ArticleNutrients2023
An Exploratory Study on a New Method for Nutritional Status Assessment in Patients with Chronic Kidney Disease.
Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 11 citations in OpenAlex.
- Development and Validation of a Risk-Prediction Nomogram for Nutritional Risk in Non-Dialysis Chronic Renal Failure Patients.Risk management and healthcare policy · 2026Article
- Article
- Assessment of malnutrition risk and analysis of influencing factors in patients with chronic kidney disease: A cross-sectional survey.BMC nutrition · 2025Article
- Lower phase angle as a marker for poor prognosis in patients with chronic kidney disease: a cohort study.Frontiers in nutrition · 2025Article
- Effectiveness of CONUT and NRI as nutritional risk screening tools in peritoneal dialysis: a multicenter study.Frontiers in nutrition · 2025Article
- Endotracheal intubation-related oral mucosal membrane pressure injuries: a narrative review of biomechanical insights, biomaterial optimization, and intelligent monitoring.Frontiers in medical technology · 2025Review
- The value of the phase angle of bioelectrical impedance analysis to predict malnutrition in hemodialysis patients.Frontiers in nephrology · 2025Article
- Validity and applicability of the global leadership initiative on malnutrition criteria in non-dialysis patients with chronic kidney disease.Frontiers in nutrition · 2024Article
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Authors and funding
18 authors at 2 institutions in 1 country.
Funding
Abstract
Malnutrition is a risk factor for disease progression and poor prognosis in chronic kidney disease (CKD). However, the complexity of nutritional status assessment limits its clinical application. This study explored a new method of nutritional assessment in CKD (stage 1-5) patients using the Subjective Global Assessment (SGA) as the gold standard and evaluated its applicability. The kappa test was used to analyze the consistency of the Renal Inpatient Nutrition Screening Tool (Renal iNUT) with SGA and protein-energy wasting. Logistic regression analysis was used to analyze the risk factors of CKD malnutrition and calculate the prediction probability of multiple indicators combined for the diagnosis of CKD malnutrition. The receiver operating characteristic curve of the prediction probability was drawn to evaluate its diagnostic efficiency. A total of 161 CKD patients were included in this study. The prevalence of malnutrition according to SGA was 19.9%. The results showed that Renal iNUT had a moderate consistency with SGA and a general consistency with protein-energy wasting. Age > 60 years (odds ratio, OR = 6.78), neutrophil-lymphocyte ratio > 2.62 (OR = 3.862), transferrin < 200 mg/dL (OR = 4.222), phase angle < 4.5° (OR = 7.478), and body fat percentage < 10% (OR = 19.119) were risk factors for malnutrition in patients with CKD. The area under the receiver operating characteristic curve of multiple indicators for the diagnosis of CKD malnutrition was 0.89 (95% confidence interval: 0.834-0.946,
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