ArticleIndian journal of nephrology
Comparative Analysis of Tools for Assessment of Protein-Energy Wasting in Chronic Kidney Disease Patients on Maintenance Hemodialysis.
Article in Indian journal of nephrology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Predictive Models for Hypoglycemia Risk in Haemodialysis Patients With Diabetic Kidney Disease: Systematic Review and Meta-Analysis.Journal of clinical nursing · 2026Pooled it
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Patients with chronic kidney disease have muscle wasting, sarcopenia, and cachexia that contribute to frailty and morbidity. The present study assessed the prevalence of protein-energy wasting in dialysis-dependent chronic kidney disease population and evaluated the validity of various nutritional assessment tools in diagnosing protein-energy wasting. Materials and Methods: All patients above 18 years undergoing dialysis for more than 3 months without any active infection or malignancy were included in our study. Data from anthropometric measurements, dietary assessment, and blood investigations were collected. Protein-energy wasting was assessed by the International Society of Renal Nutrition and Metabolism 2008 criteria. Diagnostic validity of the nutritional assessment tools to predict protein-energy wasting was estimated by area under the curve, sensitivity, specificity, and accuracy statistics. Results: A total of 146 patients were studied. The prevalence of protein-energy wasting was 56.8%. Protein-energy wasting was significantly associated with socioeconomic status, hospitalization days, and catheter days. Normalized protein catabolism rate had the highest sensitivity (90.4%) for predicting protein-energy wasting. Malnutritional inflammatory score had the highest area under the curve (0.858), specificity (82.5%), and accuracy (82.2%). Mid-upper arm circumference, Dialysis Malnutrition Score, and albumin were also found to be significant predictors of protein-energy wasting. Conclusion: Lack of advanced equipment in suburban and rural centers to detect protein-energy wasting in India can be overcome by using the various stand-alone and combination nutrition assessment tools which have been validated in the present study.
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