The aging population, higher burden of predisposing conditions and comorbidities along with improvements in therapy all contribute to the growing prevalence of heart failure (HF). Although the majority of trials have not demonstrated age-dependent heterogeneity in the efficacy or safety of medical treatment for HF, the latest trials demonstrate that older participants are less likely to receive established drug therapies for HF with reduced ejection fraction. There remains reluctance in real-world clinical practice to prescribe and up-titrate these medications in older people, possibly because of (mis)understanding about lower tolerance and greater propensity for developing adverse drug reactions. This is compounded by difficulties in the management of multiple medications, patient preferences and other non-medical considerations. Future research should provide a more granular analysis on how to approach medical and device therapies in elderly patients, with consideration of biological differences, difficulties in care delivery and issues relevant to patients' values and perspectives. A variety of approaches are needed, with the central principle being to 'add years to life - and life to years'. These include broader representation of elderly HF patients in clinical trials, improved education of healthcare professionals, wider provision of specialised centres for multidisciplinary HF management and stronger implementation of HF medical treatment in vulnerable patient groups.
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http://dx.doi.org/10.15420/cfr.2021.14 | DOI Listing |
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Pharmazie
December 2024
Centre of Excellence for Pharmaceutical Sciences (Pharmacen™), North-West University, Potchefstroom, Republic of South Africa.
The COVID-19 pandemic caused global pandemonium, and due to an unprecedented global response, the popularity and use of (veterinary) ivermectin, amongst many other conceivable 'treatments', experienced a meteoric rise. Ivermectin is a macrocyclic lactone compound belonging to the avermectin drug class and is a registered medicine in many countries, although the most common use is as veterinary medicine. In this study, a fast HPLC method was developed and validated for the quantification of ivermectin in veterinary products that were used off-label by a substantial number of people during COVID-19.
View Article and Find Full Text PDFMed Phys
January 2025
Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
Background: Diffusing alpha-emitters Radiation Therapy ("Alpha DaRT") is a promising new radiation therapy modality for treating bulky tumors. Ra-carrying sources are inserted intratumorally, producing a therapeutic alpha-dose region with a total size of a few millimeter via the diffusive motion of Ra's alpha-emitting daughters. Clinical studies of Alpha DaRT have reported 100% positive response (30%-100% shrinkage within several weeks), with post-insertion swelling in close to half of the cases.
View Article and Find Full Text PDFRespirology
January 2025
Department of Respiratory Care, College of Medical Applied Sciences, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
Special Series: Leading Women in Respiratory Clinical Sciences.
View Article and Find Full Text PDFAnn Surg Oncol
January 2025
Department of Surgery, National Defense Medical College, Tokorozawa, Saitama, Japan.
Background: Tumor size (TS) in pancreatic ductal adenocarcinoma (PDAC) is one of the most important prognostic factors. However, discrepancies between TS on preoperative images (TSi) and pathological specimens (TSp) have been reported. This study aims to evaluate the factors associated with the differences between TSi and TSp.
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