Thresholds for significant decrease in hemodialysis access blood flow
- Sunanda J. Ram,
- Raja Nassar,
- Rashid Sharaf,
- Alberto Magnasco,
- Steven A. Jones,
- William D. Paulson(corresponding author)
- LSU Health Sciences Center - Shreveport,
- Louisiana Tech University,
- Sant'Andrea Hospital,
Abstract
During hemodialysis access surveillance, referral for evaluation and correction of stenosis is based upon determination that a significant decrease in blood flow (Q) has occurred. However, criteria for determining when a decrease is statistically significant have not yet been established. In this study we established such criteria by analyzing Q variation with the glucose pump test (GPT). We took nine Q measurements in each of 25 patients (18 grafts, 7 fistulas) during three dialysis sessions within a 2-week period (predialysis and during hours 1 and 3). We determined thresholds that define a significant percentage decrease in Q (ΔQ) for various p values. In order to confirm the general applicability of these thresholds, we computed the average within-patient Q variation during the three sessions (computed as a coefficient of variation and referred to as short-term variation). We then determined the relative influences of biological (true) variation and analytical error on short-term variation. We found that ΔQ must be > 33% to be significant at p < 0.05, whereas the threshold is > 17% for p < 0.20. Measuring Q at uniform versus different times during the sessions did not significantly reduce these thresholds. We also found that biological variation was nearly as large as short-term Q variation, whereas analytical error contributed minimally to short-term variation. In conclusion, this study defines thresholds for a significant ΔQ that have wide application in determining access referral for evaluation and correction of stenosis. Selection of a particular threshold should consider the relative importance of avoiding thrombosis versus avoiding unnecessary procedures. If avoiding unnecessary procedures is a priority, then we recommend a threshold of > 33%. These thresholds apply to other methods of measuring Q, provided analytical error is significantly less than biological variation.
Publication Information
Output type
Original language
English (US)Pages from-to (Number of pages)
Pages 558-564 (7 pages)Journal (Volume, Issue Number)
Seminars in dialysis (Volume 18, Issue 6)Publication milestones
- Published - 11/2005
Publication status
ISSN
0894-0959Publication IDs
- Scopus: 30744446466
- PubMed: 16398721
