Analytical Evaluation of Three Portable Blood Glucose Meters for Human Use in Dogs
José Lucas Xavier Lopes, Taís Bock Nogueira, Luana Rodrigues, Vitória Strzeleski Wodzik, Denise Iparraguirre da Silva, Bruna dos Santos Machado, Álan Gomes Pöppl

TL;DR
This study tested three human blood glucose meters for use in dogs and found one to be reliable enough for veterinary use.
Contribution
The study evaluates the reliability of human-use blood glucose meters for veterinary applications in dogs.
Findings
The Accu-Chek Guide® meter met clinical precision criteria for use in dogs.
None of the meters fully met analytical precision standards for glucose levels.
Using the Accu-Chek Guide® did not negatively impact dog health.
Abstract
Portable blood glucose meters (PBGMs) provide a convenient means of obtaining near-instantaneous glycemic measurements, serving as a valuable alternative in situations where laboratory resources are unavailable. This study evaluated the accuracy of three human-use PGMs in measuring glycemia in dogs, comparing their results to the gold-standard method. The goal was to ascertain whether these devices could be deemed reliable for veterinary application and whether treatment decisions based on these measurements could impact the health of the animals, particularly given the scarcity of veterinary-specific devices in Brazil and the rapid turnover of human-use devices in the Brazilian market. 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…
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Taxonomy
TopicsDiabetes Management and Research · Hyperglycemia and glycemic control in critically ill and hospitalized patients · Diabetes and associated disorders
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, portable blood glucose meters (PBGMs) become invaluable. They provide immediate glycemic values, facilitating rapid clinical decisions, such as diagnosing diabetes mellitus (DM) or determining the necessity for glucose supplementation in a hypoglycemic animal [4,5]. DM is a common clinical diagnosis in Brazil due to the overrepresentation of the progesterone-related form [6]. The PBGM’s use may not only help provide a quick diagnosis but it is also quite inexpensive compared to a reference method, often performed in laboratories outside the clinical setting. Also, glycemic evaluation by the owners at home is a valuable tool during insulin therapy adjustments and long-term monitoring [7]. Notwithstanding, serial blood glucose curves in diabetic dogs are somewhat difficult to interpret due to the day-to-day variability, without being further impaired by a PBGM’s inaccuracy [8].
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 are 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 [7,9,10].
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 in the routine of 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 during their consultation, resulting in 69 dogs. Some of these patients participated at different time points throughout the study. This population included 33 (47.8%) dogs with DM, 28 (40.6%) dogs with Cushing’s syndrome, 3 (4,3%) dogs without endocrine diseases being evaluated for check-up, 2 (2.9%) dogs with hypothyroidism, and another 3 dogs diagnosed with alopecia X, primary hyperlipidemia, and insulinoma (1.4% each).
At each evaluation, dogs underwent a complete blood count (CBC) as part of their overall health status evaluation and to evaluate their hematocrit (HT). Serum biochemical and hormonal variables were also performed according to the individual’s history. Importantly, the devices used in this research work adequately in a hematocrit range between 10 and 68%. None of the patients exhibited hematocrit values out of this range.
2.2. Blood Collection and Glycemia Determination
The samples were collected via the venous puncture of the jugular vein using a 5 mL syringe equipped with a 30 × 0.7 mm hypodermic needle during the dog’s clinical consultations in the endocrine service. Immediately after collection, the samples were aliquoted into three separate tubes (Vacutainer, BD^®^, Franklin Lakes, NJ, 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, Rosario, 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 PBGMs at room temperature.
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, Basel, Switzerland, as well as the EcoCheck^®^ (EC) device from Eco Diagnóstica in Nova Lima, 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 according to the international organization for standardization [11]. 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 [11]. Furthermore, clinical precision was evaluated using the Parkes error grid, which is divided into five zones: A (clinically accurate), B (altered clinical action, but with no or minimal effect on clinical outcome), C (altered clinical action likely to affect the clinical outcome), D (altered clinical action with considerable medical risk), and E (altered clinical action with potentially dangerous consequences) [12]. For a glucose meter to be recognized as accurate, ISO 2013 mandates that 99% of glycemic readings fall within Zones A and B [11]. 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 [13,14].
2.4. Statistical Analyses
Statistical analysis was conducted using GraphPad Prism software (version 6.05, San Diego, CA, 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 [15]. The results were distributed with each glucose meter in the Parkes error grid using the BD Error Grid (version 1.0) spreadsheet for Excel on Windows [12].
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 = 69). However, the ACG was discontinued in Brazil during the study and was subsequently replaced by the ACGM device (n = 146). 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%) were classified as normoglycemic (mean = 88 ± 14.12 mg/dL), and 204 samples (48.6%) were classified 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 range, 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 [1,16,17,18,19,20]. The validity of various human-use PBGMs for application in dogs is a topic of frequent study [21,22,23].
The validation of various human-use point-of-care PBGMs for application in dogs is a subject of frequent research [1,4,16,17,18,19,20,21,22,23]. A study comparing the ACG device with the One Call Plus II^®^ (OCP) claimed the former as more accurate and precise [23], despite differences with our study in statistical analysis and glycemic ranges. Despite the small number of samples included in the evaluation of the ACG in our study, especially above the actual cutoff for canine DM diagnosis (>200 mg/dL) [24], our results reinforce this device as a relatively good choice for veterinary use in dogs. To the authors’ knowledge, no other studies have assessed the analytical accuracy of the EcoCheck^®^ (EC) and Accu-Chek Guide ME^®^ (ACGM) glucose meters. Despite the ACG device being off the market in Brazil, its superior analytical and clinical performance compared with its substitute (ACGM) warrants its continuous use, since its test strips are still available and are the same as those used with the newly released ACGM.
According to Gerber and Freeman [9], several factors can interfere with glycemic measurement, including lipemia, 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 patient’s hematocrit was systematically assessed across all samples. Despite other blood tests (serum biochemistry and serum hormone concentration) being eventually performed according to individual cases, mixed clinical pictures were present among the study participants and may have ultimately biased the results. However, this limitation is amenable in a clinical setting with real clinical cases (i.e., not in experimental dogs with induced hypo or hyperglycemia).
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 [14,18,25,26]. Even so, given the risk hypoglycemia brings to the pet [13], and the burden of a hypoglycemic crisis on the owners [27], it may be considered less problematic that a given PBGM reads lower than the real glucose value than the opposite.
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. The significance and relevance of portable glucose meters in clinical practice are clear. However, selecting these devices should not be carried out 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.
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 [11]. The research conducted by Brito-Casillas et al. [16] 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 [11,16].
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 [12].
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). It is worthwhile that the correlation coefficient evaluated in isolation may create a false impression of accuracy. In this way, the ISO 15197:2013 recommendations to evaluate a PBGM’s accuracy are warranted. 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 to be normal are seldom confirmed subsequently [28].
5. Conclusions
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.
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