Vascular Access Practice in Hemodialysis: Instrumental in Determining Mortality

Volume 53, Issue 3, Pages 359-362 (March 2009)
Vascular Access Practice in Hemodialysis: Instrumental in Determining Patient Mortality

Kevan R. Polkinghorne, MBChB, M Clin Epi, FRACP, PhDCorresponding Author Informationemail address

Refers to article:
Facility Hemodialysis Vascular Access Use and Mortality in Countries Participating in DOPPS: An Instrumental Variable Analysis , 16 January 2009
Ronald L. Pisoni, Charlotte J. Arrington, Justin M. Albert, Jean Ethier, Naoki Kimata, Mahesh Krishnan, Hugh C. Rayner, Akira Saito, Jeffrey J. Sands, Rajiv Saran, Brenda Gillespie, Robert A. Wolfe, Friedrich K. Port
American Journal of Kidney Diseases
March 2009 (Vol. 53, Issue 3, Pages 475-491)
Abstract | Full Text | Full-Text PDF (354 KB)
Article Outline

• Acknowledgment

• References

• Copyright

Related Article, p. 475

Important epidemiological studies and findings often arise from very simple clinical observations. In a letter to Nephrology Dialysis and Transplantation in 1997, de Almeida and colleagues1 noted reduced survival in hemodialysis patients who required more than 1 vascular access over a period of 2.5 years of follow up. This short letter was (unusually) accompanied by an editorial comment by Woods and Port broadening the hypothesis and suggesting that commencing hemodialysis without permanent vascular access could be associated with increased patient morbidity and possibly mortality via an increased risk of infection and the delivery of a lower dialysis dose.2 They suggested that the effect of vascular access “on morbidity and mortality among incident haemodialysis patients should be tested in large prospective epidemiological studies. Ideally such studies should be based on a random national sample so that they are nationally representative rather than simply reflecting the practice of single centres.”

Since the publication of the editorial, a number of large observational studies have been published assessing the link between vascular access type and mortality.3, 4, 5, 6, 7, 8, 9, 10 All but 1 study7 found an association between vascular access type and patient mortality. Three early studies examined US-based cohorts demonstrating increased risks of death for both arteriovenous grafts (AVG) and catheters compared with native arteriovenous fistulas (AVF), respectively.3, 4, 6 However, these studies did not adjust for the presence of late referral, which is not only a marker of poor vascular access preparation and whether a patient receives a catheter,11, 12 but also is a predictor of early mortality in incident end-stage renal disease patients.13, 14 Subsequent studies, 1 each from the United States,8 Canada,10 and Australia/New Zealand,5 again suggested an increased risk of death with catheter but not necessarily AVG use, even after accounting for the presence of late referral and patient comorbidity. Finally, an analysis of data from the Hemodialysis (HEMO) Study again suggested a relationship between access type and mortality but also demonstrated a reduction in the mortality risk when there was a change from a catheter to either an AVF or AVG.9

Twelve years after the original hypothesis, Pisoni et al15 present an analysis of the Dialysis Outcomes and Practice Patterns Study (DOPPS) in this issue of the American Journal of Kidney Diseases exploring the relationship between vascular access and mortality in the United States, Europe, and Japan. Why, then, do we need another study given the consistency of the previous data? The major problem in examining any relationship between vascular access type and mortality is the presence of “treatment-by-indication bias” whereby patients with catheters are older and have greater levels of comorbidity, thus making it very difficult to exclude any residual confounding even after standard statistical adjustment. Researchers are able to make adjustments for the data they have, but often in observational cohort studies, other important known confounding factors have not been measured and therefore cannot be accounted for in any analysis. Late referral and other indicators of predialysis care are good examples of possible unmeasured confounding factors. In addition, there are likely other as-yet unknown confounding factors that cannot be accounted for. Randomized trials are able to deal with this issue but, clearly, a randomized trial of vascular access in hemodialysis comparing AVF to catheters, for example, cannot be ethically justified.

In recent times, various statistical techniques have been proposed as a way to deal with the issue of residual confounding in observational studies, including the use of propensity scores,16, 17 marginal structural models,18 and instrumental variables.19 The propensity score describes the probability for any given patient, based on their characteristics, of receiving one treatment versus another. The estimated propensity scores can then be used either as a stratification variable, as a controlling variable in a multivariable model, or as a tool to derive a propensity score–matched cohort in which all the variables used to derive the propensity score are balanced.16 Polkinghorne et al utilized propensity scores to control for additional confounding when assessing the effect of catheter and AVG use on mortality.5 Modest attenuation of the risk of death for both catheter and AVG use compared to AVF was seen. However, the issue of residual confounding remains a concern with this technique especially given recent analyses suggesting that, in the majority of studies, the addition of propensity scores failed to provide additional adjustment or advantage over standard regression models.20, 21

Pisoni et al present the use of instrumental variables to reduce the treatment-by-indication bias inherent to observational studies assessing the vascular access mortality relationship.15 The instrumental variable groups patients in a “pseudo random” way into a regional treatment group, for example within a dialysis facility or a given distance from a treating center, and is able to produce 2 matching groups similar to a randomized trial.19 While the use of instrumental variables is not a new statistical technique, its use in the biomedical arena is recent.22, 23, 24 In using this approach, a number of important issues need to be kept in mind. Like all statistical techniques, the application of an instrumental variable approach requires that a number of underlying properties be satisfied for the results to be valid and free of bias. Specifically, the chosen instrumental variable must have 2 properties.19 First, it should affect (cause variation in) the independent variable of interest. In the current study, the “instrument” chosen was the facility-level catheter, AVG, or AVF use and the authors clearly demonstrated that the facility-level vascular access practice accounted for more of the variance in patient vascular access use than did the patients' demographic characteristics and comorbid conditions. Second, the instrumental variable should have no direct effect on the outcome measure, in this case patient mortality and hospitalization. Can we be sure that facility practice itself is unrelated to patient outcome? One could argue that some dialysis centers provide better care and/or practice than others and that this could indeed affect patient outcomes. However, the authors provide evidence that, in this case, the properties have been met, with minimal change in the vascular access/mortality relationship seen when adjusted for numerous facility-based practices. However, some variation was seen when adjustment was made for facility dialysis dose, control of hemoglobin, and serum albumin level. As noted, each of these variables can arguably be a consequence of vascular access practice and therefore could mediate their effects on mortality via the “treatment variable” (vascular access type). If so, the independence of the instrumental variable to the outcome would be maintained. Finally, interpretation of the hazard ratios in the instrumental variable analysis are also different. Unlike patient-based analyses, which define risk for individual patients, the hazard ratio in the instrumental variable model defines the survival of patients within a facility with the specified vascular access practice patterns.

The study by Pisoni et al provides additional, strong evidence for the increase in both mortality and hospitalization for patients dialyzing with catheters or AVGs compared with AVFs.15 For every 20% increase in adjusted facility catheter and AVG use, there was a significant 20% and 9% increase in the risk of death compared with AVF use, respectively. In an alternative but complementary analysis, compared with facilities with an adjusted catheter and AVG use of less than 10%, patients dialyzing in a facility with greater than 20% catheter use and 60% or greater AVG use had a 60% higher mortality risk. Even in facilities with low catheter use (<10%) but high AVG use (≥60%), the risk of death was 42% higher compared with facilities with both low catheter and AVG use. The nature of DOPPS also provides an opportunity to assess mortality differences between countries and continents. It is well known that mortality rates in the US hemodialysis population are higher compared to those in Europe, Japan, and Australia/New Zealand. US-based DOPPS participants had up to a 40% greater mortality compared with the 5 included European countries despite adjusting for differences in patient demographics. This excess in mortality was significantly reduced when differences in vascular access use within facilities were incorporated, suggesting that a large part of the mortality may be mediated by differences in vascular access practice patterns. Similar results were seen for comparison between Japan and the United States.

The study by Pisoni et al provides important insights into the assessment of the vascular access mortality relationship using novel statistical techniques. The under-representation of randomized trials in nephrology25 ensures the reliance on well-designed observational studies to help guide nephrological practice. It is likely that the use of instrumental variables and other statistical techniques such as marginal structural models will be increasingly employed to answer important clinical questions not easily amenable to randomized trials. Comparing mortality of patients on hemodialysis versus peritoneal dialysis is one example.26

Despite the recent “Fistula First” initiative, which has seen an increase in AVF prevalence rates, incident and prevalent catheter rates remain high in the United States27 as well as in Canada10 and countries with higher AVF prevalence rates such as Australia and New Zealand.28 While we know a great deal about the characteristics of the patients dialyzing with a catheter or an AVG,29, 30, 31, 32, 33 it is clear that they alone cannot account for the large variation seen in catheter use across geographic areas.29, 30, 34 More research is needed to understand why similar patients commence dialysis with a catheter in one facility but with an AVF in another.34 Vascular access practice, I believe, is the most important modifiable practice pattern in hemodialysis. A reduction in catheter use could deliver significant benefits not only for patients, but also in reducing costs and strain on an already stretched healthcare system.
Acknowledgements
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Financial Disclosure: None.
References
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Monash University, Monash Medical Centre, Melbourne, Australia

Corresponding Author InformationAddress correspondence to Dr Kevan R. Polkinghorne, PhD, Department of Nephrology, Monash Medical Center, 246 Clayton Rd, Clayton, Melbourne, Victoria, Australia 3168

PII: S0272-6386(09)00041-9

doi:10.1053/j.ajkd.2009.01.010

© 2009 National Kidney Foundation, Inc. Published by Elsevier Inc All rights reserved.

http://www.ajkd.org/article/PIIS0272638609000419/fulltext