Effects of peritoneal dialysis on protein metabolism.

Protein-energy wasting is relatively common in renal patients treated with haemodialysis or peritoneal dialysis (PD) and is associated with worse outcome. In this article, we review the current state of our knowledge regarding the effects of PD on protein metabolism and the possible interactions between PD-induced changes in protein turnover and the uraemia-induced alterations in protein metabolism. Available evidence shows that PD induces a new state in muscle protein dynamics, which is characterized by decreased turnover rates and a reduced efficiency of protein turnover, a condition which may be harmful in stress conditions, when nutrient intake is diminished or during superimposed catabolic illnesses. There is a need to develop more effective treatments to enhance the nutritional status of PD patients. New approaches include the use of amino acid/keto acids-containing supplements combined with physical exercise, incremental doses of intraperitoneal amino acids, vitamin D and myostatin antagonism for malnourished patients refractory to standard nutritional therapy.

Evaluation of metabolic acidosis in patients with a kidney graft: comparison of the bicarbonate-based and strong ion-based methods.

BACKGROUND: According to the traditional bicarbonate-based approach, metabolic acidosis is highly prevalent in kidney transplant recipients. However, the bicarbonate-based approach has been questioned by intensivists using strong ion difference-based methods. METHODS: We compared the results obtained by the strong ion-based with the traditional approach based on bicarbonate among a cohort of 83 kidney transplant recipients. RESULTS: Fifty-five percent of the patients were acidotic based on venous bicarbonate (<23 mmol/L) and 49% by the use of the effective strong ion difference (SID(effective)) (<37 mmol/L). Bicarbonate and SID(effective) were linearly correlated (r=0.94; P<.0001), with a slope close to 1. A greater percentage of patients presented with an increase in unexplained anions by the strong ion gap (SIG) than by the anion gap corrected (AG(corrected)) method (42 vs 32%, respectively). AG(corrected) and SIG were directly related (r=0.919; P<.0001), but the best fit of the relationship was polynomial with a progressively greater effect on SIG with increased AG(corrected), suggesting that as anions progressively accumulate, their detection by SIG increases. By multiple regression analysis, plasma chloride, potassium, uric acid, and phosphate predicted blood bicarbonate. Analogously, chloride, potassium and uric acid predicted SID(effective). Age was a predictor of changes in AG(corrected), whereas age and plasma urea predicted SIG. CONCLUSIONS: The use of the SID yielded results that were similar to the traditional bicarbonate-based approach. Conversely, SIG appeared to be more sensitive than AG for detection of anion accumulation among patients with a kidney graft.