Objectives: To estimate the minimal clinically important difference (MCID) for the Neuropsychiatric Inventory Questionnaire (NPI-Q), a widely used measure of behavioral and psychological symptoms of dementia (BPSDs) and associated caregiver stress.
Design: Ten registered nurses rated the severity of BPSDs and caregiver distress using the NPI-Q during six monthly assessments and an external reference, a 7-point Likert-type global rating of BPSDs change during five monthly assessments from the second to the sixth month. An anchor-based (global ratings of change) approach and a distribution-based (standard error of measurement) approach were used to determine the MCID for the NPI-Q severity and distress subscales.
Setting: Long-term care facility.
Participants: Nonbedridden residents with dementia (n = 45) and registered nurses (n = 10).
Measurements: NPI-Q (severity and caregiver distress subscales) and global ratings of changes in BPSDs on a 7-point Likert-type scale.
Results: The NPI-Q MCID ranges were 2.77 to 3.18 for severity and 3.10 to 3.95 for distress. Residents in the highest NPI-Q tertile at baseline had higher MCID severity (3.62) and distress (5.08) scores than those in the lowest tertile (severity (2.40), distress (3.10)).
Conclusion: This study provides an estimate of the MCID for severity and distress subscales of the NPI-Q, which can help clinicians and researchers determine whether NPI-Q change scores within a group of individuals with dementia are beyond measurement error and are clinically important.
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http://dx.doi.org/10.1111/jgs.13473 | DOI Listing |
J Robot Surg
January 2025
The Third Ward of Orthopaedic Department, General Hospital of Ningxia Medical University, 804 Shengli South Street, Hui Autonomous Region, Yinchuan, Ningxia, 750004, People's Republic of China.
The purpose of this study is to assess the safety and effectiveness of TiRobot-assisted treatment for femoral neck fractures, in comparison to traditional freehand treatment methods. Throughout the research process, we conducted an extensive literature search across numerous databases, including PubMed, EMBASE, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), CQVIP, and Wanfang. Based on the literature screening criteria, we selected six studies, encompassing 358 cases of femoral neck fracture patients, for this meta-analysis.
View Article and Find Full Text PDFAm J Sports Med
January 2025
Department of Pharmacology and Biostatistics, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Background: Patellar instability is frequently encountered by orthopaedic surgeons. One of the major risk factors of this condition is underlying trochlear dysplasia (TD). Recent trends have indicated the use of multiple procedures to correct patellar instability under these conditions.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
Ocular surface chemical injuries often result in permanent visual impairment and necessitate complex, long-term treatments. Immediate and extensive irrigation serves as the first-line intervention, followed by various therapeutic protocols applied throughout different stages of the condition. To optimize outcomes, conventional regimens increasingly incorporate biological agents and surgical techniques.
View Article and Find Full Text PDFNeurol Ther
January 2025
Clinical Pharmacology, AbbVie Inc., 1 North Waukegan Rd., North Chicago, IL, 60064, USA.
Introduction: Atogepant is a calcitonin gene-related peptide receptor antagonist approved for the preventive treatment of migraine in adults in the USA, EU, and several other countries. The objectives of this study were to evaluate the pharmacokinetics (PK) and dose proportionality of atogepant in healthy Japanese participants, evaluate the safety and tolerability of atogepant in Japanese participants, and explore the differences in the PK and safety of atogepant in Japanese vs white participants.
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Sci Rep
January 2025
School of Physics, Engineering and Technology, University of York, Heslington, York, YO10 5DD, UK.
Prostate cancer is a disease which poses an interesting clinical question: Should it be treated? Only a small subset of prostate cancers are aggressive and require removal and treatment to prevent metastatic spread. However, conventional diagnostics remain challenged to risk-stratify such patients; hence, new methods of approach to biomolecularly sub-classify the disease are needed. Here we use an unsupervised self-organising map approach to analyse live-cell Raman spectroscopy data obtained from prostate cell-lines; our aim is to exemplify this method to sub-stratify, at the single-cell-level, the cancer disease state using high-dimensional datasets with minimal preprocessing.
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