The transport of phosphate between the plasma and dialysate compartments in peritoneal dialysis is influenced by an electric potential difference

Roles of peritoneal clearance and residual kidney removal in control of uric acid in patients on peritoneal dialysis

BACKGROUND

There have been few systematic studies regarding clearance of uric acid (UA) in patients undergoing peritoneal dialysis (PD). This study investigated peritoneal UA removal and its influencing factors in patients undergoing PD.

METHODS

This cross-sectional study enrolled patients who underwent peritoneal equilibration test and assessment of Kt/V from April 1, 2018 to August 31, 2019. Demographic data and clinical and laboratory parameters were collected, including UA levels in dialysate, blood, and urine.

RESULTS

In total, 180 prevalent patients undergoing PD (52.8% men) were included. Compared with the normal serum UA (SUA) group, the hyperuricemia group showed significantly lower peritoneal UA clearance (39.1 ± 6.2 vs. 42.0 ± 8.0 L/week/1.73m²; P = 0.008). Furthermore, higher transporters (high or high-average) exhibited greater peritoneal UA clearance, compared with lower transporters (low or low-average) (42.0 ± 7.0 vs. 36.4 ± 5.6 L/week/1.73 m²; P < 0.001). Among widely used solute removal indicators, peritoneal creatinine clearance showed the best performance for prediction of higher peritoneal UA clearance in receiver operating characteristic curve analysis [area under curve (AUC) 0.96; 95% confidence interval [CI], 0.93-0.99]. Peritoneal UA clearance was independently associated with continuous SUA [standardized coefficient (β), - 0.32; 95% CI, - 6.42 to - 0.75] and hyperuricemia [odds ratio (OR), 0.86; 95% CI, 0.76-0.98] status, only in patients with lower (≤2.74 mL/min/1.73 m²) measured glomerular filtration rate (mGFR). In those patients with lower mGFR, lower albumin level (β - 0.24; 95%CI - 7.26 to - 0.99), lower body mass index (β - 0.29; 95%CI - 0.98 to - 0.24), higher transporter status (β 0.24; 95%CI 0.72-5.88) and greater dialysis dose (β 0.24; 95%CI 0.26-3.12) were independently associated with continuous peritoneal UA clearance. Furthermore, each 1 kg/m² decrease in body mass index (OR 0.79; 95% CI 0.63-0.99), each 1 g/dL decrease in albumin level (OR 0.08; 95%CI 0.01-0.47), and each 0.1% increase in average glucose concentration in dialysate (OR 1.56; 95%CI 1.11-2.19) were associated with greater peritoneal UA clearance (> 39.8 L/week/1.73m²).

CONCLUSIONS

For patients undergoing PD who exhibited worse residual kidney function, peritoneal clearance dominated in SUA balance. Increasing dialysis dose or average glucose concentration may aid in controlling hyperuricemia in lower transporters.

Fluid and Electrolyte Transport across the Peritoneal Membrane during CAPD According to the Three-pore Model

In the present review, we summarize the principles governing the transport of fluid and electrolytes across the peritoneum during continuous ambulatory peritoneal dialysis (CAPD) in “average” patients and during ultrafiltration failure (UFF), according to the three-pore model of peritoneal transport. The UF volume curves as a function of dwell time [V( t)] are determined in their early phase by the glucose osmotic conductance [product of the UF coefficient (LpS) and the glucose reflection coefficient (σg)] of the peritoneum; in their middle portion by intraperitoneal volume and glucose diffusivity; and in their late portion by the LpS, Starling forces, and lymph flow. The most common cause of UFF is increased transport of small solutes (glucose) across the peritoneum, whereas the LpS is only moderately affected. Concerning peritoneal ion transport, ions that are already more or less fully equilibrated across the membrane at the start of the dwell, such as Na+(Cl–), Ca2+, and Mg2+, have a convection-dominated transport. The removal of these ions is proportional to UF volume (approximately 10 mmol/L Na+and 0.12 mmol/L Ca2+removed per deciliter UF in 4 hours).

The present article examines the impact on fluid and solute transport of varying concentrations of Ca2+and Na+in peritoneal dialysis solutions. Particularly, the effect of “ultralow” sodium solutions on transport and UF is simulated and discussed. Ions with high initial concentration gradients across the peritoneum, such as K+, phosphate, and bicarbonate, display a diffusion-dominated transport. The transport of these ions can be adequately described by non-electrolyte equations. However, for ions that are in (or near) their diffusion equilibrium over the peritoneum (Na+, Ca2+, Mg2+), more complex ion transport equations need to be used. Due to the complexity of these equations, however, non-electrolyte transport formalism is commonly employed, which leads to a marked underestimation of mass transfer area coefficients (PS). This can be avoided by determining the PS when transperitoneal ion concentration gradients are steep.

Peritoneal membrane phosphate transport status: a cornerstone in phosphate handling in peritoneal dialysis

BACKGROUND AND OBJECTIVES

Phosphate control impacts dialysis outcomes. Our aim was to define peritoneal phosphate transport in peritoneal dialysis (PD) and to explore its association with hyperphosphatemia, phosphate clearance (PPhCl), and PD modality.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

Two hundred sixty-four patients (61% on continuous ambulatory PD [CAPD]) were evaluated at month 12. PPhCl was calculated from 24-hour peritoneal effluent. Phosphate (Ph) and creatinine (Cr) dialysate/plasma (D/P) were calculated at a 4-hour 3.86% peritoneal equilibration test.

RESULTS

D/PPh correlated with D/PCr. PPhCl correlated better with D/PPh than with D/PCr. Prevalence of hyperphosphatemia (>5.5 mg/dl) was 30%. In a multiple regression analysis, only residual renal function was independently, negatively associated with hyperphosphatemia; in anuric patients, only D/PPh was an independent factor predicting hyperphosphatemia. D/PPh was 0.57 ± 0.10, and according to this, 16% of the patients were fast, 31% were fast-average, 35% were slow-average, and 17% were slow transporters. PPhCl was 37.5 ± 11.7 L/wk; it was lower in the slow transporter group (31 ± 14 L/wk). Among fast and fast-average transporters, PPhCl was comparable in both PD modalities. In comparison to automated PD, CAPD was associated with increased PPhCl among slow-average (36 ± 8 versus 32 ± 7 L/wk) and slow transporters (34 ± 15 versus 24 ± 9 L/wk).

CONCLUSIONS

In hyperphosphatemic, particularly anuric, patients, optimal PD modality should consider peritoneal phosphate transport characteristics. Increasing dwell times and transfer to CAPD are effective strategies to improve phosphate handling in patients with inadequate phosphate control on automated PD.

Dialytic Phosphate Removal: A Modifiable Measure of Dialysis Efficacy in Automated Peritoneal Dialysis

Background

Although hyperphosphatemia is one of the few established risk factors for cardiovascular mortality in patients on dialysis, the relationship between peritoneal dialysis (PD) prescription and dialytic phosphate removal is largely unexplored.

Methods and Patients

We analyzed 24-hour clearances ( n = 60) together with peritoneal equilibration tests (PETs) ( n = 52) performed in children and adolescents ( n = 35) on automated PD.

Results

Dialytic phosphate clearance was more closely correlated with 2-hour and 4-hour dialysate-to-plasma ratio (D/P) of phosphate in the PETs ( r = 0.44 and r = 0.52, both p < 0.0001) than with 2-hour and 4-hour D/P creatinine ( r = 0.26 and r = 0.27, both p < 0.05). Dialytic 24-hour phosphate clearance was independently predicted by total fluid turnover (partial R2 = 0.48, p < 0.001), the number of cycles ( r = 0.52, p < 0.001), 2-hour D/P phosphate (partial R2 = 0.07, p = 0.001), dwell time (partial R2 = 0.05, p = 0.01), and achieved ultrafiltration (partial R2 = 0.05, p = 0.005). 4-hour D/P phosphate and 24-hour phosphate clearance were significantly lower in hyperphosphatemic children (3.38 ± 1.17 vs 4.56 ± 1.99 L/1.73 m2/day, p < 0.05), whereas creatinine equilibration and clearance rates were not distinctive.

Conclusion

Dialytic phosphate removal is an important modifiable determinant of phosphate control in automated PD. It strongly depends on total dialysate turnover and the prescribed number of cycles and is more adequately predicted by phosphate than by creatinine equilibration characteristics. Due to the deleterious effects of hyperphosphatemia, dialytic phosphate removal should be monitored routinely.

Phosphate Balance on Peritoneal Dialysis

Hyperphosphatemia is an independent predictor of mortality in end-stage renal disease patients, and 40% – 50% of peritoneal dialysis (PD) patients have suboptimal control of serum phosphate. Systematically addressing this problem requires an understanding of phosphate balance on PD. The present review discusses the determinants of daily phosphate load and focuses on the factors influencing renal and peritoneal clearance of phosphate.

Mass transfer of calcium across the peritoneum at three different peritoneal dialysis fluid Ca2+ and glucose concentrations

BACKGROUND

In peritoneal dialysis, the rate of ultrafiltration has been predicted to be a major determinant of peritoneal calcium (Ca2+) removal. Hence, dialysis fluid glucose concentration should be an important factor governing the transperitoneal Ca2+ balance. The aim of this study was to test the effect of various dialysate glucose levels and selected dialysate Ca2+ levels on Ca2+ removal in peritoneal dialysis patients.

METHODS

Patients (N = 8) received, during a 7-week period, 2 L of lactate (30 mmol/L)/bicarbonate (10 mmol/L)-buffered peritoneal dialysis solutions containing either 1.5% glucose and 1.0 mmol/L Ca2+ or 2.5% glucose and 1.6 mmol/L Ca2+, or 4% glucose and 2.5 mmol/L Ca2+, respectively, provided in a three-compartment bag (trio system). Patients underwent standardized (4-hour) dwells, one for each of the three dialysates to assess permeability-surface area product (PS) or mass transfer area coefficients (MTAC) for ionized and "freely diffusible" Ca2+, lactate, glucose, bicarbonate, phosphate, creatinine, and urea.

RESULTS

There was a clear-cut dependence of peritoneal Ca2+ removal on the rate of ultrafiltration. For large peritoneal to dialysate Ca2+ gradients (2.5 mmol/L Ca2+ in 4% glucose) a close fit of measured to simulated data was predicted by the three-pore model using nonelectrolyte equations. For low transperitoneal Ca2+ concentration gradients, however, directly measured Ca2+ data agreed with the simulated ones only when the peritoneal Ca2+ PS was set lower than predicted from pore theory (6 mL/min).

CONCLUSION

There was a marked ultrafiltration dependence of transperitoneal Ca2+ transport. Nonelectrolyte equations could be used to simulate peritoneal ion (Ca2+) transport provided that the transperitoneal ion concentration gradients were large. Based on our data 1.38 mmol/L Ca2+ in the dialysis fluid would have created zero net Ca2+ gain during a 4-hour dwell for 1.5% glucose, whereas 1.7 and 2.2 mmol/L Ca2+ would have been needed to produce zero Ca2+ gain for 2.5% glucose and 3.9% glucose, respectively.