Aim: Sarcopenia, which is among the most important geriatric syndromes, is also a public health challenge. This study evaluated the performance of the SARC-F, its modified versions and the Quality of Life in Sarcopenia (SarQoL) in screening for sarcopenia.
Methods: In the diagnostic accuracy study carried out with a total of 195 nursing home residents, sarcopenia was evaluated according to the European Working Group on Sarcopenia in Older Persons 2 algorithm. For SARC-CalFs, the calf circumference standard and its population-specific reference (31 cm, 32/33 cm, respectively) were used, whereas for SARC + elderly and body mass index information, age (>75 years) and body mass index (<21 kg/m) were used. Screening test performance was evaluated with receiver operating characteristic analysis, and the optimal cut-off points were determined according to the Youden index.
Results: The prevalence of sarcopenia was 33.8%. Although SarQoL and SARC-CalF scores were lower in individuals with sarcopenia, standard SARC-F and SARC-F + elderly and body mass index information scores were not different. SARC-F had the poorest screening performance, whereas the SarQoL scale had the best screening performance (area under the curve 0.502 vs 0.787). SARC-CalF (32/33 cm) had the best performance among the modified versions of SARC-F. The optimal cut-off point for SarQoL was <64.56, and its sensitivity in sarcopenia screening was 74.24% (95% CI 62.0-84.2) and its specificity was 79.07% (95% CI 71.0-85.7). All the modified versions of SARC-CalF had higher sensitivity and area under the curve compared with SARC-F.
Conclusions: SarQoL screening performance might be conducive to providing clinical discrimination in a nursing home sample. Further research is needed for the use of SarQoL as a potential sarcopenia screening strategy. Additionally, SARC-CalFs, especially the population-specific SARC-CalF (32/33 cm), might improve screening performance compared with standard SARC-F. Geriatr Gerontol Int 2024; 24: 1335-1342.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1111/ggi.15020 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.
JMIR Form Res
January 2025
Smith School of Business, Queen's University, Kingston, ON, Canada.
Background: Depression significantly impacts an individual's thoughts, emotions, behaviors, and moods; this prevalent mental health condition affects millions globally. Traditional approaches to detecting and treating depression rely on questionnaires and personal interviews, which can be time consuming and potentially inefficient. As social media has permanently shifted the pattern of our daily communications, social media postings can offer new perspectives in understanding mental illness in individuals because they provide an unbiased exploration of their language use and behavioral patterns.
View Article and Find Full Text PDFEnhancing beer authentication, quality, and control assessment using non-invasive spectroscopy through bottle and machine learning modeling.
J Food Sci
January 2025
Digital Agriculture, Food and Wine Research Group, School of Agriculture, Food and Ecosystem Science, Faculty of Science, The University of Melbourne, Melbourne, Victoria, Australia.
Fraud in alcoholic beverages through counterfeiting and adulteration is rising, significantly impacting companies economically. This study aimed to develop a method using near-infrared (NIR) spectroscopy (1596-2396 nm) through the bottle, along with machine learning (ML) modeling for beer authentication, quality traits, and control assessment. For this study, 25 commercial beers from different brands, styles, and three types of fermentation were used.
View Article and Find Full Text PDFMapping the Washington Group on Disability Statistics disability measure to the Health Utilities Index Mark 3: Development and validation of a predictive multivariable model in a general population sample.
Health Rep
January 2025
formerly with the Health Analysis Division, Statistics Canada.
Background: Statistics Canada routinely collects information on functional health and related concepts. Recently, the Washington Group on Disability Statistics (WG) measure of disability has been introduced to the Canadian Community Health Survey (CCHS). The WG measure is used as a tool for developing internationally comparable data on disability.
View Article and Find Full Text PDFA Dynamic Adaptive Ensemble Learning Framework for Noninvasive Mild Cognitive Impairment Detection: Development and Validation Study.
JMIR Med Inform
January 2025
School of Software, Taiyuan University of Technology, Jingzhong, China.
Background: The prompt and accurate identification of mild cognitive impairment (MCI) is crucial for preventing its progression into more severe neurodegenerative diseases. However, current diagnostic solutions, such as biomarkers and cognitive screening tests, prove costly, time-consuming, and invasive, hindering patient compliance and the accessibility of these tests. Therefore, exploring a more cost-effective, efficient, and noninvasive method to aid clinicians in detecting MCI is necessary.
View Article and Find Full Text PDFPerfusion estimation from dynamic non-contrast computed tomography using self-supervised learning and a physics-inspired U-net transformer architecture.
Int J Comput Assist Radiol Surg
January 2025
Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
Purpose: Pulmonary perfusion imaging is a key lung health indicator with clinical utility as a diagnostic and treatment planning tool. However, current nuclear medicine modalities face challenges like low spatial resolution and long acquisition times which limit clinical utility to non-emergency settings and often placing extra financial burden on the patient. This study introduces a novel deep learning approach to predict perfusion imaging from non-contrast inhale and exhale computed tomography scans (IE-CT).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!