Assessment Criteria to Diagnose Malnutrition (Undernutrition and Overnutrition) in Hemodialysis Patients.

OBJECTIVE: This study aimed to determine if adapted Global Leadership Initiative on Malnutrition (GLIM) criteria can diagnose overnutrition, in addition to undernutrition, in hemodialysis patients. Additionally, it compared the adapted GLIM criteria with the subjective global assessment (SGA) for diagnosing undernutrition. METHODS: A cross-sectional, descriptive study design with an analytical component was utilized. An interviewer-administered questionnaire was completed with 116 adult participants from 2 public renal units in Cape Town. Data collection included demographic, medical, and anthropometric information, incorporating the established SGA tool and the adapted GLIM criteria. RESULTS: Of the participants, 58% were female, with a mean age of 41.04 years (SD 10.6). The primary causes of renal failure were hypertension (38%) and glomerular disease (33%). The median weight was 64.74 kg (IQR 16.4), and the mean body mass index (BMI) was 25.44 kg/m2 (SD 4.66). The prevalence of obesity was 20%, and undernutrition was 4% by BMI. Participants from Groote Schuur Hospital had a higher mean BMI (26.40, SD 4.9) than those from Tygerberg Hospital (P = .0033). Abdominal obesity prevalence was 51%, with a mean waist circumference of 87.06 cm (SD 11.37). Using SGA parameters, undernutrition prevalence was 26%, with all classified as SGA-B, compared to 22% by adapted GLIM. Adapted GLIM classified 69.83% as malnourished (overnutrition 47% and undernutrition 22%). For undernutrition, the adapted GLIM had a sensitivity of 75% (CI 64.04, 85.96), specificity of 77.78% (CI 67.26, 88.3), positive predictive value of 69.23% (CI 57.55, 80.91), and negative predictive value of 82.35% (CI 72.71, 92.00). Among those diagnosed with overnutrition by adapted GLIM, 89% were classified as well-nourished by SGA. CONCLUSION: The adapted GLIM criteria effectively assessed overnutrition as well as undernutrition in hemodialysis patients. It identified a significant proportion of patients misclassified as well-nourished by SGA who were actually overnourished. The adapted GLIM showed good sensitivity and specificity for diagnosing undernutrition in this population.

New Insights Into Dietary Approaches to Potassium Management in Chronic Kidney Disease.

Potassium disorders are one of the most common electrolyte abnormalities in patients with chronic kidney disease (CKD), contributing to poor clinical outcomes. Maintaining serum potassium levels within the physiologically normal range is critically important in these patients. Dietary potassium restriction has long been considered a core strategy for the management of chronic hyperkalemia in patients with CKD. However, this has been challenged by recent evidence suggesting a paradigm shift toward fostering more liberalized, plant-based dietary patterns. The advent of novel potassium binders and an improved understanding of gastrointestinal processes involved in potassium homeostasis (e.g., gastrointestinal potassium wasting) may facilitate a paradigm shift and incorporation of heart-healthy potassium-enriched food sources. Nevertheless, uncertainty regarding the risk-benefit of plant-based diets in the context of potassium management in CKD remains, requiring well-designed clinical trials to determine the efficacy of dietary potassium manipulation toward improvement of clinical outcomes in patients with CKD.

Mobile health apps: An assessment of needs, perceptions, usability, and efficacy in changing dietary choices.

OBJECTIVE: The aim of this study was to explore the use of mobile health applications as dietary self-monitoring tools, and their possible role in improving food choices. METHODS: This descriptive, cross-sectional study used self-administered surveys conducted among students (aged 18-25 y) and consisted of two phases. Phase 1 (N = 991; 65.9% women; mean age: 20.78 ± 1.51 y) assessed the need for and perceptions of mobile health applications to serve as dietary assessment tools. Phase 2 (N = 61; 75.4% women) comprised a 3-wk period of using MyFitnessPal; its corresponding survey assessed the application's usability and perceived efficacy in changing dietary choices. Dietary Instrument for Nutrition Education scores (part of both surveys), assessing dietary intake, were compared using a paired t test. P < 0.05 was considered statistically significant. RESULTS: Most participants wanted to improve their diet to be healthier (89.7%) and to improve their weight (74.2%), and actively searched for information on how to accomplish this (55.7%). MyFitnessPal was reported to be easy to use (93.4%); however, difficulties were experienced in the selection of food items (39.3%) and portion sizes (63.9%). Users reported that MyFitnessPal helped them change their dietary intake (91.8%) and advance toward their personal weight and health goals (65.6%). A significant reduction in high-sugar food intake after the use of MyFitnessPal (P = 0.03) was found. CONCLUSION: Most participants searched for information on how to improve their diet. MyFitnessPal, a mobile health app with a diet-tracking feature, was reported to be helpful in changing dietary intake; furthermore, use of the application over a 3-wk period led to a significant reduction in sugary food intake.

Taxation of sugar-sweetened beverages in South Africa: Perspectives of consumers in Cape Town.

Background: Globally, fiscal measures are deemed effective in combating the obesity epidemic at population level. A health promotional levy (HPL) on sugar sweetened beverages (SSBs) was implemented in April 2018 in South Africa to reduce sugar consumption. Design and methods: This cross-sectional, descriptive study investigated consumers' understanding and opinion of the HPL, and impact on consumption of SSBs. Data was collected outside 15 grocery stores, within four health sub-districts of the City of Cape Town. An interviewer-administered questionnaire was completed with literate, adult consumers (N = 696). Results: Participants (46.0%) were aware of the HPL but regarded it insufficient to change purchasing behaviour (55.4%). The lower income group (56.4%) was most affected by the increased price of SSBs. Those who agreed (46.8%) that the levy would help to reduce the prevalence of obesity was significantly more likely to notice a price increase in SSBs (54.5%) (p < 0.01) and had a higher education level (p < 0.01). Overall, self-reported consumption of SSBs decreased by 7.7% since the HPL was enacted. Participants who were aware of the detrimental effect of consuming large amounts of sugar, were more likely to change their behaviour (p < 0.01). Conclusions: Participants were receptive for legislative measures to combat the prevalence of obesity but lacked clarity of the goal and implementation of the HPL. A multipronged approach is crucial to lower sugar intake sustainably and an environment which offers healthy alternatives to SSBs. A higher HPL combined with transparency of how revenue is utilised could enhance the impact of the sugar tax strategy.

The Effect of ß-Glucan Prebiotic on Kidney Function, Uremic Toxins and Gut Microbiome in Stage 3 to 5 Chronic Kidney Disease (CKD) Predialysis Participants: A Randomized Controlled Trial.

There is growing evidence that gut dysbiosis contributes to the progression of chronic kidney disease (CKD) owing to several mechanisms, including microbiota-derived uremic toxins, diet and immune-mediated factors. The aim of this study was to investigate the effect of a ß-glucan prebiotic on kidney function, uremic toxins and the gut microbiome in stage 3 to 5 CKD participants. Fifty-nine participants were randomized to either the ß-glucan prebiotic intervention group (n = 30) or the control group (n = 29). The primary outcomes were to assess kidney function (urea, creatinine and glomerular filtration rate), plasma levels of total and free levels of uremic toxins (p-cresyl sulfate (pCS), indoxyl-sulfate (IxS), p-cresyl glucuronide (pCG) and indoxyl 3-acetic acid (IAA) and gut microbiota using 16S rRNA sequencing at baseline, week 8 and week 14. The intervention group (age 40.6 ± 11.4 y) and the control group (age 41.3 ± 12.0 y) did not differ in age or any other socio-demographic variables at baseline. There were no significant changes in kidney function over 14 weeks. There was a significant reduction in uremic toxin levels at different time points, in free IxS at 8 weeks (p = 0.003) and 14 weeks (p < 0.001), free pCS (p = 0.006) at 14 weeks and total and free pCG (p < 0.001, p < 0.001, respectively) and at 14 weeks. There were no differences in relative abundances of genera between groups. Enterotyping revealed that the population consisted of only two of the four enterotypes: Bacteroides 2 and Prevotella. The redundancy analysis showed a few factors significantly affected the gut microbiome: these included triglyceride levels (p < 0.001), body mass index (p = 0.002), high- density lipoprotein (p < 0.001) and the prebiotic intervention (p = 0.002). The ß-glucan prebiotic significantly altered uremic toxin levels of intestinal origin and favorably affected the gut microbiome.

Obesity and Other Nutrition Related Abnormalities in Pre-Dialysis Chronic Kidney Disease (CKD) Participants.

Chronic kidney disease (CKD) is increasing in sub-Saharan Africa. Undernutrition has been prevalent amongst end stage CKD patients, with limited data on the prevalence of obesity. The aim of this study was to assess the nutritional status of CKD patients using various methods sensitive to over and under-nutrition. Stage 3 to 5 CKD patients (glomerular filtration rate (GFR) < 60 mL/min/1.73 m2) attending a pre-dialysis clinic in Cape Town, were enrolled. Exclusion criteria included infectious and autoimmune conditions. Sociodemographic, clinical and biochemical data were collected, and anthropometric measurements were performed. Dietary intake was measured with a quantified food frequency questionnaire (FFQ). Statistical Package for the Social Sciences (SPSS) version 26 was used for statistical analysis. Seventy participants, with mean age of 41.8 ± 11.8 years, 52.9% females and 47.1% males were enrolled. Participants enrolled mainly had stage 5 kidney failure. Thirty percent were overweight (21) and 25 (36%) were obese, 22 (60%) of females were overweight and obese, while 13 (39.4%) of males were predominantly normal weight. Abdominal obesity was found in 42 (60%) of participants, mainly in females. Undernutrition prevalence was low at 3%. Dietary assessment showed a high sugar and protein intake. There was a high prevalence of overweight, obesity and abdominal obesity in CKD stage 35 patients, with unhealthy dietary intake and other nutritional abnormalities.