On-line mixed hemodiafiltration with a feedback for ultrafiltration control: Effect on middle-molecule removal  Luciano A. Pedrini, Vincenzo De Cristofaro 

Slides:



Advertisements
Similar presentations
Hemodiafiltration and Hemofiltration
Advertisements

How Technological Developments make better Treatment a Reality
PCRRT Tûr'mə-nŏl'ə-jē Helen Currier BSN, RN, CNN Assistant Director, Renal/Pheresis Texas Children’s Hospital Houston, Texas.
Volume 66, Issue 6, Pages (December 2004)
Hemodialyzer: From macro-design to membrane nanostructure; the case of the FX- class of hemodialyzers  Claudio Ronco, Sudhir Kumar Bowry, Alessandra Brendolan,
Downloadable computer models for renal replacement therapy
Volume 56, Pages S62-S66 (November 1999)
Volume 66, Issue 4, Pages (October 2004)
Volume 54, Issue 1, Pages (July 1998)
Elaine M. Spalding, Paul W. Chamney, Ken Farrington 
Determinants of phosphorus mobilization during hemodialysis
Volume 54, Issue 3, Pages (September 1998)
Clinical Practice Guidelines for Hemodialysis Adequacy, Update 2006
Continuous Dialysis Therapies: Core Curriculum 2016
Volume 68, Issue 5, Pages (November 2005)
Volume 55, Issue 2, Pages (February 1999)
Lucile Mercadal, Aziz Hamani, Bernard Béné, Thierry Petitclerc 
Volume 67, Issue 2, Pages (February 2005)
Volume 57, Issue 6, Pages (June 2000)
Dialyzer Math.
Volume 63, Issue 4, Pages (April 2003)
Peripheral microvascular parameters in the nephrotic syndrome
Effects of a reduced inner diameter of hollow fibers in hemodialyzers
Continuous Renal Replacement Therapy
Volume 84, Issue 4, Pages (October 2013)
Volume 67, Issue 4, Pages (April 2005)
Prediction of hypertension in chronic hemodialysis patients
Hemodialysis-associated hypotension as an independent risk factor for two-year mortality in hemodialysis patients  Tatsuya Shoji, Yoshiharu Tsubakihara,
How to interpret the eGFR in patients with small body surface area
Volume 53, Issue 4, Pages (April 1998)
M.S.Sangeetha, C.V.Revanth
Volume 58, Issue 5, Pages (November 2000)
Volume 64, Issue 1, Pages (July 2003)
Body weight is a fluctuating parameter in hemodialysis patients
Volume 55, Issue 3, Pages (March 1999)
Volume 61, Issue 1, Pages (January 2002)
Predilution hemodiafiltration displays no hemodynamic advantage over low-flux hemodialysis under matched conditions  Nikolaos Karamperis, Erik Sloth,
Blood pressure targets in hemodialysis patients
Adsorption in hemodialysis
Volume 60, Issue 4, Pages (October 2001)
Effects of a reduced inner diameter of hollow fibers in hemodialyzers
Hemodialysis arteriovenous access: Detection of stenosis and response to treatment by vascular access blood flow  Steve J. Schwab, Matthew J. Oliver,
Volume 65, Issue 5, Pages (May 2004)
Volume 76, Issue 6, Pages (September 2009)
Reduced adenosine A2a receptor–mediated efferent arteriolar vasodilation contributes to diabetes-induced glomerular hyperfiltration  Patrik Persson, Peter.
CRRT dialysis circuit using regional citrate anticoagulation with the Gambro Prisma machine. CRRT dialysis circuit using regional citrate anticoagulation.
Volume 67, Issue 1, Pages (January 2005)
Volume 67, Issue 6, Pages (June 2005)
Volume 68, Issue 4, Pages (October 2005)
Circadian regulation of renal function
Volume 57, Issue 6, Pages (June 2000)
Joachim Böhler, M.D., Johannes Donauer, Frieder Keller 
Volume 68, Issue 2, Pages (August 2005)
Volume 71, Issue 11, Pages (June 2007)
Volume 60, Issue 4, Pages (October 2001)
Noninvasive transcutaneous determination of access blood flow rate
Blood pressure and long-term mortality in United States hemodialysis patients: USRDS Waves 3 and 4 Study1  Robert N. Foley, Charles A. Herzog, Allan J.
Antonio Santoro, Elena Mancini  Kidney International 
Volume 69, Issue 4, Pages (February 2006)
Volume 70, Issue 10, Pages (November 2006)
David Z. Levine, M.D., Michelle Iacovitti, Kevin D. Burns, Amy Slater 
Volume 80, Issue 10, Pages (November 2011)
Confounding factors in the assessment of delivered hemodialysis dose
Volume 73, Issue 6, Pages (March 2008)
University of Alabama at Birmingham continuous venovenous hemodiafiltration (CVVHDF) protocol for 0.67 and 0.5% citrate. University of Alabama at Birmingham.
Volume 69, Issue 3, Pages (February 2006)
Rebound kinetics of β2-microglobulin after hemodialysis
Graft flow as a predictor of thrombosis in hemodialysis grafts
Characteristics of sudden death in hemodialysis patients
Volume 56, Issue 3, Pages (September 1999)
Presentation transcript:

On-line mixed hemodiafiltration with a feedback for ultrafiltration control: Effect on middle-molecule removal  Luciano A. Pedrini, Vincenzo De Cristofaro  Kidney International  Volume 64, Issue 4, Pages 1505-1513 (October 2003) DOI: 10.1046/j.1523-1755.2003.00240.x Copyright © 2003 International Society of Nephrology Terms and Conditions

Figure 1 Schematic representation of the on-line system for mixed hemodiafiltration with the transmembrane pressure (TMP) feedback control device. Substitution fluid is diverted from the dialysate circuit (D) by a peristaltic pump (IP1) placed on the common Y branch of the infusion path (S). This divides the solution to the prefilter (QSpre-D) and postfilter (QSpost-D) infusion site. The rate of postdilution infusion is controlled by an additional pump (IP2). Four pressure transducers (P), placed at the inlet and outlet blood and dialysate ports of the filter (F), record and send continuous signals (dotted lines) to a personal computer (PC). The efferent signals (arrow) from the PC regulate the speed of IP2 in mixed hemodiafiltration. The system also works in posthemodiafiltration, where the Y branch of the infusion line connected to the prefilter site is clamped. More detailed explanations are in the text. UF1 and UF2 are the ultrafilters placed on the dialysate and substituate lines, respectively. Kidney International 2003 64, 1505-1513DOI: (10.1046/j.1523-1755.2003.00240.x) Copyright © 2003 International Society of Nephrology Terms and Conditions

Figure 2 Graphic representation of one patient file record. (A) Mixed hemodiafiltration. At the start of the session, small shifts of infusion fluid from predilution (line b) to postdilution (line c) increase filtration fraction (FF) and stabilize mean transmembrane pressure (TMPm) (line a) within its planned operational range (250 to 300mm Hg). Subsequently, during the session, TMPm values exceeding the upper limit (*) are restored by opposite shifts of infusion fluid. (B) Posthemodiafiltration. TMPm control (line a) occurs through changes in the speed of the pump regulating the total infusion rate (line c). Kidney International 2003 64, 1505-1513DOI: (10.1046/j.1523-1755.2003.00240.x) Copyright © 2003 International Society of Nephrology Terms and Conditions

Figure 3 Behavior of the apparent ultrafiltration coefficient of the dialyzer [KUF D = QUF/mean transmembrane pressure (TMPm)] as recorded on-line during post-hemodiafiltration (lower curve) and mixed hemodiafiltration (procedure D) (upper curve). Kidney International 2003 64, 1505-1513DOI: (10.1046/j.1523-1755.2003.00240.x) Copyright © 2003 International Society of Nephrology Terms and Conditions

Figure 4 β2-microglobulin (β2-m) removal in the four on-line hemodiafiltration (HDF) procedures, evaluated from the blood side (▪), and by direct quantification in dialysate (). One-way analysis of variance (ANOVA); P = NS. Kidney International 2003 64, 1505-1513DOI: (10.1046/j.1523-1755.2003.00240.x) Copyright © 2003 International Society of Nephrology Terms and Conditions

Figure 5 Mean dialysate clearances for β2-microglobulin (β2-m) of the five experimental procedures. One-way analysis of variance (ANOVA); P < 0.0001. Post hoc tests (significance at P < 0.05). Treatment effect: a, hemodialysis (HD) vs. posthemodiafiltration (post-HDF) and mixed hemodiafiltration; b, mixed hemodiafiltration (treatment D) vs. post-HDF; c, treatment E vs. treatment D. Kidney International 2003 64, 1505-1513DOI: (10.1046/j.1523-1755.2003.00240.x) Copyright © 2003 International Society of Nephrology Terms and Conditions

Figure 6 Best fitting curves (polynomial 2nd order) relating β2-microglobulin (β2-m) KDQ with QS at three defined values for QPWin (a, 180mL/min; b, 220mL/min; c, 260mL/min). Analysis was performed on the pooled data of the five procedures (explanation in the text). The equation of the model is β-m KDQ = 7.35 + 0.7 * QS - 0.0023 * Q2S + 0.000034 * Q2S * QPwin; R2 = 0.924, P <0.0001. Algebraic solution of the equations for the coordinates of the vertex of each parabola [X= b/2a; Y=(b2- 4ac)/4a], provided the exact value for QS at which β2-m KDQ is maximal. a, KDQ 79.7mL/min at QS = 205mL/min, ratio QS/QPW = 1.1; b, KDQ 87.9mL/min at QS = 230mL/min, ratio QS/QPW = 1.05; c, KDQ 98.1mL/min at QS = 255mL/min, ratio QS/QPW = 0.98. Kidney International 2003 64, 1505-1513DOI: (10.1046/j.1523-1755.2003.00240.x) Copyright © 2003 International Society of Nephrology Terms and Conditions