Prediction Tool to Estimate Potassium Diet in Chronic Kidney Disease Patients Developed Using a Machine Learning Tool: The UniverSel Study.

There is a need for a reliable and validated method to estimate dietary potassium intake in chronic kidney disease (CKD) patients to improve prevention of cardiovascular complications. This study aimed to develop a clinical tool to estimate potassium intake using 24-h urinary potassium excretion as a surrogate of dietary potassium intake in this high-risk population. Data of 375 adult CKD-patients routinely collecting their 24-h urine were included to develop a prediction tool to estimate potassium diet. The prediction tool was built from a random sample of 80% of patients and validated on the remaining 20%. The accuracy of the prediction tool to classify potassium diet in the three classes of potassium excretion was 74%. Surprisingly, the variables related to potassium consumption were more related to clinical characteristics and renal pathology than to the potassium content of the ingested food. Artificial intelligence allowed to develop an easy-to-use tool for estimating patients' diets in clinical practice. After external validation, this tool could be extended to all CKD-patients for a better clinical and therapeutic management for the prevention of cardiovascular complications.

[Wasting in chronic kidney disease: Refeeding techniques and artificial nutrition practices]. / Dénutrition au cours des maladies rénales chroniques : techniques de renutrition et pratique de la nutrition artificielle.

Protein energy wasting (PEW) is an independent factor associated with morbi-mortality in chronic kidney disease. Wasting is particularly common in chronic diseases of organs such as kidney disease with a major impact at the stage of dialysis. It covers 20 to 70% of patients diagnosed with chronic kidney disease according to the degree of evolution of the disease and the diagnostic method used patients. Mechanisms of PEW are based mainly on anorexia and metabolic abnormalities caused by kidney disease. Nutritional treatment differs depending on the stage of the kidney disease acute or chronic treated whether or not by dialysis. Nutritional monitoring should be regular, individualized and collaborative to detect a risk of PEW or treat installed PEW. Refeeding techniques should allow all the nutritional needs. Their indications depend on the clinic, biochemical assessment and nutrient intake.

[Nutritional care and clinical improvement in a renal ward: a pilot multimodal approach]. / Soin nutritionnel et amélioration clinique dans un service de néphrologie: une approche pilote multidisciplinaire.

UNLABELLED: Malnutrition is an independent factor associated with morbi-mortality in chronic kidney disease. It is particularly common and may increase during hospitalization. OBJECTIVES: To measure nutritional and physical performance evolution as well as patients' physical autonomy during a hospitalization in a university hospital renal ward. Treatments were adjusted according to different diagnoses (nutritional care, body composition, physical activity) along with a multidisciplinary approach. In this way, it can show the impact of this care on nutritional status of the patient. DESIGN: Regardless of their nutritional status and kidney disease (acute or chronic kidney disease, chronic hemodialysis), patients were included at day 0, within 2 days from admission; nutritional interventions and measurements were assessed on day 7, day 14 and day 21. The study was run from December 2011 till June 2012, and 48 patients were included. RESULTS: On admission, patients had a low energy intake (20.9±8.6 kcal/kg/day). This intake was improved by means of a dietetic intervention (28.1±6.5 kcal/kg/day after two weeks of hospitalization, 29±6.1 kcal/kg/day after three weeks and 29±8.4 kcal/kg/day after four weeks). Seventy-three percent of the hospitalized patients were malnourished, among them 91% had a decreased serum albumin (26.8±6.6 g/L). Weight and muscle mass (measured by impedancemetry) were maintained, prealbumin increased by 16.5 mg/L after two weeks (n=48; P=0.61), 27.8 mg/L after three weeks (n=31; P=0.018), 52.3 mg/L after four weeks (n=13; P=0.002) and albuminemia by 1.8 g/L (n=13 patients monitoring four weeks; P=0.13). Both physical autonomy (assessed with Test moteur minimum) and muscle strength (Hand Grip Test) were significantly improved. CONCLUSION: A systematic screening of wasting and a multidisciplinary care improved nutritional status and physical ability of patients hospitalized in a renal ward.