The purpose of this trial was to compare the results of our measurments on three GSS performed under the routine conditions of a diabetes practice with the a priori accuracy of GSS estimated using certified methods. Special attention was paid to the recent GSS Galileo Glu/Ket as we are going to include betahydroxybutyrate in the monitored parameters in selected PWD [20].
ISO 15197 [17] defines for GSS the following accuracy criteria: Ninety-five percent (95%) of the individual glucose results will fall within ± 0,83mmol/L (15mg/dL) of the Reference at glucose concentration less than 5.55 mmol/L (100 mg/dL) and within ± 15% at glucose concentration equal to or more than 5.55 mmol/L (100 mg/dL). Evaluation of the system accuracy will be performed with fresh capillary blood samples of with sufficient volume for the blood glucose monitoring system measurements and reference measurements specified in the study protocol. At least 100 pairs of glucose concentrations (GSS value vs Reference value) should be estimated whereas the requested distribution of samples with specified glucose concentrations should be considered (Table 1). Laboratory adjustment for low and high glucose concentrations is possible. The procedures should be repeated for the other 2 reagents‘ LOTs.
Our trial revealed significant downward deviations of cPG Calla readings exceeding the 5,55 mmol/L (100 mg/dL) (Fig. 3) and upward deviations of cPG Galileo readings below 7,0 mmol/L (126 mg/dL) compared to reference vPG on laboratory analyzer COBAS Integra 400 (Table 3, Table 4, Fig. 5). We aimed to define and assesse a factor to correct the Galileo cPG values (< 7.0 mmol/L = 126 mg/dL) into the acceptable area. (Table 3, Table 4, Fig. 6) Nevertheless, we were unable to find a correction factor for the cPG values of GSS Calla. (Table 3, Table 4, SM4) The primary cause of these deviations remains to be clarified.
There are concerns about the design of our trial and the accuracy outcomes of previous studies.
Our present trial on Galileo, Calla and Controur Plus One 2021–2022
-
We compared readings of the cPG from GSS Galileo Glu/Ket, Calla Light and Contour Plus One displays with a mean value of three vPG measurements.
-
Diabetes-related diagnostic and therapeutic recommendations in the Czech Republic are based on the glucose concentration in venous plasma which is assumed to be strongly related to capillary plasma. We applied vPG as a reference parameter.
-
GSS Galileo and GSS Calla employ glucoseoxidase-based sensors; our analyzer Cobas Integra 400 estimates vPG employing the spectrophotometric hexokinase-based accredited method and its accuracy is regularly re-tested. [SM 7] Capillary and venous samples were acquired by health care professionals.
-
The weak points of this study are related to two deviations from the ISO 15197/2013: (1) the number of required vPG concentrations less than 2,77 mmol/L (50 mg/dL) (bin 1), and of vPG values > 2,77 − 4,44 mmol/L (50–80 mg/dL) (bin 2) and of vPG values > 16,65–22,20 mmol/L (300–400 mg/dL) (bin 6) were not reached (Table 1). As this study aimed to reflect the real clinical practice, we did not carry out any laboratory adjustment for low and high cPG. (2) In each GSS we tested only one LOT of strips (instead of three LOTs) which was available at the trial period.
To support the reliability of our conclusions, in 6 tested persons we repeated the vPG estimation 24 h after the blood collection and centrifugation. In between, the Grainer tube was kept in the refrigerator at 5°C. Even though the reduction of vPG after 24 h was only slight (0.13–1.04 mmol/L (2–20 mg/dL), average 0.33 mmol/L (6 mg/dL), it is worth mentioning in relation to the comparison of immediate cPG readings on individual GSS and up to 4 h delayed vPG readings on Cobas. [SM 8] Whether this finding could be a factor influencing the deviation of readings on the Galileo from Cobas, is open to question. A decline in the accuracy of GSS Calla over the last 8 years is also suspected. [15], [SM 9], [SM 10]
Previous clinical and laboratory trial on GSS Galileo by Weissenbacher et al 2019 [16]
The system accuracy evaluation was performed with three glucose test strip LOTs, six devices and with 100 samples that were distributed over the blood glucose measurement range with a distribution of glucose values as recommended by the ISO standard. The extremely low and high values were obtained by laboratory manipulations. Capillary samples were acquired by a health care professional.
The YSI 2300Stat Plus device (YSI Ltd., Yellow Springs, UT) served for the glucose test strip comparison.
A total of 600 data-pairs distributed according to ISO guidelines over the measurement range (1.89–27.22 mmol/L = 34–500 mg/dL) were obtained.
The ISO acceptance criteria were met by 100% (186/186) of the readings < 5.55 mmol/L (100 mg/dL) and also by 100% of the readings (414/414) with glucose values ≥ 5.55 mmol/L (100 mg/dL).
Previous trials on GSS Contour Plus
Bailey et al [21] in 2017 found high accuracy of Contour Plus One: 99.2% (133/134) of subject-obtained capillary fingertip results and 100% (132/132) of study staff–obtained venous results met ISO 15197:2013 accuracy criteria. Plasma samples were tested in duplicate on a YSI 2300 STAT Plus™ laboratory glucose analyzer.
Klaff et al [22] in 2020 assessed the accuracy and user performance of a new GSS CONTOUR® Plus Elite which applies the same strips as Contour Plus One. Capillary fingertip blood samples from 100 PWD were tested with test strips from three different LOTs. The results are compatible with the results of our present study: minimum ISO 15197:2013- specified standards for accuracy (± 0,83 mmol/L = 15 mg/dL) at BG < 5.55 mmol/L = 100 mg/dL); ±15% at BG ≥ 5.55 mmol/L = 100 mg/dL) were exceeded. Error grid analysis showed that 100% of results were within zone A.
The following questions arise:
-
Would different oxygen tension in capillary and venous blood significantly affect cPG measured with glucoseoxidase-based amperometric Galileo teststrips eliminating any interference with the glucosedehydrogenase-based amperometric Contour Plus teststrips? The observations of Tang et al. [23] support this sophisticated explanation by finding that increases in oxygen tension lowered glucose measured with glucoseoxidase-based amperometric test strips and did not significantly affect glucose measured with the glucosedehydrogenase-based amperometric test strips. Nevertheless, we have not measured the oxygen tension in our specimens and this possibility remains speculative.
-
Would a 2 to 4 h time lag between measurement of cPG using GSS Galileo and measurement of vPG on Cobas Integra 400 result in an observed PG difference? This potential factor appears to be of little importance as the Grainer sample tube is heparinized and contains lithium fluoride, EDTA, citrate and sodium azide; centrifugation was performed within 20 min after blood collection. In addition, should this be really relevant we might expect similar differences in all GSS and over the whole range of PG concentrations. We have found a potentially suspicious marker, namely, a slight reduction in vPG concentration 24 h after the blood collection (Avg 0.33 mmol/L = 6 mg/dL per 24 h, n = 6), which might support this hypothesis [SM 8].
-
Would potential specific differences between reference methods employed on COBAS Integra 400 analyzer (using hexokinase) in our study and on YSI 2300Stat Plus (using glucoseoxidase) employed by Bailey [21] and Weissenbacher [16] help to solve the problém of different accuracy of GSS Galileo [24]?
In recent years the accuracy of many GSS has been assessed. Outcomes of various studies and metaanalyses are open to question [25, 26]. The requirements for ISO standards are increasing. [27]
Repeated evaluation of certified systems may become mandatory. [28] Karon et al. [29] studied the accuracy of point-of-care glucometers and the impact of sample source on the accuracy of glucometer results. There were no significant differences between median capillary whole blood (8.3 mmol/L = 149 mg/dL) and laboratory plasma (8.4 mmol/L = 151 mg/dL) glucose concentrations. The medians of arterial (8.9 mmol/L = 160 mg/dL) and of venous (9.0 mmol/L = 162 mg/dL) whole blood glucose concentrations were significantly higher than the median of laboratory PG concentration. Adnan et al. [30] showed a strong association between capillary and venous glucose measurements. It may be difficult to assess the effect of factors that can impact the glucose measurement, such as sample type and measuring procedure for a given PG concentration [31]. PG concentration in fasting capillary plasma is found to be 0.1–0.3 mmol/L (2–6 mg/dL) higher than in venous plasma. [32]
The performance of a quantitative monitoring device can be based on analytical accuracy or clinical accuracy. Analytical accuracy quantitatively expresses how close the measurement by the index system is to the same measurement by a reference method. Clinical accuracy is a qualitative measure expressing the clinical outcome resulting in a treatment decision. The error grids for glucose self-measurement devices have five zones—Zone A through Zone E—with A indicating the least risk and E indicating the most risk. [33]
In our study, by subtraction of 0.7 mmol/L (13 mg/dL), the upward deviation of low cPG Galileo (Fig. 5) could be brought into the required “accuracy area” of vPG (Fig. 6) whereas 99% of results reached the zone A/B as it is required by the standard of ISO 15197. Given these observations, people using Galileo are trained in corrections of PG readings and in adequate adaptations of diabetes management. A potential perspective of glucosedehydrogenase method [34], analytical and clinical performance of GSS, education and communication of the data between user and physician should be brought in mind.
In conclusion: (1) Borderline ISO standard requested accuracy of GSS Galileo was found for cPG ≥ 7 mmol/L (126 mg/dL) whereas for cPG < 7 mmol/L (126 mg/dL) a correction factor − 0.7 mmol/L (13 mg/dL) is necessary. The accuracy of GSS Contour Plus One but not of Calla was confirmed. (2) In clinical practice, in addition to sustainable reviews of GSS also data communication between health care professionals and GSS users should be considered.