Evaluation of the Freestyle Optium Neo H point-of-care device for measuring blood glucose concentrations in sick calves
Open accessAbstract
BACKGROUND: Data on the performance of a glucometer in calves with different diseases are currently lacking. OBJECTIVE: The primary objective of this study was to evaluate the reliability of a point of care glucometer in calves affected by different diseases relative to a traditional bench-top autoanalyzer. ANIMALS: One hundred ninety-six calves with different disorders in a referral hospital. METHODS: Prospective study. Venous blood samples were used for the determination of glucose concentrations in blood and plasma using the Freestyle Optium Neo H and autoanalyzer, respectively. Data were subjected to Passing-Bablok regression and Bland-Altman plots. The Freestyle Optium Neo H was the test method and the autoanalyzer was the reference method. The diagnostic performance of the glucometer relative to the autoanalyzer was assessed using 3 different plasma glucose concentrations. RESULTS: The Passing-Bablok regression for the glucometer against the reference method revealed the presence of both proportional bias (1.12; 95% confidence interval [CI], 1.07-1.18) and constant bias (-11.25; 95% CI, -16.0 to -7.70). The glucometer yielded 92.2%-100% sensitivity and 86.4%-96% specificity for the assessing glucose concentration based on different concentration thresholds. CONCLUSIONS AND CLINICAL IMPORTANCE: The Freestyle Optium Neo H showed proportional and constant biases relative to the reference method. The glucometer showed poor performance according to criteria recommended by the International Standards Organization and the American Society for Veterinary Clinical Pathology. However, the glucometer determined hypoglycemia with high sensitivity and specificity therefore it might be used to diagnose hypoglycemia in calves with different diseases until calf-specific POC glucometers are developed.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Blood glucose and BHB concentrations were determined using a hand-held meter and test strips.
“In addition, whole blood was immediately analyzed using a hand-held meter (Freestyle Optium Neo H, Abbott Diabetes Care Inc., Alameda, CA) and test strips to determine the blood glucose (Nishi et al., 2019; Karapinar et al., 2020) and BHB concentrations (Suarez-Mena et al., 2017).”
From Relative merits of offering a milk replacer, glucose-electrolyte, or whey-based diet on the blood composition and health of unweaned calves after transport. (2024) · cites this paper as Karapinar et al., 2020
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Fitting Linear Mixed-Effects Models Using <b>lme4</b>
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835 · see citing works
An introduction to ROC analysis
Fawcett, T. (2006) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.10.010 · Cited by 21,879 · see citing works
Measuring the Accuracy of Diagnostic Systems
Swets, J. A. (1988) · Science · doi:10.1126/science.3287615 · Cited by 10,058 · see citing works
Measuring agreement in method comparison studies
Bland, J. M., & Altman, D. G. (1999) · Statistical Methods in Medical Research · doi:10.1177/096228029900800204 · Cited by 9,619 · see citing works
Passing, H., & Bablok, W. (1983) · cclm · doi:10.1515/cclm.1983.21.11.709 · Cited by 1,513 · see citing works
Large Animal Internal Medicine
Roussel, A. J. (1990) · Journal of Veterinary Internal Medicine · doi:10.1111/j.1939-1676.1990.tb03123.x · Cited by 750 · see citing works
Galvão, K. N., Flaminio, M. J. B. F., Brittin, S. B., Sper, R. B., Fraga, M., Caixeta, L. S., Ricci, A. L., Guard, C. L., Butler, W. R., & Gilbert, R. O. (2010) · Journal of Dairy Science · doi:10.3168/jds.2009-2551 · Cited by 241 · see citing works
ASVCP guidelines: allowable total error guidelines for biochemistry
Harr, K. E., Flatland, B., Nabity, M. B., & Freeman, K. P. (2013) · Veterinary Clinical Pathology · doi:10.1111/vcp.12101 · Cited by 227 · see citing works
IFCC recommendation on reporting results for blood glucose
(2001) · Clinica Chimica Acta · doi:10.1016/s0009-8981(01)00431-4 · Cited by 110 · see citing works
Evaluation of five portable blood glucose meters for use in dogs
Wess, G., & Reusch, C. (2000) · Journal of the American Veterinary Medical Association · doi:10.2460/javma.2000.216.203 · Cited by 96 · see citing works
Trefz, F. M., Lorenz, I., Lorch, A., & Constable, P. D. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182938 · Cited by 95 · see citing works
Use of a hand-held meter for detecting subclinical ketosis in dairy cows
Voyvoda, H., & Erdoğan, H. (2010) · Research in Veterinary Science · doi:10.1016/j.rvsc.2010.04.007 · Cited by 86 · see citing works
Proposal for standardizing direct-reading biosensors for blood glucose
Fogh‐Andersen, N., & D’Orazio, P. (1998) · Clinical Chemistry · doi:10.1093/clinchem/44.3.655 · Cited by 84 · see citing works
Hollis, A. R., Schaer, B. L. D., Boston, R. C., & Wilkins, P. A. (2008) · Journal of Veterinary Internal Medicine · doi:10.1111/j.1939-1676.2008.0148.x · Cited by 63 · see citing works
Mair, B., Drillich, M., Klein-Jöbstl, D., Kanz, P., Borchardt, S., Meyer, L., Schwendenwein, I., & Iwersen, M. (2016) · BMC Veterinary Research · doi:10.1186/s12917-016-0662-3 · Cited by 56 · see citing works
Gerber, K. L., & Freeman, K. P. (2016) · Veterinary Clinical Pathology · doi:10.1111/vcp.12310 · Cited by 52 · see citing works
Trefz, F. M., Feist, M., & Lorenz, I. (2016) · The Veterinary Journal · doi:10.1016/j.tvjl.2016.10.001 · Cited by 48 · see citing works
Macmillan, K., Lopez-Helguera, I., Behrouzi, A., Gobikrushanth, M., Hoff, B. H., & Colazo, M. G. (2017) · Research in Veterinary Science · doi:10.1016/j.rvsc.2017.06.019 · Cited by 47 · see citing works
The distribution of sugar between red cells and plasma: variations associated with age and species
Goodwin, R. F. W. (1956) · The Journal of Physiology · doi:10.1113/jphysiol.1956.sp005625 · Cited by 45 · see citing works
Evaluation of 2 electronic handheld devices for diagnosis of ketonemia and glycemia in dairy goats
Pichler, M., Damberger, A., Arnholdt, T., Schwendenwein, I., Gasteiner, J., Drillich, M., & Iwersen, M. (2014) · Journal of Dairy Science · doi:10.3168/jds.2014-8198 · Cited by 36 · see citing works
Evaluation of a portable glucose meter for use in cattle and sheep
Katsoulos, P. D., Minas, A., Karatzia, M. A., Pourliotis, K., & Christodoulopoulos, G. (2011) · Veterinary Clinical Pathology · doi:10.1111/j.1939-165x.2011.00309.x · Cited by 33 · see citing works
Performance Evaluation of Three Blood Glucose Monitoring Systems Using ISO 15197
Bedini, J. L., Wallace, J. F., Pardo, S. A., & Petruschke, T. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815609368 · Cited by 29 · see citing works
Russell, C., Palmer, J., Boston, R. C., & Wilkins, P. A. (2007) · Journal of Veterinary Emergency and Critical Care · doi:10.1111/j.1476-4431.2007.00236.x · Cited by 27 · see citing works
Megahed, A., Hiew, M. W. H., Townsend, J. R., Messick, J. B., & Constable, P. D. (2015) · Journal of Veterinary Internal Medicine · doi:10.1111/jvim.13608 · Cited by 27 · see citing works
Hypoglycemia in neonatal calves associated with acute diarrhea.
Tennant, B., Harrold, D. R., & Reina-Guerra, M. (1968) · PubMed · Cited by 26 · see citing works
On the Distribution of Sugar between Plasma and Corpuscles in Animal and Human Blood1
Andreen‐Svedberg, A. (1933) · Skandinavisches Archiv Für Physiologie · doi:10.1111/j.1748-1716.1933.tb01030.x · Cited by 24 · see citing works
Lopes, R. B., Valldecabres, A., & Silva-del-Río, N. (2019) · Journal of Dairy Science · doi:10.3168/jds.2018-15688 · Cited by 14 · see citing works
Zakian, A., Tehrani-Sharif, M., Mokhber‐Dezfouli, M. R., Nouri, M., & Constable, P. (2017) · Australian Veterinary Journal · doi:10.1111/avj.12568 · Cited by 11 · see citing works
TSUKANO, K., Sarashina, S., & Suzuki, K. (2018) · Journal of Veterinary Medical Science · doi:10.1292/jvms.18-0109 · Cited by 10 · see citing works
Detecting and describing heterogeneity in meta-analysis
Hardy, R. J., & Thompson, S. G. (1998) · Statistics in Medicine · doi:10.1002/(sici)1097-0258(19980430)17:8
Flagged first, then by citations
Cited by
Sorted by citations
Review of present method of glucose from human blood and body fluids assessment
Fiedorova, K., Augustýnek, M., Kubíček, J., Kudrna, P., & Bibbo, D. (2022) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2022.114348 · Cited by 93 · see citing works
Renaud, D. L., Hare, K. S., Wood, K. M., Steele, M. A., & Cantor, M. C. (2022) · JDS Communications · doi:10.3168/jdsc.2021-0190 · Cited by 10 · see citing works
Evaluation of a continuous glucose monitoring system in healthy dairy calves and adult goats
Brobst, M. N., Abi-Nader, B. A., Blasczynski, S. J., & Chigerwe, M. (2024) · American Journal of Veterinary Research · doi:10.2460/ajvr.24.03.0076 · Cited by 6 · see citing works
López, C., Hincapié, V., & Carmona, J. U. (2023) · Animals · doi:10.3390/ani13223536 · Cited by 4 · see citing works
Accuracy and validation of a point-of-care blood glucose monitoring system for use in horses
Velineni, S., Schiltz, P., Chang, K.-H., Peng, Y.-M., & Cowles, B. (2024) · Frontiers in Veterinary Science · doi:10.3389/fvets.2024.1436714 · Cited by 3 · see citing works
Lorenz, I., & Trefz, F. M. (2024) · Springer eBooks · doi:10.1007/978-3-031-51788-4_10 · Cited by 3 · see citing works
Lausch, C. K., Lorch, A., Giertzuch, S., Rieger, A., & Trefz, F. M. (2021) · JDS Communications · doi:10.3168/jdsc.2021-0133 · Cited by 3 · see citing works
Cockram, M. S., Stryhn, H., Abdallah, A., & Buczinski, S. (2024) · Journal of Dairy Science · doi:10.3168/jds.2024-24769 · Cited by 2 · see citing works
Belbis, G. (2022) · Le Nouveau Praticien Vétérinaire élevages & santé · doi:10.1051/npvelsa/2023002
Cetose clínica em vacas leiteiras: Relato de casos
Futia, Y. D. A., Zache, E., & Ribeiro, A. C. S. (2023) · Revista de Ciências Agroveterinárias · doi:10.5965/223811712242023713
Störungen des Säure-Basen- und Kaliumhaushalts bei Kälbern mit Neugeborenendurchfall
Trefz, F. M., Lorch, A., & Lorenz, I. (2026) · Tierärztliche Praxis Ausgabe G Großtiere / Nutztiere · doi:10.1055/a-2923-2662
- Authors
- Karapinar, T., Tumer, K. C., & Buczinski, S.
- Affiliations
- Faculty of Veterinary Medicine, Firat University Department of Internal Medicine, , Elazig,
- Université de Montréal (CA)
- Venue
- Journal of Veterinary Internal Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-07-01
- Volume
- 34
- Issue
- 4
- Pages
- 1650-1656
- ISSN
- 0891-6640 (ISSN-L)
- 1939-1676
- PMC
- PMC7379022
- OpenAlex
- W3026810513
- Cited by
- 11
- References
- 30
- Citations by year
- 2026: 1 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 1
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Veterinary Internal Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DSpace - FIRAT (Fırat University) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Veterinary › Small Animals › Animal health and immunology
- Health Sciences › Veterinary › Small Animals › Veterinary Medicine and Surgery
- Keywords
- point-of-care glucometers, blood glucose measurement, calves, hypoglycemia diagnosis, assay bias, diagnostic accuracy, venous blood glucose, plasma glucose
- MeSH terms
- Animals, Animals, Newborn, Blood Chemical Analysis, Blood Glucose, Cattle, Cattle Diseases, Hypoglycemia, Prospective Studies, Sensitivity and Specificity, Point-of-Care Systems
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
