Prevalence of recreational drug use in myocardial infarction patients without standard modifiable risk factors: Insights from a multicenter prospective cohort study.

Background: The prevalence of recreational drug use in myocardial infarction (MI) patients without standard modifiable cardiovascular risk factors (SMuRF) namely hypercholesterolemia, hypertension, diabetes and smoking, remains unknown.

Methods: All patients enrolled in The Addiction in Intensive Cardiac Care Units (ADDICT-ICCU) study, a French multicenter prospective observational study which systematically assessed the use of recreational drug within 2 h of admission, and presenting with MI but without known coronary artery disease were included. We compared patients with and without SMuRF.

Machine learning to detect recent recreational drug use in intensive cardiac care units.

Background: Although recreational drug use is a strong risk factor for acute cardiovascular events, systematic testing is currently not performed in patients admitted to intensive cardiac care units, with a risk of underdetection. To address this issue, machine learning methods could assist in the detection of recreational drug use.

Aims: To investigate the accuracy of a machine learning model using clinical, biological and echocardiographic data for detecting recreational drug use in patients admitted to intensive cardiac care units.

Prognostic impact of late gadolinium enhancement granularity in non-ischemic dilated cardiomyopathy.

Objectives: We aimed to assess the additional prognostic value of the concept of "late gadolinium enhancement (LGE) granularity" in non-ischemic dilated cardiomyopathy (DCM) patients to predict all-cause death.

Methods: Between 2008 and 2021, we conducted a bicentric retrospective study including all consecutive DCM patients referred for Cardiovascular Magnetic Resonance (CMR). The primary outcome was all-cause death.

Mass cytometry: exploring the immune landscape of systemic autoimmune and inflammatory diseases in the past fourteen years.

Auto-immune and inflammatory diseases are heterogenous in their clinical manifestations and prognosis, even among individuals presenting with the same pathology. Understanding the immunological alterations involved in their pathogenesis provides valuable insights in different clinical phenotypes and treatment responses. Immunophenotyping could lead to significant improvements in diagnosis, monitoring, initial treatment decisions and follow-up in autoimmune and inflammatory diseases.

The Role of Multimodality Imaging in Multiple Valvular Heart Diseases. A Clinical Consensus Statement of the European Association of Cardiovascular Imaging (EACVI) of the ESC.

With this document, the European Association of Cardiovascular Imaging (EACVI) provides an Expert Consensus on the role of multi-modality imaging (MMI) in the management of patients with multiple valvular heart disease (MVD). Emphasis is given to the use of MMI to unravel the diagnostic challenges that characterize these patients and to improve risk stratification. Complementing the last European Society of Cardiology and European Association of Cardio-Thoracic Surgery guidelines on valvular heart disease, this Expert Consensus document also outlines how MMI assessment should form an integral part of the multi-disciplinary heart team discussion for patients with MVD to help with complex decision-making regarding the choice and timing of treatment.

Prognostic value of coronary plaque composition in symptomatic patients with obstructive coronary artery disease.

Objectives: To determine whether plaque composition analysis defined by cardiac CT can provide incremental prognostic value above coronary artery disease (CAD) burden markers in symptomatic patients with obstructive CAD.

Materials And Methods: Between 2009 and 2019, a multicentric registry included all consecutive symptomatic patients with obstructive CAD (at least one ≥ 50% stenosis on CCTA) and was followed for major adverse cardiovascular (MACE) defined by cardiovascular death or nonfatal myocardial infarction. Each coronary segment was scored visually for both the degree of stenosis and composition of plaque, which were classified as non-calcified, mixed, or calcified.

Unusual Cause of Ventricular Arrhythmia.

Although relatively rare, cardiac metastases represent a significant clinical challenge because of their impact on cardiac function and overall patient prognosis. This case presents a rare and atypical presentation of a patient with ventricular arrhythmia revealing a metastatic cancer in the heart. A 59-year-old man with lung cancer was admitted for chest tightness and episodes of syncope.

A Machine Learning Model Using Cardiac CT and MRI Data Predicts Cardiovascular Events in Obstructive Coronary Artery Disease.

Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of variables. Purpose To investigate the performance of an ML model that uses both stress cardiac MRI and coronary CT angiography (CCTA) data to predict major adverse cardiovascular events (MACE) in patients with newly diagnosed CAD.

Prognostic Value of Cardiac MRI Late Gadolinium Enhancement Granularity in Participants with Ischemic Cardiomyopathy.

Background Ischemic late gadolinium enhancement (LGE) assessed with cardiac MRI is a well-established prognosticator in ischemic cardiomyopathy. However, the prognostic value of additional LGE parameters, such as extent, transmurality, location, and associated midwall LGE, remains unclear. Purpose To assess the prognostic value of ischemic LGE features to predict all-cause mortality in ischemic cardiomyopathy.

In-hospital outcomes following an acute coronary syndrome in patients with recent cannabis use.

Background: The prevalence and short-term cardiovascular consequences of recent cannabis use in patients admitted to an intensive cardiac care unit for acute coronary syndrome is not well established.

Aims: To assess the prevalence of recent cannabis use detected by prospective systematic screening, and its prognostic value in predicting the occurrence of in-hospital major adverse events in consecutive patients with acute coronary syndrome.

Methods: From 07 to 22 April 2021, all consecutive patients admitted to an intensive cardiac care unit in 39 centres throughout France were studied prospectively.

Phenotypic clustering of patients hospitalized in intensive cardiac care units: Insights from the ADDICT-ICCU study.

Background: Intensive cardiac care units (ICCUs) were created to manage ventricular arrhythmias after acute coronary syndromes, but have diversified to include a more heterogeneous population, the characteristics of which are not well depicted by conventional methods.

Aims: To identify ICCU patient subgroups by phenotypic unsupervised clustering integrating clinical, biological, and echocardiographic data to reveal pathophysiological differences.

Methods: During 7-22 April 2021, we recruited all consecutive patients admitted to ICCUs in 39 centers.

European Association of Cardiovascular Imaging survey on cardiovascular multimodality imaging in acute myocarditis.

Aims: To assess the current role of cardiac imaging in the diagnosis, management, and follow-up of patients with acute myocarditis (AM) through a European Association of Cardiovascular Imaging survey.

Methods And Results: A total of 412 volunteers from 74 countries responded to the survey. Most participants worked in tertiary centres (56%).