98%
921
2 minutes
20
Handgrip strength (HGS) is suggested as an indirect assessment of nutritional status in chronic kidney disease (CKD) patients, but evidence is limited for non-dialysis-dependent CKD (NDD-CKD) patients. This cross-sectional study included 404 patients from the Phase II KoreaN Cohort Study for Outcome in Patients With CKD. HGS, measured twice in each hand, was the exposure, and malnutrition status was defined by a malnutrition-inflammation score (MIS) of 6 or higher. A logistic regression analysis adjusted for age, sex, diabetes mellitus (DM), hypertension, CKD stages, smoking, overhydration, education, and income status was used to assess malnutrition risk. The predictability of HGS for malnutrition was evaluated using the area under the curve (AUC). Patients with lower HGS were older, had a higher prevalence of DM, and lower estimated glomerular filtration rate. Higher HGS was significantly associated with lower malnutrition risk after adjustment (per 1 standard deviation increase, adjusted odds ratio, 0.47 [0.30-0.75]). Subgroup analyses showed no significant interaction between HGS and malnutrition risk across age, sex, DM, and CKD stage. HGS showed fair predictability for malnutrition in men (AUC 0.64 [0.46-0.83]) and women (AUC 0.71 [0.55-0.86]). In conclusion, HGS is a useful diagnostic indicator of malnutrition in NDD-CKD patients.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11314453 | PMC |
http://dx.doi.org/10.3390/nu16152442 | DOI Listing |
Clin Nutr ESPEN
September 2025
Department of Epidemiology, University of Iowa, Iowa City, IA.
Background & Aims: People with multiple sclerosis (MS) may be predisposed to malnutrition as several malnutrition risk factors are common among this group; however, evidence on malnutrition in MS is sparse. Therefore, the aim of the present study is to explore what is known about malnutrition in MS.
Methods: A scoping review was performed in 5 databases (Ovid Medline, Embase, Cochrane Central, Scopus, and the Web of Science Core Collection) in February 2024.
Nutr Clin Pract
September 2025
Nutrition Department, Faculty of Medicine, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.
Background: Early diagnosis of malnutrition is essential for rapid decision-making regarding nutrition care to improve patient outcomes. We aimed to evaluate the prevalence of malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess the association of GLIM with 1-year mortality and length of hospital stay (LOS) in patients admitted to an emergency department (ED).
Methods: Prospective cohort study conducted in the ED of a university hospital.
Eur J Nutr
September 2025
Nutritional Biomarker Laboratory, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Background: The UK has a high and increasing prevalence of folate deficiency. The decision to start mandatory folic acid fortification has not yet been implemented. Concern has been raised about the effect of high folate on vitamin B12 status.
View Article and Find Full Text PDFEur J Orthop Surg Traumatol
September 2025
University Hospitals of Cleveland, Cleveland, United States.
Purpose: The purpose of this study was to investigate the association between preexisting vitamin D deficiency and the development of complex regional pain syndrome (CRPS) in patients with isolated extremity fractures.
Methods: The TriNetX database was queried to identify patients aged 18 and older who experienced upper or lower extremity fractures. Two cohorts were created based on the presence of vitamin D deficiency.
J Dent
September 2025
Department of Dentistry and Oral Health, Aarhus University, Vennelyst Boulevard 9 - DK-8000 Aarhus C - Aarhus, Denmark. Electronic address:
Objectives: To examine bidirectional associations between dental caries and body mass index (BMI) among adolescents living in vulnerable communities in Brazil.
Methods: In a cohort study involving adolescents (n=323), BMI, number of decayed teeth and odontogenic infections (PUFA/pufa index) were recorded at three time points between 12 and 15 years of age. Trajectories of dental caries, odontogenic infections, and BMI were developed using group-based trajectory modelling.