With the intensification of population aging worldwide, the health problems of the elderly have become a particular concern. Functional disability is a prominent problem in the aging of this population, resulting in the decreased quality of life of senile people. Risk factors for functional disability in the elderly include geriatric syndromes and the associated diseases such as frailty. The influence of frailty on the health of the elderly has been a hot topic in recent years. As a dynamic and reversible geriatric syndrome, it has become one of the important public health problems emerging around the world. Frailty lies between self-reliance and the need for care and is reversible. Reasonable preventive interventions can restore the elderly to an independent life. If no interventions are implemented, the elderly will face a dilemma. There is no gold standard for frailty screening around the world. In order to alleviate frailty in the elderly, many countries have conducted early screening for frailty, mainly focusing on nutrition, physical activity, and social participation, in order to detect and prevent frailty earlier and to reduce the incidence of frailty. This topic provides an overview of the current status of frailty, early screening for frailty, and the interventions for frailty in most countries of the world.
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http://dx.doi.org/10.5582/bst.2023.01204 | DOI Listing |
Anal Chem
January 2025
School of Life Sciences, Key Laboratory of Space Bioscience & Biotechnology, Northwestern Polytechnical University, Xi'an 710072, China.
Lymphoma is a malignant cancer characterized by a rapidly increasing incidence, complex etiology, and lack of obvious early symptoms. Efficient theranostics of lymphoma is of great significance in improving patient outcomes, empowering informed decision-making, and driving medical innovation. Herein, we developed a multifunctional nanoplatform for precise optical imaging and therapy of lymphoma based on a new photosensitizer (1-oxo-1-benzoo[de]anthracene-2,3-dicarbonitrile-triphenylamine (OBADC-TPA)).
View Article and Find Full Text PDFNucleosides Nucleotides Nucleic Acids
January 2025
Urology & Nephrology Center, Department of Nephrology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.
In the early stages, chronic kidney disease (CKD) can be asymptomatic, marking diagnosis difficult. This study aimed to investigate the diagnostic role and potential regulatory mechanisms of nucleolar protein 14 (NOP14) -antisense RNA 1 (AS1) in patients with CKD. Herein, 68 patients with CKD, 65 patients with CKD undergoing peridialysis, and 80 healthy adults were included.
View Article and Find Full Text PDFFuture Sci OA
December 2025
Gastroenterology Department, La Rabta Hospital, Tunis, Tunisia.
Background: Colonic stenosis in Crohn's disease (CD) is uncommon, and data on surgery-free survival are limited. This study aimed to determine surgery-free survival rates and identify associated factors.
Patients And Methods: A retrospective study was conducted from 2003 to 2022, including patients with CD complicated by colonic stenosis.
Clin Nurs Res
January 2025
Mayo Clinic, Jacksonville, FL, USA.
This study aimed to explore contextual elements of the cancer experience that are consistently distressing and/or psychologically traumatic, as well as explore perceptions of Accelerated Resolution Therapy® (ART®) and its influence on the cancer experience. Using a qualitative descriptive design, semi-structured interviews were completed by 12 participants following the completion of ART. Interview data were analyzed using content analysis to identify major themes and patterns.
View Article and Find Full Text PDFComput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
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