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Objectives: Today, the involvement of patients in their care is essential. As the population ages increases, the number of patients with chronic diseases is increasing. In the vascular medicine and surgery departments, patients are polymedicated and mostly suffer from several chronic diseases. Approximately 50% of patients with a chronic disease are not adherent. Among the factors that can influence therapeutic adherence are the beliefs and representations of patients.To evaluate the beliefs and representations of chronic treatments in patients with multiple medications and hospitalised in a vascular medicine and surgery department, and to evaluate the medication adherence, the knowledge and the importance patients attach to their treatments.
Design: Observational, prospective and a single-centre study.
Setting: The study was conducted in a French tertiary hospital centre of around 3000 beds in 9 institutions.
Participants: Adult polymedicated (ie, minimum of five chronic treatments) patients hospitalised in a vascular medicine and surgery department were included after application of the exclusion criteria.
Methods: Patient interviews were carried out in the department and were based on three interviewer-administered questionnaires (a global questionnaire, the Belief Medical Questionnaire and the GIRERD questionnaire).
Results: Our study showed that patients perceived their treatments as beneficial rather than worrying. A correlation between medication adherence and beliefs was observed. 'Non-adherent'patients had a more negative overall view of medication than 'adherent' patients. The level of compliance and knowledge of our patients was low. Only 11% of the patients were 'good adherent', 16% of the patients could perfectly name their treatment and 36% knew all the indications.
Conclusion: Knowledge of treatment representation and beliefs are central to understanding patient behaviour. Considering patients' representations will allow the identification of levers, and the development of actions and educational tools adapted to improve their adherence, their knowledge and therefore their drug management.
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http://dx.doi.org/10.1136/bmjopen-2023-073250 | DOI Listing |
Apoptosis
September 2025
Key Laboratory of Emergency and Trauma of the Ministry of Education, Department of Interventional Radiology and Vascular Surgery, First Affiliated Hospital of Hainan Medical University, Hainan Medical University, 31 Longhua Road, Longhua District, Haikou City, Hainan Province, China.
The singular forms of programmed cell death (PCD), including pyroptosis, apoptosis, and necroptosis, are inadequate for comprehensively elucidating the complex pathological mechanisms underlying ischemic diseases. PANoptosis is a unique lytic, innate immune, and inflammatory cell death pathway, initiated by innate immune sensors and driven by caspases and RIPKs through PANoptosome complexes. In diseases like cerebral ischemia, retinal ischemia, myocardial ischemia, renal ischemia, and spinal cord ischemia, targeting key regulatory factors of PANoptosis can help mitigate tissue damage.
View Article and Find Full Text PDFJACC Case Rep
September 2025
Department of Cardiology, Monaldi Hospital, Naples, Italy. Electronic address:
Background: Pulmonary hypertension is a contraindication to correction of tricuspid regurgitation.
Case Summary: A 75-year-old Italian woman with previous episodes of right heart failure was diagnosed with World Health Organization (WHO) functional class IV pulmonary arterial hypertension (PAH) complicated by torrential tricuspid regurgitation. After 6 months of treatment with diuretic agents, macitentan, and tadalafil, she improved to WHO functional class III, with a pulmonary vascular resistance (PVR) decreasing from 5.
J Am Coll Cardiol
August 2025
Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA; Department of Cardiology, Kaiser Permanente Santa Clara Medical Center, Santa Clara, California, USA. Electronic address:
Background: Accurate measurement of echocardiographic parameters is crucial for the diagnosis of cardiovascular disease and tracking of change over time; however, manual assessment requires time-consuming effort and can be imprecise. Artificial intelligence has the potential to reduce clinician burden by automating the time-intensive task of comprehensive measurement of echocardiographic parameters.
Objectives: The purpose of this study was to develop and validate open-sourced deep learning semantic segmentation models for the automated measurement of 18 anatomic and Doppler measurements in echocardiography.
J Am Coll Cardiol
August 2025
Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA; Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts, USA.
Future Sci OA
December 2025
Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Background: Smoking induces inflammation in the heart and intima layer of blood vessels by activating nuclear factor kappa B, which controls the transcription of immunoglobulin free light chain (FLC)-κ. FLC levels are indicative of higher mortality in the overall population and poorer prognoses in cardiovascular diseases. This study aimed to analyze the effect of smoking cessation (SC) on the levels of FLCs and markers of inflammation and heart failure.
View Article and Find Full Text PDF