ArticleNutrients2019
Malnutrition-Inflammation Score VS Phase Angle in the Era of GLIM Criteria: A Cross-Sectional Study among Hemodialysis Patients in UAE.
Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Global leadership initiative on malnutrition criteria using different muscle mass assessment methods in hemodialysis patients: Links to physical performance, quality of life, and clinical outcomes.European journal of clinical nutrition · 2026Article
- Phase angle as a predictor of nutritional status and quality of life in hemodialysis patients.PloS one · 2026Article
- The association of Malnutrition-Inflammation Score with sleep quality and mental health in hemodialysis patients: a multicenter cross-sectional study.BMC nephrology · 2025Article
- The value of the phase angle of bioelectrical impedance analysis to predict malnutrition in hemodialysis patients.Frontiers in nephrology · 2025Article
- Predictive classification and regression models for bioimpedance vector analysis: Insights from a southern Cuban cohort.Journal of electrical bioimpedance · 2025Article
- Phase Angle Predicts Malnutrition Risk and 6-month Mortality in Older Patients with Multimorbidity: A Retrospective Study.Clinical interventions in aging · 2025Article
- Novel bioparameters derived from bioimpedance measurements for accurate prediction of weight status in infant-juvenile individuals: A regression analysis.Journal of electrical bioimpedance · 2025Article
- The association Malnutrition-Inflammation Score with chronic kidney disease-associated pruritus and quality of life in hemodialysis patients: a multicenter cross-sectional study.Scientific reports · 2024Article
- GLIM criteria for definition of malnutrition in peritoneal dialysis: a new aspect of nutritional assessment.Renal failure · 2024Article
- The Cantabria Cohort, a protocol for a population-based cohort in northern Spain.BMC public health · 2023Article
- Development and Assessment of Assisted Diagnosis Models Using Machine Learning for Identifying Elderly Patients With Malnutrition: Cohort Study.Journal of medical Internet research · 2023Observational
- Article
- Nutrition Situation Analysis in the UAE: A Review Study.Nutrients · 2023Review
- The triglyceride-glucose index as a novel marker associated with sarcopenia in non-diabetic patients on maintenance hemodialysis.Renal failure · 2022Article
- Patient and Staff Perceptions on Using Bioelectrical Impedance Analysis in an Outpatient Haemodialysis Setting: A Qualitative Descriptive Study.Healthcare (Basel, Switzerland) · 2022Article
- Predicational ability of phase angle on protein energy wasting in kidney disease patients with renal replacement therapy: A cross-sectional study.Food science & nutrition · 2021Article
- A Cross-Sectional Study of GLIM-Defined Malnutrition Based on New Validated Calf Circumference Cut-off Values and Different Screening Tools in Hospitalised Patients over 70 Years Old.The journal of nutrition, health & aging · 2020Article
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4 authors.
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Abstract
(1) Background: Malnutrition is prevalent in hemodialysis (HD) patients and is associated with an increased risk of morbidity and mortality. The aim of this study was to explore the prevalence of malnutrition using the malnutrition-inflammation score (MIS) and phase angle (PhA) and compare their concordance with the new Global Leadership Initiative on Malnutrition (GLIM) criteria for the diagnosis of malnutrition. (2) Methods: Seventy HD patients were assessed. Malnutrition was diagnosed based on the GLIM criteria and MIS questionnaire. The agreement between the diagnostic tools (MIS, PhA derived from the bioelectrical impedance analysis (BIA), and GLIM criteria) was assessed. The optimal gender-specific cutoff points were identified for the PhA according to the GLIM criteria. (3) Results: Almost half of the sample was diagnosed as malnourished according to the MIS (48.57%) and GLIM criteria (54.29%). A fair agreement was observed between the GLIM criteria, MIS (k = 0.202), and PhA (k = 0.279) among the malnourished patients. The PhA had better sensitivity but worse specificity compared to the MIS. The optimum cutoff points of PhA to detect malnutrition according to the GLIM criteria were a PhA value of ≤5.7° for males and ≤3.8° for females. (4) Conclusion: The MIS performed slightly better than PhA in the diagnosis of malnutrition among HD patients within the spectrum of the GLIM criteria.
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