Search

Background: Patients with overweight and obesity are at increased risk of death from multiple causes, including cardiovascular (CV) death, with few therapies proven to reduce the risk., Objectives: This study sought to assess the effect of semaglutide 2.4 mg on all-cause death, CV death, and non-CV death, including subcategories of death and death from coronavirus disease-2019 (COVID-19)., Methods: The SELECT (Semaglutide Effects on Cardiovascular Outcomes in Patients With Overweight or Obesity) trial randomized 17,604 participants ≥45 years of age with a body mass index ≥27 kg/m 2 with established CV disease but without diabetes to once-weekly subcutaneous semaglutide 2.4 mg or placebo; the mean trial duration was 3.3 years. Adjudicated causes of all deaths, COVID-19 cases, and associated deaths were captured prospectively., Results: Of 833 deaths, 485 (58%) were CV deaths, and 348 (42%) were non-CV deaths. Participants assigned to semaglutide vs placebo had lower rates of all-cause death (HR: 0.81; 95% CI: 0.71-0.93), CV death (HR: 0.85; 95% CI: 0.71-1.01), and non-CV death (HR: 0.77; 95% CI: 0.62-0.95). The most common causes of CV death with semaglutide vs placebo were sudden cardiac death (98 vs 109; HR: 0.89; 95% CI: 0.68-1.17) and undetermined death (77 vs 90; HR: 0.85; 95% CI: 0.63-1.15). Infection was the most common cause of non-CV death and occurred at a lower rate in the semaglutide vs the placebo group (62 vs 87; HR: 0.71; 95% CI: 0.51-0.98). Semaglutide did not reduce incident COVID-19; however, among participants who developed COVID-19, fewer participants treated with semaglutide had COVID-19-related serious adverse events (232 vs 277; P = 0.04) or died of COVID-19 (43 vs 65; HR: 0.66; 95% CI: 0.44-0.96). High rates of infectious deaths occurred during the COVID-19 pandemic, with less infectious death in the semaglutide arm, and resulted in fewer participants in the placebo group being at risk for CV death., Conclusions: Compared to placebo, patients treated with semaglutide 2.4 mg had lower rates of all-cause death, driven similarly by CV and non-CV death. The lower rate of non-CV death with semaglutide was predominantly because of fewer infectious deaths. These findings highlight the effect of semaglutide on mortality across a broad population of patients with CV disease and obesity. (Semaglutide Effects on Cardiovascular Outcomes in Patients With Overweight or Obesity [SELECT]; NCT03574597)., Competing Interests: Funding Support and Author Disclosures Dr Scirica has received institutional research grants to Brigham and Women’s Hospital from Better Therapeutics, Merck, Novo Nordisk, and Pfizer; has received consulting fees from Allergan, Amgen, Boehringer Ingelheim, Better Therapeutics, Elsevier Practice Update Cardiology, Esperion, Hanmi, Lexicon, and Novo Nordisk; and holds equity in Health [at] Scale and Doximity. Dr Lincoff has received research grants from AbbVie Inc, AstraZeneca, CSL Behring, Eli Lilly and Company, Esperion Therapeutics, Inc, and Novartis paid to his institution; and has served as a consultant for Akebia Therapeutics Inc, Alnylam Pharmaceuticals Inc, Ardelyx, Eli Lilly and Company, FibroGen, GlaxoSmithKline, Intarcia, Medtronic Vascular Inc, Novartis Pharmaceuticals Corporation, Novo Nordisk, Provention Bio, Entity, and ReCor Medical. Dr Lingvay has received research grants from Boehringer Ingelheim, Merck, Mylan Pharmaceuticals Inc, Novo Nordisk, Pfizer, and Sanofi US Services Inc; has served as a consultant for AstraZeneca, Bayer Healthcare Pharmaceuticals Inc, Biomea, Boehringer Ingelheim, Carmot, Eli Lilly and Company, Intarcia, Intercept Pharmaceuticals, Inc, Janssen Global Services, LLC, Johnson & Johnson Medical Devices & Diagnostics Group-Latin America, LLC, MannKind Corporation, Merck, Novo Nordisk, Pfizer Inc, Sanofi US Services Inc, Shionogi Inc, Structure Therapeutics, Target Pharma, Valeritas, Inc, and Zealand Pharma; and has received travel expenses from Boehringer Ingelheim, Eli Lilly and Company, Johnson & Johnson Medical Devices & Diagnostics Group-Latin America, LLC, Novo Nordisk, Sanofi US Services Inc, and Zealand Pharma A/S. Dr Buscemi has received advisory/consulting honoraria from Novo Nordisk, Eli Lilly, Pfizer, Boehringer Ingelheim, and Dompè. Dr Colhoun has served on advisory panels for Novo Nordisk and Bayer; has received research funding from Sanofi, Roche, and IQVIA; has received grants from Chief Scientist Office, Diabetes UK, European Commission, Juvenile Diabetes Research Foundation, and Medical Research Council; has served on the Speakers Bureau for Novo Nordisk; and holds equity in Roche Pharmaceuticals and Bayer. Dr Craciun has received advisory/consulting fees and/or other support from Novo Nordisk, Eli Lilly, Sanofi, Boehringer Ingelheim, Servier, Berlin Chemie, and Viatris. Dr Hardt-Lindberg is an employee of and stakeholder in Novo Nordisk. Dr Jeppesen is an employee of and stakeholder in Novo Nordisk. Dr Matos is an employee of and stakeholder in Novo Nordisk. Dr Node has received honoraria from AstraZeneca, Bayer Yakuhin, Boehringer Ingelheim Japan, Daiichi-Sankyo, Eli Lilly Japan, Mitsubishi Tanabe Pharma, Merck Sharp & Dohme, Novartis Pharma, and Otsuka; has received research grants from Astellas, Bayer Yakuhin, Boehringer Ingelheim Japan, Fujiyakuhin, Mitsubishi Tanabe Pharma, Mochida Pharmaceutical, and Novartis Pharma; and has received scholarships from Abbott, Boehringer Ingelheim Japan, Daiichi-Sankyo, Mitsubishi Tanabe Pharma, and Teijin Pharma. Dr Toplak has received institutional research grants from Amgen, Daiichi-Sankyo, Novo Nordisk, and Novartis; and has received consulting/speaker honoraria from Amgen, Daiichi-Sankyo, Novartis, and Novo Nordisk. Dr van Beek has been contracted via the University of Groningen (no personal payment) to undertake consultancy for Novo Nordisk, Eli Lilly, and Boehringer Ingelheim. Dr Weeke is an employee of and stakeholder in Novo Nordisk. Dr Wiviott has received research grants from Amgen, AstraZeneca, Janssen, Merck, and Pfizer; has received consulting fees from Icon, Novo Nordisk, and Verian; has received speaking honoraria from Harvard Medical School; is a member of the TIMI Study Group, which has received institutional research grant support through Brigham and Women’s Hospital from Abbott, Amgen, Anthos Therapeutics, ARCA Biopharma, Inc, AstraZeneca, Bayer HealthCare Pharmaceuticals, Inc, Daiichi-Sankyo, Eisai, Intarcia, Ionis Pharmaceuticals, Inc, Janssen Research and Development, LLC, MedImmune, Merck, Novartis, Pfizer, Quark Pharmaceuticals, Regeneron Pharmaceuticals, Inc, Roche, Siemens Healthcare Diagnostics, Inc, Softcell Medical Limited, The Medicines Company, and Zora Biosciences; and his spouse, Dr Caroline Fox, is a former employee of Merck, Flagship Labs, and current employee of Vertex. Dr Deanfield has received consulting honoraria from Amgen, Boehringer Ingelheim, Merck, Pfizer, Aegerion, Novartis, Sanofi, Takeda, Novo Nordisk, and Bayer; and has received research grants from British Heart Foundation, MRC(UK), National Institute for Health and Care Research, PHE, Merck Sharp & Dohme, Pfizer, Aegerion, Colgate, and Roche. Dr Ryan has received consulting honoraria from Altimmune, Amgen, Biohaven, Boehringer Ingelheim, Calibrate, Carmot Therapeutics, CinRx, Eli Lilly, Epitomee, Gila Therapeutics, Ifa Celtic, Novo Nordisk, Pfizer, Rhythm, Scientific Intake, Wondr Health, and Zealand; and has received stock options from Calibrate, Epitomee, Scientific Intake, and Xeno Bioscience. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Dilated cardiomyopathy (DCM) is a leading cause of heart failure, sudden cardiac death, and heart transplantation in young patients. The causes of DCM are varied and include genetic factors and metabolic, infectious, toxic and others factors. Today it is known that germline mutations in more than 98 genes can be associated with the occurrence of DCM. However, the penetrance of these genes often depends on a combination of factors, including modifiable ones, i.e. those that change under the influence of the environment. About 20-25% of genetically determined forms of DCM are due to mutations in the titin gene ( TTN ). Titin is the largest protein in the body, which is an important component of the sarcomer. Although titin is the largest protein in the human body, its role in the physiology of heart and disease is not yet fully understood. However, a mutation in the TTN gene may later represent a potential therapeutic target for genetic and acquired cardiomyopathy. Thus, the analysis of clinical cases of cardiomyopathy in patients with identified mutations in the TTN gene is of great scientific interest. The article presents a clinical case of manifestation of DCM in patient with a revealed pathogenic variant of mutation in the gene TTN and reverse left ventricular remodeling of the against the background of optimal therapy of heart failure in a subsequent outpatient observation.

Measuring blood pressure (BP) and investigating arterial hemodynamics are essential in understanding cardiovascular disease and assessing cardiovascular risk. Several methods are used to measure BP in the doctor's office, at home, or over 24 h under ambulatory conditions. Similarly, several noninvasive methods have been introduced for assessing arterial structure and function; these methods differ for the large arteries, the small ones, and the capillaries. Consequently, when studying arterial hemodynamics, the clinician is faced with a multitude of assessment methods whose technical details, advantages, and limitations are sometimes unclear. Moreover, the conditions and procedures for their optimal implementation, and/or the reference normality values for the parameters they yield are not always taken into sufficient consideration. Therefore, a practice guideline summarizing the main methods and their use in clinical practice is needed. This expert group position paper was developed by an international group of scientists after a two-day meeting during which each of the most used methods and techniques for blood pressure measurement and arterial function and structure evaluation were presented and discussed, focusing on their advantages, limitations, indications, normal values, and their pragmatic clinical application., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Objectives: This study aimed to assess the reliability of AI-based system that assists the healthcare processes in the diagnosis of caries on intraoral radiographs., Methods: The proximal surfaces of the 323 selected teeth on the intraoral radiographs were evaluated by two independent observers using an AI-based (Diagnocat) system. The presence or absence of carious lesions was recorded during Phase 1. After 4 months, the AI-aided human observers evaluated the same radiographs (Phase 2), and the advanced convolutional neural network (CNN) reassessed the radiographic data (Phase 3). Subsequently, data reflecting human disagreements were excluded (Phase 4). For each phase, the Cohen and Fleiss kappa values, as well as the sensitivity, specificity, positive and negative predictive values, and diagnostic accuracy of Diagnocat, were calculated., Results: During the four phases, the range of Cohen kappa values between the human observers and Diagnocat were κ=0.66-1, κ=0.58-0.7, and κ=0.49-0.7. The Fleiss kappa values were κ=0.57-0.8. The sensitivity, specificity and diagnostic accuracy values ranged between 0.51-0.76, 0.88-0.97 and 0.76-0.86, respectively., Conclusions: The Diagnocat CNN supports the evaluation of intraoral radiographs for caries diagnosis, as determined by consensus between human and AI system observers., Clinical Significance: Our study may aid in the understanding of deep learning-based systems developed for dental imaging modalities for dentists and contribute to expanding the body of results in the field of AI-supported dental radiology.., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: David Manulis, Matyey Ezhov and Alex Sanders are employees of Diagnocat Co. Ltd.. Kaan Orhan is a scientific research advisor for the Diagnocat Co. Ltd., San Francisco CA., (Copyright © 2024. Published by Elsevier Ltd.)