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Analytical Evaluation of Three Portable Blood Glucose Meters for Human Use in Dogs

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24 March 2025

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Abstract
Portable blood glucose meters (PBGMs) are essential for detecting glycemic disorders. In Brazil, veterinary devices are scarce, and human devices are used as an alternative. This study evaluated the accuracy of three human glucometers: Accu-Chek Guide® (ACG) and Accu-Chek Guide Me® (ACGM) (Roche), and EcoCheck® (EC) (Eco Diagnóstica). A total of 419 glycemic samples were collected and compared to the glucose oxidase method (GOM), considered the gold standard. Despite a strong positive correlation compared to the GOM (ACG r = 0.96; ACGM r = 0.9; EC r = 0.89; P <0.0001), when evaluated by the criteria defined by ISO15197:2013 for analytical precision, no PG obtained 99% of the readings within the range of +/- 15 for glucose levels <100 mg/dL and +/- 15% for glucose levels > 100mg/dL (ACG = 57.9%, ACGM = 47.9%, and EC = 28.4%). ACG was the only PG that fully met the clinical precision criteria according to ISO15197:2013, with 100% of its measurements in zones A+B of the error grid. Despite analytical inaccuracy, ACG PBGM proved to be the best among the devices tested in this study for use in dogs with whole blood samples, not generating any negative impact on animal health.
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1. Introduction

Glycemic measurement serves as an essential tool for diagnosing and monitoring various diseases in both humans and domestic animals [1]. Most laboratories utilize automated analyzers, primarily based on hexokinase or glucose oxidase reactions, which are regarded as reference methods (RMs) for glycemic assessment [2,3].
In situations where RMs for glycemic measurement are not accessible, particularly in emergencies, PBGMs become invaluable. They provide immediate glycemic values, facilitating rapid clinical decisions, such as diagnosing diabetes mellitus or determining the necessity for glucose supplementation in a hypoglycemic animal [4,5].
Historically, PBGMs have been developed for measuring capillary glycemia in humans, with limited options available exclusively for veterinary use. As a result, veterinarians often resort to using PBGMs designed for humans on dogs and cats. One notable example is the AlphaTrak2®, a glucose meter recognized for its accuracy in measuring glycemic levels in canines and felines worldwide, although it is unavailable in Brazil. Meanwhile, a diverse array of human-use PBGMs is readily accessible, with new devices frequently entering the market and others being phased out, leading to significant turnover. However, it is crucial to evaluate the analytical accuracy and precision of these devices before incorporating them into routine veterinary clinical practice [6,7,8].
Thus, the objective of this study was to evaluate the analytical accuracy and clinical precision of three human-use PBGMs for determining glycemia in dogs using whole blood samples.

2. Materials and Methods

2.1. Patients

This study was conducted with canine patients seen during routine service at the Veterinary Endocrinology and Metabolism Service (SEMV - PetEndocrine®) at the Veterinary Teaching Hospital of the Federal University of Rio Grande do Sul (HCV/UFRGS) in Brazil. The study included patients with a clinical indication for blood sampling, specifically for glycemic evaluation, resulting in a total of 69 dogs. Some of these patients participated at various points throughout the study. All dogs underwent a complete blood count (CBC) to assess their overall health status. Importantly, the devices used in this research work adequately in a hematocrit range between 10 - 68%. None of the patients exhibited hematocrit (HT) alterations that could potentially influence glycemic levels.

2.2. Blood Collection and Glycemia Determination

The samples were collected via venous puncture of the jugular vein using a 5 mL syringe equipped with a 30 x 0.7 mm hypodermic needle. Immediately after collection, the samples were aliquoted into three separate tubes (Vacutainer, BD®, New Jersey, USA), each containing the following: 1) EDTA (for complete blood count analysis), 2) a tube without anticoagulant (for specific biochemical determinations as needed), and 3) EDTA with sodium fluoride for glycemia measurement using the enzymatic colorimetric glucose oxidase method, performed with an automatic spectrophotometer (CM 200®, Wiener Lab Group, Argentina). To transfer the samples into the respective tubes, the syringe needle was detached, and after removing the caps, the blood was gently injected into each tube, allowing it to flow down the inner wall. The samples in the EDTA tubes were then homogenized. Additionally, a small final aliquot of whole blood was retained in the syringes for immediate glycemic measurement with the tested point-of-care blood glucose meters (PBGMs).

2.3. Technical Information of the Tested PBGMs

The devices utilized in this study were the Accu-Chek Guide® (ACG) and Accu-Chek Guide ME® (ACGM), both produced by Roche Diagnostics in Basel, as well as the EcoCheck® (EC) device from Eco Diagnóstica in Brazil. Each device requires a sample volume of 0.6 µL for glycemic readings and has an operational range of 10–600 mg/dL. Readings outside this range are indicated on the devices as "Low" or "High," respectively. According to the manufacturers, the ACG and ACGM devices are not influenced by hematocrit variations within the range of 10% to 65%, while the EC device is free from hematocrit interference within a range of 20% to 68%.
All devices were assessed for their analytical accuracy by the ISO 15197:2013 standard. To be deemed accurate, the devices must demonstrate a maximum variation of ± 15 mg/dL when glycemia is ≤ 100 mg/dL, or ± 15% when glycemia is ≥ 100 mg/dL, achieving this in at least 95% of measurements compared to the reference method (ISO, 2013). Furthermore, clinical precision was evaluated using the Parkes error grid, which is divided into five zones: A, B, C, D, and E [9]. For a glucose meter to be recognized as accurate, ISO 2013 mandates that 99% of glycemic readings fall within zones A and B [10]. The coefficient of variation (CV%) for each device was also calculated based on three repeated measurements of the same blood sample. Samples were categorized as hypoglycemic if the values were <60 mg/dL, normoglycemic if they fell between 60 and 116 mg/dL, and hyperglycemic if they exceeded 116 mg/dL [11,12].

2.4. Statistical Analyses

Statistical analysis was conducted using the GraphPad Prism software (version 6.05, San Diego, USA). The Pearson linear correlation coefficient was determined between the results obtained with the different glucose meters and the RM. Values of p < 0.05 were considered statistically significant. Additionally, the difference between the results determined by the PBGMs and the RM was represented through Bland-Altman plots [13]. The results were distributed with each glucose meter in the Parkes error grid using the BD Error Grid spreadsheet for Excel on Windows [9].

3. Results

The sample size tested with each glucose meter was not uniform, as the study initially concentrated on the analytical evaluation of the EC device (n = 204), followed by the inclusion of the ACG device (n = 146). However, the ACG was discontinued in Brazil during the study and was subsequently replaced by the ACGM device (n = 69). In total, 419 samples were assessed across the three glucose meters. Among these, 34 samples (8.1%) were classified as hypoglycemic (mean = 36.7 ± 14.15 mg/dL), 181 samples (43.1%) as normoglycemic (mean = 88 ± 14.12 mg/dL), and 204 samples (48.6%) as hyperglycemic (mean = 317.7 ± 126.11 mg/dL).
None of the three devices met the analytical accuracy criteria established by ISO 15197:2013 (see Figure 1). For the EC device, only 28.4% (Figure 1A) of the readings fell within the acceptable variation, while for the ACGM and ACG devices, this figure was 47.9% (Figure 1B) and 57.9% (Figure 1C), respectively.
In terms of clinical accuracy, neither the EC nor the ACGM devices satisfied the ISO criteria, with only 94% of measurements falling within Zones A and B (61% in Zone A and 33% in Zone B) for the EC device and 89% (53% in Zone A and 36% in Zone B) for the ACGM. In contrast, the ACG device emerged as the most accurate PBGM in this study, achieving 100% of measurements within Zones A and B, with 75% in Zone A and 25% in Zone B (refer to Figure 2A–C).
The three PBGMs exhibited a notable positive correlation, as indicated by Pearson's correlation coefficient (Figure 3). Specifically, for the ACG PBGM, the correlation coefficient was r = 0.96 (95% CI = 0.93 to 0.97; p < 0.0001). The ACGM PBGM demonstrated a coefficient of r = 0.93 (95% CI = 0.90 to 0.95; p < 0.0001), while the EC PBGM showed a coefficient of r = 0.89 (95% CI = 0.87 to 0.92; p < 0.0001).
Regarding the coefficient of variation (CV%), no significant difference was observed among the CVs of the different PBGMs evaluated (p = 0.077), despite the wide variability documented in some readings of the EC device, as shown in Table 1.

4. Discussion

PBGMs play a crucial role in small animal clinical practice. However, in certain countries, the absence of devices specifically designed for canine and feline species makes it necessary to use human devices as an alternative. This is acceptable as long as these devices are validated for use in animals or at least do not result in erroneous decision-making regarding patient management [1,15,16,17,18]. The validity of various human-use PBGMs for application in dogs is a topic of frequent study [19,20].
The validation of various human-use point-of-care PBGMs for application in dogs is a subject of frequent research [1,4,14,15,16,17,18,19,20]. One study conducted a comparison between the Accu-Chek Guide® (ACG) glucose meter and the One Call Plus II® (OCP). Despite some differences in statistical analysis and variations in glycemic ranges between that study and ours, the ACG was found to be more accurate and precise than the OCP, which aligns with the results of our research [21]. As of now, no other studies have assessed the analytical accuracy of the EcoCheck® (EC) and Accu-Chek Guide ME® (ACGM) glucose meters.
According to Gerber & Freeman [7], several factors can interfere with glycemic measurement, including lipemia, the presence of plasma pigments such as bilirubin, blood pH, partial oxygen pressure (PO2), and hematocrit levels. A limitation of our study was that, among these variables, only the hematocrit of the patients was systematically assessed across all samples. Importantly, 100% of the samples exhibited hematocrit readings within the range deemed interference-free by the manufacturers (data not shown).
Documenting hematocrit levels and understanding the interference-free range of the PBGM is essential, as anemic patients may display overestimated glycemic readings, while those with elevated hematocrit levels could show underestimated readings. These discrepancies arise from the differential plasma contact with the reagent strip, leading to either increased or decreased measurement accuracy [14,18,22,23].
The findings of this study reveal that, although there is a strong correlation between the results obtained from the human-use PBGMs ACG, ACGM, and EC compared to the laboratory method, none of these devices entirely satisfied the analytical accuracy recommendations outlined in ISO 15197:2013. This ISO standard has served as a foundational reference for research assessing the clinical and analytical accuracy of human glucose meters, and it is commonly utilized in veterinary medicine studies to evaluate these parameters [10].
The research conducted by Brito-Casillas et al. [14] assessed the accuracy of nine human-use glucose meters in dogs, adhering to this standard. This study was pioneering in its adoption and promotion of the standard within veterinary medicine, thus setting a benchmark for future research aimed at examining the accuracy and precision of human glucose meters in animals [10,14].
In terms of clinical accuracy, only the ACG device met the necessary criteria to be classified as clinically precise according to the Parkes error grid, with 100% of its measurements falling within zones A and B. In contrast, neither of the other two evaluated devices fulfilled the minimum requirements established by ISO 15197:2013. This indicates that making therapeutic decisions based on glycemic results from the ACGM and EC devices could potentially lead to inappropriate actions for patients, although errors categorized in zone C of the error grid are considered low-risk [14].
The evaluation of three glucose meters revealed a significant positive correlation, as indicated by Pearson's correlation coefficient. The correlation was classified as very strong (> 0.9) for the PBGMs ACG (r = 0.96) and ACGM (r = 0.93). In contrast, the correlation for the EC glucose meter was categorized as merely "strong" (r = 0.89). Additionally, an analysis of the coefficient of variation (CV%) showed that, on average, although there were no significant differences among the three devices tested, the readings from the EC PBGM demonstrated the highest dispersion index, with differences reaching up to 36% among readings of the same sample. Understanding the CV% of PBGMs is crucial in clinical practice, as glycemic readings are frequently taken as single-point measurements, and results considered normal are seldom confirmed subsequently [24].

5. Conclusions

The significance and relevance of portable glucose meters in clinical practice are clear. However, selecting these devices should not be done indiscriminately or haphazardly. The frequent introduction of new models and the phasing out of older ones contribute to a rapidly evolving market. Consequently, this study underscores the necessity of rigorously assessing both the analytical and clinical accuracy of the available portable blood glucose meters (PBGMs), particularly those intended for human use, given the limited availability of veterinary-specific options in Brazil.
In our research, none of the glucose meters met the ISO 15197:2013 standards, resulting in their analytical inaccuracy. However, the Accu-Chek Guide® successfully fulfilled the required specifications for clinical accuracy, making it the superior choice among the devices tested for routine glycemic monitoring in dogs, delivering prompt and reliable results. Nonetheless, its discontinuation in the Brazilian market indicates that its successor, the Accu-Chek Guide ME, emerges as the most suitable option among the PBGMs evaluated.

Author Contributions

J.L.X.L. and A.G.P. were responsible for data analysis, statistical analysis, writing, sample collection, and manuscript reviewing. T.B.N, L.R, V.S.W, D.I.d.S, and B.d.S.M were responsible for sample collection. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

For this study, a specific protocol number was not generated because the animals used were routine patients at SEMV, whose glucose measurements were essential for their management and clinical treatment. These animals were not subjected to any additional experiments beyond the blood collection for glucose monitoring, a standard and crucial procedure for the management of their clinical cases. Blood collection was conducted according to established veterinary norms and practices, ensuring the well-being of the animals and the integrity of the results obtained.

Informed Consent Statement

Not applicable. The animals were from the university lab. Data Availability Statement: Materials and data sheets are available upon request to interested researchers.

Acknowledgments

The authors would like to thank the “Programa de Ações em Endocrinologia Veterinária (PetEndocrine)” from the Universidade Federal do Rio Grande do Sul for supporting this manuscript and the Fundação Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil.

Conflicts of Interest

The authors declare no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
PBGM Portable blood glucose meters
ACGM Accu-Chek Guide Me®
EC EcoCheck®
ACG
GOM
ISO
RM
CBC
HT
CV%
OCP
PO2
Accu-Chek Guide®
Glucose oxidase method
International Organization for Standardization
Reference method
Complete blood count
Hematocrit
Coefficient of variation
One Call Plus II®
Partial oxygen pressure

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Figure 1. – The Bland-Altman scatter plots for each PBGM are illustrated below. The X-axis (the horizontal line at the bottom of the graph) represents the glycemia values obtained by the reference method (RM), while the Y-axis (the vertical line) shows the difference between the glycemic value obtained by the PBGM and that from the RM. The red lines denote the limits established by ISO 15197:2013 for classifying device accuracy. The gray line that intersects the red lines vertically indicates the trivial glycemic threshold of 100 mg/dL. According to ISO 2013, the devices must adhere to a maximum variation limit for PBGMs to be deemed accurate. The plots correspond to the following devices: (A) Eco Check; (B) Accu-Chek Guide ME; and (C) Accu-Chek Guide.
Figure 1. – The Bland-Altman scatter plots for each PBGM are illustrated below. The X-axis (the horizontal line at the bottom of the graph) represents the glycemia values obtained by the reference method (RM), while the Y-axis (the vertical line) shows the difference between the glycemic value obtained by the PBGM and that from the RM. The red lines denote the limits established by ISO 15197:2013 for classifying device accuracy. The gray line that intersects the red lines vertically indicates the trivial glycemic threshold of 100 mg/dL. According to ISO 2013, the devices must adhere to a maximum variation limit for PBGMs to be deemed accurate. The plots correspond to the following devices: (A) Eco Check; (B) Accu-Chek Guide ME; and (C) Accu-Chek Guide.
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Figure 2. – Error grids of the PBGMs utilized in the study. To be deemed clinically accurate, a glucose meter must demonstrate that at least 99% of glycemia readings fall within zones A and B. The Accu-Chek Guide was the only device to meet this criterion completely, achieving 100% glycemia readings within the reference ranges. In contrast, the PBGMs EC and ACGM only reached 94% and 89%, respectively, and were therefore not classified as clinically accurate.
Figure 2. – Error grids of the PBGMs utilized in the study. To be deemed clinically accurate, a glucose meter must demonstrate that at least 99% of glycemia readings fall within zones A and B. The Accu-Chek Guide was the only device to meet this criterion completely, achieving 100% glycemia readings within the reference ranges. In contrast, the PBGMs EC and ACGM only reached 94% and 89%, respectively, and were therefore not classified as clinically accurate.
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Figure 3. Pearson correlation graph illustrating the relationship between the evaluated PBGMs and the reference method (RM). (A) EcoCheck; (B) Accu-Chek Guide ME; (C) Accu-Chek Guide. This graph exhibits a positive correlation at varying levels between the assessed PBGMs and the RM, particularly highlighting the Accu-Chek Guide (ACG), which showed a correlation with the RM of r = 0.96, indicating a strong agreement with the RM.
Figure 3. Pearson correlation graph illustrating the relationship between the evaluated PBGMs and the reference method (RM). (A) EcoCheck; (B) Accu-Chek Guide ME; (C) Accu-Chek Guide. This graph exhibits a positive correlation at varying levels between the assessed PBGMs and the RM, particularly highlighting the Accu-Chek Guide (ACG), which showed a correlation with the RM of r = 0.96, indicating a strong agreement with the RM.
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Table 1. The Coefficients of Variation (CV%) for the evaluated Portable Blood Glucose Meters are presented. Mean CV% values, along with 95% confidence intervals (CI95%) and the range of minimum to maximum CV% for the devices—EcoCheck® (EC), Accu-Chek Guide® (ACG), and Accu-Chek Guide ME® (ACGM)—are included. The table emphasizes the precision variability among the devices, revealing that EC has the highest variability range, whereas ACG and ACGM demonstrate relatively lower and more consistent ranges of variability.
Table 1. The Coefficients of Variation (CV%) for the evaluated Portable Blood Glucose Meters are presented. Mean CV% values, along with 95% confidence intervals (CI95%) and the range of minimum to maximum CV% for the devices—EcoCheck® (EC), Accu-Chek Guide® (ACG), and Accu-Chek Guide ME® (ACGM)—are included. The table emphasizes the precision variability among the devices, revealing that EC has the highest variability range, whereas ACG and ACGM demonstrate relatively lower and more consistent ranges of variability.
PBGM Mean CV% CV% CI95% CV% Minimum–Maximum
EC 6,09 4,06–9,73 0,9–36
ACG 3,02 2,18–3,86 0,21–9,39
ACGM 2,4 1,61–4,28 0,8–5,5
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