Effect of frequent hemodialysis on residual kidney function

John T Daugirdas, Tom Greene, Michael V Rocco, George A Kaysen, Thomas A Depner, Nathan W Levin, Glenn M Chertow, Daniel B Ornt, Jochen G Raimann, Brett Larive, Alan S Kliger, FHN Trial Group, John T Daugirdas, Tom Greene, Michael V Rocco, George A Kaysen, Thomas A Depner, Nathan W Levin, Glenn M Chertow, Daniel B Ornt, Jochen G Raimann, Brett Larive, Alan S Kliger, FHN Trial Group

Abstract

Frequent hemodialysis can alter volume status, blood pressure, and the concentration of osmotically active solutes, each of which might affect residual kidney function (RKF). In the Frequent Hemodialysis Network Daily and Nocturnal Trials, we examined the effects of assignment to six compared with three-times-per-week hemodialysis on follow-up RKF. In both trials, baseline RKF was inversely correlated with number of years since onset of ESRD. In the Nocturnal Trial, 63 participants had non-zero RKF at baseline (mean urine volume 0.76 liter/day, urea clearance 2.3 ml/min, and creatinine clearance 4.7 ml/min). In those assigned to frequent nocturnal dialysis, these indices were all significantly lower at month 4 and were mostly so at month 12 compared with controls. In the frequent dialysis group, urine volume had declined to zero in 52% and 67% of patients at months 4 and 12, respectively, compared with 18% and 36% in controls. In the Daily Trial, 83 patients had non-zero RKF at baseline (mean urine volume 0.43 liter/day, urea clearance 1.2 ml/min, and creatinine clearance 2.7 ml/min). Here, treatment assignment did not significantly influence follow-up levels of the measured indices, although the range in baseline RKF was narrower, potentially limiting power to detect differences. Thus, frequent nocturnal hemodialysis appears to promote a more rapid loss of RKF, the mechanism of which remains to be determined. Whether RKF also declines with frequent daily treatment could not be determined.

Figures

Figure 1
Figure 1
Regression analysis of baseline urine volume as a function of ESRD vintage for the Nocturnal and Daily Trials. The drawn curves were fit using locally weighted least squares regression. The Spearman correlations between vintage and baseline urine volume were −0.49 (p

Figure 2

Nocturnal Trial Subjects with Baseline…

Figure 2

Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of…

Figure 2
Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 3 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.

Figure 2

Nocturnal Trial Subjects with Baseline…

Figure 2

Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of…

Figure 2
Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 3 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.

Figure 2

Nocturnal Trial Subjects with Baseline…

Figure 2

Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of…

Figure 2
Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 3 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.

Figure 3

Daily Trial Subjects with Baseline…

Figure 3

Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of…

Figure 3
Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 4 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.

Figure 3

Daily Trial Subjects with Baseline…

Figure 3

Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of…

Figure 3
Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 4 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.

Figure 3

Daily Trial Subjects with Baseline…

Figure 3

Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of…

Figure 3
Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 4 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.

Figure 4

Baseline and 12-month urine volumes…

Figure 4

Baseline and 12-month urine volumes in both trials as a function of average…

Figure 4
Baseline and 12-month urine volumes in both trials as a function of average frequency (left panels) and average weekly dialysis times (right panels). Only those participants with nonzero urine volume at baseline were included. The solid circles represent 12-month urine volume for participants randomized to the frequent arm and open circles indicate 12-month urine volume for participants randomized to the control arm. Values of some of the points were shifted laterally slightly to reduce overlap between plot symbols. The endpoint of each vertical line linking to each circle depicts the baseline urine volume level for that particular subject.
All figures (8)
Figure 2
Figure 2
Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 3 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.
Figure 2
Figure 2
Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 3 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.
Figure 2
Figure 2
Nocturnal Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 3 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.
Figure 3
Figure 3
Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 4 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.
Figure 3
Figure 3
Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 4 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.
Figure 3
Figure 3
Daily Trial Subjects with Baseline Nonzero Urine Volume: Time course in level of residual kidney function measured as (a) UVol; (b) Kru; or (c) Krcreat, at baseline, Month 4 and Month 12. The bar graphs depict the proportions of patients falling into the different categories and are provided to describe the outcome distribution. The bar graph ranges represent baseline tertiles (of those with nonzero function at baseline) for each variable. See Table 4 for P -values of nonparametric tests comparing the RKF parameters between treatment groups.
Figure 4
Figure 4
Baseline and 12-month urine volumes in both trials as a function of average frequency (left panels) and average weekly dialysis times (right panels). Only those participants with nonzero urine volume at baseline were included. The solid circles represent 12-month urine volume for participants randomized to the frequent arm and open circles indicate 12-month urine volume for participants randomized to the control arm. Values of some of the points were shifted laterally slightly to reduce overlap between plot symbols. The endpoint of each vertical line linking to each circle depicts the baseline urine volume level for that particular subject.

References

    1. Suri RS, Garg AX, Chertow GM, et al. Frequent Hemodialysis Network (FHN) randomized trials: study design. Kidney Int. 2007;71:349–359.
    1. Sergeyeva O, Gorodetskaya I, Ramos R, et al. Challenges to enrollment and randomization of the frequent hemodialysis network (FHN) daily trial. J Nephrol. 2012;25:302–309.
    1. Rocco MV, Larive B, Eggers PW, et al. Baseline Characteristics of Participants in the Frequent Hemodialysis Network (FHN) Daily and Nocturnal Trials. Am J Kidney Dis. 2010;57:90–100.
    1. Chertow GM, Levin NW, Beck GJ, et al. In-center hemodialysis six times per week versus three times per week. N Engl J Med. 2010;363:2287–2300.
    1. Rocco MV, Lockridge RS, Jr, Beck GJ, et al. The effects of frequent nocturnal home hemodialysis: the Frequent Hemodialysis Network Nocturnal Trial. Kidney Int. 2011;80:1080–1091.
    1. Daugirdas JT, Chertow GM, Larive B, et al. Effects of Frequent Hemodialysis on Measures of CKD Mineral and Bone Disorder. J Am Soc Nephrol. 2012;23:727–738.
    1. Chan CT, Greene T, Chertow GM, et al. Determinants of Left Ventricular Mass in Patients on Hemodialysis: Frequent Hemodialysis Network (FHN) Trials. Circ Cardiovasc Imaging. 2012;5:251–261.
    1. Hall YN, Larive B, Painter P, et al. Effects of Six versus Three Times per Week Hemodialysis on Physical Performance, Health, and Functioning: Frequent Hemodialysis Network (FHN) Randomized Trials. Clin J Am Soc Nephrol. 2012;7:782–794.
    1. Kaysen GA, Greene T, Larive B, et al. The effect of frequent hemodialysis on nutrition and body composition: Frequent Hemodialysis Network Trial. Kidney Int. 2012;82:90–99.
    1. Vilar E, Farrington K. Emerging importance of residual renal function in end-stage renal failure. Semin Dial. 2011;24:487–494.
    1. USRDS. United States Renal Data System. [Accessed: 09 Sep 2012];2011 Annual Data Report. 2011 .
    1. Jansen MA, Hart AA, Korevaar JC, et al. Predictors of the rate of decline of residual renal function in incident dialysis patients. Kidney Int. 2002;62:1046–1053.
    1. Lysaght MJ, Vonesh EF, Gotch F, et al. The influence of dialysis treatment modality on the decline of remaining renal function. ASAIO Trans. 1991;37:598–604.
    1. Suzuki H, Kanno Y, Sugahara S, et al. Effects of an angiotensin II receptor blocker, valsartan, on residual renal function in patients on CAPD. Am J Kidney Dis. 2004;43:1056–1064.
    1. Moist LM, Port FK, Orzol SM, et al. Predictors of loss of residual renal function among new dialysis patients. J Am Soc Nephrol. 2000;11:556–564.
    1. Rottembourg J, Issad B, Gallego JL, et al. Evolution of residual renal function in patients undergoing maintenance haemodialysis or continuous ambulatory peritoneal dialysis. Proc Eur Dial Transplant Assoc. 1983;19:397–403.
    1. Maiorca R, Cancarini G, Manili L, et al. Comparative analysis after 6 years of results obtained with continuous ambulatory peritoneal dialysis and hemodialysis. Contrib Nephrol. 1987;55:221–230.
    1. Pierratos A, Ouwendyk M, Francoeur R, et al. Nocturnal hemodialysis: three-year experience. J Am Soc Nephrol. 1998;9:859–868.
    1. Ting GO, Kjellstrand C, Freitas T, et al. Long-term study of high-comorbidity ESRD patients converted from conventional to short daily hemodialysis. Am J Kidney Dis. 2003;42:1020–1035.
    1. Maiorca R, Brunori G, Zubani R, et al. Predictive value of dialysis adequacy and nutritional indices for mortality and morbidity in CAPD and HD patients. A longitudinal study. Nephrol Dial Transplant. 1995;10:2295–2305.
    1. Szeto CC, Wong TY, Leung CB, et al. Importance of dialysis adequacy in mortality and morbidity of Chinese CAPD patients. Kidney Int. 2000;58:400–407.
    1. Greene T, Daugirdas JT, Depner TA, et al. for the FHN Trial Group. Solute clearances and fluid removal in the frequent hemodialysis network trials. Am J Kidney Dis. 2009;53:835–844.
    1. Bargman JM, Thorpe KE, Churchill DN. Relative contribution of residual renal function and peritoneal clearance to adequacy of dialysis: a reanalysis of the CANUSA study. J Am Soc Nephrol. 2001;12:2158–2162.
    1. Shemin D, Bostom AG, Laliberty P, et al. Residual renal function and mortality risk in hemodialysis patients. Am J Kidney Dis. 2001;38:85–90.
    1. Vilar E, Wellsted D, Chandna SM, et al. Residual renal function improves outcome in incremental haemodialysis despite reduced dialysis dose. Nephrol Dial Transplant. 2009;24:2502–2510.
    1. van der Wal WM, Noordzij M, Dekker FW, et al. Full loss of residual renal function causes higher mortality in dialysis patients; findings from a marginal structural model. Nephrol Dial Transplant. 2011;26:2978–2983.
    1. Brener ZZ, Thijssen S, Kotanko P, et al. The impact of residual renal function on hospitalization and mortality in incident hemodialysis patients. Blood Purif. 2011;31:243–251.
    1. Suda T, Hiroshige K, Ohta T, et al. The contribution of residual renal function to overall nutritional status in chronic haemodialysis patients. Nephrol Dial Transplant. 2000;15:396–401.
    1. Wang AY, Sea MM, Ip R, et al. Independent effects of residual renal function and dialysis adequacy on actual dietary protein, calorie, and other nutrient intake in patients on continuous ambulatory peritoneal dialysis. J Am Soc Nephrol. 2001;12:2450–2457.
    1. Szeto CC, Lai KN, Wong TY, et al. Independent effects of residual renal function and dialysis adequacy on nutritional status and patient outcome in continuous ambulatory peritoneal dialysis. Am J Kidney Dis. 1999;34:1056–1064.
    1. Wang AY, Wang M, Woo J, et al. Inflammation, residual kidney function, and cardiac hypertrophy are interrelated and combine adversely to enhance mortality and cardiovascular death risk of peritoneal dialysis patients. J Am Soc Nephrol. 2004;15:2186–2194.
    1. Penne EL, van der Weerd NC, Grooteman MP, et al. Role of residual renal function in phosphate control and anemia management in chronic hemodialysis patients. Clin J Am Soc Nephrol. 2010;6:281–289.
    1. Blumberg A, Burgi W. Behavior of beta 2-microglobulin in patients with chronic renal failure undergoing hemodialysis, hemodiafiltration and continuous ambulatory peritoneal dialysis (CAPD) Clin Nephrol. 1987;27:245–249.
    1. Fry AC, Singh DK, Chandna SM, et al. Relative importance of residual renal function and convection in determining beta-2-microglobulin levels in high-flux haemodialysis and on-line haemodiafiltration. Blood Purif. 2007;25:295–302.
    1. Konings CJ, Kooman JP, Schonck M, et al. Fluid status in CAPD patients is related to peritoneal transport and residual renal function: evidence from a longitudinal study. Nephrol Dial Transplant. 2003;18:797–803.
    1. Wang AY, Wang M, Woo J, et al. A novel association between residual renal function and left ventricular hypertrophy in peritoneal dialysis patients. Kidney Int. 2002;62:639–647.
    1. van Olden RW, Krediet RT, Struijk DG, et al. Similarities in functional state of the kidney in patients treated with CAPD and hemodialysis. Adv Perit Dial. 1996;12:97–100.
    1. Davenport A, Sayed RH, Fan S. Is extracellular volume expansion of peritoneal dialysis patients associated with greater urine output? Blood Purif. 2011;32:226–231.
    1. Konings CJ, Kooman JP, Gladziwa U, et al. A decline in residual glomerular filtration during the use of icodextrin may be due to underhydration. Kidney Int. 2005;67:1190–1191.
    1. Daugirdas JT, Bernardo AA. Hemodialysis effect on platelet count and function and hemodialysisassociated thrombocytopenia. Kidney Int. 2012;82:147–157.
    1. Diao Z, Zhang D, Dai W, et al. Preservation of residual renal function with limited water removal in hemodialysis patients. Ren Fail. 2011;33:875–877.
    1. Uda S, Mizobuchi M, Akizawa T. Biocompatible characteristics of high-performance membranes. Contrib Nephrol. 2011;173:23–29.
    1. Culleton BF, Walsh M, Klarenbach SW, et al. Effect of frequent nocturnal hemodialysis vs conventional hemodialysis on left ventricular mass and quality of life: a randomized controlled trial. JAMA. 2007;298:1291–1299.
    1. Ayus JC, Mizani MR, Achinger SG, et al. Effects of short daily versus conventional hemodialysis on left ventricular hypertrophy and inflammatory markers: a prospective, controlled study. J Am Soc Nephrol. 2005;16:2778–2788.
    1. Kotler DP, Burastero S, Wang J, et al. Prediction of body cell mass, fat-free mass, and total body water with bioelectrical impedance analysis: effects of race, sex, and disease. Am J Clin Nutr. 1996;64:489S–497S.
    1. Wang Z, St-Onge MP, Lecumberri B, et al. Body cell mass: model development and validation at the cellular level of body composition. Am J Physiol Endocrinol Metab. 2004;286:E123–E128.
    1. Benard A, Van Elteren P. A generalisation of the method of m rankings. Indag Math. 1953;15:358–369.

Source: PubMed

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