Kidney Failure, Chronic Clinical Trial
Official title:
Randomized-controlled Clinical Trial for the Evaluation of the Efficacy of Computational Simulation for the Planning of Vascular Access Surgery in Hemodialysis Patients
Patients suffering from end-stage renal disease (ESRD) are dependent on renal replacement therapy (dialysis). The majority of dialysis is facilitated by hemodialysis. For hemodialysis a vascular access is necessary, preferable an arteriovenous fistula (AVF) in which a vein is directly anastomosed to an artery. In order to use the AVF for hemodialysis three criteria have to be met; the minimal flow over the AVF is 600 mL/min, the diameter is at least 6 mm, and the AVF is located less than 6 mm under the skin. Unfortunately, approximately half of the patients (50%) are confronted with an AVF that does not meet these criteria; the so called non-maturation or primary failure. In case of non-maturation the AVF is not only unusable for dialysis, but also requires reinterventions on short- and long-term. Firstly to mature the AVF, and secondly, when the AVF is matured, to keep the vascular access. Using a computational simulation postoperative flow can be predicted. Based on patient-specific duplex measurements, the model can calculate the flow that can be expected following vascular access surgery for all AVF configurations; fore- or upper arm. These calculations lead to an advice which configuration is indicated; a flow that exceeds 600 mL/min, leading to maturation. Potentially the aforementioned 50% of non-maturation can be reduced. The patient then has an adequate vascular access and reinterventions are adverted, resulting in a decrease of costs, hospital demand, and an increase of the patients' quality of life. When the expected reduction of non-maturation is confirmed, the computational tool can be offered to other hospitals.
End-stage renal disease (ESRD) is a major and growing healthcare problem associated with
substantial costs. By the end of 2010 the global patient population requiring chronic renal
replacement therapy (RRT) exceeds 2 million, of which approximately 90% relies on
hemodialysis (HD). The number of patients dependent on RRT are expected to annually increase
with 8%. Based on this figure, it is expected that in 2030, 7.3 million ESRD patients need HD
treatment. To facilitate adequate HD therapy a reliable vascular access (VA) is mandatory and
can be provided by either creation of an autologous arteriovenous fistula (AVF), a prosthetic
arteriovenous graft (AVG) or a central venous catheter (CVC). Guidelines by the National
Kidney Foundation (NKF K/DOQI Guidelines), the Vascular Access Society (Good Nephrological
Practice Guidelines) and the European Dialysis and Transplant Association (European Best
Practice Guidelines on vascular access) advocate the implementation of an all-autologous
fistula policy to maximize the use of AVF over AVG and CVC because AVF have the best
long-term patency, fewer complications and require less interventions once fully maturated.
Although the implementation of preoperative ultrasonography examination for vessel assessment
has reduced the number of early AVF failure by improving the selection of the most suitable
vessels and site for AVF creation, short- and long-term AVF dysfunction remains the major
cause of morbidity and hospitalisation in HD patients, and is therefore the major limitation
for HD treatment. This dysfunction is usually associated with non-maturation of the newly
created AVF or the formation of neo-intimal hyperplasia (NIH) which potentially results in
decreased access flow and eventual fistula thrombosis in up to 50% of AVFs. On the other
hand, the low resistance vascular traject via the AVF may lead to impeded perfusion of the
extremity distally of the AV anastomosis resulting in hand ischemia (HAIDI = Hemodialysis
Access Induced Distal Ischemia), while an abundant AVF flow may lead to the development of
left ventricular hypertrophy, both with potentially severe consequences. These high-flow
complications occur in approximately 20% of fistulae. Numerous studies have investigated
alternative preoperative mapping tools and criteria for reduction of AVF related
complications. However, current clinical use of these individual tools and parameters does
not take into account their potential interplay at a systemic level. Therefore one might
consider that multiple prognostic parameters within a single patient are likely more valuable
to improve outcome and therefore it is obvious to tailor the type of AVF to the individual
patient. A possible solution to deal with multiple independent prognostic factors is
implementation of a predictive patient-specific computational tool that relates geometrical,
mechanical and hemodynamical parameters by means of physical laws. As a result, the
computational tool takes the complex interplay between different prognostic parameters into
consideration and accounts for individual differences in anatomy, physiology, demography and
hemodynamics. Such an innovative computational tool opens new opportunities. By predicting
postoperative flow abovementioned deleterious events can possibly be prevented. High-flow
(>1500ml/min) and low-flow (<600ml/min) vascular access can then be predicted and
consequently be rejected and a more suitable AVF-configuration chosen.
Consequently, simulation of outcome after AVF creation is at hand. Recently, the feasibility
of VA computational simulation has been investigated and proven in the ARCH FP7 ICT-224390
project (ARCH; patient-specific image-based computational modeling for improvement of short-
and long- term outcome of vascular access in patients on hemodialysis therapy). Within this
technological and clinical study, longitudinal collection of cardiovascular data was
performed with the intention to develop, calibrate and validate patient-specific modelling
tools for surgical planning and assistance in the management of complications arising from
AVF creation. Given the difficult and heterogeneous patient population, the study protocol
was designed in such way that pre- and postoperative imaging could be performed strictly,
aiming at complete datasets of structural, functional and demographical data. Although the
computational simulation model has been validated in a small patient group, larger randomized
observational patient studies, aiming at evaluating the potential beneficial effect of the
use of computational tools in reducing AVF-related clinical problems, are needed.
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