Background: Malnutrition is a prevalent complication in patients on maintenance hemodialysis. Nutritional screening tools may be useful to identify those patients at nutritional risk from among hundreds of hemodialysis patients in a large facility. Objective: We tested several simplified nutritional screening tools on hemodialysis patients to validate the potential application of the tools. Design: The simplified nutritional screening tools were chosen from references published between 1985 and 2005. Nutritional assessments, including history taking, and anthropometric and biochemical measurements were performed on 422 hemodialysis patients. These results were applied to obtain the score of each nutritional screening tool and the malnutrition-inflammation score (MIS), a comprehensive nutritional assessment tool, as the reference standard. The usefulness of each nutritional screening tool for identifying nutritional risk was assessed by comparison with the MIS value and various individual nutritional measures. Results: Five reliable nutritional screening tools were found by the literature search. Among them, the geriatric nutritional risk index (GNRI) was considered to be the most accurate in identifying hemodialysis patients at nutritional risk, because the area under the receiver operating characteristic curve generated with the MIS value was the largest. The GNRI showed a significantly negative correlation with the MIS (r ҃ Ҁ0.67, P 0.0001), and the most accurate GNRI cutoff to identify a malnourished patient according to the MIS was 91.2. The GNRI's sensitivity, specificity, and accuracy of 91.2 in predicting malnutrition according to the MIS were 0.730, 0.819, and 0.787, respectively. Conclusion: The GNRI was the simplest and most accurate risk index for identifying hemodialysis patients at nutritional risk according to the MIS.Am J Clin Nutr 2008;87:106 -13.
These data indicate that haemodialysis patients exhibited a visceral fat accumulation irrespective of BMI, and this shift of abdominal adiposity might be associated with disturbance of the serum lipid profile in non-diabetic haemodialysis patients.
Background: β2-Microglobulin (β2MG) and carbonyl stress are reported to contribute to the development of dialysis-related amyloidosis. The aim of this study was to determine whether the purity of dialysate affects plasma levels of β2MG and pentosidine (a surrogate marker of carbonyl stress) in hemodialysis patients. Methods: Sixteen patients on hemodialysis with a polysulfone membrane participated in this study. We switched the dialysate from conventional dialysate (endotoxin level 0.055–0.066 endotoxin units (EU)/ml) to ultrapure dialysate (endotoxin level <0.001 EU/ml), followed patients for 6 months, and then switched back to conventional dialysate once again. Plasma levels of β2MG, pentosidine, CRP and interleukin-6 (IL-6) were determined before the switch to ultrapure dialysate, 1 and 6 months after the switch to ultrapure dialysate, and 1 month after the switch back to conventional dialysate. Results: The switch from conventional to ultrapure dialysate significantly decreased plasma levels of β2MG, from 30.1 ± 1.4 to 27.1 ± 1.4 mg/dl (p < 0.05) and pentosidine, from 1,535.8 ± 107.5 to 1,267.6 ± 102.9 nmol/l (p < 0.01) after 1 month of use. The change of dialysate also significantly decreased plasma levels of CRP, from 0.28 ± 0.09 to 0.14 ± 0.05 mg/dl (p < 0.05) and IL-6, from 9.4 ± 2.7 to 3.5 ± 0.8 pg/ml (p < 0.01) over the 1-month period. These changes in plasma levels of β2MG, pentosidine, CRP and IL-6 were maintained over 6 months after switching to ultrapure dialysate and returned to basal levels by switching back to a conventional dialysate. Conclusions: Ultrapure dialysate decreases plasma levels of β2MG, pentosidine and inflammatory markers in hemodialysis patients. The use of ultrapure dialysate might be useful in preventing and/or treating complications of dialysis, such as dialysis-related amyloidosis, atherosclerosis and malnutrition.
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