Gc. Critchfield et St. Bennett, THE INFLUENCE OF THE REFERENCE MEAN PROTHROMBIN TIME ON THE INTERNATIONAL NORMALIZED RATIO, American journal of clinical pathology, 102(6), 1994, pp. 806-811
The International Normalized Ratio (INR) is a mathematical transformat
ion of the prothrombin time (PT). The transformation requires a labora
tory to compute the geometric mean of its own reference population. In
this paper, the authors examine how the reference mean PT influences
the INR accuracy and precision using a validated probabilistic model.
The variance of the geometric mean of reference populations in three l
aboratory settings was determined. Because the variance of an individu
al laboratory geometric mean is not directly determinable by simple pa
rametric equations, its variance is estimated using bootstrap analysis
. The geometric mean is compared to the computationally simpler arithm
etic mean for effects on accuracy and precision of the resulting INR.
The study shows mathematically and empirically that using the arithmet
ic mean biases INR determinations so that patients tend to be over-ant
icoagulated. However, in the laboratory settings examined, the amount
of bias was both statistically and clinically insignificant. An analys
is of the effect on the INR of errors in estimating the geometric mean
reference PT also is performed. For large biases in estimating the re
ference mean, the INR can be significantly affected and can trigger in
appropriate clinical actions in patients. The authors demonstrate empi
rically and mathematically that biases in the geometric mean reference
PT do not affect the INR coefficient of variation. However, they prod
uce significant differences in confidence intervals for INR determinat
ions. Laboratories must exercise care in determining specific referenc
e means to ensure that biases do not occur in geometric mean reference
PT determinations. This can be achieved by circumspection in the sele
ction of normal subjects for the reference population, carefully revie
wing the data, and performing the proper calculations on the data.