction (HFrEF), there is no evidence yet on prespecified predictive markers of its efficacy. Hypothesis The objective of this study was to identify potential prognostic factors of LCZ696 treatment response. METHODS: We included 48 symptomatic patients with chronic HFrEF (left ventricular ejection fraction ≤35%) and New York Heart Association (NYHA) class II/III: Group A (N = 23) received LCZ696 (105 ± 30 mg twice daily), whereas it was not prescribed in group B (N = 25) according to physician's judgment. Analysis of biochemical parameters, cardiopulmonary exercise testing, and echocardiographic evaluation was performed at baseline and 6 months later. RESULTS: The baseline serum troponin-I levels (TnI) and peak oxygen uptake (VO2 max) were positively associated with the increase in VO2 max (ΔVO2 max = +14.11%, P < 0.05 vs group B) after sacubitril/valsartan treatment (r = 0.68, P = 0.001 and r = 0.57, P = 0.004, respectively). Positive correlations were reported between ΔVO2 max and the improvements in the ratio of early diastolic filling to myocardial tissue velocity (ΔE/E') and the tricuspid annular peak systolic velocity (ΔSa) in group A (r = 0.58, P = 0.004 and r = 0.60, P = 0.002, respectively). In multiple regression analysis, ΔVO2 max was correlated significantly with TnI (beta = 0.35, P = 0.048), ΔE/E' (beta = 0.36, P = 0.031) and ΔSa (beta = 0.37, P = 0.035). CONCLUSIONS: TnI levels may be an independent predictive marker of sacubitril/valsartan efficacy in HFrEF.

The long non-coding RNAs MHRT, FENDRR and CARMEN, their expression levels in peripheral blood mononuclear cells in patients with essential hypertension and their relation to heart hypertrophy.

Long non-coding RNAs (lncRNAs) participate in the modulation of cardiac hypertrophy, and they represent potential therapeutic targets in cardiovascular disease. We investigated the expression profiles of selected lncRNAs in peripheral blood mononuclear cells of patients with essential hypertension in relation to left ventricular hypertrophy. We assessed the expression levels of the lncRNAs MHRT, FENDRR and CARMEN using real-time reverse transcription polymerase chain reaction. Hypertensive patients showed significantly higher MHRT, FENDRR and CARMEN expression levels compared with healthy controls. In addition, we observed significant negative correlations of MHRT (r = -0.323, P = 0.003) and FENDRR (r = -0.380, P = 0.001) and a positive correlation of CARMEN (r = 0.458, P < 0.001) expression levels with left ventricular mass index. Our data reveal that the lncRNAs MHRT, FENDRR and CARMEN show distinct expression profiles in hypertensive patients and they possibly represent candidate therapeutic targets in hypertensive heart disease.