| Literature DB >> 25815178 |
Arkom Nongnuch1, Montira Assanatham2, Kwanpeemai Panorchan3, Andrew Davenport4.
Abstract
Although there have been many advancements in the treatment of patients with chronic kidney disease (CKD) over the last 50 years, in terms of reducing cardiovascular risk, mortality remains unacceptably high, particularly for those patients who progress to stage 5 CKD and initiate dialysis (CKD5d). As mortality risk increases exponentially with progressive CKD stage, the question arises as to whether preservation of residual renal function once dialysis has been initiated can reduce mortality risk. Observational studies to date have reported an association between even small amounts of residual renal function and improved patient survival and quality of life. Dialysis therapies predominantly provide clearance for small water-soluble solutes, volume and acid-base control, but cannot reproduce the metabolic functions of the kidney. As such, protein-bound solutes, advanced glycosylation end-products, middle molecules and other azotaemic toxins accumulate over time in the anuric CKD5d patient. Apart from avoiding potential nephrotoxic insults, observational and interventional trials have suggested that a number of interventions and treatments may potentially reduce the progression of earlier stages of CKD, including targeted blood pressure control, reducing proteinuria and dietary intervention using combinations of protein restriction with keto acid supplementation. However, many interventions which have been proven to be effective in the general population have not been equally effective in the CKD5d patient, and so the question arises as to whether these treatment options are equally applicable to CKD5d patients. As strategies to help preserve residual renal function in CKD5d patients are not well established, we have reviewed the evidence for preserving or losing residual renal function in peritoneal dialysis patients, as urine collections are routinely collected, whereas few centres regularly collect urine from haemodialysis patients, and haemodialysis dialysis patients are at risk of sudden intravascular volume shifts associated with dialysis treatments. On the other hand, peritoneal dialysis patients are exposed to a variety of hypertonic dialysates and episodes of peritonitis. Whereas blood pressure control, using an angiotensin-converting enzyme inhibitor (ACEI) or angiotensin receptor blocker (ARB), and low-protein diets along with keto acid supplementation have been shown to reduce the rate of progression in patients with earlier stages of CKD, the strategies to preserve residual renal function (RRF) in dialysis patients are not well established. For peritoneal dialysis patients, there are additional technical factors that might aggravate the rate of loss of residual renal function including peritoneal dialysis prescriptions and modality, bio-incompatible dialysis fluid and over ultrafiltration of fluid causing dehydration. In this review, we aim to evaluate the evidence of interventions and treatments, which may sustain residual renal function in peritoneal dialysis patients.Entities:
Keywords: biocompatible dialysate ACEI; peritoneal dialysis; residual renal function
Year: 2015 PMID: 25815178 PMCID: PMC4370298 DOI: 10.1093/ckj/sfu140
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
Summary of studies reported beneficial of RRF on mortality
| Reference (year) | Study design | Number, characteristics and modality of subjects | Measurement of RRF | RR or OR of mortality per increase of RRF (CI or P-value) |
|---|---|---|---|---|
| Maiorca | 3-year prospective single centre | Prevalent 68 CAPD and 34 HD | GFR 10 L/week/1.73 m2 | 0.4 (P < 0.001) |
| Diaz-Buxo | 1-year prospective single centre | Prevalent 2686 CAPD or CCPD | Renal CrCl 10 L/week/1.73 m2 | 0.89 (P = 0.003) |
| Rocco | 7-month prospective multicentre | Prevalent 1446 CAPD or CCPD | Renal CrCl 10 L/week/1.73 m2 | 0.6 (0.4–0.8) |
| Szeto | 3-year prospective single centre | Prevalent 270 CAPD | GFR 1 mL/min/1.73 m2 | 0.65 (0.45–0.94) |
| Ates | 3-year prospective single centre | Incident 125 CAPD | GFR 1 mL/min/1.73 m2 | 0.53 (0.31–0.92) |
| Bargman | 2-year prospective multicentre | Prevalent 680 CAPD | GFR 5 L/week/1.73 m2 | 0.88 (0.83–0.94) |
| Paniagua | 2-year multicentre randomized controlled | Incident 965 CAPD | Renal CrCl 10 L/week/1.73 m2 | 0.89 (P = 0.01) |
| Termorshuizen | 3-year prospective multicentre | Incident 413 CAPD | GFR 1 mL/min/1.73 m2 | 0.88 (0.79–0.99) |
| Chung | 2-year retrospective | Incident 117 CAPD | GFR 1 mL/min/1.73 m2 | 0.79 (0.62–0.99) |
| Szeto | 5-year prospective single centre | Prevalent 270 CAPD | GFR 1 mL/min/1.73 m2 | 0.8 (0.73–0.88) |
| Rumpsfeld | 3-year retrospective | Incident 2434 CAPD or APD | GFR 10 L/week/1.73 m2 | 0.93 (P = 0.01) |
Fig. 1.Bland Altman plot showing variation in glomerular filtration rate calculated from sequential 24 h urine collections in 100 peritoneal dialysis patients.
Summary of studies reported effect of dialysis modality on RRF
| Reference (year) | Study design | Subject characteristics | Favour CAPD | Details |
|---|---|---|---|---|
| Hiroshige | 6-month prospective | Prevalent 8 NIPD, 5 CCPD, 5 CAPD | Yes | Rate of change of RRF in −0.29 (NIPD) versus −0.34 (CCPD) versus +0.01 (CAPD) mL/min/month |
| Rodriguez | 3-year prospective | Prevalent 25 CAPD, 20 APD | No | |
| Hufnagel | 18-month prospective | Incident 6 NIPD, 12 CCPD, 18 CAPD | Yes | Rate of change of RRF in −0.26 (APD) versus −0.13 (CAPD) mL/min/month |
| Bro | 6-month randomized controlled trial | Prevalent 13 CAPD, 12 APD | No | |
| Moist | 3-year retrospective | Incident 722 CAPD, 310 APD | No | |
| De Fijter | 2-year randomized controlled trial | Incident 13 CCPD, 11 CAPD | No | |
| Gallar | 1-year prospective | Incident 11 CAPD, 9 APD | No | |
| Singhal | 4-year prospective | Incident 211 CAPD, 31 APD | No | |
| Holley | 9-year retrospective | Incident 11 CAPD, 9 APD | No | |
| Jansen | 1-year prospective | Incident 243 PD subjects | No | |
| Hidaka | 6-year prospective | Incident 27 CAPD, 7 APD | Yes | Approximate time to decrease 50% of RRF in CAPD is 15 months versus APD 4 months, P < 0.001 |
| Johnson | 6-year prospective | Incident 134 CAPD, 12 APD | No | |
| Rodriguez-Carmona (2004) [ | 1-year prospective | Incident 53 CAPD, 51 APD | Yes | Hazard ratio of APD versus CAPD = −1.2 (−2.25 to −0.15, P = 0.02) |
| Rabindranath (2007) [ | Systematic review of 3 RCT | 49 PD subjects | No | |
| Liao (2009) [ | 10-year retrospective | Incident 188 CAPD, 82 APD | No | |
| Su | 9-year retrospective | Prevalent 140 CAPD, 32 APD | No | |
| Cnossen | 7-year retrospective | Incident 179 CAPD, 441 APD | No | |
| Balasubramanian | 5-year retrospective | Incident 178 CAPD, 13 APD | No | |
| Michels | 3-year retrospective | Incident 505 CAPD, 78 APD | Yes | Higher risk of loss of RRF in APD compared to CAPD in first year of treatment (adjusted hazard ratio 2.66, CI 1.66–4.44) |
Summary of studies reported effect of biocompatible peritoneal solution on RRF
| Reference (year) | Study design | Subject characteristics | Favour balance solution | Details |
|---|---|---|---|---|
| Feriani | 6-month randomized controlled trial | Prevalent 33 lactate base, 36 bicarbonate base | No | |
| Coles | 2-month randomized controlled trial | Prevalent 3 arms, 19 lactate base, 20 lactate/bicarbonate, 20 bicarbonate | No | |
| Tranaeus | 1-year randomized controlled trial | Prevalence 106 CAPD, 70 (bicarbonate/lactate), 36 (lactate) | No | |
| Rippe | 2-year randomized controlled trial | Prevalent 40 conventional, 40 neutral pH dialysate | No | |
| Williams | 6-month randomized crossover | Prevalent 86 CAPD subjects | Yes | Renal CrCl and urea clearance increase when using balance solution and decrease when using standard solution |
| Montenegro | 1-year randomized controlled trial | Incident 36 CAPD, 18 (lactate base), 18 (bicarbonate base) | Yes | GFR decline in lactate base group, but preserved in bicarbonate group |
| Szeto | 1-year randomized controlled trial | Incident 25 conventional, 25 neutral | No | |
| Fan | 1-year randomized controlled trial | Incident 61 CAPD or APD for conventional fluid, 57 CAPD or APD for neutral fluid | No | |
| Choi | 1-year randomized controlled trial | Prevalent, 104 CAPD, 51(neutral), 53 (conventional) | No | |
| Weiss | 6-month prospective crossover | Prevalent 53 CAPD | Yes | Improvement of GFR when using bicarbonate base solution |
| Pajek | 6-month prospective crossover | Prevalent 26 CAPD | No | |
| Haag-Weber | 18-month randomized controlled | Prevalent 69 CAPD, 43 (neutral), 26 (conventional) | Yes | Monthly RRF change faster in conventional group, −4.3% versus −1.5% (P = 0.04) |
| Bajo | 2-year prospective | Incident 20 standard, 13 balance fluid | No | |
| Johnson | 2-year randomized controlled trial | Incident 93 conventional, 92 balance fluid | No | |
| Kim | 2-year randomized controlled trial | Incident 91 CAPD, 48 (balance), 43 (conventional) | Yes | Residual renal function significantly higher in balance solution at the end of study |
| Cho | 1-year randomized controlled trial | Incident CAPD, 32 (balance), 28 (conventional) | No |
Summary of studies reported effect of icodextrin peritoneal solution on RRF
| Reference (year) | Study design | Subject characteristics | Favour icodextrin solution | Details |
|---|---|---|---|---|
| Posthuma | 2-year randomized controlled trial | Prevalent, CCPD, 11 (icodextrin), 10 (lowest glucose) | No | |
| Plum | 3-month randomized controlled trial | Prevalent, APD, 20 (icodextrin), 19 (2.27% glucose) | No | |
| Konings | 4-month randomized controlled trial | Prevalent, CAPD and CCPD, 22 (icodextrin), 18 (glucose) | No | GFR significantly decrease in icodextrin treated group, but maintain in control group |
| Adachi | 2-year retrospective | Prevalence case matched control APD, 10 (icodextrin), 12 (glucose) | Yes | GFR significantly decrease in control group, but maintain in icodextrin treated group |
| Takatori | 2-year randomized controlled trial | Incident, CAPD and APD, 21 (icodextrin), 20 (glucose) | No |