External quality assessment of the manual tilt tube technique for prothrombin time testing: a report from the IFCC-SSC/ISTH Working Group on the Standardization of PT/INR
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Claudia van Rijn
, Charmane Abdoel , Shanti Baktawar , Petra Herbel , Anja Jünschke , Michelle Bryant , Steve Kitchen , Erica Scalambrino , Marigrazia Clerici , Anne Stavelin , Piet Meijer, Christa M. Cobbaert
and Antonius M.H.P. van den Besselaar
Abstract
Objectives
Detailed technical instructions have been made for harmonization of the prothrombin time (PT) test using the manual tilt tube technique (MTT). The MTT has been proposed as the reference measurement procedure for PT and international normalized ratio (INR). An external quality assessment (EQA) scheme has been developed specifically for calibration laboratories performing the harmonized MTT. Here we report the results of the first 10 surveys of this new EQA scheme and investigate whether there is improvement in performance over time and in comparison with previous studies.
Methods
Four deep-frozen plasma samples with different PT levels were dispatched to 4 European laboratories. PT’s were determined by eight operators. All operators used the same PT reagent (recombinant human). Various measures of PT variation were defined, i.e. within-operator, within-survey, within-run, between-operator, and between-survey coefficient of variation. Between-operator variation (CVS) was calculated from the each operator’s mean PT.
Results
The median within-operator variation of all operators varied from 1.3 to 2.3 %. Some operators improved their performance, others did not. Between-operator CV (CVS) ranged from 1.0 to 2.2 %. Overall, the between-operator and within-operator variation using the harmonized MTT was lower than in a previously published multicentre calibration study. Overall, the within-operator variation was low and did not change significantly over time.
Conclusions
within-operator and between-operator variation of the PT measured with the harmonized MTT were low when compared with previous studies. The results suggest that the average within-operator variation of the eight operators in this study is as low as possible.
Introduction
For monitoring of oral anticoagulant treatment with vitamin K antagonists (VKA), the prothrombin time (PT) is the primary measurement. To achieve standardization of the PT, the results should be expressed as international normalized ratio (INR). Recently, a modified reference measurement system (RMS) and a sustainable calibration hierarchy for the PT/INR have been proposed [1], 2]. The proposed RMS is still based on calibration using the International Sensitivity Index (ISI) [3]. The proposed RMS and calibration hierarchy are based on a harmonized manual tilt tube (MTT) method to be used for PT measurements with the current and replacement international reference preparation (IRP) for thromboplastin.
There are good reasons for maintaining the MTT as reference measurement procedure. Firstly, all previous IRP for thromboplastins have been calibrated in multicentre studies using the MTT. It is well known that the value of the International Sensitivity Index (ISI) can be influenced by the use of various automated coagulometer instruments [4], [5], [6]. To avoid ISI bias, the IRP must be used with the MTT. Secondly, replacing the MTT by one particular automated instrument procedure for the IRP would require that this particular instrument must be available worldwide for the life of the IRP, e.g. 10–20 years. It is questionable whether any instrument manufacturer could guarantee such a long availability without any change in the instrument’s properties. It has been recognized that ISI calibration by using the classic WHO method [3] (i.e. by using the MTT) is a very labour intensive process typically performed by reagent manufacturers, but which is generally beyond the resources of most laboratories [7]. On the other hand, the availability of the MTT and training of operators can be maintained by a few specialized calibration laboratories [1].
The calibration studies of previous IRP’s for thromboplastin and their use in the calibration of secondary standards were performed with a non-harmonized MTT [8], [9], [10], [11]. Using a non-harmonized MTT resulted in a large PT/INR variation between calibration laboratories [11]. For this reason efforts were made to harmonize the MTT and reduce the between-laboratory variation [1].
Laboratories should participate in external quality assessment (EQA) schemes as part of their total quality system [12]. For this reason we set up a new EQA scheme specifically for calibration laboratories performing the harmonized MTT. The purpose of the present paper is to report the results of the first 10 surveys of the new scheme and to investigate whether there is improvement in performance over time and in comparison with previous multicentre studies. This work was performed under the auspices of the joint International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) – Scientific and Standardization Committee (SSC) of the International Society on Thrombosis and Haemostasis (ISTH) Working Group on the Standardization of PT/INR [2]. The members of the Working Group are recruited from academia, SSC/ISTH (Subcommittee on Control of Anticoagulation), WHO Expert Committee on Biological Standardization, National Institute for Biological Standards and Control (NIBSC), EQA organizations, and In-Vitro-Diagnostic manufacturers.
Materials and methods
Control plasmas
Pooled normal plasma was prepared as described previously [13]. Artificially depleted plasmas were prepared by incubation of pooled normal plasma (designated as plasma AF) with barium sulphate (Acros Organics, 98 %, extra pure) [14]. The absorbed plasma was titrated with pooled normal plasma to obtain three desired INR levels of approximately 2.0 (designated as plasma BF), 3.0 (designated as plasma CF), and 4.0 (designated as plasma DF), respectively. The titration was performed with Recombiplastin 2G (Werfen) and the MTT technique with an ISI of 1.04 which was determined by one operator’s local calibration using a set of six frozen plasma pools with assigned INR values [15]. The total volume of each INR plasma was approximately 220 mL. Aliquots of 0.8 mL INR plasma were filled in polypropylene cryotubes and were frozen at −70 °C. The cryotubes were coded differently for each survey. The frozen plasma aliquots were despatched on dry ice from the coordinating centre (Leiden laboratory) to four participant centres (in alphabetical order: Leiden, Mannheim, Milan, Sheffield) for PT measurements in 10 distinct surveys. Each year a single lot of Recombiplastin 2G (Werfen) was despatched from the coordinating centre and was used by all participants for the PT measurements. Recombiplastin 2G lot N0915907 was used in 2022 and lot N0129626 in 2023. The participants received detailed instructions on handling of the materials and the methods for PT testing.
Surveys
Each survey was performed on 5 consecutive days. On the first day, one vial of Recombiplastin 2G was reconstituted according to the manufacturer’s instructions and used on all 5 days. On each day a new set of 4 test plasmas were thawed and analysed. After analysis the plasma samples were discarded. Each operator tested all 4 plasma samples on each day in duplicate. After completing the tests the results were mailed to the coordinating centre for statistical evaluation. The first five surveys were performed in 2022 and the second set of five surveys in 2023, at intervals of approximately 2 months, comprising a total time of approximately 1.5 years. The timing of the surveys, i.e. starting and closing dates, were announced by the coordinating centre to the participant centres well in advance of commencing the surveys. After each survey, each operator’s coefficient of variation (CVO, see below) and deviation from the mean PT of all operators (DO, see below) was calculated by the coordinating centre and communicated to all participants. The mean PT of all operators was considered as the survey consensus value.
Statistical methods
Various measures of PT variation are defined as follows.
Within-operator, within-survey coefficient of variation (CVO). It is calculated from the standard deviation of all PT measurements obtained by an individual operator on all days of a given survey. In general CVO is calculated from 10 measurements (duplicate measurements on 5 consecutive days).
Between-operator, over all surveys coefficient of variation (CVS). It is calculated from the standard deviation of the mean PT by each operator over all surveys of a given year. In addition, CVS was calculated for the mean PT-ratio obtained by each operator over all surveys of a given year. The mean PT ratio was calculated as the mean PT obtained by each operator divided by the mean PT of plasma AF determined by the same operator.
Overall within-operator, within-run coefficient of variation (CVR) was calculated with the formula: CVR=(100/PTM)√(∑(PT1–PT2)2/2n) in which PT1 and PT2 are the duplicate measurements on the same sample by the same operator in the same run. The number of measurement pairs by each operator is represented by n and the mean PT of the 2n measurements is represented by PTM. CVR was calculated for each operator over all surveys of a given year.
Each operator’s absolute value of the deviation from the overall mean PT of all operators in each survey was calculated as: DO=100 × ׀PToperator–PTM, all operators ׀/PTM, all operators.
Between-survey coefficient of variation of mean PT over all operators per year (CVY).
Ordinary regression analysis was used to examine whether time (i.e. survey number) has a significant effect on CVO for each operator separately. A mixed effects model with operators as random effects was used to examine whether time (i.e. survey number) could explain an overall change of all CVO ‘s. Association between PT results obtained by two different operators was investigated using Spearman’s rank correlation coefficient. IBM SPSS Statistics version 29 was used.
Stability and homogeneity of plasma samples
A stability study of the samples in advance of the ensuing surveys was not performed. Such a study would require storage of the frozen samples at different temperatures. Instead of a preceding stability study the stability was evaluated after the surveys had been completed. We determined Spearman’s rank correlation coefficient of all PT measurements by all operators against the survey number. The level of significance was set at 0.05. Homogeneity of the plasma samples was not investigated.
Results
Within-operator, within-survey coefficient of variation
All operators performed the PT measurements in 10 surveys (5 in 2022 and 5 in 2023) according to the protocol, except operator no. 6 who completed only the first 9 surveys. Table 1 shows the median value of CVO for each individual operator. There were obvious differences between the operators. For example, the median values of CVO for operator no. 5 were 1.9–3.9 % in the various surveys, but for operator no. 8 the median values were 0.7–1.5 %. In addition, Table 1 shows the percentiles and maximum values of CVO for the collective operators. The percentile values for plasma AF were greater than the corresponding values for plasmas BF, CF and DF. To investigate whether there was a significant change of CVO over the total time (i.e. the 10 surveys), linear regression analysis of CVO on time (i.e. survey number) was performed. The analysis showed that there were only 4 out of 32 cases in which there was a significant change of CVO. Of the 4 cases, 3 had a negative slope (i.e. a decrease of CVO with time) and one had a positive slope (i.e. an increase of CVO with time). In the remaining 28 cases the slope of the regression line was not statistically different from zero (see Supplementary Table 1S). To investigate whether there was a change of CVO over the total time and over all operators, a mixed effects model was run on all data for each of the 4 plasmas. The results of the mixed effects model indicated that the slope was not statistically significant for each of the 4 plasmas (see Supplementary Table 2S).
Median of within-operator, within-survey coefficient of variation of the PT (CVO) for each operator and for each of the frozen control plasmas, i.e. plasma AF, plasma BF, plasma CF and plasma DF, respectively.
| Laboratory no. | Operator no. | Plasma AF | Plasma BF | Plasma CF | Plasma DF | ||||
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | ||
| 1 | 1 | 1.4 | 1.5 | 1.5 | 1.2 | 1.0 | 1.0 | 1.5 | 1.0 |
| 1 | 2 | 1.7 | 1.5 | 1.5 | 1.5 | 1.1 | 1.2 | 1.3 | 1.0 |
| 2 | 3 | 3.1 | 2.0 | 2.3 | 2.9 | 2.6 | 1.7 | 2.5 | 1.9 |
| 2 | 4 | 2.5 | 1.9 | 2.0 | 2.0 | 2.1 | 1.6 | 1.5 | 1.1 |
| 3 | 5 | 3.5 | 3.9 | 2.0 | 2.3 | 3.2 | 2.4 | 2.2 | 1.9 |
| 3 | 6 | 3.6 | 2.9 | 1.9 | 1.8 | 1.1 | 1.5 | 1.0 | 1.4 |
| 4 | 7 | 1.1 | 1.2 | 1.1 | 1.1 | 1.1 | 1.2 | 1.2 | 1.1 |
| 4 | 8 | 1.4 | 1.5 | 1.2 | 0.7 | 1.2 | 1.1 | 0.9 | 0.8 |
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| n=40 | n=39 | n=40 | n=39 | n=40 | n=39 | n=40 | n=39 | ||
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| 25th percentile of CVO | 1.3 | 1.3 | 1.3 | 1.2 | 1.0 | 1.1 | 1.0 | 1.0 | |
| 50th percentile of CVO | 2.3 | 1.9 | 1.6 | 1.5 | 1.3 | 1.4 | 1.3 | 1.3 | |
| 75th percentile of CVO | 3.1 | 2.6 | 2.0 | 2.1 | 2.1 | 1.8 | 1.8 | 1.7 | |
| Maximum of CVO | 4.4 | 5.4 | 3.2 | 4.5 | 4.0 | 3.0 | 2.8 | 2.9 | |
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Percentiles and maximum values of within-operator, within-survey coefficient of variation of the PT (CVO) for all operators. n is the number of CVO values for all operators in each year.
Operator’s deviation from overall mean PT
Table 2 shows the median value of DO for each individual operator. Some operators had higher median values (e.g. operator no. 3) than others. In addition, Table 2 shows the percentiles and maximum values of DO for the collective operators. For plasma samples BF, CF, and DF the spread of DO was smaller in year 2023 than in year 2022.
Median of operator’s deviation (DO) from the survey mean PT for each operator and for each of the frozen control plasmas, i.e. plasma AF, plasma BF, plasma CF and plasma DF, respectively.
| Laboratory no. | Operator no. | Plasma AF | Plasma BF | Plasma CF | Plasma DF | ||||
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | ||
| 1 | 1 | 0.27 | 2.01 | 2.33 | 0.87 | 2.84 | 0.50 | 2.15 | 1.16 |
| 1 | 2 | 1.72 | 0.25 | 1.50 | 1.06 | 1.85 | 2.01 | 3.05 | 2.40 |
| 2 | 3 | 0.86 | 1.97 | 1.60 | 2.28 | 3.00 | 2.63 | 2.59 | 3.15 |
| 2 | 4 | 1.78 | 1.59 | 1.45 | 1.13 | 2.42 | 0.91 | 3.31 | 2.21 |
| 3 | 5 | 2.16 | 3.00 | 0.86 | 0.43 | 3.27 | 0.59 | 3.09 | 1.54 |
| 3 | 6 | 1.95 | 1.44 | 2.31 | 3.11 | 1.67 | 2.31 | 2.53 | 2.72 |
| 4 | 7 | 1.57 | 2.58 | 1.67 | 1.15 | 1.30 | 1.62 | 1.71 | 1.35 |
| 4 | 8 | 0.92 | 0.82 | 0.72 | 1.45 | 1.65 | 0.98 | 1.53 | 1.09 |
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| n=40 | n=39 | n=40 | n=39 | n=40 | n=39 | n=40 | n=39 | ||
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| 25th percentile of DO | 0.51 | 0.74 | 0.71 | 0.79 | 1.08 | 0.59 | 1.04 | 1.09 | |
| 50th percentile of DO | 1.31 | 1.71 | 1.55 | 1.15 | 2.26 | 1.42 | 2.64 | 1.71 | |
| 75th percentile of DO | 2.18 | 2.86 | 2.86 | 2.50 | 3.68 | 2.33 | 3.48 | 3.15 | |
| Maximum of DO | 6.85 | 8.19 | 5.15 | 3.58 | 6.88 | 5.89 | 6.38 | 6.80 | |
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Percentiles and maximum values of operator’s deviation from the survey mean PT (DO) for all operators. n is the number of DO values for all operators in each year.
Correlation of PT between different operators
The PT results obtained by individual operators in consecutive surveys were displayed graphically (Supplementary Figures 1S–4S). There were considerable differences in PT results between successive surveys which were in several cases similar for the two operators in the same laboratory (Figure 1 and Supplementary Table 3S). For example, there was a significant positive correlation (p<0.001) between the PTs of plasma DF measured by operators no. 1 and no. 2 in laboratory no. 1 (Figure 1). Similar results were observed in other laboratories (see Table 3S in Supplementary Material). Correlations between operators in the same laboratory were stronger for control plasmas in the order AF<BF<CF<DF (Supplementary Table 3S).

PT (s) measurements (mean of duplicate PTs per day) for control plasma DF by operator 2 (laboratory 1) plotted against the corresponding values obtained by operator 1 (laboratory 1) on the same day. Open symbols: measurements performed in 2022 (5 surveys, n=25); Spearman’s rank correlation coefficient: 0.824 (p<0.001). Black symbols: measurements performed in 2023 (5 surveys, n=25); Spearman’s rank correlation coefficient: 0.798 (p<0.001).
Between-survey variation
Table 3 shows the mean PT of all operators in each survey. The differences between the surveys were small but for plasmas BF, CF and DF there was a significant positive correlation between individual PT measurements and the survey number in each year. In other words, there was a slight but significant increase of the PT with time (see Figure 5S in Supplementary Material). The results obtained in 2022 and 2023 were evaluated separately because different lots of Recombiplastin 2G were used in each year.
Consensus (mean) PT of eight operators per survey, between-survey CVY of mean PT, and Spearman’s rank correlation between individual PT measurement and survey number.
| Year | Survey number | Plasma AF | Plasma BF | Plasma CF | Plasma DF | ||||
|---|---|---|---|---|---|---|---|---|---|
| Mean PT, s | Corr. Coeff. | Mean PT, s | Corr. Coeff. | Mean PT, s | Corr. Coeff. | Mean PT, s | Corr. Coeff. | ||
| 2022 | 1 | 12.5 | 0.02 p=0.673 (n=400) | 23.2 | 0.134 p=0.007 n=400 |
36.1 | 0.190 p<0.001 n=400 |
45.9 | 0.240 p<0.001 n=400 |
| 2 | 12.3 | 23.3 | 36.1 | 46.3 | |||||
| 3 | 12.3 | 22.9 | 35.7 | 45.2 | |||||
| 4 | 12.6 | 23.7 | 37.5 | 47.7 | |||||
| 5 | 12.5 | 23.4 | 36.5 | 46.9 | |||||
| CVY | 0.8 % | 1.2 % | 1.9 % | 2.1 % | |||||
| 2023 | 6 | 12.1 | 0.217 p<0.001 (n=390) | 23.2 | 0.275 p<0.001 n=390 |
35.9 | 0.195 p<0.001 n=390 |
46.1 | 0.208 p<0.001 n=390 |
| 7 | 12.2 | 23.6 | 36.5 | 47.1 | |||||
| 8 | 12.1 | 23.6 | 36.7 | 47.0 | |||||
| 9 | 12.3 | 24.1 | 37.5 | 48.5 | |||||
| 10 | 12.3 | 23.6 | 36.3 | 46.6 | |||||
| CVY | 0.8 % | 1.5 % | 1.6 % | 1.9 % | |||||
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Corr. Coeff., correlation coefficient. The number of all individual PT measurements (n) is given.
Between-operator variation
Table 4 shows the mean PTs determined by each operator in 2022 and 2023, respectively. The between-operator CV ranged from 1.0 to 2.2 %. The mean PT ratios of the plasmas BF, CF and DF by each operator are shown in Table 5. The PT ratios were slightly but significantly higher in 2023 than in 2022, suggesting slightly different composition and responsiveness of the reagent lots. In a first attempt to approximate the between-operator CV of the INR, the between-operator CV of the PT ratio was multiplied with the approximate ISI value of the measurement system, i.e. 1.04 [16] (Table 5).
Mean PT (s) determined by each operator in 2022 and 2023.
| Laboratory no. | Operator no. | Plasma AF | Plasma BF | Plasma CF | Plasma DF | ||||
|---|---|---|---|---|---|---|---|---|---|
| 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | ||
| 1 | 1 | 12.5 | 12.3 | 23.5 | 23.8 | 36.7 | 36.9 | 46.6 | 47.6 |
| 1 | 2 | 12.5 | 12.3 | 23.4 | 23.9 | 36.5 | 36.8 | 46.7 | 47.7 |
| 2 | 3 | 12.4 | 12.0 | 22.8 | 23.1 | 35.7 | 35.6 | 45.5 | 45.6 |
| 2 | 4 | 12.5 | 12.0 | 23.3 | 23.8 | 36.5 | 36.4 | 46.5 | 46.9 |
| 3 | 5 | 12.3 | 11.9 | 23.6 | 23.4 | 37.1 | 36.5 | 47.4 | 47.1 |
| 3 | 6 | 12.4 | 12.3 | 23.4 | 23.6 | 36.9 | 36.7 | 47.1 | 46.6 |
| 4 | 7 | 12.6 | 12.7 | 23.5 | 23.9 | 36.0 | 37.0 | 45.7 | 47.7 |
| 4 | 8 | 12.2 | 12.0 | 22.9 | 23.4 | 36.0 | 36.7 | 45.7 | 47.1 |
| Mean PT of all operators (consensus) | 12.4 | 12.2 | 23.3 | 23.6 | 36.4 | 36.6 | 46.4 | 47.0 | |
| Between-operator CVS, % | 1.0 | 2.2 | 1.3 | 1.2 | 1.3 | 1.2 | 1.5 | 1.5 | |
Mean PT Ratio (Mean PT abnormal plasma divided by mean PT normal plasma AF) determined by each operator in 2022 and 2023.
| Laboratory no. | Operator no. | PT ratio plasma BF | PT ratio plasma CF | PT ratio plasma DF | |||
|---|---|---|---|---|---|---|---|
| 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | ||
| 1 | 1 | 1.88 | 1.93 | 2.94 | 2.99 | 3.73 | 3.86 |
| 1 | 2 | 1.87 | 1.95 | 2.92 | 3.00 | 3.73 | 3.89 |
| 2 | 3 | 1.84 | 1.92 | 2.88 | 2.96 | 3.67 | 3.79 |
| 2 | 4 | 1.87 | 1.99 | 2.92 | 3.04 | 3.72 | 3.91 |
| 3 | 5 | 1.91 | 1.97 | 3.01 | 3.07 | 3.85 | 3.96 |
| 3 | 6 | 1.89 | 1.91 | 2.97 | 2.98 | 3.79 | 3.78 |
| 4 | 7 | 1.86 | 1.88 | 2.85 | 2.92 | 3.62 | 3.75 |
| 4 | 8 | 1.88 | 1.94 | 2.94 | 3.05 | 3.74 | 3.92 |
| Mean PT ratio of all operators | 1.88 | 1.94 | 2.93 | 3.00 | 3.73 | 3.86 | |
| Between-operator CVS, % | 1.1 | 1.8 | 1.7 | 1.7 | 1.9 | 2.0 | |
| CVS multiplied by ISI of system | 1.1 | 1.9 | 1.8 | 1.7 | 1.9 | 2.1 | |
Within-operator, within-run variation
Table 6 shows the overall within-operator, within-run CVR of the PT by each operator. Some operators showed a year-to-year decrease of CVR with all plasmas (e.g. operators no. 2 and 4) but other operators showed an increase of CVR.
Overall within-operator, within-run coefficient of variation (CVR) of PT by each operator in 2022 and 2023.
| Laboratory no. | Operator no. | n | Plasma AF | Plasma BF | Plasma CF | Plasma DF | ||||
|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | 2022 | 2023 | |||
| 1 | 1 | 50 | 1.6 | 1.3 | 1.4 | 0.9 | 1.0 | 0.8 | 0.9 | 1.0 |
| 1 | 2 | 50 | 1.3 | 1.2 | 1.3 | 1.3 | 1.0 | 0.8 | 0.9 | 0.8 |
| 2 | 3 | 50 | 1.9 | 2.3 | 1.8 | 2.2 | 2.0 | 1.4 | 1.9 | 2.0 |
| 2 | 4 | 50 | 2.0 | 1.9 | 2.0 | 1.6 | 1.6 | 1.2 | 1.3 | 1.1 |
| 3 | 5 | 50 | 2.7 | 3.4 | 2.0 | 2.4 | 1.8 | 1.8 | 1.7 | 2.2 |
| 3 | 6 | 45 | 2.7 | 2.3 | 1.9 | 1.4 | 1.1 | 1.5 | 0.9 | 1.5 |
| 4 | 7 | 50 | 1.2 | 1.1 | 1.0 | 1.2 | 0.8 | 1.1 | 0.9 | 0.5 |
| 4 | 8 | 50 | 1.3 | 1.7 | 1.0 | 0.8 | 0.8 | 0.9 | 0.7 | 0.7 |
| Average CVR, % | 1.8 | 1.9 | 1.4 | 1.5 | 1.1 | 1.2 | 1.2 | 1.3 | ||
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The number of replicate measurement pairs is given by n.
Discussion
In this paper we report the results of an External Quality Assessment of the PT determined with a harmonized manual tilt tube technique by eight operators in 4 laboratories. The study comprised 10 surveys over a time period of nearly two years. This allowed us to see whether there was any change in the performance over time. Some operators improved but others did not (Table 1). There was no important overall difference in CVO between the years 2022 and 2023 (Table 1). We used Recombiplastin 2G because it is very similar to the current IRP for thromboplastin, recombinant, human (rTF/16). Two lots of Recombiplastin 2G were used, one lot in 2022 and the other in 2023. The PTs obtained with the first lot were slightly different from those obtained with the second lot (Table 4). More clearly we observed higher PT ratios in 2023 as compared to those in 2022 (Table 5). These results suggested that the two lots had slightly different sensitivities with regard to the coagulation factors in the test plasmas. For this reason we analysed the results obtained with the two lots separately.
There were differences between the operators and between the surveys, but in some cases there was a significant positive correlation between the PTs measured by the two operators in the same laboratory (Figure 1). This observation suggests that in those cases differences between surveys could be due to local conditions, e.g. reagent and sample variation. The reagent was reconstituted with diluent freshly on the first day of each survey and the same vial was used by both operators on all other days of the survey. A potential error in reagent preparation in a particular survey may influence both operators’ PT results of the same survey. The plasma samples were thawed freshly by the operators on each day of testing. Reagent and sample between-vial variation was not investigated in the present study. The effect of reagent between-vial variation may be reduced by pooling several vials in future studies.
The frozen plasma samples were stored at −70 °C during the course of this study. Despite this condition, we observed a small increase of the clotting times during the course of the year (Table 3 and Supplementary Table 5S) which may be due to instability of the frozen plasma possibly reinforced by barium sulphate treatment. Although frozen plasmas are stable for short periods of time, some decay does occur even at −74 °C [13], 17]. A slight increase of PT does not influence the comparison between operators in the same survey and the within-operator within-survey variation.
It should be realized that there is no true value for the PT measured with the harmonized MTT. For this reason, we used the mean PT of all operators as consensus value. We calculated each operator’s deviation from the consensus value and the median deviations (Table 2). Some operators had lower median DO in 2023 than in 2022 but others did not. Comparing the results of 2023 with those of 2022, we cannot conclude that overall performance was improved. Part of the deviations from the PT consensus value (Table 2) may be due to physiological or psychological differences (e.g. reaction time) between the operators, but it may also be due to between-vial differences of the plasma samples or the thromboplastin reagent or the stability of the reagent after reconstitution. Between-vial variation and stability were not controlled in the present study. Between-vial variation and stability of the reagent should be accounted for in future studies.
The between-operator variation and the within-operator variation observed in the present study may be compared to the between-operator variation and the within-operator variation observed in a previous multicentre study for the calibration of international reference thromboplastin preparations rTF/16 and RBT/16 [11]. The present study showed much lower between-operator variation with CV’s not greater than 2.2 % (Table 4), compared to 4.9–9.2 % in the previous multicentre study [11] which we have described in Table 7 for ease of comparison. Furthermore, the median within-operator CVO values (Table 1) were much lower than the median within-operator CVw values obtained in the previous multicentre study (Table 7). The operators in the present study used a harmonized MTT which was devised by the same operators and which was exercised by the operators together in two workshops [1]. In contrast, the previous multicentre study was performed by 20 operators who were not trained in a preceding workshop and who used a non-harmonized MTT [11]. The finding that the average CVO of the eight operators in the present study did not change during the course of the 10 successive surveys suggests that the average CVO is as low as technically possible.
Mean PT, mean INR, between-operator coefficient of variation (CVb, in %), and median within-operator coefficient of variation (CVw, in %) by 20 operators in a previously published multicentre calibration study [11].
| International reference preparation for thromboplastin | Plasma A | Plasma B | Plasma C | Plasma D | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean PT, s | CVb PT | CVw PT | Mean PT, s | CVb PT | CVw PT | Mean PT, s | CVb PT | CVw PT | Mean PT, s | CVb PT | CVw PT | |
| rTF/09a | 13.2 | 8.9 | 4.0 | 26.0 | 6.8 | 4.4 | 37.0 | 5.6 | 3.8 | 53.4 | 5.0 | 3.2 |
| rTF/16a | 12.7 | 8.0 | 4.3 | 24.9 | 6.6 | 3.9 | 35.9 | 6.0 | 3.6 | 51.9 | 5.0 | 3.1 |
| RBT/05b | 16.6 | 7.8 | 4.9 | 33.1 | 4.9 | 3.8 | 43.2 | 5.4 | 3.7 | 58.3 | 5.4 | 4.8 |
| RBT/16b | 18.0 | 9.2 | 4.0 | 35.3 | 6.9 | 3.7 | 45.7 | 6.9 | 3.4 | 60.5 | 7.8 | 3.5 |
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| Mean INR | CV b INR | CV w INR | Mean INR | CV b INR | CV w INR | Mean INR | CV b INR | CV w INR | Mean INR | CV b INR | CV w INR | |
|
|
||||||||||||
| rTF/09a | 0.95 | 5.5 | 4.4 | 1.99 | 6.3 | 4.8 | 2.92 | 6.6 | 4.1 | 4.35 | 8.1 | 3.5 |
| rTF/16a | 0.94 | 3.2 | 4.8 | 2.00 | 5.3 | 4.3 | 3.00 | 6.5 | 4.0 | 4.51 | 7.8 | 3.5 |
| RBT/05b | 0.98 | 4.6 | 5.6 | 2.18 | 6.5 | 4.1 | 2.96 | 6.6 | 4.2 | 4.18 | 6.7 | 5.6 |
| RBT/16b | 0.98 | 4.2 | 4.9 | 2.22 | 5.6 | 4.5 | 3.03 | 6.1 | 4.1 | 4.26 | 7.9 | 4.2 |
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aThromboplastin source: recombinant human; bthromboplastin source: rabbit brain. Lyophilized plasmas A, B, C, and D (Technoclone, Vienna, Austria) were analysed with 4 international reference preparations for thromboplastins on 10 different days. The mean PTs and mean INRs obtained by each operator were used to calculate the between-operator coefficient of variation (CVb). The within-operator coefficient of variation CVw was calculated as the between-day CV of each operator.
Overall, within-operator, within-run variation, i.e. repeatability (CVR) seemed to depend on the plasma used (Table 6). CVR was greater for plasma AF than for plasmas BF, CF and DF. It is reassuring that CVR is low in the therapeutic range of anticoagulation levels.
There are a few limitations of this study. First of all, we could not assess the variation of the INR. The INR should be calculated with the Mean Normal PT (MNPT) and the International Sensitivity Index (ISI) [3]. In the present study, each operator’s MNPT was not available and therefore the INR could not be calculated. Although we could not calculate the CV of the INR in a direct way, we may estimate a minimum value using some assumptions. The first assumption is that each operator’s MNPT is equal to the operator’s mean PT obtained with pooled normal plasma AF. The second assumption is that each operator’s ISI is equal to the value obtained by one operator’s local calibration (see Materials and Methods). According to Taberner et al. the CV of the INR is approximated to the CV of the PT ratio multiplied by the ISI [16]. Using Taberner’s approach with an approximate ISI value of 1.04 we obtained approximate coefficients of variation of the INR ranging from 1.1 to 2.1 (Table 5). It should be emphasized that neglecting the uncertainty of the MNPT and ISI results in underestimation of the uncertainty of the INR [18]. Future EQA studies should include determination of the MNPT by each operator at the beginning of the surveys. The second limitation of our study is that the plasma samples were artificially depleted of coagulation factors and had a different composition as compared to clinical samples. In general artificially depleted plasmas are not commutable with clinical samples [19], 20]. As the relative concentrations of the coagulation factors in artificially depleted plasmas may be different from those in clinical samples, it cannot be excluded that the use of artificially depleted plasmas in the present study affected the variation of the PT within and between operators. Nevertheless, previous studies have shown that the coefficient of variation of the PT calibration line slope determined with MTT was similar with either fresh clinical samples or lyophilized artificially depleted plasmas [20], suggesting that the analytical PT measurement variation was similar with both types of samples. The third limitation of our study is that only one type of reagent (i.e., Recombiplastin 2G) was used which has a different composition as compared to the future replacement IRP. We suggest that EQA studies of the MTT should be continued with a reagent similar to the future IRP.
In this context it is interesting to refer to a previous study of INR between-laboratory variation among end users in European countries where a multiplicity of various thromboplastin reagents and procedures were used [21]. The between-laboratory variation ranged from 7.8 to 9.0 % when end users did not perform local calibration and from 5.8 to 7.6 % when end users did perform local calibration. The authors concluded that implementing local calibration is strongly recommended [21]. We wonder whether the above-mentioned level of between-laboratory variation can be reduced further. We suggest that improved standardization of higher-order calibrations by reference laboratories should contribute to improved accuracy of INR results obtained by end users.
The present study has shown that the uncertainty of the PT determined with the MTT depends on the operator. An important question is the maximum allowable uncertainty of the PT which is required for an appropriate analytical performance specification for INR measurements. Recently it was stated that a sustainable metrologically traceable calibration hierarchy for the INR should be based on an international protocol for value assignment with a single primary reference thromboplastin and the harmonized MTT for PT determination [2]. It was stated that the reference measurement system’s uncertainty budget should represent one third of the total standard uncertainty. If we accept that the total standard uncertainty of the INR is 10 %, the uncertainty budget of the reference measurement system would be 3.3 % [2]. What should be the standard uncertainty of the reference measurement system’s PT determination corresponding to an INR standard uncertainty of 3.3 % ? This question can only be answered when the results are available of a multicentre calibration study of the new reference measurement system including the standardized MTT and the replacement primary reference thromboplastin. It is anticipated that this calibration study will be completed by the end of 2024.
In conclusion, there were differences in PT variation within and between the MTT operators in the present EQA study. The variation between operators was much smaller than in a previous multicentre calibration study which is likely due to harmonization of the MTT.
Acknowledgments
Statistical assistance was provided by Prof. dr. Panagiotis Tsiamyrtzis (Department of Mechanical Engineering, Politecnico di Milano, Italy, and Department of Statistics, Athens University of Economics and Business, Greece). We thank the members of the IFCC-SSC/ISTH Working Group on Prothrombin Time/International Normalized Ratio Standardization for commenting on the original draft of this article and for approving the final draft.
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Research ethics: Not applicable, as the research conducted does not relate to either human or animal use.
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Informed consent: Not applicable.
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Author contributions: Conceptualization: Claudia van Rijn and Antonius van den Besselaar. Laboratory measurements: Charmane Abdoel, Shanti Baktawar, Petra Herbel, Anja Jünschke, Michelle Bryant, Steve Kitchen, Erica Scalambrino, Marigrazia Clerici. Calculations: Claudia van Rijn and Antonius van den Besselaar. Original draft preparation: Antonius van den Besselaar. Review and editing: Anne Stavelin, Piet Meijer, Steve Kitchen, Christa Cobbaert, Antonius van den Besselaar. All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Use of Large Language Models, AI and Machine Learning Tools: None declared.
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Conflict of interest: Authors Petra Herbel, and Anja Jünschke are employees of Roche Diagnostics GmbH (Mannheim, Germany). All other authors state no conflict of interest.
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Research funding: None declared.
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Data availability: Not applicable.
References
1. Van den Besselaar, AMHP, Van Rijn, CJJ, Abdoel, CF, Chantarangkul, V, Scalambrino, E, Kitchen, S, et al.. Paving the way for establishing a reference measurement system for standardization of plasma prothrombin time: harmonizing the manual tilt tube method. J Thromb Haemostasis 2020;18:1986–94. https://doi.org/10.1111/jth.14873.Search in Google Scholar PubMed PubMed Central
2. Van den Besselaar, AMHP, Stavelin, A, Kitchen, S, Bryant, M, Tripodi, A, Scalambrino, E, et al.. Defining a metrologically traceable and sustainable calibration hierarchy of international normalized ratio for monitoring of vitamin K antagonist treatment in accordance with International Organization for Standardization (ISO) 17511:2020 standard: communication from the International Federation of Clinical Chemistry and Laboratory Medicine – SSC/ISTH working group on prothrombin time/international normalized ratio standardization. J Thromb Haemostasis 2024;22:1236–48. https://doi.org/10.1016/j.jtha.2023.12.013.Search in Google Scholar PubMed
3. World Health Organization Expert Committee on Biological Standardization. Sixty-second report. Guidelines for thromboplastins and plasma used to control oral anticoagulant therapy with vitamin K antagonists. Geneva, Switzerland: WHO Technical Report Series; 2013, 979:273–305 pp.Search in Google Scholar
4. Poller, L, van den Besselaar, AMHP, Jespersen, J, Tripodi, A, Houghton, D. The European concerted action on anticoagulation (ECAA): field studies of coagulometer effects on the ISI of ECAA thromboplastins. Thromb Haemost 1998;80:615–23.Search in Google Scholar
5. Van den Besselaar, AMHP, Houbouyan, LL, Aillaud, MF, Denson, KWE, Johnston, M, Kitchen, S, et al.. Influence of three types of automated coagulometers on the international sensitivity index (ISI) of rabbit, human, and recombinant human tissue factor preparations. Thromb Haemost 1999;81:66–70. https://doi.org/10.1055/s-0037-1614420.Search in Google Scholar
6. Houdijk, WPM, van den Besselaar, AMHP. International multicenter international sensitivity index (ISI) calibration of a new human tissue factor thromboplastin reagent derived from cultured human cells. J Thromb Haemostasis 2004;2:266–70. https://doi.org/10.1111/j.1538-7836.2004.00434.x.Search in Google Scholar PubMed
7. Favaloro, EJ, Adcock, DM. Standardization of the INR: how good is your laboratory’s INR and can it be improved? Semin Thromb Hemost 2008;34:593–603. https://doi.org/10.1055/s-0028-1104538.Search in Google Scholar PubMed
8. Hermans, J, van den Besselaar, AMHP, Loeliger, EA, van der Velde, EA. A collaborative calibration study of reference materials for thromboplastins. Thromb Haemost 1983;50:712–17. https://doi.org/10.1055/s-0038-1665293.Search in Google Scholar
9. Thomson, JM, Tomenson, JA, Poller, L. The calibration of the second primary international reference preparation for thromboplastin (thromboplastin, human, plain, coded BCT/253). Thromb Haemost 1984;52:336–42. https://doi.org/10.1055/s-0038-1661209.Search in Google Scholar
10. Tripodi, A, Chantarangkul, V, Negri, B, Clerici, M, Mannucci, PM. International collaborative study for the calibration of a proposed reference preparation for thromboplastin, human recombinant, plain. Thromb Haemost 1998;79:439–43. https://doi.org/10.1055/s-0037-1615004.Search in Google Scholar
11. Van den Besselaar, AMHP, Chantarangkul, V, Angeloni, F, Binder, NB, Byrne, M, Dauer, R, et al.. International collaborative study for the calibration of proposed International Standards for thromboplastin, rabbit, plain, and for thromboplastin, recombinant, human, plain. J Thromb Haemostasis 2018;16:142–9. https://doi.org/10.1111/jth.13879.Search in Google Scholar PubMed
12. ISO 15189:2022. Medical laboratories – requirements for quality and competence. Geneva, Switzerland: International Organization for Standardization; 2022.Search in Google Scholar
13. Van den Besselaar, AMHP, Witteveen, E, van der Meer, FJM. Long-term stability of frozen pooled plasmas stored at −70 °C, −40 °C, and −20 °C for prothrombin time and International Normalized Ratio (INR) assessment. Thromb Res 2013;131:349–51. https://doi.org/10.1016/j.thromres.2013.01.020.Search in Google Scholar PubMed
14. Koopmann, P. Antibodies against plasma clotting factors: evidence for the presence of a common structural component in the four clotting factors of the prothrombin complex PhD Thesis. Montreal, Canada: McGill University; 1973.Search in Google Scholar
15. Van den Besselaar, AMHP, Cobbaert, CM. Assignment of international normalized ratio to frozen and freeze-dried pooled plasmas. Clin Chem Lab Med 2020;58:2089–97. https://doi.org/10.1515/cclm-2019-1321.Search in Google Scholar PubMed
16. Taberner, DA, Poller, L, Thomson, JM, Darby, KV. Effect of international sensitivity index (ISI) of thromboplastins on precision of international normalised ratios (INR). J Clin Pathol 1989;42:92–6. https://doi.org/10.1136/jcp.42.1.92.Search in Google Scholar PubMed PubMed Central
17. Woodhams, B, Girardot, O, Blanco, M-J, Colesse, G, Gourmelin, Y. Stability of coagulation proteins in frozen plasma. Blood Coagul Fibrinolysis 2001;12:229–36. https://doi.org/10.1097/00001721-200106000-00002.Search in Google Scholar PubMed
18. Van den Besselaar, AMHP, Witteveen, E, van der Meer, FJM. Uncertainty of international sensitivity index and international normalized ratio. J Thromb Haemostasis 2013;11:1615–7. https://doi.org/10.1111/jth.12311.Search in Google Scholar PubMed
19. Van den Besselaar, AMHP. Comparison of lyophilized plasmas with fresh plasmas for calibration of thromboplastin reagents in oral anticoagulant control. Br J Haematol 1996;93:437–44. https://doi.org/10.1046/j.1365-2141.1996.5011041.x.Search in Google Scholar PubMed
20. Poller, L, van den Besselaar, AMHP, Jespersen, J, Tripodi, A, Houghton, D. A comparison of artificially-depleted, lyophilized coumarin and fresh coumarin plasmas in thromboplastin calibration. European Concerted Action on Anticoagulation. Br J Haematol 1998;101:462–7. https://doi.org/10.1046/j.1365-2141.1998.00728.x.Search in Google Scholar PubMed
21. Meijer, P, Kynde, K, van den Besselaar, AMHP, Van Blerk, M, Woods, TAL. International normalized ratio (INR) testing in Europe: between-laboratory comparability of test results obtained by Quick and Owren reagents. Clin Chem Lab Med 2018;56:1698–703. https://doi.org/10.1515/cclm-2017-0976.Search in Google Scholar PubMed
Supplementary Material
This article contains supplementary material (https://doi.org/10.1515/cclm-2024-1446).
© 2025 the author(s), published by De Gruyter, Berlin/Boston
This work is licensed under the Creative Commons Attribution 4.0 International License.
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- Frontmatter
- Editorials
- The journey to pre-analytical quality
- Manual tilt tube method for prothrombin time: a commentary on contemporary relevance
- Reviews
- From errors to excellence: the pre-analytical journey to improved quality in diagnostics. A scoping review
- Advancements and challenges in high-sensitivity cardiac troponin assays: diagnostic, pathophysiological, and clinical perspectives
- Opinion Paper
- Is it feasible for European laboratories to use SI units in reporting results?
- Perspectives
- What does cancer screening have to do with tomato growing?
- Computer simulation approaches to evaluate the interaction between analytical performance characteristics and clinical (mis)classification: a complementary tool for setting indirect outcome-based analytical performance specifications
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- Artificial base mismatches-mediated PCR (ABM-PCR) for detecting clinically relevant single-base mutations
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- Antiphospholipid IgG Certified Reference Material ERM®-DA477/IFCC: a tool for aPL harmonization?
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- Simple steps to achieve harmonisation and standardisation of dried blood spot phenylalanine measurements and facilitate consistent management of patients with phenylketonuria
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- Temporal dynamics in laboratory medicine: cosinor analysis and real-world data (RWD) approaches to population chronobiology
- Establishing sex- and age-related reference intervals of serum glial fibrillary acid protein measured by the fully automated lumipulse system
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- Performance of the automated digital cell image analyzer UIMD PBIA in white blood cell classification: a comparative study with sysmex DI-60
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- Flow-cytometric MRD detection in pediatric T-ALL: a multicenter AIEOP-BFM consensus-based guided standardized approach
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- Assessing the clinical applicability of dimensionality reduction algorithms in flow cytometry for hematologic malignancies
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- Reply to “Is this quantitative test fit-for-purpose?”
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