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Effect of increased convective clearance
by on-line hemodiafiltration
on all cause and cardiovascular mortality
in chronic hemodialysis patients
THE DUTCH CONVECTIVE TRANSPORT STUDY (CONTRAST)
Executive committee:
dr P.J. Blankestijn, internist/nephrologist, UMC (chair) dr M.A. van den Dorpel, internist/nephrologist, MCRZ-Clara dr M.P.C Grooteman, internist/nephrologist, VUmc Prof. dr M.J. Nubé, internist/nephrologist, Medical Center Alkmaar / VUmc Prof. dr P.M. ter Wee, internist/nephrologist, VUmc (chair) University Medical Center Utrecht1 and Vrije Universiteit Medical Center2, 1Heidelberglaan 100, 3584 CX Utrecht; 2De Boelelaan 1117, PO Box 7057, 1007 MB Correspondence
dr M.P.C Grooteman, internist/nephrologist, VUmc Department of Nephrology, PO Box 7057, 1007 MB Amsterdam. 5.1 cardiovascular disease in hemodialysis patients: introduction 5.2 pathogenesis of cardiovascular disease in HD patients 5.2.2 accumulation of ‘uremic toxins’ 5.2.2.1 disturbances in the balance between oxidants and anti-oxidants 5.2.2.2 disturbances in the immuno-inflammatory system 5.2.4 evidence/markers of atherosclerosis 5.3 technical aspects of hemodialysis and hemodiafiltration 5.4 potential advantages of techniques with high convective transport 5.4.1 uremic toxins 5.4.2 markers of atherosclerosis 5.4.4 cardiovascular and all-cause morbidity and mortality 7.5.3 observations during dialysis/hemodiafiltration 8. SPECIAL CONSIDERATIONS / ETHICAL ASPECTS 8.1 special considerations for the participating patients 8.1.1 possible inconveniences for the patient 8.1.2 possible advantages for the patient 8.1.5 participation and informed consent 8.2 special considerations concerning the relevance of the study 2. SUMMARY
Today, an increasing number of patients with chronic renal failure (CRF) is treated with (on-
line) hemodiafiltration (HDF). This practice is based on the assumption that the high
incidence of cardiovascular (CV) disease, as observed in patients with CRF, is at least
partially related to the retention of uremic toxins in the middle and large-middle molecular
(MM) range. As HDF lowers these molecules more effectively than HD, it has been
suggested that this treatment improves CV outcome, if compared to standard HD.
Thus far, no definite data on the effects of HDF on CV parameters and/or clinical end-points
are available. Promising data include a reduction of left ventricular mass index (LVMi) after
one year of treatment with acetate free bio-filtration (AFB). Furthermore, relatively high
survival rates were reported in a single center non-experimental study on patients who were
treated with HDF, if compared to the EDTA registry data on HD-treated patients. Yet, these
data are of observational nature, with the possibility of being biased by confounding by
indication.
As the accumulation of MMW substances has been implicated in increased oxidative stress
and endothelial dysfunction, a reduction of these compounds might improve these
derangements. In addition, cardiac dysfunction, atherosclerosis (as measured by left
ventricular mass index [LVMi], carotid intima media thickness [CIMT]) and vascular stiffness
(as measured by pulse wave velocity [PWV]) might be reduced during HDF, as compared to
low-flux HD.
Therefore, we propose a prospective, randomized multicenter trial, comparing (on-line) HDF
with HD. After a stabilization period, an expected number of 772 chronic HD patients will be
randomized to either HDF or low-flux HD for three years. Primary end points are all cause
mortality and combined CV events and mortality. In addition, LVMi, PWV, CIMT and various
parameters of oxidative stress, acute phase reaction (APR) and endothelial function will be
assessed and compared between treatment groups.
This study will provide strong evidence on the efficacy of HDF compared to low flux HD on
CV morbidity and mortality, which is currently lacking but urgently needed. It is highly likely
that the outcome of this study will affect current clinical practice considerably, in the
Netherlands as well as internationally. Moreover, the study will point towards the
mechanisms underlying the effects of HDF.
3. AIM OF THE STUDY

The following hypothesis will be tested:
1. all-cause mortality and combined CV morbidity and mortality in patients treated with (on-
line) HDF is lower than in patients treated with standard low-flux HD. 2. a reduction in MMW uremic toxins by HDF leads to an improvement of the ‘uremic profile’ (as measured by AGE-levels, homocysteine levels, oxidative stress, and endothelial dysfunction), if compared to standard low-flux HD. 3. the improvement of the ‘uremic profile’ in HDF-treated patients results in an improvement of endothelial function with a reduction in the progression of vascular injury (as measured by CIMT and PWV) and a reduction in LVMi, if compared to standard low-flux HD. 4. FLOW CHART
Assessment
Clinical events
contin uously
Routine DGN
laboratory
assessments
Study laboratory
assessments

Quality of life
Nutritional state
Medication
5. BACKGROUND
5.1 Cardiovascular disease in hemodialysis patients: introduction
Cardiovascular disease (CVD) is the most frequent complication and major cause of mortality
in dialysis patients,1 accounting for more than half of all deaths (70% versus 37% in the
normal population). In addition, chronic hemodialysis (HD) patients suffer from
atherosclerotic complications at a relatively younger age2 and die younger from ischemic
heart disease.3 The increased cardiovascular (CV) risk is probably multifactorial in origin and
already observed in the pre-dialysis phase.
On theoretical grounds, the pathogenetic process leading to CVD can be divided in 4 stages:
1) contributing factors or risk factors; 2) accumulation of ‘uremic toxins’ and disturbances in
the balance between oxidants and anti-oxidants and the immuno-inflammatory system; 3)
endothelial dysfunction; 4) evidence of atherosclerosis.
5.2 Pathogenesis of cardiovascular disease in HD patients
5.2.1 contributing factors
Several conventional risk factors are known to contribute to the increased prevalence and
incidence of CVD in chronic HD patients, some being -at least partly- modifiable (smoking,
hypertension, dyslipidemia, diabetes), and others not (age, gender). Frequently, a
combination of these factors is present, that may explain the high prevalence of CVD in this
patient group.4 Moreover, an impaired renal function per se appears to be a risk factor as
well.5 In this respect, the accumulation of several uremic substances, such as homocysteine
and Lp(a), may play an important role. In addition, it has been suggested that HD treatment
itself contributes to the micro-inflammatory state that is commonly observed in chronic HD
patients (see below).3
5.2.2 accumulation of ‘uremic toxins’
Apart from urea and creatinin, a variety of ‘uremic toxins’ has been described in CRF.6
Nitric oxide (NO) inhibits key processes in atherosclerosis, such as monocyte adhesion,
platelet aggregation and smooth muscle cell proliferation. It has been shown that chronic HD
patients exhibit reduced NO levels, as well as an accumulation of asymmetric
dimethylarginine (ADMA), an endogenous inhibitor of NO-synthase. 7 In fact, ADMA
appeared to be a strong predictor of CV events and total mortality in this patient group.8
Apart from a characteristic atherogenic lipid profile, including low concentrations of high-
density lipoprotein (HDL)-cholesterol, chronic HD patients exhibit elevated triglyceride,
intermediate density lipoprotein (IDL)-cholesterol and Lp(a) concentrations.9 In observational
studies it was shown that in particular the latter abnormality was related to the presence of
CVD in these patients. 10
Homocysteine (Hcy) is an amino-acid that is produced by the demethylation of methionine.
Hcy levels are increased in HD patients, whereas Hcy appeared to be an independent risk
factor for CVD in both renal and non-renal patients.11 12 13 Thus far, it proved difficult to show
clinically relevant effects of Hcy lowering therapy. Recently however, it was shown that
reduction of Hcy decreased the incidence of restenosis after coronary angioplasty in a non-
renal population.14
Finally, various other uremic accumulates with potential toxicity have been described16 ,
whereas the existence of many undefined uremic toxins has been suggested as well. The
clinical significance of these substances, however, is unknown.

5.2.2.1 disturbances in the balance between oxidants and anti-oxidants
Oxidative stress can be defined as an imbalance between antioxidant and oxidant generating
systems. There is accumulating evidence that CRF is associated with enhanced oxidative
stress.15 16 It has been shown that the blood-membrane interaction during HD triggers
circulating neutrophils to produce reactive oxygen species (ROS).17 18 Both the
microbiological quality of the dialysate, the presence of co-morbidity and specific medication
might be involved as well. Accumulating evidence has indicated that oxidative stress plays
an important role in the pathogenesis of atherosclerosis.19 20 In CRF, endothelial dysfunction
appeared to be related to the degree of oxidative stress.21
Oxidative stress also promotes the generation of advanced glycation end products (AGEs),
which are formed by non-enzymatic processes between reactive amino-groups of proteins,
peptides or amino-acids and a ketone or aldehyde group of reducing sugars (carbonyl
stress). AGEs accumulate with advancing age, diabetes mellitus and renal failure.22 23
Recent evidence indicates that the accumulation of these substances might play an
important role in the development of accelerated atherosclerosis in CRF patients with and
without diabetes mellitus (DM). 24 25 Furthermore, it has been suggested that AGEs
contribute to the micro-inflammatory process in this patient group.26

5.2.2.2 disturbances in the immuno-inflammatory system
Numerous observations have led to the ‘response to injury’ hypothesis of atherosclerosis.27
From the earliest lesion until the occurrence of CV, an inflammatory component appears to
be involved in its pathogenesis. The prototypical marker of inflammation, or the acute phase
response (APR) is C-reactive protein (CRP). CRP values are correlated with CV morbidity
and mortality in both the normal population28 and chronic HD patients.29 30 In the latter group,
elevated CRP levels are frequently observed,31 and might be involved in the process of
accelerated atherosclerosis.32 In both renal and non-renal patients, an elevated CRP was
related to the extent of carotid atherosclerosis (carotid intima media thickness CIMT),33 34 and
to the absence of an improvement in arterial stiffness (pulse wave velocity PWV) in response
to blood pressure (BP) treatment.35 The cause of the apparent micro-inflammatory state in
chronic HD patients is not exactly known. Clinical studies suggest that the dialyser
membrane material36 and/or clinical events37 play a significant role, while laboratory studies
emphasise the importance of monocyte activation due to backtransport of contaminated
dialysate. Since an elevation of pro-inflammatory cytokines and/or CRP is already observed
early in CRF,38 39 factors related to uraemia per se appear to be involved as well.
5.2.3 endothelial dysfunction
Endothelial dysfunction is the dysregulation of homeostatic mechanisms, which normally
operate in healthy endothelial cells. Dysfunction of the endothelium is a critical factor in the
pathogenesis of vascular disease.40 A variety of endothelial cell derived products, including
circulating adhesion molecules, are candidates for monitoring the condition of the
endothelium.41 High serum levels of adhesion molecules may predict future CVD.42
Whether induced by classical bio-incompatibility, monocyte activation and/or oxidative and
carbonyl stress, substantial evidence indicates that the HD procedure itself induces damage
of the endothelium. A number of studies showed an increase in thrombomodulin,43 vWF,44
sICAM-1, sVCAM-145 and E-selectine during clinical HD.46 Furthermore, markers of
endothelial (dys)function seem to be related to both the APR 42 and carotid IMT (CIMT).47 48
5.2.4 evidence / markers of atherosclerosis
At the initiation of renal replacement therapy, 74% of the patients show left ventricular
hypertrophy (LVH) on echocardiography.49 LVH is an independent CV risk factor both in
renal50 51 and in non-renal patients.52 Evidence has been obtained that stabilization or
regression of LVH improves the prognosis.53 54 LVH in chronic HD patients is influenced by
many factors, such as high BP,55 anaemia56 and parathyroid hormone levels.57
The extent of atherosclerosis, as found in the common carotid artery, shows a consistent and
significant relation with coronary artery disease.58 The CIMT is an independent risk factor for
CV events in the non-renal population59 60and a predictor of CV death in dialysis patients.61
In these patients, CIMT is increased as compared to normal controls.62 63 In cholesterol and
BP lowering trials in non-renal patients, regression of CIMT has been described.64 65
Aortic PWV is also a marker of individual CV risk,66 reflecting arterial stiffness. PWV proved
to be an independent predictor of CV mortality in patients with high BP67 and dialysis
patients.68 69 In addition, it appeared to be related to the amount of vascular calcifications.70
The prognostic value of aortic PWV measurements in patients with CRF was further
demonstrated in a cohort of 150 patients. 35 Subjects who received an ACE-inhibitor for BP
lowering and whose aortic stiffness improved had a considerably higher survival rate
compared to those subjects whose BP was lowered, but whose aortic stiffness remained
unaltered.
5.3 Technical aspects of hemodialysis and hemodiafiltration
5.3.1 hemodialysis
Today, HD is the most common used renal replacement therapy worldwide. The main
objective is the removal of excess fluid and toxic solutes from the patient.71 Despite the
relative efficiency of modern dialysers, HD remains inferior to normal kidney function. 72 Not
only small molecules, such as creatinin and urea, but also so-called ‘middle molecules’ as
well as some larger substances are cleared only inadequately by HD. Hence, ‘uremic toxins’
accumulate in chronic HD patients. In addition, undesirable interactions occur between the
patient and the various components of the extra-corporeal-circuit (ECC), termed ‘bio-
incompatibility’ (BI).73
5.3.2 flux, diffusion and convection
In the Netherlands, standard HD treatment consists of bicarbonate dialysis with low- or high-
flux dialysers. Small MW substances (< 500 D) are cleared almost exclusively by diffusion,
driven by the concentration gradient between blood and dialysate. The most important
clearance route for middle and large-middle MW (2-50 kD) substances is by convection,
occurring passively with the flux of water through the membrane. During low-flux HD
(ultrafiltration [UF] coefficient < 10 ml/mmHg/h), solutes are almost exclusively cleared by
diffusion. Convective transport is practically zero, since UF is restricted to the required weight
loss and the membrane prohibits the sieving of larger solutes. Apart from small MW
substances, small middle MW (MMW) substances (500–2000 D) are cleared by diffusion as
well.74 In high-flux HD (UF coefficient > 20 ml/mmHg/h), solutes are cleared by both diffusion
and convection. Total UF can surpass the required weight loss by internal filtration, which
increases convective transport to a variable amount (ca 9 l/session).75 76 Finally, clearance of
MMW molecules occurs to a variable extent by adsorption onto the dialyse membrane.77
5.3.3 hemodiafiltration
During hemodiafiltration (HDF), fluid removal exceeds the desired weight loss of the patient.
Fluid balance is maintained by the infusion of a pyrogen-free solution. Dialysate is used to
create a concentration gradient for solute removal by diffusion, as in standard HD. The
clearance of larger solutes is increased by using excess UF to provide solute removal by
convection. 78 In recent years, on-line preparation of infusate has become available for
clinical practice.79 80 With this modality, the volume of substitution fluid and hence UF rate
can be increased considerably (up to 60 l per treatment), without increasing costs or handling
of prepared fluid bags. Thus, the amount of MMW molecules removal occurs as follows: low
flux HD < high flux HD < HDF.
5.4 Potential advantages of techniques with high convective transport
5.4.1 uremic toxins
Age-peptides: High-flux membranes appear to be more effective in the removal of AGE-
peptides than conventional low-flux dialysers (reviewed in 81). Interestingly, in a long term
study with super-flux dialysers (UF coefficient > 60 ml/mmHg/h), serum AGE levels were
lowered to the largest extent, if compared to conventional low flux and high flux dialysers.82 83
These results suggest a significant influence of convective transport on AGE-levels, which
might be mediated by the removal of uremic toxins promoting AGE-formation. In contrast, a
cross-sectional study on high-flux HD and HDF showed comparable AGE-levels. 84
Lipids: After HD with high flux dialysers the atherogenic profile of chronic HD patients
improved 18 19 , due to a decline in triglyceride levels85 and Lp(a)86 values, whereas these
levels were unchanged after HD with low flux HD.87 88 89 Because triglycerides can not be
cleared by the dialyser, another mechanism, such as the removal of a dialyzable factor
influencing triglyceride metabolism,82 possibly low-molecular weight AGEs,90 might explain these results. Homocysteine: Although Hcy levels were reduced after a single HD treatment,91 pre-dialysis values remained stable after 3 months of high-flux HD.92 In contrast, during HD with super-flux membranes, Hcy levels were reduced in the long term,93 suggesting a role for convective clearance of uremic toxins influencing Hcy-metabolism. The effect of HDF on Hcy-levels is not known. CRP: The effects of dialyser membrane material94 and/or clinical events37 on CRP levels in chronic HD patients seem to outweigh the effects of flux characteristics in clinical HD. In HDF higher UF volumes seem to be related to less cytokine production95 and/or lower CRP levels, if compared to lower UF-volumes.96 Whether this phenomenon is related to the removal of undefined uremic toxins and hence convective transport remains to be established. 5.4.2 markers of atherosclerosis As far as we know, the effect of different dialysis techniques on CIMT and aortic PWV has not been investigated so far. In a recent, small prospective randomised study, a 17 % decrease in left ventricular mass index (LVMi) was shown during acetate free biofiltration (AFB), in contrast to an 18% increase in LVMi after 1 year of high flux HD. 97 5.4.3 cardiovascular stability Symptomatic hypotension is the most frequent intra-dialytic complication during clinical HD. Several studies suggest that dialysis techniques, which are based on convective transport, provide better hemodynamic stability than diffusive techniques.98 99 This effect seems not to be mediated by differences in dialyser material, type of dialysate, sodium balance or rate of solute removal.100 Furthermore, since HDF and hemofiltration (HF) appear to offer comparable hemodynamic stability, neither the presence nor the absence of dialysate seems to play a role. The difference in heat balance and subsequent vasoconstriction during dialysis with convective techniques might account for the better hemodynamic stability.101 102 103 5.4.4 cardiovascular and all-cause morbidity and mortality Large retrospective studies have clearly shown that HD with high flux dialysers results in both lower morbidity and mortality than HD with low flux devices.104 105 106 However, in most of these investigations biocompatible high-flux membranes were compared with low-flux bio-incompatible materials. Hence, it remains unclear whether the flux or biocompatibility characteristics of the dialyser explain these differences. In two recent observational studies, a beneficial effect of convective clearance on patient survival was suggested. 107,108 However, although the latter studies encompass large numbers of patients, the survival benefit was not significant or very small. Moreover, information on dialyser biocompatibility was not available. Recently, relatively high survival rates were reported in patients who were treated with on-line HDF, if compared to the EDTA registry data.109 However, both retrospective and prospective observational studies are subject to bias through a confounding by (contra) indication mechanism: i.e., the assignment to HDF is related to having either a high risk (indication) or having a low risk of future events (contra-indication). As a consequence, HDF patients may not have a similar risk profile at the start of the study, if compared to non-HDF patients. Finally, a small prospective randomised study (n=44) , comparing low flux HD with on-line HDF failed to show any effect of treatment on clinical parameters and survival.72 Yet, this study was too small to provide definite conclusions on the efficacy of HDF. Lastly, in a prospective trial (HDF: n=50; high-flux HD: n=51;low-flux HD: n=279), no differences in treatment tolerance, nutritional status and patient survival were observed.110 However, the latter results are debatable as the number of patients in each group was relatively small and the follow-up period rather short. Taken together, so far no reliable data are available on the effect of HDF on survival and morbidity in patients with CRF. Therefore, based on the above-mentioned theoretical considerations, the outcome of
surrogate end-points and the lack of reliable data on morbidity and mortality, in
combination with the growing interest in convective techniques under nephrologists,
a randomized prospective study of sufficient sample size is proposed.
6. STUDY OBJECTIVES

6.1 Primary objectives:
-
To assess the effect of on-line HDF on fatal and non-fatal cardiovascular events, if compared to standard low-flux HD. To assess the effect of on-line HDF on all cause mortality, if compared to standard low-flux HD.
6.2 Secondary objectives:
-
to assess the effect of on-line HDF on the progression of left ventricular hypertrophy, as assessed by echocardiography, if compared to standard low-flux HD; to assess the effect of on-line HDF on the progression of atherosclerosis as assessed by measurement of carotid intima-media thickness, if compared to standard low-flux HD; to assess the effect of on-line HDF on the progression of arterial stiffness, as assessed by measurement of aortic pulse wave velocity, if compared to standard low-flux HD; to assess the effect of on-line HDF on endothelial function, as assessed by vWF, sICAM-1, sVCAM-1 and s-E selectine , if compared to standard low-flux HD to assess the effect of on-line HDF on the micro-inflammatory state, as assessed by CRP, if compared to standard low-flux HD; to assess the effect of on-line HDF on lipid profiles, as assessed by cholesterol, HDL-cholesterol, triglycerides and Lp(a) , if compared to standard low-flux HD; to assess the effect of on-line HDF on markers of oxidative stress, as assessed by oxidized LDL, 2-OH deoxyguanosine, asymmetric dimethyl arginine (ADMA), 8-isoprostane, carboxymethyllysine (CML), TBARS and GSSG/GSH, if compared with low-flux HD; to assess the effect of on-line HDF on various other uremic toxins, as assessed by homocysteine and ß-2-microglobulin , if compared to standard low-flux HD; to assess the effect of on-line HDF on quality of life, as assessed by a questionnaire, if compared to low-flux HD; to assess the effect of on-line HDF on nutritional state, as assessed by pre-albumin, dry weight and subjective global assessment (SGA), if compared to low-flux HD. 7. DESIGN OF THE STUDY

The study is designed as a open, parallel group, randomised controlled intervention study.
7.1 Patients
7.1.1 Inclusion and exclusion criteria
Inclusion criteria are:
-
patients treated by HD 2 or 3 times a week, for at least 2 months. patients able to understand the study procedures. patients willing to provide written informed consent. treatment by HDF or high flux HD in the preceding 6 months life expectancy < 3 months due to non renal disease participation to other clinical intervention trials evaluating cardiovascular outcome***
* In Europe, the median age at the start of HD therapy was 60 years (proportion of new HD-
patients 60-69 yr: 25%, >70 yr: 27%).111 Thus, chronic HD patients tend to be still older.
Since the study results might be of importance for HD patients of all ages, it seems irrational
to exclude patients > 70 years. Thus, no upper age limit is applied.
** severe non-adherence to the dialysis procedure and accompanying prescriptions,
especially frequency and duration of dialysis treatment and fluid restriction.
*** Participation of patients to other (e.g. observational) studies will be discussed with and
decided by the executive committee.
7.1.2 Participating centers
All dialysis centres which are able to perform on-line hemodiafiltration in the Netherlands will
be asked to participate in the study to obtain a total patient number of 772. As of yet, 17
centres have agreed to participate in the study. Participating centres should include a
minimum of 10 patients.

7.2 Study approach
7.2.1 stabilisation period
Before randomisation, patients will be dialysed on low-flux synthetic dialysers. During this
period, treatment times will be determined in order to achieve an adequate dialysis dose,
according to DGN-standards (target dialysis spKt/V ≥ 1.2/treatment).
7.2.2 randomisation
As soon as patients are considered to be ‘stable’, patients will be randomized by the Julius
Center Randomisation office. Patients will be randomized into a 1:1 ratio for treatment with
on-line hemodiafiltration (HDF) or continuation of treatment with low-flux hemodialysis (HD)
during 3 years. Randomisation will take place stratified by participating clinic.

7.3 End points
7.3.1 Primary end points
-
non-fatal and fatal cardiovascular events laboratory assessments (routine – according to DGN guidelines; oxidative stress; acute phase response; lipid profile; various)
7.4 Practical implementation
7.4.1.1 Hemodialysis: patients will be dialyzed 3 times (or 2 times) a week with a synthetic low-flux membrane (UF-coefficient < 12 ml/mmHg/h, sterilization by steam or γ-irradiation) during the stabilisation phase. Blood flow will be maintained at 250-300 ml/min. Anticoagulation is performed with low molecular weight heparin (LMWH) before HD. Patients on coumarins will receive 50% of the LMWH dose. Treatment times will be adapted to a target dialysis spKt/V urea of ≥1.2 / treatment. 7.4.1.2 Dialysate: Ultrapure water is used for preparation of dialysis fluid. Bicarbonate is provided from powder cartridges to avoid the risk of a bacterial load from bicarbonate concentrates. For instance, the biBAGR system (Fresenius) and BiCartR system (Gambro) will be used. The dialysate flow is 500 ml/min in HD. The temperature of the dialysate is 36oC. 7.4.1.3 Metabolic control: metabolic control will be performed according to the guidelines of the Nederlandse Federatie voor Nefrologie / Kommissie Kwaliteitsbewaking (NFvN/KK: anemia / calcium- and phosphate levels / acidosis). 7.4.1.4 Medication: antihypertensive medication, lipid lowering therapy, inhibition platelet aggregation and medication to treat renal anemia and renal osteodystrophy will be prescribed according to the NFvN/KK guidelines, and if not available according to common practice. 7.4.1.5 Randomisation: After the stabilisation period, patients will be randomised centrally to
either treatment with low-flux HD, or treatment with on-line HDF (1:1). Stratification will be
performed for the participating centres.

7.4.2 Study period
7.4.2.1 Hemodialysis: HD treatment, as performed in the stabilisation period, will be
continued. Treatment times will be adjusted only of dialysis spKt/V urea < 1.2 / treatment.

7.4.2.2 Hemodiafiltration: Patients will be treated with (on-line) HDF, target dose postdilution
6 l/h (~100 ml/min) and a high-flux synthetic dialyser (UF-coefficient > 20 ml/mmHg/h,
sterilization by steam or γ-irradiation). Blood flow, anticoagulation and treatment times will be
fixed according to the prescription in the stabilisation period. If the blood flow is less than 300
ml/min, the postdilution volume will be decreased accordingly (filtration and postdilution
<33% of blood flow). If necessary, LMWH will be given in two separate doses. The treatment
time will be adjusted only when spKt/V urea is < 1.2 / treatment.
7.4.2.3 Metabolic control: see ‘stabilisation period’.
7.4.2.4 Medication: see ‘stabilisation period’.

7.4.3 Dialysis procedure:
7.4.3.1 Dialysate: ultrapure water is used for preparation of bicarbonate-containing dialysis
fluid, which undergoes one step of ultrafiltration converting it into ultrapure dialysis fluid.
Dialysis fluid is produced at a rate of 600-800 ml/min of which approximately 100 ml/min is
diverted for further processing into substitution fluid. The electrolyte composition of the
dialysis fluid is: Na 138-140 mmol/l; K 1.0-3.0 mmol/l; HCO3 30-35 mmol/l; Ca 1.0-1.7 mmol/l;
Mg 0.5 mmol/l; Cl 108-109.5 mmol/l; glucose 0-5.6 mmol/l; acetate 3 mmol/l.
7.4.3.2 Infusate/ the on-line system: The substitution fluid is prepared from the dialysis fluid
by one additional step of controlled ultrafiltration, before it is infused post-filter into the blood.
The electrolyte composition of the substitution fluid is the same as the composition of the
dialysis fluid. Ultrafiltration procedures will be performed according to the manufacturers’ instructions. For instance: - the on-line system, ONLINEplus™ (Fresenius Medical Care, Bad Homburg, Germany) is integrated into the dialysis machine (4008 series; Fresenius Medical Care) and consists of two ultrafilters (DIASAFE® plus), an infusate pump module, and disposable infusate lines. Infusate is prepared continuously by double-stage ultrafiltration. Both filters are subjected to automated membrane integrity tests before dialysis, and are replaced after 3 months of use. Dialysis fluid downstream from the first filter stage enters the dialyser; part of the stream is subjected to cross-flow filtration in the second filter in order to produce infusate. The infusate stream is connected with the venous bubble catcher for post-dilutional HDF. - an AK 100/200 ULTRA dialysis machine (Gambro AB, Lund, Sweden) prepares ultrapure water and ultrapure dialysis fluid by stepwise ultrafiltration of water and bicarbonate –containing dialysis fluid (BiCart) using two polyamide ultrafilters (U 8000 S). When used for HDF, sterile non-pyrogenic solution is prepared on-line from the ultrapure dialysis fluid by an additional step of ultrafiltration using a sterile polyamide ultrafilter (U2000) integrated in a sterile line set (Steriset). The hygiene of the fluid pathway, including the U8000S ultrafilters, will be assured by heat disinfection after each treatment. The U8000S filters are changed bimonthly. The final ultrafilter (U2000) is employed on a single-use basis. 7.5 Data collection
7.5.1 Baseline data
Medical information will be obtained from the medical records and nephrologists in charge
before the start of the study: i.e. demographical data, cardiovascular risk factor information,
time on dialysis, cause of renal insufficiency, medical history (co-morbidity), and medication.
A dedicated case report form to asses baseline data will be provided. This form is designed
in teleform, which allows to put the information on the sheet directly into a study database
(Teleform). Thus, in principle no data entry by typing is needed.
7.5.2 Recording outcome events
Follow-up will be performed through the nephrologist, since the patients are seen at their clinic 2 or 3 times a week. Every 3 months, the investigators will visit the participating centers, where they will interview the nephrologists personally and review the case records of the patients on the occurrence of CV events or death. CV events include a fatal or non-fatal myocardial infarction, stroke, lower extremity arterial disease, therapeutic coronary procedure (PTCA/stenting), therapeutic carotid procedure (endarteriectomy/stenting), vascular surgery (revascularisations), and angina pectoris. Congestive heart failure is excluded, since the discrimination with fluid overload is often hard to make. Furthermore, hospitalisations, the duration of the hospitalisations and main diagnosis (including the occurrence of infections) will be recorded during the study period. When an event has occurred, the date of the event is being recorded and information on the event is copied from the medical records for review by an event committee. Events will be coded independently from information on the received treatment. Events will be coded as fatal and non-fatal, definite, probable and possible and not codeable (i.e., insufficient information). Only definite and probable events will be used for the analysis. This procedure is currently successfully applied in a number of studies coordinated by the Julius Center, e.g. in the SMART study.112 Data forms from the SMART study will be used and changed for the current trial if needed. 7.5.3 Observations during HD/HDF Dry weight and UF volume will be recorded for each treatment, as well as the achieved filtration/substitution dose per treatment. Left ventricular mass index (LVMi) will be assessed by echocardiography at baseline, and after 6 months, 12 months and annually afterwards, on a midweek non-dialysis day. Left ventricular end diastolic diameter (LVEDD), left ventricular ejection fraction (LVEF), posterior wall and septal thickness will be determined as well, and recorded on videotape. Videotapes will be evaluated centrally by experienced cardiologists, blinded for the treatment modality. With respect to carotid intima-media thickness (CIMT), the outcome is the change in mean common CIMT, defined as the average of the intima-media thickness measurements performed circumferentially at pre-defined angles for the near and far wall of 10 mm segments of the right and left distal common carotid arteries, the far wall of the bifurcation and the far wall of the internal carotid artery. A limited number of centers is going to be involved in the CIMT measurements in this study. Centers will be trained according to a central uniform carotid ultrasound protocol. Before actually starting the study, sonographers need to be certified as outlined in the CIMT ultrasound protocol. Measurements will be performed at baseline and then annually on a midweek non-dialysis day.The ultrasound scan is being recorded on videotape and analyzed off line by a core laboratory. QA/QC procedures as existing and applied in several (inter)national trials will implemented. Pulse wave velocity (PWV) is determined to provide additional information on functional changes of the arterial wall. The outcome measurement is the change in aortic PWV. A limited number of centers is involved in the PWV measurements in this study. Centers will be trained according to a central uniform PWV protocol. Before actually starting the study, technicians need to be certified as outlined in the protocol. Measurement data are checked regularly on quality control aspects as defined in the protocol (see appendix). Measurements will be performed at baseline and then annually on a midweek non-dialysis day. At base-line, after 1, 2 years and at the end of the study, nutritional state is assessed by subjective global assessment (SGA),113 pre-albumin and dry weight. Patient well-being will be estimated at base-line, and once a year by the Kidney Disease Quality of Life Short Form (KDQOL-SF), which is validated for dialysis patients.114 115 7.5.8 Laboratory assessments
At base-line, and after 6, 12, 18 months and then annually, blood samples will be drawn from
the arterial line before a dialysis session. Patients will be fasting, and the samples will be
drawn before the administration of low molecular weight heparin (LMWH). In these samples,
the following markers will be assessed:
routine assessments, as indicated by the DGN: Hb, Ht, phosphate, calcium, parathyroid hormone (PTH); spKt/V urea (monthly), residual renal function (expressed as the mean of urea and creatinin clearance in an interdialytic 24 hour urine collection; every 3 months). acute phase response: C-reactive protein (CRP) lipid profile: low density lipoprotein (LDL)-cholesterol, high-density lipoprotein (HDL)-cholesterol, Lp(a), triglycerides oxidative and carbonyl stress: circulating oxidized low-density lipoprotein (oxLDL), carboxymethyllysine (CML), asymmetric dimethylarginine (ADMA), 2-OH deoxy guanosine, 8-isoprosatane, GSSH/GSH, TBARS endothelial dysfunction: von Willebrand factor (vWF), soluble intercellular adhesion molecule (sICAM-1), soluble vascular adhesion molecule (sVCAM-1) various: total homocysteine (Hcy), ß2-microglobulin (ß2-m), pre-albumin A detailed protocol concerning the collection, preparation, processing , short-term and long-
term storage as well as archiving is currently being developed. A present citrate, EDTA and
serum sample will be stored for later determinations. In addition, buffy-coat will be stored for
future research possibilities on the genetic effects on the response to HDF, after permission
of the patients (in the informed consent form).

7.6 Statistical methods
7.6.1 Primary outcomes
The results of the study will be analysed following the ‘intention to treat’ principle. This means
that for the analyses subjects will remain in the group they have been allocated to by the
randomisation. Results will be presented as Kaplan-Meier curves for the two treatments and
the difference between the treatments will be analysed using a log-rank test. For the primary
outcome variables the log-rank test will be adjusted for the effect of the cumulative data
analyses. Results will be presented for all cause mortality and CV events separately.
An exploratory analysis will be performed using the ‘on treatment’ approach, i.e., analyses in
which subjects are being categorised to the actual treatment they have received.
7.6.2 Secondary outcomes
The primary analysis of CIMT progression will employ a linear random coefficient (Laird-Ware) model using real visit days, treatment and clinical center as independent variables. For each participant, the intercept and slope of CIMT change over time is assumed to be a normally distributed random variable with different means for the two treatment groups. The mean slope for the HDF treatment group will be compared to that for the low flux group using linear contrasts and a 5% significance level. All analyses will be based on an intention-to-treat approach, although a per-protocol sample will also be examined. Additional exploratory analyses will evaluate the impact of including baseline IMT, lumen diameter, ultrasound reader, and center as additional co-variates. The data analytic approach to arrive at the PWV outcome variable and the LVM outcome variable is similar to that of the CIMT outcome. Adjustments that will be taken into account in the estimates are changes in MAP and changes in heart rate, since both are closely related to PWV. 7.6.3 Sample size considerations 7.6.3.1 Primary outcome The sample size of the present study is based on the following event rates: the 3 year all cause mortality rate among subjects with ESRD is 44% based on RENINE data. CV mortality constitutes 40-60% of the total group of deaths, leading to a 3 year CV mortality rate of 22% in HD patients. Assuming that the incidence of non-fatal CVD is equal to the CV mortality rate (22%), we assume a three year incidence of fatal and non-fatal CVD of 44%. In addition, based on experience around 8% of the ESRD patient will undergo renal transplantation yearly and as such is being censored in the trial. Assuming that HDF will reduce all cause mortality with 20%, we estimate that with a two-sided alpha of 0.05 and a power of 80%, about 772 patients need to be enrolled and followed for three years. In these patients we expect about 250 events to come to a decision. Assuming that HDF will also reduce the incidence of fatal and non-fatal CVD with 20%, we estimate that with a two-sided alpha of 0.05 and a power of 80%, the same amount of patients need to be enrolled and followed for three years. (Note that the total number of patients to be included can not be specified in advance because of the planned sequential [interim] analyses.) 7.6.3.2 Secondary outcomes The sample size consideration with respect to measures of vascular damage (atherosclerosis) are based a number of issues: - The estimated progression rate in HD patients - The estimated standard deviation of the individual progression rates - The effect the treatment would have on the progression rates. For CIMT and PWV these estimates are not available for HD patients, so we have to rely on
data from other patients, e.g. patients with coronary heart disease.
For common CIMT among subjects with hyperlipidemia or hypertension or subjects with
previous CV disease a median annual progression rate in CIMT of 0.021 mm/yr was found in
the placebo groups of randomised controlled trials. Because CIMT progression rates for HD
patients are lacking, data on the standard deviation of the CIMT progression estimate for an
individual is also lacking. From the overview of placebo groups of several randomised
controlled trials, a median standard deviation for the common CIMT was found of 0.053
mm/yr. With these estimates, we are able to detect a treatment effect of 80%, with a power of
80% and a two-sided alpha of 5% using 155 patients per treatment arm.
The above mentioned data for PWV are even more limited than that for CIMT. Based on
cross-sectional data among healthy men aged 40-80 years, an increase in PWV per year is
around 0.42 m/s. The standard deviation of repeated PWV measurements, as an estimate of
the progression rate, is 1.0 m/s. With these estimates, we are able to detect a treatment
effect of 80%, with a power of 80% and a two-sided alpha of 5% using 138 patients per
treatment arm.
The above mentioned data for LVMi are even more limited than for PWV and CIMT. Based
on two observational studies among patients who were on dialysis, 54,116 the estimated mean
change in LVMi, assessed using 2D echocardiography in a 3 year period is around 10 g/m2
with an estimated SD of 47. With a sample size of 155 subjects per treatment arm as needed
for CIMT measurements, we will be able to detect a treatment effect of 150% with a power of
80% and a two-sided alpha of 5%.
7.6.4 Interim analysis
In this study, sequential (interim) analyses will be performed. The reason for this approach is
that on average less patients are needed in the study when the expected difference in the
primary outcome variable is real or when no difference can be expected anymore. Sequential
analyses are performed on survival outcome variables according to the double triangular test
as described by Whitehead117 and implemented in the computer programme PEST version
4.118 The sequential (interim) analyses will be performed by an independent data monitoring
board (DMB).
This DMB will be initiated to evaluate the findings of the interim analyses. The DMB consists
of a biostatistician (chairman), a nephrologist, an internist, a vascular surgeon and a clinical
epidemiologist. The steering committee will provide the DMB every 2 months with the
relevant database to perform the unblinded analyses. The main task of the DMB is to decide
whether the analyses provide definite proof of either efficacy or no efficacy with respect to
the primary outcome. The limits upon which these decisions are to be decided have been
defined at the start of the study by the steering committee, advised by the biostatistician I.
van der Tweel.

7.7 Publication of the study results
The results of the study will be published in peer reviewed, international medical
(nephrology) journals. Possible sponsors will not have influence on the publication of the
results, irrespective of their nature.
Main findings will be written by the executive committee members and published by the
executive committee members on behalf of the study group. All other papers will be
published by various authors, on behalf of the study group. Papers additional to the main
research question will be discussed in the executive committee. Writing groups will be
assigned, with one person taking the lead and being mainly responsible.
8 SPECIAL CONSIDERATIONS / ETHICAL ASPECTS
8.1 special considerations for the participating patients
8.1.1 possible inconveniences for the patient: During the study, patients will be dialyzed
according to their previous prescription times at their usual treatment days and time. During
the study, they will be treated with either HD, or HDF. Neither treatment is an extra burden to
the patient. Once a year, the following investigations will be performed, preferentially on the
same day: echocardiography, vessel wall measurements, assessment of nutritional state and
quality of life.
Blood samples will be taken just before dialysis from the blood lines, in order to avoid extra
vena-punctures. The amount of blood taken for analytical purposes might be an
inconvenience for the participants of the study. However, since HD patients are kept at a
stable hemoglobin (Hb) level of about 7.0 mmol/l with erythropoietin, any possible decrease
in Hb will be compensated for.
8.1.2 possible advantages for the patient: Patients might be feeling better by the
investigational treatment. Their phosphate levels might be somewhat lower, resulting in less
extra-ossal calcifications and itching. Today, generally, nephrologists treat patients with high
volume HDF only if they suffer during dialysis from hemodynamic instability, or from itching.
However, if the superior clearance of MMW substances by HDF is clinically relevant,
treatment with HDF might show important benefits on the long term (dialysis related
amyloidosis, atherosclerosis, and other complications of the uremic syndrome).
8.1.3 safety measures: clinical HD is a well-controlled treatment. One specialized dialysis
nurse is taking care of two or three patients. Regular checks (1-2/hr) of blood pressure, pulse
rate and clinical well being are performed.
For on-line HDF, strict guidelines for dialysis fluid purity are mandatory. The production of
ultrapure water should be ascertained by detailed quality standards. The chemical and
bacteriological purity of the dialysate will be monitored routinely and regularly. All
participating centres will adopt a functioning protocol for quality control, and register their
results.
8.1.4 research and professional care: all participants can withdraw freely from the study
whenever they want. Withdrawal will not interfere with their medical care. Participation to the
study will be stopped if the clinical situation suggests any treatment-related problem. On-line
HDF is already applied in several centres in The Netherlands and Europe.
8.1.5 participation and informed consent: Patients treated with HD in the participating centres
will be asked to participate in the study by the investigators. Participation is possible after
giving written informed consent.
8.1.6 medical information and data: Medical information about the patients and data collected
for the study are confidential, and only available to the investigators and doctors involved in
the medical care of the patients.
8.2 special considerations concerning the relevance of the study
8.2.1 scientific relevance: In chronic HD patients both signs of an APR, increased oxidative
stress and endothelial dysfunction have been described extensively. These phenomena
appear to be related to atherosclerosis, which is one of the main clinical problems in this
patient group. Therefore, it is of utmost importance to unravel the mechanisms responsible
for these phenomena and to look for dialysis modalities which are able to attenuate these
side effects of HD. If on-line HDF provides an improvement in CV morbidity and mortality,
this means a breakthrough in the treatment of CRF patients, and in the understanding of
uremic toxicity.
8.2.2 general relevance, worldwide more than a half million patients depend on HD for their
survival. However, as mentioned before, chronic HD patients are subject to high morbidity
and mortality, which seems mainly due to the fact that HD treatment is inferior to normal
kidney function. Thus, a continuous effort is made to improve dialysis therapy, in particular by
the development of dialysis techniques which provide higher convective clearance. Based on
current knowledge, it is to be expected that both survival and quality of life of chronic HD
patients will improve substantially in the forthcoming years.
9. INSURANCE
The Medical Ethical Committee of the VU Medical Center decided that the present study
poses no risks of any harm or death or injury to the participants. Hence, exemption of
insurance was provided. Participants in the study will be informed about this decision by the
patient information letter.


10. TRIAL ORGANISATION
10.1 Trial coordinating centre
The trial coordinating center will be located in the Vrije Universiteit Medisch Centrum,
Amsterdam, and project management and data mangement will be performed by the Julius
Center, Utrecht Medisch Centrum, Utrecht. The data management approach taken in this
trial is similar to the one used in the SMART-study,112 but of course dedicated and modified
specifically to the current trial. The trial coordinating center consists of:
dr M.P.C. Grooteman, internist / nephrologist, VUmc (study coordinator)
dr M.L. Bots, epidemiologist, Julius Center, UMC (data manager)
E. Ram, Julius Center, UMC (project manager)
10.2 Executive committee
The nephrologists and epidemiologist who initiated the study, as well as the two research
physicians (one vacant) will constitute the executive committee. The executive committee will
meet regularly and decide on practical issues concerning the study. Furthermore, this
committee will inform the participating nephrologists on the progress of the study. Members
of the executive committee are:
dr P.J. Blankestijn, internist/nephrologist, UMC (chair)
dr M.L. Bots, epidemiologist, UMC
dr M.A. van den Dorpel, internist/nephrologist, MCRZ-Clara
dr M.P.C Grooteman, internist/nephrologist, VUmc
prof. dr M.J. Nubé, internist/nephrologist, Medical Center Alkmaar / VUmc
prof. dr P.M. ter Wee, internist/nephrologist, VUmc (chair)
research physicians:
drs E.L. Penne
one research physician vacant
10.3 Steering committee
The steering committee consists of nephrologists of the participating centers. Members of the
steering committee are:
dr J.J. Beutler, Jeroen Bosch Medicentrum, ’s Hertogenbosch
dr W.H. Boer, Utrecht Medisch Centrum, Utrecht
dr E.F.H. van Bommel, Albert Schweitzer Ziekenhuis, Dordrecht
mevr. dr M. van Buren, Leyenburg Ziekenhuis, Den Haag
dr. A. van Es, Ziekenhuis Hilversum, Hilversum
dr G.W. Feith, Gelderse Vallei Ziekenhuis, Ede
dr W. Bax, Medisch Centrum Alkmaar, Alkmaar
dr A.B. Geers, Sint Antonius Ziekenhuis, Nieuwegein
J.O. Groeneveld, Onze Lieve Vrouwe Gasthuis, Amsterdam
W.P. Haanstra, Scheper Ziekenhuis, Emmen
dr H.W. van Hamersvelt, Universitair Medisch Centrum St Radboud, Nijmegen
F. de Heer, Maaslandziekenhuis, Sittard
C.T. op de Hoek, Sint Fransiscus Gasthuis, Rotterdam
dr M.P. Kooistra, Stichting Dianet, Utrecht
dr C.J.A.M. Konings, Catharina Ziekenhuis, Eindhoven
dr J.P. Kooman, Academisch Ziekenhuis Maastricht, Maastricht
mevr. dr M.G. Koopman, Academisch Medisch Centrum, Amsterdam
dr T. Kremer Hovinga, Martini Ziekenhuis, Groningen
dr W.H.M. van Kuijk, VieCuri Medisch Centrum, Venlo
P.B. Leurs, Stichting Oosterscheldeziekenhuizen, Goes
dr L.J.M. Reichert, Ziekenhuis Rijnstate, Arnhem
M.J.M. Schonck, Westfries Gasthuis, Hoorn
dr C.E.H. Siegert, Lucas/Andreas Ziekenhuis, Amsterdam
dr P.J.G. van de Ven, Medisch Centrum Rotterdam Ziekenhuis, locatie Clara
M.G. Vervloet, Vrije Universiteit Medisch Centrum, Amsterdam
10.4 Event committee
This committee will evaluate the following clinical events: cause of death, non fatal
myocardial infarction, non fatal CVA, non fatal vascular events. The primary investigators will
collect information on mortality and CV events for the event committee (see: data collection).
The event committee will consist of persons with different specialisations; a neurologist, a
vascular surgeon, an internist, a cardiologist and an epidemiologist (to be determined).
10.5 Data monitoring board
The data monitoring board (DMB) performs statistical analyses of unblinded interim data and
formulates recommendations for the steering committee on the continuation of the trial. The
DMB may also offer unsolicited recommendations on the continuation of the trial, for example
after publication of results of similar trials. Members of the DMB are:
I van der Tweel, biostatistician, Centrum voor Biostatistiek (chair)
prof. dr D.E. Grobbee, clinical epidemiologist, UMC
dr R. Zietse, internist/nephrologist, AZR
prof. dr J. Rauwerda, vascular surgeon, VUMC
prof. dr A.J. Rabelink, internist / vascular medicine, UMC.
The chair of the DMB (I. van der Tweel) will be provided interim datasets at regular intervals
(once every 2 months) to perform sequential analyses. When appropriate, given the results
from the interim analysis, I. van der Tweel will call for a meeting with the other DMB
members or otherwise contact the DMB members.
10.6 Advisory committee
The advisory committee comprises of Dutch leaders in a certain field of medicine. Members
of the advisory committee will be consulted when issues arise before, during and after the
trial on their field of expertise. Members of the advisory committee who have agreed to
participate are:
dr P. Boer, biochemist, UMC
dr M.J. Cramer, cardiologist, UMC
dr O. Kamp, cardiologist, VUmc
prof. dr B. van Rossum, cardiologist, VUmc
prof. dr C.D.A. Stehouwer, internist, VUmc
dr C. Schalkwijk, biochemist, VUmc
dr T. Teerlink, biochemist, VUmc.
11. LIST OF ADDENDA
Addendum I: The treatment of anemia in patients on hemodialysis or online hemodiafiltration.
12. LIST OF ABBREVIATIONS
ACE
European Dialysis Transplant Association 13. REFERENCES

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