Variability of symmetric dimethylarginine in apparently healthy dogs

1. Corrected results: The corrected results from table 2 of critical difference (CD) for symmetric dimethylarginine (SDMA) as 5.98 μg/dL and for creatinine as 22.8 μmol/L differ greatly from the original results of 1.34 μg/dL and 0.9 μmol/L, respectively. Likewise, the CD expressed as a percentage of the mean (CD, % mean), an unusual way to describe what is routinely known as reference change value (RCV), has been corrected to 47% (from 10.5%) for SDMA and 23.7% (from 0.93%) for creatinine. These corrections directly challenge the conclusion that no dogs had stable creatinine measurements. 2. We question reporting CD: CD is an appropriate measure for an individual patient, when determined from homeostatic set point. In a population study, RCV is more relevant to report as it applies to all individuals. RCV is used in this study to discuss the stability of creatinine measurements. 3. Symmetric dimethylarginine analyzer variation (CVA) is very high: It is difficult to make conclusions when CVA > 0.5CVI. In this case, CVA = 0.68CVI; therefore, it is hard to determine how much variation is due to analyzer or within patient variation. With CVA being so high, it is inappropriate to determine RCV (or CD). Running in samples in duplicate is essentially assessing within-day imprecision, and comparing between only 2 samples should be a “best case scenario” in determining imprecision. Such a high CVA of 9.5% indicates an issue with the assay or the equipment used. 4. Varying sampling intervals: Different duration sampling intervals can be expected to give different SDs about the mean (and therefore CVs) with the expectation that shorter duration sampling intervals will give lower CVs. Assessing CV from varying sampling intervals does not “average out” CV or determine a CV applicable to all durations tested but rather tends toward the higher CV (typically the longer duration between testing). It has been demonstrated in human biological variation studies that variation increases with greater duration between sampling up to a point where further variation in CVI is not obtained; the sampling interval where no further variation in CVI is obtained is considered to be the optimal sampling interval for the measurand. More frequent sampling (smaller between-sample intervals) may suffer from autocorrelation and result in lower CVI. We can never know what the best sampling frequency will turn out to be without testing with multiple studies, each with different intervals; however, by providing varying intervals within the one study, we don't know what we are testing. That is why we recommend that initial studies of biologic variation use a standardized interval of 1 week between collections; this should help minimize autocorrelation but still provide a study over a period of time in which the individual's health and physiologic status are likely to remain stable. 5. Index of individuality: Fraser and Harris noted that “Adoption of the reciprocal index ... would have advantages because analytes with a high degree of individuality would have a high index of individuality.” This almost seems to indicate that the adoption of the traditionally used Index of Individuality [√(CVI 2 + CVA )/CVG] was an historical accident. The veterinary biological variation group, following on from much veterinary biological variation literature from nearly 2012, has recommended the use of the “reciprocal formula” as reflected in the published biological variation study recommendations. 6. Conclusion: The conclusion that “SDMA is superior to sCR as a biomarker for detecting early kidney dysfunction” is difficult to justify. Lower CVG (interindividual variability) and RCV (CD) as cited reasons do not, in themselves, reduce “the probability that a given SDMA test result would be outside the individual's homeostatic set point (HSP) for SDMA” because this conclusion does not take into account the reliability of that individual result. The reliability of the result is indicated by the number of measurements required to determine the HSP which is determined to be 4 times as many for SDMA than creatinine. The HSP formula can be expressed differently to determine the “dispersion” around an individual result in that: