Objective: Participation in cardiac rehabilitation (CR) after hospitalisation for heart failure (HF) is estimated to below, but specific data for Belgium are lacking. Therefore, we wanted to evaluate attendance after HF hospitalisation compared to patients after cardiac surgery or acute coronary syndrome (ACS). Moreover, the improvement in exercise capacity was compared with the other patient groups.
Methods And Results: Patients who were hospitalized for HF (n=428), cardiac surgery (n=358) or ACS (n=467) in a single hospital, were prospectively included between January 2010 and May 2012. After hospitalisation for HF only 9% participated, compared to 29% after ACS and 56% after cardiac surgery. Non-participants in HF were older, more frequently women (P <0.01) and had a better left ventricular ejection fraction (P < 0.05). In addition, they had more frequently atrial fibrillation and problems to walk independently (P <0.01). At the start of the CR, HF patients had a worse clinical status and exercise capacity than patients after cardiac surgery or ACS (all P <0.001). However, exercise training resulted in a significant improvement in each group separately (all P < 0.001) and the relative improvement in exercise capacity in HF was comparable with the other groups.
Conclusions: Only 9% of HF patients participated in CR after hospitalisation. Age, female gender, a relatively well-preserved ventricular function and atrial fibrillation seem to impede attendance to CR. However, HF patients can have as much improvement in exercise capacity as other patient populations, suggesting that more effort is needed to increase participation in CR among HF patients.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1080/ac.70.2.3073504 | DOI Listing |
Purpose: This brief report aims to summarize and discuss the methodologies of eXplainable Artificial Intelligence (XAI) and their potential applications in surgery.
Methods: We briefly introduce explainability methods, including global and individual explanatory features, methods for imaging data and time series, as well as similarity classification, and unraveled rules and laws.
Results: Given the increasing interest in artificial intelligence within the surgical field, we emphasize the critical importance of transparency and interpretability in the outputs of applied models.
Acta Chir Belg
January 2025
Past President RBSS, emeritus Chief Department of Thoracic Surgery at UZ Leuven.
Eur J Cardiothorac Surg
January 2025
Department of Cardiac Surgery, University Hospital Quironsalud Madrid, Spain.
Objectives: The Ross procedure for aortic regurgitation (AR) and abnormal aortic valve morphologies is associated with an increased risk of autograft dilatation. Autograft support may ameliorate this problem. We analyzed the results for all haemodynamic lesions and the effect of autograft support.
View Article and Find Full Text PDFEur J Cardiothorac Surg
January 2025
Clinics of Anesthesiology and Intensive Care Medicine, Sana Heart Center Cottbus, Cottbus, Germany.
Ann Med
December 2025
Department of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, PR China.
Background: This study aimed to investigate the demographics and to evaluate long-term outcomes of acute type A aortic dissection (ATAAD) in surgically treated patients ≤40 years in China.
Methods: This study included patients aged ≤40 with ATAAD who underwent surgical treatment at our institution between 2015 and 2019. The patients were categorized into groups according to heritable thoracic aortic disease (HTAD) presence or absence.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!