{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T16:16:43Z","timestamp":1791908203711,"version":"4.3.4"},"reference-count":21,"publisher":"Scientific Scholar","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"Abstract<\/jats:title>\n \n Background:<\/jats:title>\n 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\u2013energy wasting in dialysis-dependent chronic kidney disease population and evaluated the validity of various nutritional assessment tools in diagnosing protein\u2013energy wasting.<\/jats:p>\n <\/jats:sec>\n \n Materials and Methods:<\/jats:title>\n 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\u2013energy wasting was assessed by the International Society of Renal Nutrition and Metabolism 2008 criteria. Diagnostic validity of the nutritional assessment tools to predict protein\u2013energy wasting was estimated by area under the curve, sensitivity, specificity, and accuracy statistics.<\/jats:p>\n <\/jats:sec>\n \n Results:<\/jats:title>\n A total of 146 patients were studied. The prevalence of protein\u2013energy wasting was 56.8%. Protein\u2013energy 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\u2013energy 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\u2013energy wasting.<\/jats:p>\n <\/jats:sec>\n \n Conclusion:<\/jats:title>\n Lack of advanced equipment in suburban and rural centers to detect protein\u2013energy 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.<\/jats:p>\n <\/jats:sec>","DOI":"10.4103\/ijn.ijn_57_23","type":"journal-article","created":{"date-parts":[[2023,10,30]],"date-time":"2023-10-30T06:00:56Z","timestamp":1698645656000},"source":"Crossref","is-referenced-by-count":4,"title":["Comparative Analysis of Tools for Assessment of Protein\u2013Energy Wasting in Chronic Kidney Disease Patients on Maintenance Hemodialysis"],"prefix":"10.25259","author":[{"given":"Harish","family":"Sivagnanam","sequence":"first","affiliation":[{"name":"Department of Nephrology, Tirunelveli Medical College and 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