article · Kidney International Reports
This study evaluated the nutritional status of patients receiving maintenance haemodialysis before and after a nine-month structured nutritional education programme delivered by a qualified nutritionist. The intervention involved monthly audio-visual sessions focused on managing dietary phosphate and potassium whilst increasing protein intake. Patient status was monitored using Subjective Global Assessment scores. Baseline results indicated that older age and comorbidities such as diabetes and chronic obstructive pulmonary disease were strongly linked to poorer initial nutritional status. Over the nine months, the educational programme led to notable improvements, particularly in patients who initially presented with moderate nutritional impairment, where over eighty percent improved and moved into the mild category. For patients with mild impairment, over half maintained their status and nearly a quarter improved. However, intercurrent illnesses and frequent hospital admissions hindered progress or caused deterioration in some individuals.
Malnutrition is a common and serious challenge for people undergoing regular kidney dialysis. This research shows that regular, structured nutritional guidance using audio-visual tools can significantly improve patient health, particularly for those with moderate deficiencies. It highlights that dietary support is a valuable non-pharmacological care component, although managing underlying illnesses remains essential to ensure sustained benefits.
The findings support the development and adoption of structured, audio-visual dietary education programmes and digital nutrition-coaching platforms tailored for dialysis clinics and renal care providers. While the clinical intervention itself is tested and applied, commercialisation would require packaging the curriculum into standardised software or training services for healthcare institutions. The abstract indicates a clear operational model for clinical deployment but does not detail intellectual property or existing commercial products.
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artery disease and COPD) were recorded.Independent t-tests compared averages for age and duration of dialysis, while Chi-square tests compared percentages for other parameters.Structured nutritional education was provided by a qualified nutritionist, and patients were followed for 9 months.Education included audio-visual education every 30 days, with availability for interim clarifications.The program emphasized managing phosphate and potassium levels and strategies to increase protein intake.At the end of the 9-month period, SGA scores were recalculated and compared between the two groups.Results: Older age and higher prevalence of comorbid conditions like diabetes and COPD were the influencers significantly associated with worse nutritional status.Gender distribution, duration of dialysis, dialysis frequency, and other comorbidities did not significantly influence SGA score categorization.Changes in SGA scores after 9 months were considered As same if score was Æ 1 from initial score.As improved if score $ 2 from initial score And as deteriorated if score # 2 from initial score and classified into two groups: a) stayed within the group, b) shifted to the moderate group Following 9 months of structured nutritional education: Mild Group: 52% maintained SGA scores 22% improved, mean score change of 2.35 (range 2-4) 15.63% deteriorated within mild range, mean change of 2.5 (range 2-5) 10.37% shifted to moderate range, mean change of 5.7 (range 3-7), but only 2 points above the midrange in each case Moderate Group: 16.67% maintained scores 83.3% improved, mean score change of 9.15 (range 5-16), all shifting to mild rangePatients deteriorating or lacking improvement had frequent admissions due to intercurrent illnesses.Conclusions: The elderly, and patients with type 2 diabetes mellitus and COPD and those with > 2 comorbidities significantly affected SGA score categorization.SGA scores improve with structured nutritional education but intercurrent illnesses prevent improvement and may worsen SGA scores.I have no potential conflict of interest to disclose.I did not use generative AI and AI-assisted technologies in the writing process.
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DOI: 10.1016/j.ekir.2024.11.692
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