Background: Falls are a significant public health problem and constitute a major cause of injuries and mortality. Risk factors for falls are multifactorial and include medication use.
Aim: To develop and investigate the content validity of the Medication-Related fall (MRF) screening and scoring tool.
Method: The MRF tool was developed from clinical practice guidelines addressing medication-related problems, and additional medications identified by specialist pharmacists across a region of the United Kingdom (Northern Ireland). Medication classes were categorised according to their 'potential to cause falls' as: high-risk (three points), moderate-risk (two points) or low-risk (one point). The overall medication-related falls risk for the patient was determined by summing the scores for all medications. The MRF was validated using Delphi consensus methodology, whereby three iterative rounds of surveys were conducted using SurveyMonkey. Twenty-two experts from 10 countries determined their agreement with the falls risk associated with each medication on a 5-point Likert scale. Only medications with at least 75% of respondents agreeing or strongly agreeing were retained in the next round.
Results: Consensus was reached for 19 medications/medication classes to be included in the final version of the MRF tool; ten were classified as high-risk, eight as moderate-risk and one as low-risk.
Conclusion: The MRF tool is simple and has the potential to be integrated into medicines optimisation to reduce falls risk and negative fall-related outcomes. The score from the MRF tool can be used as a clinical parameter to assess the need for medication review and clinical interventions.
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http://dx.doi.org/10.1007/s11096-024-01734-w | DOI Listing |
J Bodyw Mov Ther
October 2024
Santa Catarina State University, Brazil. Electronic address:
Objective: To investigate the influence of myofascial release (MFR) techniques on biomechanical parameters, including force, speed, Range of Motion (ROM), and flexibility in athletes.
Method: This is a systematic review conducted on the databases United States National Library of Medicine (PubMed), Scopus, Scientific Electronic Library Online (SciELO); LILACS, and Embase. The PRISMA guidelines - 2020 were followed, and bias risk analysis was performed using the Cochrane Handbook tool (RoB2).
iScience
November 2024
Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel.
Noninvasive magnetic resonance imaging (MRI) of the relayed nuclear Overhauser effect (rNOE) constitutes a promising approach for gaining biological insights into various pathologies, including brain cancer, kidney injury, ischemic stroke, and liver disease. However, rNOE imaging is time-consuming and prone to biases stemming from the water T1 and the semisolid magnetization transfer (MT) contrasts. Here, we developed a rapid rNOE quantification approach, combining magnetic resonance fingerprinting (MRF) acquisition with deep-learning-based reconstruction.
View Article and Find Full Text PDFClin Neuroradiol
November 2024
School of Biomedical Engineering & Imaging Sciences, King's College London, BMEIS, King's College London. 1 Lambeth Palace Road, UK SE1 7EU, London, UK.
Purpose: Subarachnoid haemorrhage is a potentially fatal consequence of intracranial aneurysm rupture, however, it is difficult to predict if aneurysms will rupture. Prophylactic treatment of an intracranial aneurysm also involves risk, hence identifying rupture-prone aneurysms is of substantial clinical importance. This systematic review aims to evaluate the performance of machine learning algorithms for predicting intracranial aneurysm rupture risk.
View Article and Find Full Text PDFMagnetorheological finishing (MRF) stands out as a notable polishing technology, characterized by high precision and minimal damage. However, establishing an accurate and practical model for the tool influence function (TIF) of MRF poses a significant challenge. In this paper, a TIF modeling method of MRF based on distributed parallel neural networks is proposed for the first time.
View Article and Find Full Text PDFACS Synth Biol
November 2024
State Key Laboratory of Microbial Technology, Shandong University, Qingdao, Shandong 266237, People's Republic of China.
The efficiency of valuable metabolite production by engineered microorganisms underscores the importance of stable and controllable gene expression. While plasmid-based methods offer flexibility, integrating genes into host chromosomes can establish stability without selection pressure. However, achieving site-directed multicopy integration presents challenges, including site selection and stability.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!