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Objective: The heart team (HT) approach plays a key role in selecting the optimal treatment strategy for patients with aortic stenosis (AS). However, little is known about the HT decision process and its impact on outcomes. The aim of this study was to identify the factors associated with the HT decision and evaluate clinical outcomes according to the treatment choice.
Methods: The study included a total of 286 consecutive patients with AS referred for discussion in the weekly HT meeting in a cardiovascular institute over 2 years. Patients were stratified according to the selected therapeutic approach: medical treatment (MT), surgical (SAVR), or transcatheter (TAVR) aortic valve replacement. Baseline characteristics involved in making a therapeutic choice were identified and a decision-making tree was built using classification and regression tree methodology.
Results: Based on HT discussion, 53 patients were assigned to SAVR, 210 to TAVR, and 23 to MT. Older patients (≥88 years old) were mainly assigned to TAVR or MT according to the logistic EuroSCORE (
Conclusion: The HT decision was determined by well-recognized risk factors that were used to define a treatment decision algorithm. Future studies with younger and lower-risk patients may identify new contributory factors that may alter the selection process and treatment choice.
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http://dx.doi.org/10.1111/jocs.15116 | DOI Listing |
Rev Cardiovasc Med
August 2025
Cardiovascular Surgery Department, Ankara Bilkent City Hospital, 06800 Ankara, Turkey.
Background: This study aimed to investigate the performance of two versions of ChatGPT (o1 and 4o) in making decisions about coronary revascularization and to compare the recommendations of these versions with those of a multidisciplinary Heart Team. Moreover, the study aimed to assess whether the decisions generated by ChatGPT, based on the internal knowledge base of the system and clinical guidelines, align with expert recommendations in real-world coronary artery disease management. Given the increasing prevalence and processing capabilities of large language models, such as ChatGPT, this comparison offers insights into the potential applicability of these systems in complex clinical decision-making.
View Article and Find Full Text PDFTemperature (Austin)
April 2025
Department of Health Sciences, Swedish Winter Sports Research Centre, Mid Sweden University, Östersund, Sweden.
Heat exposure after exercise may enhance recovery of physical performance but can also impose additional physiological stress on athletes. This study investigated the effects of post-exercise infrared sauna (IRS) on adrenal and autonomic nervous system (ANS) responses and examined how these responses adapt over time during a 6-week training intervention. Forty female team-sport athletes were pair-matched into an IRS-group and a control group (CON).
View Article and Find Full Text PDFJACC Heart Fail
September 2025
British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom; Department of Internal Medicine, School of Clinical Medicine, Hangzhou Normal University, Hangzhou, China. Electronic address:
Ann Afr Med
September 2025
Department of Medicine, School of Medicine, Nazarbayev University, Astana, Kazakhstan.
Background: A comprehensive knowledge of renal vasculature is essential to diagnose and carry out safe clinical interventions accurately. Anatomic variations in renal vessels can present procedural challenges in surgeries such as nephrectomy, transplants, and endovascular interventions.
Methods: In the present retrospective study, we analyzed the distribution patterns of the renal vascular variants and measurements of length and diameter in computed tomography angiographies (CTAs).
Herz
September 2025
Department of Cardiology, Heart Center Leipzig, University of Leipzig, Strümpellstraße 39, 04289, Leipzig, Deutschland.
Since the earliest studies on transcatheter aortic valve implantation (TAVI), the heart team concept has been an integral component of treatment planning for patients with aortic valve stenosis (AS). The primary objective is to ensure patient-specific, guideline-based treatment through the structured involvement of all relevant medical disciplines. The TAVI heart team is strongly recommended with a class I indication in both European and US clinical guidelines.
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