This study aims to evaluate the association between patient falls and relevant factors and to quantify their effect on fall risk. This is a retrospective case-control study using the secondary data collected from a tertiary general hospital. Study subjects were 450 patients who were admitted to the hospital between January 2016 and December 2020. The prevalence of falls was associated with the fall risk level by the Morse Fall Scale (MFS) and individual status at admission including history of admission, dizziness, sleep disorder, bowel dysfunction, and urinary incontinence. The odds ratios of patient falls were higher in the low-risk group by the MFS score (odds ratio (OR) = 2.61, < 0.001) and the high-risk group (OR = 5.51, < 0.001) compared to the no-risk group. The hazard ratio of patient falls was higher in the high-risk group by the MFS score (hazard ratio (HR) = 3.85, < 0.001). The MFS had a significant explanatory power to predict fall risk. Sleep disorder and urinary incontinence were the significant factors influencing patient falls.
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http://dx.doi.org/10.3390/healthcare11152194 | DOI Listing |
J Formos Med Assoc
January 2025
Department of Neurology, National Taiwan University Hospital, Taipei, Taiwan. Electronic address:
Controlling hypertension has become an important issue in the elderly population in whom neurological comorbidities are highly prevalent. Most of the large-scale trials focusing on hypertension management in older populations have excluded patients with comorbid neurological disorders. However, this population requires special considerations, as the benefits of antihypertensive agents are mostly uncertain and there is a higher risk of adverse events.
View Article and Find Full Text PDFEur J Paediatr Neurol
January 2025
Dravet Syndrome UK, Chesterfield, UK.
Objectives: Dravet syndrome (DS) is a severe developmental and epileptic encephalopathy that requires significant caregiver input across the lifespan. This predominantly falls on parents, who are faced with considerable challenges including physical demands, financial burdens, and sustained pressure on mental wellbeing leading to mental health difficulties. We aimed to develop a grounded theory model for the process of coping and adjustment that occurs when caring for a child who has a diagnosis of DS.
View Article and Find Full Text PDFJ Geriatr Oncol
January 2025
Department of Surgery, Division of Surgical Oncology, Roger Williams Medical Center, Providence, RI, United States of America; Department of Surgery, Boston University Medical Center, Boston, MA, United States of America. Electronic address:
Introduction: Studies outlining the unique burden of geriatric medical conditions and syndromes among older adults undergoing major oncological surgery are lacking, along with understanding of the goals of care for this population.
Materials And Methods: We conducted a single-institutional review of the initial 50 patients who enrolled in the American College of Surgeons' Geriatric Surgery Verification Program (GSV) program implemented for those ≥65 years undergoing major oncological surgery during the year 2023. Patient variables were categorized into four domains - somatic, functional, psychological, and social.
Mol Genet Metab Rep
March 2025
Hayward Genetics Center, Dept of Pediatrics, Tulane University Medical School, New Orleans, LA, USA.
Objective: To provide insights and strategies for pegvaliase management in challenging cases with phenylketonuria (PKU) based on the first 5 years of experience with pegvaliase in real-world clinical practice.
Methods: Twelve PKU experts gathered during a one-day, in-person meeting to discuss clinical cases illustrating important lessons from their experiences treating patients with pegvaliase in real-world clinical practice. Challenges with pegvaliase experienced prior to and during treatment and corresponding strategies to overcome them were discussed.
J Gastrointest Oncol
December 2024
Department of Interventional Vascular Surgery, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China.
Background: Hepatocellular carcinoma (HCC) constitutes approximately 75-85% of primary liver cancers and is a heavy burden on public health. Many innovative prediction systems have integrated radiomics, artificial intelligence, pathological information, or even genetic information for the stratification and prognosis prediction of patients with HCC. However, these systems still lack practical and clinical applications.
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