Background: Sarcopenia is associated with clinical complications that increase mortality in older adults. Current screening tools, such as Sarc-F and Sarc-CalF, focus primarily on muscular performance but have limited sensitivity in identifying elderly individuals at risk of sarcopenia. The present study aims to develop a more comprehensive sarcopenia risk screening tool, Sarc-Global, which integrates additional anthropometric and clinical variables to enhance the sensitivity and accuracy of sarcopenia risk assessment in older adults.

Methods: The aim of this cross-sectional study was to develop a sarcopenia risk screening tool, named Sarc-Global, with enhanced sensitivity, incorporating factors pertinent to the overall health of elderly individuals. Utilizing the criteria established by EWGSOP2 for diagnosing sarcopenia, we evaluated 395 community-dwelling elderly individuals. This evaluation served as a reference for assessing the efficacy of two validated questionnaires, Sarc-F and Sarc-CalF, and our newly developed Sarc-Global.

Results: Multiple logistic regression revealed that Sarc-Global integrates variables such as sex, age, medication use, body mass index, arm circumference, and handgrip strength, which are significantly associated with sarcopenia (p<0.001). When combined with Sarc-CalF, these variables form the basis of the Sarc-Global model. In screening for sarcopenia risk, Sarc-Global demonstrated superior accuracy, specificity, and sensitivity (74%), outperforming Sarc-F (21%) and Sarc-CalF (34%).

Conclusion: Sarc-Global proves to be an effective tool for identifying elderly individuals at risk of sarcopenia.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.nut.2024.112654DOI Listing

Publication Analysis

Top Keywords

screening tool
12
elderly individuals
12
sarcopenia risk
12
older adults
8
sarc-f sarc-calf
8
risk screening
8
sarc-global integrates
8
sarcopenia
7
sarc-global
4
sarc-global sarcopenia
4

Similar Publications

Development and Application of a Fully Automated Chemiluminescence Enzyme Immunoassay for the Detection of Antibodies Against Porcine Circovirus 3 Cap.

Viruses

December 2024

State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Center for Swine Breeding Industry, College of Animal Science, South China Agricultural University, Guangzhou 510642, China.

Porcine circovirus 3 (PCV3) is a small non-enveloped circovirus associated with porcine dermatitis and nephropathy syndrome (PDNS). It has occurred worldwide and poses a serious threat to the pig industry. However, there is no commercially available vaccine.

View Article and Find Full Text PDF

Cancer continues to represent a substantial burden in terms of its morbidity and mortality, underscoring the imperative for the development of novel and efficacious treatment modalities. Recent advances in cancer immunotherapy have highlighted the importance of identifying tumour-specific antigens, which can assist the immune system in targeting malignant cells effectively. Phage display technology has emerged as an effective tool for the discovery of novel antigens through cDNA library screening, representing a significant advancement in the field of immunological research.

View Article and Find Full Text PDF

Wearable Solutions Using Physiological Signals for Stress Monitoring on Individuals with Autism Spectrum Disorder (ASD): A Systematic Literature Review.

Sensors (Basel)

December 2024

REMIT (Research on Economics, Management and Information Technologies), IJP (Instituto Jurídico Portucalense), Universidade Portucalense, Rua Dr. António Bernardino de Almeida, 541-619, 4200-072 Porto, Portugal.

Some previous studies have focused on using physiological signals to detect stress in individuals with ASD through wearable devices, yet few have focused on how to design such solutions. Wearable technology may be a valuable tool to aid parents and caregivers in monitoring the emotional states of individuals with ASD who are at high risk of experiencing very stressful situations. However, effective wearable devices for individuals with ASD may need to differ from solutions for those without ASD.

View Article and Find Full Text PDF

Knowledge Graph-Based In-Context Learning for Advanced Fault Diagnosis in Sensor Networks.

Sensors (Basel)

December 2024

Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, China.

This paper introduces a novel approach for enhancing fault diagnosis in industrial equipment systems through the application of sensor network-driven knowledge graph-based in-context learning (KG-ICL). By focusing on the critical role of sensor data in detecting and isolating faults, we construct a domain-specific knowledge graph (DSKG) that encapsulates expert knowledge relevant to industrial equipment. Utilizing a long-length entity similarity (LES) measure, we retrieve relevant information from the DSKG.

View Article and Find Full Text PDF

The use of Raman spectroscopy, particularly surface-enhanced Raman spectroscopy (SERS), offers a powerful tool for analyzing biochemical changes in biofluids. This study aims to assess the modifications occurring in saliva collected from patients before and after exposure to cone beam computed tomography (CBCT) and computed tomography (CT) imaging. SERS analysis revealed significantly amplified spectra in post-imaging samples compared to pre-imaging samples, with pronounced intensification of thiocyanate and opiorphin bands, which, together with proteins, dominated the spectra.

View Article and Find Full Text PDF

Want 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!