Ram Sunanda J, Nassar Raja, Sharaf Rashid, Magnasco Alberto, Jones Steven A, Paulson William D
Division of Nephrology and Hypertension, Department of Medicine, Louisiana State University Health Sciences Center, Shreveport, Louisiana, USA.
Semin Dial. 2005 Nov-Dec;18(6):558-64. doi: 10.1111/j.1525-139X.2005.00104.x.
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 (deltaQ) 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 deltaQ 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 deltaQ 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.
在血液透析通路监测过程中,对于狭窄评估及纠正的转诊是基于血流量(Q)已出现显著下降的判定。然而,判定何时下降具有统计学意义的标准尚未确立。在本研究中,我们通过分析葡萄糖泵试验(GPT)中的Q变化来确立此类标准。在两周内的三个透析疗程中(透析前以及第1小时和第3小时),我们对25例患者(18例移植物、7例动静脉内瘘)中的每例进行了9次Q测量。我们确定了针对不同p值定义Q显著百分比下降(ΔQ)的阈值。为了确认这些阈值的普遍适用性,我们计算了三个疗程中患者内Q的平均变化(计算为变异系数并称为短期变化)。然后,我们确定了生物学(真实)变异和分析误差对短期变化的相对影响。我们发现,对于p < 0.05,ΔQ必须> 33%才具有显著性,而对于p < 0.20,阈值为> 17%。在疗程中的统一时间与不同时间测量Q并没有显著降低这些阈值。我们还发现,生物学变异几乎与短期Q变异一样大,而分析误差对短期变异的贡献最小。总之,本研究定义了显著ΔQ的阈值,这些阈值在确定狭窄评估及纠正的通路转诊方面具有广泛应用。选择特定阈值时应考虑避免血栓形成与避免不必要程序的相对重要性。如果避免不必要程序是优先事项,那么我们建议阈值> 33%。只要分析误差显著小于生物学变异,这些阈值就适用于其他测量Q的方法。