Published in:
01-01-2019 | Nephrology - Original Paper
The predictive value of malnutrition for functional and cognitive status in elderly hemodialysis patients
Published in: International Urology and Nephrology | Issue 1/2019
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Objective
The study aims to objectively and precisely describe, in elderly dialysis patients from a single center, the prevalence of malnutrition and severe cognitive/functional impairment and to establish the prognostic role of malnutrition assessment for patient’s severe cognitive/functional status.
Design
Cross-sectional study.
Setting
A single dialysis center from north-eastern Romania.
Subjects
Eighty-one elderly ambulatory hemodialysis patients.
Intervention
The aim of the study was to establish in hemodialysis elderly patients a correlation between two malnutrition scores [Mini Nutritional Assessment (MNA) and Subjective Global Assessment (SGA)] and geriatric tests (Geriatric Depression Scale—GDS), daily activities (Activities of Daily Living—ADL, Instrumental Activities of Daily Living—IADL), and cognitive impairment scores (Mini Mental State Examination—MMSE). A correlation between objective malnutrition parameters (bioimpedance lean tissue index (LTI) and fat tissue index (FTI) by bioimpedance) was also assessed.
Main outcome measure
Using area under the curve analysis, two malnutrition scores and bioimpedance assessed nutritional status were explored as possible predictors for the most severe category of functional and cognitive status.
Results
All patients had mild/moderate malnutrition by SGA, while the MNA test reported malnutrition in 14.5%, and 58% of cases. There was no correlation between subjective scores and objective biomarkers of malnutrition (albumin levels, bioimpedance-derived LTI, FTI). ROC curve analysis showed that MNA and SGA predict the most severe category of depression and functional impairment with relatively good accuracy (specificity, sensibility).
Conclusion
The study confirms the important correlation between malnutrition and cognitive/functional impairment and confirms that malnutrition scores could be useful in predicting depression and physical dependance in elderly dialysis patients.