Skip to main content

Main menu

  • Home
  • Content
    • Published Ahead of Print
    • Current Issue
    • Podcasts
    • Subject Collections
    • Archives
    • ASN Meeting Abstracts
    • Saved Searches
  • Authors
    • Submit a Manuscript
    • Author Resources
    • Reprint Information
  • Trainees
    • Peer Review Program
    • Prize Competition
  • About CJASN
    • About CJASN
    • Editorial Team
    • CJASN Impact
    • CJASN Recognitions
  • More
    • Alerts
    • Advertising
    • Reprint Information
    • Subscriptions
    • Feedback
  • ASN Kidney News
  • Other
    • JASN
    • Kidney360
    • Kidney News Online
    • American Society of Nephrology

User menu

  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
American Society of Nephrology
  • Other
    • JASN
    • Kidney360
    • Kidney News Online
    • American Society of Nephrology
  • Subscribe
  • My alerts
  • Log in
  • Log out
  • My Cart
Advertisement
American Society of Nephrology

Advanced Search

  • Home
  • Content
    • Published Ahead of Print
    • Current Issue
    • Podcasts
    • Subject Collections
    • Archives
    • ASN Meeting Abstracts
    • Saved Searches
  • Authors
    • Submit a Manuscript
    • Author Resources
    • Reprint Information
  • Trainees
    • Peer Review Program
    • Prize Competition
  • About CJASN
    • About CJASN
    • Editorial Team
    • CJASN Impact
    • CJASN Recognitions
  • More
    • Alerts
    • Advertising
    • Reprint Information
    • Subscriptions
    • Feedback
  • ASN Kidney News
  • Visit ASN on Facebook
  • Follow CJASN on Twitter
  • CJASN RSS
  • Community Forum
Dialysis
You have accessRestricted Access

The Personal Dialysis Capacity Test Is Superior to the Peritoneal Equilibration Test to Discriminate Inflammation as the Cause of Fast Transport Status in Peritoneal Dialysis Patients

Wim Van Biesen, Arjan Van Der Tol, Nic Veys, Clement Dequidt, Denise Vijt, Norbert Lameire and Raymond Vanholder
CJASN March 2006, 1 (2) 269-274; DOI: https://doi.org/10.2215/CJN.00820805
Wim Van Biesen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Arjan Van Der Tol
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nic Veys
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Clement Dequidt
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Denise Vijt
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Norbert Lameire
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Raymond Vanholder
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data Supps
  • Info & Metrics
  • View PDF
Loading

Abstract

This study evaluated the potential of the Personal Dialysis Capacity (PDC) test to discriminate fast transport status (FTS) as a consequence of inflammation versus FTS because of other causes. This distinction is important because new therapeutic options such as icodextrin and automated peritoneal dialysis can abolish the negative impact on outcome of FTS if fast transport is not caused by inflammation. A PDC test and a Peritoneal Equilibration Test (PET) were performed in 135 incident PD patients. Membrane characteristics were related with baseline biochemical parameters and C-reactive protein. After correction for other covariates, only large pore flux (JvL) but not surface area over diffusion distance (A0/dX) or dialysate over plasma concentration was related to C-reactive protein. Using the PDC test for detection of inflammation, positive and negative predictive values were 16/36 and 80/99, respectively, whereas with PET, positive predictive value was 5/20 and negative predictive value 92/115 (χ2 = 0.009). In a Cox regression for patient survival with correction for age, a JvL higher than expected by the surface area over diffusion distance, predicted outcome (P = 0.04). Patients with inflammation had a higher JvL (0.21 ± 0.12 versus 0.17 ± 0.09; P = 0.06) and a lower ultrafiltration (89 ± 631 versus 386 ± 601 ml/d; P = 0.06) and urine output (878.45 ± 533.55 versus 1322 ± 822 ml/d; P = 0.023) than patients without inflammation. There was no difference for surface area over diffusion distance (A0/dX) or dialysate over plasma concentration. A PDC test yields far more information about the peritoneal membrane characteristics than a PET. A JvL higher than expected by the A0/dX is an indicator of inflammation and is related to an increased mortality. The PET is not able to discriminate between FTS because of inflammation versus because of anatomic reasons, whereas the PDC test does.

In the CANUSA study (1), a negative relation between fast transport status (FTS) and outcome was notified. This relation was confirmed in some other studies (2,3), but a clear explanation for this observation was not readily available. It was hypothesized that FTS resulted in overhydration, hypoalbuminemia, or less adequate solute removal (4–6). Some later studies pointed to the possibility that the worse outcome found in patients with FTS was related to the underlying inflammation (7,8). Indeed, one can speculate that in case of inflammation, an increase of vascular surface area is found, caused by vasodilation and vascular recruitment, both resulting in an FTS in the peritoneal equilibration test (PET). In case of an anatomic large surface area, the use of icodextrin or automated peritoneal dialysis (APD) can improve fluid balance with the potential to correct the higher mortality related to FTS (9–11). If the underlying cause is inflammation, then outcome will probably not be improved unless the source of inflammation can be cured.

The Personal Dialysis Capacity (PDC) test (Gambro, Lund, Sweden) describes the peritoneal membrane characteristics by means of three parameters that are derived from data obtained from five exchanges with different duration and different glucose strengths (12). The tree parameters are (1) the surface area over diffusion distance (A0/dX), which represents the effective surface area available for diffusion and is thought to be roughly comparable with the mass transfer area coefficient and the dialysate over plasma concentration ratio (D/P) value of the PET test; (2) the reabsorption parameter, which measures the reabsorption of fluid from the peritoneal cavity after the osmotic gradient has disappeared, representing mainly the lymphatic flow; and (3) the large pore flow (JvL). The test uses a computerized mathematical model based on the three-pore model (13) to describe peritoneal transport characteristics. The PDC test–derived A0/dX is superior to the PET-derived dialysate over plasma concentration (D/Pcrea) to describe the transport of small solutes through the peritoneal membrane (14). The PDC test has been validated to describe membrane characteristics in large patient groups, both in adults and in children (15,16). The PDC test has also been advocated to describe the evolution of the functional capacity of the peritoneal membrane over time (17,18). Heaf et al. (19) demonstrated that JvL was related with mortality. As JvL represents the flow through the large pores, it is related to the “leakiness” of the membrane and thus potentially to inflammation. Until now, no study has evaluated the relation between JvL and inflammation and between JvL and fast transport. This might be of importance, as a good understanding of the underlying mechanism of the FTS has therapeutic and prognostic consequences. This study (1) evaluated the capacity of PDC to discriminate inflammation from other causes of FTS and (2) identified the relation between inflammation and transport.

Materials and Methods

All new (incident) patients who started PD at the University Hospital Ghent between January 1, 1998, and December 31, 2003, were included in this prospective observational study. In all patients, a standard PDC test was performed during the first 3 mo of their PD treatment. The PDC test was performed as described earlier (15). In brief, patients were visited at home and given the instructions for the PDC regimen (five exchanges) and the collection of the dialysate samples and 24-h urine. A blood sample was drawn. The five exchanges all alternated in glucose concentration and duration (one of 3 h, one of 4 h, one of 5 h, one of 2 h, and one of 10 h) to maximize the effectiveness of the mathematical model. All solutions were low in glucose degradation products at neutral pH. For the 4-h dwell, always a 2.27% glucose solution was used, which allowed calculation of D/P values at 4 h, the key parameter of the PET. The preceding exchange was always 1.36% glucose to avoid carryover effect differences (20,21). The glucose concentrations for the remaining exchanges were at the discretion of the physician in function of the volume status of the patient. Patients noted for each exchange the exact time of start of the drainage, the total drained volume, and the time of start of the inflow on the specifically designed PDC test sheet. The next day, patients brought the collected samples of PD fluid and urine to the hospital, and a second blood sample was drawn. Patients who were on APD were converted to continuous ambulatory peritoneal dialysis (CAPD) for the duration of the PDC test. Data were entered in the PDC program (Gambro, Lund, Sweden), and the PDC-derived parameters were calculated.

Demographic data and biochemical parameters were measured. Inflammation was assessed by the determination of serum C-reactive protein (CRP) levels, using the latex-enhanced immunoturbidimetric method (Tina quant; Roche Diagnostics, Switzerland) on a Modular P analyzer (Hitachi, Tokyo, Japan). Patients with a serum CRP level >10 mg/L were considered to have inflammation.

Residual renal function was determined by collection of a 24-h urine sample, as is usual during the PDC test. Both urea and creatinine clearance were calculated, and GFR was determined as the mean of urea and creatinine clearance. Serum albumin was determined by nephelometry.

Ultrafiltration was defined as the total ultrafiltration obtained during the PDC test day by the PDC test day regimen. Thus, it does not reflect the actual ultrafiltration of the patient on his or her day-to-day CAPD regimen but rather the ultrafiltration capacity in response to a standardized regimen.

Comorbid conditions were noted at baseline (i.e., the moment of PDC test). Diabetes was defined as need for oral antidiabetics or insulin, actual or in the past.

Statistical Analyses

Data were analyzed with SPSS 12.0 (SPSS, Inc., Chicago, IL). The t test was used to compare continuous variables between two groups. For univariate correlation analysis, Pearson correlation coefficient calculation was used. Multivariate regression analysis was used to correct for confounding variables when the analyzed parameter was continuous. A linear mixed model was used when parameters were categorical. Cox regression was used to compare survival and outcomes between groups. Patients were only censored for loss to follow-up or at the end of study (intention-to-treat approach). Only baseline parameters were evaluated.

It was hypothesized that a JvL higher than expected according to the A0/dX was the most sensitive sign of an inflamed peritoneal membrane. Therefore, we divided patients into two groups on the basis of the composite interpretation of JvL and A0/dX: Those with a JvL higher than expected on the basis of their A0/dX (hypothesis: This is a sign of inflammation) and patients with a normal JvL according to their A0/dX (thus the patients without inflammation). Classification was done using quartiles of JvL and A0/dX. For example, a patient who was in the third quartile for JvL and in the second quartile for A0/dX was considered to have an inflamed membrane. A patient who was in the third quartile for JvL and in the third quartile for A0/dX was considered to have a normal, noninflamed membrane.

Results

In total, 135 patients were included in the study. No patient refused to perform the test, and acceptance of the PDC test in this study was good.

Inflammation and Membrane Characteristics

The continuous variables are presented in Table 1, separated for patients with (n = 25) and without (n = 110) inflammation. Patients with inflammation were older and had a lower serum albumin, a higher JvL, and a lower peritoneal ultrafiltration rate and residual diuresis. Diabetes was present in 25 patients (20 in the group without inflammation, five in the group with inflammation; NS, Fisher exact). A total of 83 patients were male. On the basis of D/Pcrea at 4 h and according to PET classification, 70 patients were classified as slow or slow average, 46 as fast average, and 19 as fast transporters. There was no difference in the distribution between patients with and inflammation (NS, Fisher exact). Patients who had a higher-than-expected increase in JvL by their A0/dX were older (65 ± 14 versus 56 ± 14 yr; P = 0.02), had a higher CRP (13 ± 14 versus 7 ± 7 g/L; P = 0.03), and had a lower serum albumin (31.8 ± 6.7 versus 35.3 ± 5.6 g/L; P = 0.03).

View this table:
  • View inline
  • View popup
Table 1.

Univariate comparison of parameters in patients with versus without inflammation

Univariate correlations between parameters of interest are represented in Table 2. There was a correlation between JvL and CRP (P = 0.04) but not between D/Pcrea at 4 h and CRP. A multivariate linear regression model for A0/dX is given in Table 3. A0/dX is larger in individuals with diabetes and in men. In a multivariate linear regression model for JvL (Table 3), a higher JvL was independently predicted by inflammation (P = 0.048) and by A0/dX (P < 0.001). This suggests that in patients with comparable A0/dX, a higher JvL is related with inflammation (Table 3).

View this table:
  • View inline
  • View popup
Table 2.

Univariate correlations

View this table:
  • View inline
  • View popup
Table 3.

Multivariate regression analysis for A0/dX and JvLa

Mean A0/dX plus 1 SD was 27,000 cm2/cm per 1.73 m2. In parallel with the procedure followed in the PET, this value was used as a cutoff for the definition of FTS. Seventeen patients had an A0/dX >27,000 cm2/cm per 1.73 m2. Ten of those had a normal JvL, eight of whom also had a normal CRP. In four patients, both CRP and JvL were elevated. In one patient, CRP was elevated despite a high normal JvL. In two patients, CRP was normal, despite an elevated JvL. Nineteen patients had a D/Pcrea at 4 h >0.76; 14 of these had a normal CRP. Only 10 of 19 of these fast transporters on the basis of PET criteria also had an A0/dX >27,000 cm2/cm per 1.73 m2. Table 4 represents the distribution of classification according to PDC test–derived (χ2 P = 0.009); Table 5 represents the distribution of classification according PET-derived classification (χ2: P = 0.9) in accordance with inflammation for the complete study population.

View this table:
  • View inline
  • View popup
Table 4.

Classification of patients as having inflammation or not by PDC testa

View this table:
  • View inline
  • View popup
Table 5.

Classification of patients as having inflammation or not by PET-derived D/Pcreaa

Inflammation, Membrane Characteristics, and Outcome

In the univariate analysis, inflammation (relative risk [RR] 1.8 per mg/L CRP; P = 0.007), serum albumin (RR 0.92 per g/dl; P = 0.06), diabetes (RR 2.2; P = 0.02), and age (RR 1.07/yr; P < 0.001) were predictive for worse outcome but not A0/dX, or JvL, or D/Pcrea at 4 h (Table 6). In a multivariate Cox regression analysis with correction for age, diabetes, CRP, and serum albumin, patients who had a JvL higher than expected by their A0/dX had a higher mortality than those who had a normal JvL according to their A0/dX (Figure 1). D/Pcrea at 4 h was not related to mortality in any of the multivariate analyses.

Figure 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Figure 1.

Survival of patients with or without increased larger pore flux (JvL; corrected for age, diabetes, C-reactive protein and serum albumin, and potential interaction terms). Patients are divided into those with a JvL higher than expected by their surface area over diffusion distance (A0/dX; “increased,” solid line) and those with a normal JvL as related to their A0/dX (normal, dotted line). P = 0.04.

View this table:
  • View inline
  • View popup
Table 6.

Cox regression analysis for mortality: Univariate analysis

Discussion

The relation between inflammation and high transport status is probably the most important explanation for the increased mortality risk found in PD patients with an FTS. This analysis demonstrates that the use of D/Pcrea based on the PET leads to an incorrect perception of the mortality risk of PD patients with FTS, as with PET-based information alone, the different causes of FTS cannot be discriminated. In contrast, with the PDC test, the combined interpretation of the JvL and the unrestricted area for diffusion corrected for diffusion distance (A0/dX) allows much better discrimination of inflammation from anatomic constitution as a cause of an FTS. When age is taken into account, a higher-than-expected JvL by A0/dX and CRP level are equipotent predictors of outcome, whereas D/Pcrea is not. Analysis of the peritoneal membrane characteristics with PDC test thus is more informative than a simple PET. This discrimination has important prognostic and therapeutic consequences, because for patients with a large surface area but without inflammation, outcome can be improved by increasing the fill volume or by the use of icodextrin, whereas for patients with inflammation, the underlying cause of the inflammation should be identified and eventually cured. If no evident cause of the inflammation is found, then use of more biocompatible PD solutions (22,23) or a transfer to hemodialysis to rest the peritoneal membrane should be considered. In patients with inflammation, use of icodextrin and of short cycles is also warranted to avoid overhydration, which might be an important additional cause of the inflammation and the increased mortality in these patients (5,6,9,24,25).

The PET (26) is the most widespread tool used to analyze peritoneal membrane characteristics (18). The test, however, has several drawbacks (27,28). First, the categorization into four groups has only limited value, as it has been validated only in a (limited) North American population. For other populations, epidemiologic adaptations should be made, especially when patient physiognomy is strongly different from the “average” American patient, e.g., in Asian patients (29–31). Using the D/Pcrea ratio at 4 h gives already a more objective and continuous representation of the transport status of the membrane. For CAPD patients, this in addition gives the advantage that peritoneal clearances can easily be estimated (32), although still then, caution must be taken to extrapolate PET data to clearances in individual patients (28), whereas PDC allows calculation of the effect on clearance and ultrafiltration of different alternative regimens. Second, the use of a standard instillation volume in the PET leads to bias. In PDC, the fill volume of the different dwells can be adapted to the clinical needs of the patient. In addition, in a slow transporter, the D/Pcrea is further falsely decreased by the dilution created by the additional convective flow. Third, newer evaluation methods of the peritoneal membrane, such as PDC or Peritoneal Function Test (Fresenius Medical Care, Bad Homburg, Germany) can be performed by the patient at home, even for the blood sample, which can be drawn when the patient collects his or her material or during a home visit. For the PET, although always advocated as a more simple and more patient-friendly method, the patients have to come to the clinic and stay for at least 4 h. In our institution, where PDC is performed routinely, no patient has ever objected to this procedure, and most prefer it over staying 4 h in the outpatient clinic to perform a PET.

Our study highlights another important advantage of PDC over PET: It gives more essential information on the peritoneal membrane characteristics. With a PET, it is impossible to discriminate inflammation, which leads to changes in membrane quality and vascular recruitment and thus an increased area for diffusion on the one hand and anatomic large surface area with normal distribution of the vessels on the other hand by a PET. In this study, we found a substantial misclassification of “inflammation” when only D/P was taken into account. In contrast, by using a composite marker of PDC data, i.e., JvL that is higher than expected on the basis of the A0/dX, we were able to discriminate inflammation from other causes of FTS. This finding also suggests that during inflammation, not only recruitment of vessels takes place but also a change in pore and membrane quality, as large pore flow increases more rapidly than the perfused area. It gives an explanation for the observed differences in transport of water and large solutes and small uremic toxins: In inflammation, there is not only vascular recruitment but also alterations in membrane porosity.

Serial measurement of the PDC data also allows timely detection of changes in peritoneal membrane characteristics (17). An increase in JvL without a correlated increase in A0/dX might be a warning sign that the peritoneal membrane is wearing off and that a (temporary?) transfer to hemodialysis might be indicated.

Another important finding in this study is the independent impact of JvL, when corrected for A0/dX, on mortality. An in-depth analysis of the PDC-derived parameters thus yields a powerful prognostic marker.

In a previous study, Johnson et al. (14) demonstrated that the PDC-derived A0/dX was superior to PET-derived D/Pcrea at 4 h in describing the transperitoneal membrane transport of small solutes. This study adds another argument in favor of the PDC test as compared with the PET: A better discrimination of inflammation versus anatomic constitution as the cause of an FTS. In view of the prognostic difference between these two conditions, this is a relevant finding.

Conclusion

This article demonstrates that PDC delivers more information on peritoneal membrane status than a classic PET. This information has both prognostic and therapeutic importance. JvL, when corrected for A0/dX is a marker of inflammation and is related to outcome.

Footnotes

  • Published online ahead of print. Publication date available at www.cjasn.org.

  • Received August 25, 2005.
  • Accepted November 23, 2005.
  • Copyright © 2006 by the American Society of Nephrology

References

  1. ↵
    Churchill DN, Thorpe KE, Nolph KD, Keshaviah PR, Oreopoulos DG, Page D: Increased peritoneal membrane transport is associated with decreased patient and technique survival for continuous peritoneal dialysis patients. The Canada-USA (CANUSA) Peritoneal Dialysis Study Group. J Am Soc Nephrol 9: 1285–1292, 1998
    OpenUrlAbstract
  2. ↵
    Wang T, Heimburger O, Waniewski J, Bergstrom J, Lindholm B: Increased peritoneal permeability is associated with decreased fluid and small-solute removal and higher mortality in CAPD patients. Nephrol Dial Transplant 13: 1242–1249, 1998
    OpenUrlCrossRefPubMed
  3. ↵
    Schaefer F, Klaus G, Mehls O: Peritoneal transport properties and dialysis dose affect growth and nutritional status in children on chronic peritoneal dialysis. Mid-European Pediatric Peritoneal Dialysis Study Group. J Am Soc Nephrol 10: 1786–1792, 1999
    OpenUrlAbstract/FREE Full Text
  4. ↵
    Davies SJ, Russell L, Bryan J, Phillips L, Russell GI: Impact of peritoneal absorption of glucose on appetite, protein catabolism and survival in CAPD patients. Clin Nephrol 45: 194–198, 1996
    OpenUrlPubMed
  5. ↵
    Konings CJ, Kooman JP, Schonck M, Struijk DG, Gladziwa U, Hoorntje SJ, van der Wall Bake AW, van der Sande FM, Leunissen KM: Fluid status in CAPD patients is related to peritoneal transport and residual renal function: Evidence from a longitudinal study. Nephrol Dial Transplant 18: 797–803, 2003
    OpenUrlCrossRefPubMed
  6. ↵
    Szeto CC, Law MC, Wong TY, Leung CB, Li PK: Peritoneal transport status correlates with morbidity but not longitudinal change of nutritional status of continuous ambulatory peritoneal dialysis patients: A 2-year prospective study. Am J Kidney Dis 37: 329–336, 2001
    OpenUrlCrossRefPubMed
  7. ↵
    Park HC, Kang SW, Choi KH, Ha SK, Han DS, Lee HY: Clinical outcome in continuous ambulatory peritoneal dialysis patients is not influenced by high peritoneal transport status. Perit Dial Int 21[Suppl 3]: S80–S85, 2001
    OpenUrlAbstract/FREE Full Text
  8. ↵
    Wang T, Heimburger O, Cheng HH, Bergstrom J, Lindholm B: Does a high peritoneal transport rate reflect a state of chronic inflammation? Perit Dial Int 19: 17–22, 1999
    OpenUrlAbstract/FREE Full Text
  9. ↵
    Brown EA, Davies SJ, Rutherford P, Meeus F, Borras M, Riegel W, Divino Filho JC, Vonesh E, van Bree M: Survival of functionally anuric patients on automated peritoneal dialysis: The European APD Outcome Study. J Am Soc Nephrol 14: 2948–2957, 2003
    OpenUrlAbstract/FREE Full Text
  10. Davies SJ, Woodrow G, Donovan K, Plum J, Williams P, Johansson AC, Bosselmann HP, Heimburger O, Simonsen O, Davenport A, Tranaeus A, Divino Filho JC: Icodextrin improves the fluid status of peritoneal dialysis patients: Results of a double-blind randomized controlled trial. J Am Soc Nephrol 14: 2338–2344, 2003
    OpenUrlAbstract/FREE Full Text
  11. ↵
    Davies SJ, Brown EA, Frandsen NE, Rodrigues AS, Rodriguez-Carmona A, Vychytil A, Macnamara E, Ekstrand A, Tranaeus A, Filho JC: Longitudinal membrane function in functionally anuric patients treated with APD: Data from EAPOS on the effects of glucose and icodextrin prescription. Kidney Int 67: 1609–1615, 2005
    OpenUrlCrossRefPubMed
  12. ↵
    Haraldsson B: Assessing the peritoneal dialysis capacities of individual patients. Kidney Int 47: 1187–1198, 1995
    OpenUrlCrossRefPubMed
  13. ↵
    Rippe B: A three-pore model of peritoneal transport. Perit Dial Int 13[Suppl 2]: S35–S38, 1993
    OpenUrlAbstract
  14. ↵
    Johnsson E, Johansson AC, Andreasson BI, Haraldsson B: Unrestricted pore area (A0/deltax) is a better indicator of peritoneal membrane function than PET. Kidney Int 58: 1773–1779, 2000
    OpenUrlCrossRefPubMed
  15. ↵
    Van Biesen W, Carlsson O, Bergia R, Brauner M, Christensson A, Genestier S, Haag-Weber M, Heaf J, Joffe P, Johansson AC, Morel B, Prischl F, Verbeelen D, Vychytil A: Personal dialysis capacity (PDC(TM)) test: A multicentre clinical study. Nephrol Dial Transplant 18: 788–796, 2003
    OpenUrlCrossRefPubMed
  16. ↵
    Schaefer F, Haraldsson B, Haas S, Simkova E, Feber J, Mehls O: Estimation of peritoneal mass transport by three-pore model in children. Kidney Int 54: 1372–1379, 1998
    OpenUrlCrossRefPubMed
  17. ↵
    Imai H, Satoh K, Ohtani H, Hamai K, Haseyama T, Komatsuda A, Miura AB: Clinical application of the Personal Dialysis Capacity (PDC) test: Serial analysis of peritoneal function in CAPD patients. Kidney Int 54: 546–553, 1998
    OpenUrlCrossRefPubMed
  18. ↵
    Davies SJ: Monitoring of long-term peritoneal membrane function. Perit Dial Int 21: 225–230, 2001
    OpenUrlAbstract/FREE Full Text
  19. ↵
    Heaf JG, Sarac S, Afzal S: A high peritoneal large pore fluid flux causes hypoalbuminaemia and is a risk factor for death in peritoneal dialysis patients. Nephrol Dial Transplant 20: 2194–2201, 2005
    OpenUrlCrossRefPubMed
  20. ↵
    Lilaj T, Dittrich E, Puttinger H, Schneider B, Haag-Weber M, Horl WH, Vychytil A: A preceding exchange with polyglucose versus glucose solution modifies peritoneal equilibration test results. Am J Kidney Dis 38: 118–126, 2001
    OpenUrlCrossRefPubMed
  21. ↵
    Figueiredo AE, Conti A, Poli de Figueiredo CE: Influence of the preceding exchange on peritoneal equilibration test results. Adv Perit Dial 18: 75–77, 2002
    OpenUrlPubMed
  22. ↵
    Wieslander A, Linden T: Glucose degradation and cytotoxicity in PD fluids. Perit Dial Int 16[Suppl 1]: S114–S118, 1996
    OpenUrlPubMed
  23. ↵
    Williams JD, Craig KJ, von Ruhland C, Topley N, Williams GT: The natural course of peritoneal membrane biology during peritoneal dialysis. Kidney Int Suppl S43–S49, 2003
  24. ↵
    Chung SH, Heimburger O, Stenvinkel P, Wang T, Lindholm B: Influence of peritoneal transport rate, inflammation, and fluid removal on nutritional status and clinical outcome in prevalent peritoneal dialysis patients. Perit Dial Int 23: 174–183, 2003
    OpenUrlAbstract/FREE Full Text
  25. ↵
    Vicente-Martinez M, Martinez-Ramirez L, Munoz R, Avila M, Ventura MD, Rodriguez E, Amato D, Paniagua R: Inflammation in patients on peritoneal dialysis is associated with increased extracellular fluid volume. Arch Med Res 35: 220–224, 2004
    OpenUrlCrossRefPubMed
  26. ↵
    Twardowski ZJ: Clinical value of standardized equilibration tests in CAPD patients. Blood Purif 7: 95–108, 1989
    OpenUrlCrossRefPubMed
  27. ↵
    Twardowski ZJ, Nolph KD, Khanna R: Limitations of the peritoneal equilibration test. Nephrol Dial Transplant 10: 2160–2161, 1995
    OpenUrlPubMed
  28. ↵
    Harty JC, Goldsmith DJ, Boulton H, Heelis N, Uttley L, Morris J, Venning MC, Gokal R: Limitations of the peritoneal equilibration test in prescribing and monitoring dialysis therapy. Nephrol Dial Transplant 10: 252–257, 1995
    OpenUrlPubMed
  29. ↵
    Agarwal DK, Sharma AP, Gupta A, Sharma RK, Pandey CM, Kumar R, Masih SP: Peritoneal equilibration test in Indian patients on continuous ambulatory peritoneal dialysis: Does it affect patient outcome? Adv Perit Dial 16: 148–151, 2000
    OpenUrlPubMed
  30. Cueto-Manzano AM, Diaz-Alvarenga A, Correa-Rotter R: Analysis of the peritoneal equilibration test in Mexico and factors influencing the peritoneal transport rate. Perit Dial Int 19: 45–50, 1999
    OpenUrlAbstract/FREE Full Text
  31. ↵
    Wong FK, Li CS, Mak CK, Chau KF, Choi KS: Peritoneal equilibration test in Chinese patients. Adv Perit Dial 10: 38–41, 1994
    OpenUrlPubMed
  32. ↵
    Paniagua R, Amato D, Correa-Rotter R, Ramos A, Vonesh EF, Mujais SK: Correlation between peritoneal equilibration test and dialysis adequacy and transport test, for peritoneal transport type characterization. Mexican Nephrology Collaborative Study Group. Perit Dial Int 20: 53–59, 2000
    OpenUrlAbstract/FREE Full Text
  33. Dharmasena AD, Murphy S, Coupe D, Coles GA: The influence of dialysate volume on the peritoneal equilibration test. Perit Dial Int 13: 164–165, 1993
    OpenUrlPubMed
View Abstract
PreviousNext
Back to top

In this issue

Clinical Journal of the American Society of Nephrology
Vol. 1, Issue 2
March 2006
  • Table of Contents
  • Table of Contents (PDF)
  • Index by author
View Selected Citations (0)
Print
Download PDF
Sign up for Alerts
Email Article
Thank you for your help in sharing the high-quality science in CJASN.
Enter multiple addresses on separate lines or separate them with commas.
The Personal Dialysis Capacity Test Is Superior to the Peritoneal Equilibration Test to Discriminate Inflammation as the Cause of Fast Transport Status in Peritoneal Dialysis Patients
(Your Name) has sent you a message from American Society of Nephrology
(Your Name) thought you would like to see the American Society of Nephrology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
The Personal Dialysis Capacity Test Is Superior to the Peritoneal Equilibration Test to Discriminate Inflammation as the Cause of Fast Transport Status in Peritoneal Dialysis Patients
Wim Van Biesen, Arjan Van Der Tol, Nic Veys, Clement Dequidt, Denise Vijt, Norbert Lameire, Raymond Vanholder
CJASN Mar 2006, 1 (2) 269-274; DOI: 10.2215/CJN.00820805

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Request Permissions
Share
The Personal Dialysis Capacity Test Is Superior to the Peritoneal Equilibration Test to Discriminate Inflammation as the Cause of Fast Transport Status in Peritoneal Dialysis Patients
Wim Van Biesen, Arjan Van Der Tol, Nic Veys, Clement Dequidt, Denise Vijt, Norbert Lameire, Raymond Vanholder
CJASN Mar 2006, 1 (2) 269-274; DOI: 10.2215/CJN.00820805
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like

Jump to section

  • Article
    • Abstract
    • Materials and Methods
    • Results
    • Discussion
    • Conclusion
    • Footnotes
    • References
  • Figures & Data Supps
  • Info & Metrics
  • View PDF

More in this TOC Section

  • Defining Left Ventricular Hypertrophy in Children on Peritoneal Dialysis
  • Cardiac Geometry in Children Receiving Chronic Peritoneal Dialysis: Findings from the International Pediatric Peritoneal Dialysis Network (IPPN) Registry
  • Geographic and Educational Factors and Risk of the First Peritonitis Episode in Brazilian Peritoneal Dialysis Study (BRAZPD) Patients
Show more Dialysis

Cited By...

  • Evolution Over Time of Volume Status and PD-Related Practice Patterns in an Incident Peritoneal Dialysis Cohort
  • Peritoneal Protein Loss, Leakage or Clearance In Peritoneal Dialysis, Where Do We Stand?
  • Measuring Peritoneal Absorption with the Prolonged Peritoneal Equilibration Test from 4 to 8 Hours Using Various Glucose Concentrations
  • Longitudinal Study of Small Solute Transport and Peritoneal Protein Clearance in Peritoneal Dialysis Patients
  • Peritoneal Protein Leakage, Systemic Inflammation, and Peritonitis Risk in Patients on Peritoneal Dialysis
  • Peritoneal Albumin and Protein Losses Do Not Predict Outcome in Peritoneal Dialysis Patients
  • PERITONEAL TOTAL PROTEIN TRANSPORT ASSESSED FROM PERITONEAL EQUILIBRATION TESTS USING DIFFERENT DIALYSATE GLUCOSE CONCENTRATIONS
  • Peritoneal Protein Clearance and not Peritoneal Membrane Transport Status Predicts Survival in a Contemporary Cohort of Peritoneal Dialysis Patients
  • Hydration Status Does Not Influence Peritoneal Equilibration Test Ultrafiltration Volumes
  • QUALITY ASSURANCE IN PERITONEAL DIALYSIS
  • Google Scholar

Similar Articles

Related Articles

  • No related articles found.
  • PubMed
  • Google Scholar

Articles

  • Current Issue
  • Early Access
  • Subject Collections
  • Article Archive
  • ASN Meeting Abstracts

Information for Authors

  • Submit a Manuscript
  • Trainee of the Year
  • Author Resources
  • ASN Journal Policies
  • Reuse/Reprint Policy

About

  • CJASN
  • ASN
  • ASN Journals
  • ASN Kidney News

Journal Information

  • About CJASN
  • CJASN Email Alerts
  • CJASN Key Impact Information
  • CJASN Podcasts
  • CJASN RSS Feeds
  • Editorial Board

More Information

  • Advertise
  • ASN Podcasts
  • ASN Publications
  • Become an ASN Member
  • Feedback
  • Follow on Twitter
  • Password/Email Address Changes
  • Subscribe

© 2021 American Society of Nephrology

Print ISSN - 1555-9041 Online ISSN - 1555-905X

Powered by HighWire