[en] Glucose measurement is a critical investigation in metabolic disease management, especially in diabetes and inherited disorders. However, both laboratory-based and handheld point-of-care (HPOC) (glucometers) glucose testing face significant preanalytical and analytical challenges. In central laboratories, glycolysis in uncentrifuged samples leads to glucose consumption, which may compromise diagnostic accuracy. Although sodium fluoride (NaF) is commonly used as a glycolysis inhibitor, it has a delayed effect, requiring several hours to stabilize glucose concentrations. Recently, citrate-buffered NaF-EDTA (FCE) tubes have been introduced to inhibit glycolysis more effectively, yet they remain underused. Preanalytical variables, including sample collection, transport, and processing delays, further impact glucose stability and the diagnosis of diabetes, including gestational diabetes mellitus (GDM). HPOC devices provide an alternative by delivering rapid results and minimizing preanalytical errors, but glucose meters are prone to physiological and analytical interferences, such as hematocrit variations, environmental conditions, presence of redox-active drugs, and enzymatic specificity issues. These interferences may lead to inaccurate glucose readings, impairing clinical decision-making, especially in intensive care and emergency settings. Moreover, discrepancies between capillary and venous glucose concentrations can contribute to misdiagnosis and inappropriate glycemic management. This review provides a comprehensive analysis of glucose measurement methodologies, their limitations, and potential improvements, emphasizing the need for preanalytical harmonization in laboratory testing and a better understanding of interferences in HPOC testing. Standardization of blood sample handling and adoption of optimized collection tubes could enhance glucose measurement reliability, ultimately improving diabetes diagnosis and patient outcomes.
Disciplines :
Laboratory medicine & medical technology
Author, co-author :
Grzych, Guillaume ; Université de Liège - ULiège > Département de pharmacie > Chimie médicale ; Service de Biochimie Automatisée, Protéines, CHU Lille, France
Cryer PE, Axelrod L, Grossman AB, et al.Evaluation and management of adult hypoglycemic disorders: an Endocrine Society Clinical Practice Guideline. J Clin Endocrinol Metab. 2009;94(3):709–728. doi: 10.1210/jc.2008-1410.
Douillard C, Mention K, Dobbelaere D, et al.Hypoglycaemia related to inherited metabolic diseases in adults. Orphanet J Rare Dis. 2012;7(1):26. doi: 10.1186/1750-1172-7-26.
Aarsand AK, Díaz-Garzón J, Fernandez-Calle P, et al.The EuBIVAS: within- and between-subject biological variation data for electrolytes, lipids, urea, uric acid, total protein, total bilirubin, direct bilirubin, and glucose. Clin Chem. 2018;64(9):1380–1393. doi: 10.1373/clinchem.2018.288415.
Andreis E, Küllmer K, Appel M., Application of the reference method isotope dilution gas chromatography mass spectrometry (ID/GC/MS) to establish metrological traceability for calibration and control of blood glucose test systems. J Diabetes Sci Technol. 2014;8(3):508–515. doi: 10.1177/1932296814523886.
Yoo E-H, Lee S-Y., Glucose biosensors: an overview of use in clinical practice. Sensors (Basel). 2010;10(5):4558–4576. doi: 10.3390/s100504558.
Huang Z, Zheng L, Feng F, et al.A simple and effective colorimetric assay for glucose based on MnO2 nanosheets. Sensors. 2018;18(8):2525. doi: 10.3390/s18082525.
Roth-Kleiner M, Stadelmann Diaw C, Urfer J, et al.Evaluation of different POCT devices for glucose measurement in a clinical neonatal setting. Eur J Pediatr. 2010;169(11):1387–1395. doi: 10.1007/s00431-010-1243-2.
Bowman CF, Nichols JH. Comparison of accuracy guidelines for hospital glucose meters. J Diabetes Sci Technol. 2020;14(3):546–552. doi: 10.1177/1932296819898277.
Montagnana M, Caputo M, Giavarina D, et al.Overview on self-monitoring of blood glucose. Clin Chim Acta. 2009;402(1-2):7–13. doi: 10.1016/j.cca.2009.01.002.
Amaral S, Palha A, Bernardino V, et al.Case report: artifactual hypoglycemia: a condition that should not be forgotten. Front Endocrinol (Lausanne). 2022;13:951377. doi: 10.3389/fendo.2022.951377.
Drenthen LCA, Verheggen RJHM, de Galan BE., Clinical impact of artifactual hypoglycaemia and its diagnosis at the bedside. Rheumatology (Oxford). 2019;58(9):1691–1692. doi: 10.1093/rheumatology/kez118.
Li G, Cabanero M, Wang Z, et al.Comparison of glucose determinations on blood samples collected in three types of tubes. Ann Clin Lab Sci. 2013;43(3):278–284.
Fournier JE, Northrup V, Clark C, et al.Evaluation of BD Vacutainer® BarricorTM blood collection tubes for routine chemistry testing on a Roche Cobas® 8000 platform. Clin Biochem. 2018;58:94–99. doi: 10.1016/j.clinbiochem.2018.06.002.
Lippi G, Salvagno GL, Lampus S, et al.Impact of blood cell counts and volumes on glucose concentration in uncentrifuged serum and lithium-heparin blood tubes. Clin Chem Lab Med. 2018;56(12):2125–2131. doi: 10.1515/cclm-2018-0523.
Nourrisson C, Batisse M, Sapin V, et al.Pseudo-hypoglycémie et hyperleucocytose: à propos d’un cas. Ann Biol Clin (Paris). 2010;68(4):490–494. doi: 10.1684/abc.2010.0455.
Grzych G, Roland E, Beauvais D, et al.Leukocytosis interference in clinical chemistry: shall we still interpret test results without hematological data?J Med Biochem. 2019;38:6. doi: 10.2478/jomb-2019-0005.
Lippi G, Nybo M, Cadamuro J, et al.Chapter four - Blood glucose determination: effect of tube additives. In: Advances in clinical chemistry. Vol. 84. Elsevier; 2018. p. 101–123. doi: 10.1016/bs.acc.2017.12.003.
Fischer MM, Hannemann A, Winter T, et al.Relative efficacy of different strategies for inhibition of in vitro glycolysis. Clin Chem. 2021;67(7):1032–1034. doi: 10.1093/clinchem/hvab071.
Balboni F, Burbui S, Lippi G., Glucose variation in centrifuged serum and lithium-heparin gel tubes stored for up to 96 hours at room temperature or 4 °C. Scand J Clin Lab Invest. 2018;78(7-8):546–550. doi: 10.1080/00365513.2018.1517221.
Grzych G, Pekar J-D, Maboudou P., Better glucose stability in serum than in plasma samples after 12-h stay at room temperature. Diabetes Technol Ther. 2019;21(7):413–414. doi: 10.1089/dia.2019.0061.
American Diabetes Association Professional Practice Committee. 2. Diagnosis and classification of diabetes: standards of care in diabetes—2024. Diabetes Care. 2024;47(Suppl 1):S20–S42. doi: 10.2337/dc24-S002.
Nevraumont A, Deltombe M, Bayart J-L., How pre-analytical conditions impact glucose measurement and (gestational) diabetes diagnosis: a real-world stability study and a call for harmonization. Clin Chim Acta. 2024;562:119875. doi: 10.1016/j.cca.2024.119875.
Montagnana M, Lippi G., Overcoming preanalytical issues for diagnosing diabetes with fasting plasma glucose. Ann Transl Med. 2017;5(12):257–257. doi: 10.21037/atm.2017.05.19.
Stapleton M, Daly N, O’Kelly R, et al.Time and temperature affect glycolysis in blood samples regardless of fluoride-based preservatives: a potential underestimation of diabetes. Ann Clin Biochem. 2017;54(6):671–676. doi: 10.1177/0004563216682978.
Saracevic A, Dukic L, Juricic G, et al.Various glycolysis inhibitor-containing tubes for glucose measurement cannot be used interchangeably due to clinically unacceptable biases between them. Clin Chem Lab Med. 2018;56(2):236–241. doi: 10.1515/cclm-2017-0279.
Juricic G, Saracevic A, Kopcinovic LM, et al.The evidence for clinically significant bias in plasma glucose between liquid and lyophilized citrate buffer additive. Clin Biochem. 2016;49(18):1402–1405. doi: 10.1016/j.clinbiochem.2016.03.006.
Daly N, Flynn I, Carroll C, et al.Comparison of citrate-fluoride-EDTA with fluoride-EDTA additives to stabilize plasma glucose measurements in women being screened during pregnancy with an oral glucose tolerance test: a prospective observational study. Clin Chem. 2016;62(6):886–887. doi: 10.1373/clinchem.2016.254466.
Carey R, Lunt H, Heenan HF, et al.Collection tubes containing citrate stabiliser over-estimate plasma glucose, when compared to other samples undergoing immediate plasma separation. Clin Biochem. 2016;49(18):1406–1411. doi: 10.1016/j.clinbiochem.2016.05.017.
Van Der Hagen EAE, Fokkert MJ, Kleefman AMD, et al.Technical and clinical validation of the Greiner FC-mix glycaemia tube. Clin Chem Lab Med. 2017;55(10):1530–1536. doi: 10.1515/cclm-2016-0944.
Fokkert M., Glucose (monitoring): from bench to real world experiences. Groningen: University of Groningen. 2022. doi: 10.33612/diss.207217778.
Islam MN, Lyons C, Griffin TP, et al.Maintaining glucose integrity ex-vivo: impact of preanalytical specimen handling. Ann Clin Biochem. 2024;61(2):133–142. doi: 10.1177/00045632231199374.
Bakkebø H, Haaland KL, Hoff KS, et al.Five days serum glucose stability at room-temperature in centrifuged fast-clotting serum tubes and the comparability with glucose in heparin-plasma and plasma containing citrate-stabilizer. Scand J Clin Lab Invest. 2024;84(1):62–67. doi: 10.1080/00365513.2024.2318617.
Lippi G, Luca Salvagno G, Montagnana M, et al.Influence of hemolysis on routine clinical chemistry testing. Clin Chem Lab Med. 2006;44(3):311–316. doi: 10.1515/CCLM.2006.054.
Cano-Corres R, Sole-Enrech G, Aparicio-Calvente MI., Definition of icteric interference index for six biochemical analytes. Biochem Med (Zagreb). 2023;33(2):020702. doi: 10.11613/BM.2023.020702.
ArulVijayaVani S, Mohanraj PS, Reeta R., Evaluating interference of lipemia on routine clinical biochemical tests. J Lab Physicians. 2023;15(2):269–275. doi: 10.1055/s-0042-1758664.
Grant B, Ratnayake G, Williams CL, et al.Resolution of dysglycaemia after treatment of monoclonal gammopathy of endocrine significance. Eur J Endocrinol. 2023;189(6):K25–K29. doi: 10.1093/ejendo/lvad138.
Arnqvist HJ, Halban PA, Mathiesen UL, et al.Hypoglycaemia caused by atypical insulin antibodies in a patient with benign monoclonal gammopathy. J Intern Med. 1993;234(4):421–427. doi: 10.1111/j.1365-2796.1993.tb00766.x.
Wenk RE, Yoho S, Bengzon A., Pseudohypoglycemia with monoclonal immunoglobulin M. Arch Pathol Lab Med. 2005;129(4):454–455. doi: 10.1043/1543-2165(2005)129<454b:PWMIM>2.0.CO;2.
Martinello F, da Silva EL., Ascorbic acid interference in the measurement of serum biochemical parameters: in vivo and in vitro studies. Clin Biochem. 2006;39(4):396–403. doi: 10.1016/j.clinbiochem.2005.11.011.
Martinello F, Luiz da Silva E., Mechanism of ascorbic acid interference in biochemical tests that use peroxide and peroxidase to generate chromophore. Clin Chim Acta. 2006;373(1-2):108–116. doi: 10.1016/j.cca.2006.05.012.
Bruns DE, Metzger BE, Sacks DB., Diagnosis of gestational diabetes mellitus will be flawed until we can measure glucose. Clin Chem. 2020;66(2):265–267. doi: 10.1093/clinchem/hvz027.
Goyal A, Gupta Y, Singla R, et al.American Diabetes Association “standards of medical care—2020 for gestational diabetes mellitus”: a critical appraisal. Diabetes Ther. 2020;11(8):1639–1644. doi: 10.1007/s13300-020-00865-3.
NICE, Guideline. Diabetes in pregnancy: management from preconception to the postnatal period. Diabetes Pregnancy.
Haeckel R, Wosniok W, Streichert T,; on behalf of the working group Richtwerte (guide limits) of the German Society of Clinical Chemistry and Laboratory Medicine (DGKL), Chairman T. S. The difference between reference interval and reference range. J Lab Med. 2020;44(3):173–173. doi: 10.1515/labmed-2019-0192.
Bonetti G, Giavarina D, Carta M., Clinical impact of citrate-containing tubes on the detection of glucose abnormalities by the oral glucose tolerance test. Diagnosis (Berl). 2019;6(4):377–383. doi: 10.1515/dx-2018-0100.
Orth M, Hawran H, Ulloor J, et al.Effects of different tube types on patient classification using current diabetes decision limits. Pract Lab Med. 2019;17:e00134. doi: 10.1016/j.plabm.2019.e00134.
Cadamuro J, Bergsten P, Mörwald K, et al.Deviating glucose results in an international dual-center study. A root cause investigation. Biochem Med (Zagreb). 2022;32(1):011001. doi: 10.11613/BM.2022.011001.
Dickson LM, Buchmann EJ, Janse Van Rensburg C, et al.The impact of differences in plasma glucose between glucose oxidase and hexokinase methods on estimated gestational diabetes mellitus prevalence. Sci Rep. 2019;9(1):7238. doi: 10.1038/s41598-019-43665-x.
Keutmann S, Zylla S, Dahl M, et al.Measurement uncertainty impacts diagnosis of diabetes mellitus: reliable minimal difference of plasma glucose results. Diabetes Ther. 2020;11(1):293–303. doi: 10.1007/s13300-019-00740-w.
Jamieson EL, Dimeski G, Flatman R, et al.Oral glucose tolerance test to diagnose gestational diabetes mellitus: impact of variations in specimen handling. Clin Biochem. 2023;115:33–48. doi: 10.1016/j.clinbiochem.2022.10.002.
Tonyushkina K, Nichols JH., Glucose meters: a review of technical challenges to obtaining accurate results. J Diabetes Sci Technol. 2009;3(4):971–980. doi: 10.1177/193229680900300446.
Kahn SA, Lentz CW., Fictitious hyperglycemia: point-of-care glucose measurement is inaccurate during high-dose vitamin c infusion for burn shock resuscitation. J Burn Care Res. 2015;36(2):e67–e71. doi: 10.1097/BCR.0000000000000141.
Tang Z, Louie RF, Lee JH, et al.Oxygen effects on glucose meter measurements with glucose dehydrogenase- and oxidase-based test strips for point-of-care testing. Crit Care Med. 2001;29(5):1062–1070. doi: 10.1097/00003246-200105000-00038.
Cho SJ, Cho C-H, Kim KB, et al.Interference reduction in glucose detection by redox potential tuning: new glucose meter development. Anal Sci. 2015;31(7):705–710. doi: 10.2116/analsci.31.705.
Deng H, Teo AKL, Gao Z., An interference-free glucose biosensor based on a novel low potential redox polymer mediator. Sens Actuators B Chem. 2014;191:522–528. doi: 10.1016/j.snb.2013.10.059.
Rao LV, Jakubiak F, Sidwell JS, et al.Accuracy evaluation of a new glucometer with automated hematocrit measurement and correction. Clin Chim Acta. 2005;356(1-2):178–183. doi: 10.1016/j.cccn.2005.01.027.
Jendrike N, Baumstark A, Kamecke U, et al.ISO 15197: 2013 Evaluation of a blood glucose monitoring system’s measurement accuracy. J Diabetes Sci Technol. 2017;11(6):1275–1276. doi: 10.1177/1932296817727550.
Dimeski G, Jones BW, Tilley V, et al.Glucose meters: evaluation of the new formulation measuring strips from Roche (Accu-Chek) and Abbott (MediSense). Ann Clin Biochem. 2010;47(Pt 4):358–365. doi: 10.1258/acb.2010.009291.
Rebel A, Rice MA, Fahy BG., The accuracy of point-of-care glucose measurements. J Diabetes Sci Technol. 2012;6(2):396–411. doi: 10.1177/193229681200600228.
Association American Diabetes. Tests of glycemia in diabetes. Diabetes Care. 2003;26(suppl 1):s106–s108. doi: 10.2337/diacare.26.2007.S106.
King F, Ahn D, Hsiao V, et al.A review of blood glucose monitor accuracy. Diabetes Technol Ther. 2018;20(12):843–856. doi: 10.1089/dia.2018.0232.
Tang Z, Du X, Louie RF, et al.Effects of pH on glucose measurements with handheld glucose meters and a portable glucose analyzer for point-of-care testing. Arch Pathol Lab Med. 2000;124:577–582.
Bietenbeck A, Geilenkeuser WJ, Klawonn F, et al.External quality assessment schemes for glucose measurements in germany: factors for successful participation, analytical performance and medical impact. Clin Chem Lab Med. 2018;56(8):1238–1250. doi: 10.1515/cclm-2017-1142.
Berghe GVd, Wouters P, Weekers F, et al.Intensive insulin therapy in critically ill patients. N Engl J Med. 2001;345(19):1359–1367. doi: 10.1056/NEJMoa011300.
Finfer S, Chittock DR, Su SY-S, et al.; NICE-SUGAR Study Investigators. Intensive versus conventional glucose control in critically ill patients. N Engl J Med. 2009;360(13):1283–1297. doi: 10.1056/NEJMoa0810625.
Cembrowski GS, Tran DV, Slater-MacLean L, et al.Could susceptibility to low hematocrit interference have compromised the results of the NICE-SUGAR trial?Clin Chem. 2010;56(7):1193–1195. doi: 10.1373/clinchem.2010.146217.
Van den Berghe G, Vanhorebeek I, Langouche L, et al.Our scientific journey through the ups and downs of blood glucose control in the ICU. Am J Respir Crit Care Med. 2024;209(5):497–506. doi: 10.1164/rccm.202309-1696SO.
Pérez-Ayala M, Oliver P, Cantalejo FR., Prevalence of bacterial contamination of glucose test strips in individual single-use packets versus multi-use vials. J Diabetes Sci Technol. 2013;7(4):854–862. doi: 10.1177/193229681300700407.
Estock JL, Pham I-T, Curinga HK, et al.Reducing treatment errors through point-of-care glucometer configuration. Jt Comm J Qual Patient Saf. 2018;44(11):683–694. doi: 10.1016/j.jcjq.2018.03.014.
Teodorczyk M, Cardosi M, Setford S., Hematocrit compensation in electrochemical blood glucose monitoring systems. J Diabetes Sci Technol. 2012;6(3):648–655. doi: 10.1177/193229681200600320.
Lv H, Zhang G, Kang X, et al.Factors interfering with the accuracy of five blood glucose meters used in chinese hospitals: factors interfering with the accuracy of five blood glucose meters used. J Clin Lab Anal. 2013;27(5):354–366. doi: 10.1002/jcla.21611.
Bilen H, Kilicaslan A, Akcay G, et al.Performance of glucose dehydrogenase (GDH) based and glucose oxidase (GOX) based blood glucose meter systems at moderately high altitude. J Med Eng Technol. 2007;31(2):152–156. doi: 10.1080/03091900600861590.
Berger MM, Que YA., Traitement nutritionnel du grand brûlé. Réanimation. 2009;18(8):694–701. doi: 10.1016/j.reaurg.2009.09.001.
Sartor Z, Kesey J, Dissanaike S., The effects of intravenous vitamin c on point-of-care glucose monitoring. J Burn Care Res. 2015;36(1):50–56. doi: 10.1097/BCR.0000000000000142.
Tang Z, Du X, Louie RF, et al.Effects of drugs on glucose measurements with handheld glucose meters and a portable glucose analyzer. Am J Clin Pathol. 2000;113(1):75–86. doi: 10.1309/QAW1-X5XW-BVRQ-5LKQ.
Marik PE, Khangoora V, Rivera R, et al.Hydrocortisone, vitamin C, and thiamine for the treatment of severe sepsis and septic shock. Chest. 2017;151(6):1229–1238. doi: 10.1016/j.chest.2016.11.036.
Grzych G, Pekar J-D, Chevalier-Curt MJ, et al.Antioxidants other than vitamin C may be detected by glucose meters: immediate relevance for patients with disorders targeted by antioxidant therapies. Clin Biochem. 2021;92:71–76. doi: 10.1016/j.clinbiochem.2021.03.007.
Grzych G, Kim I., Automated insulin delivery during pregnancy complicated by type 1 diabetes. N Engl J Med. 2024;390(2):183–184. doi: 10.1056/NEJMc2313410.
Lenters-Westra E, Fokkert M, Kilpatrick ES, et al.Managing discordance between HbA1c and glucose management indicator. Diabet Med. 2025;42(6):e70023. doi: 10.1111/dme.70023.
Schleis TG., Interference of maltose, icodextrin, galactose, or xylose with some blood glucose monitoring systems. Pharmacotherapy. 2007;27(9):1313–1321. doi: 10.1592/phco.27.9.1313.
Lyon ME, DuBois JA, Fick GH, et al.Estimates of total analytical error in consumer and hospital glucose meters contributed by hematocrit, maltose, and ascorbate. J Diabetes Sci Technol. 2010;4(6):1479–1494. doi: 10.1177/193229681000400624.
Clarke WL, Cox D, Gonder-Frederick LA, et al.Evaluating clinical accuracy of systems for self-monitoring of blood glucose. Diabetes Care. 1987;10(5):622–628. doi: 10.2337/diacare.10.5.622.
Parkes JL, Slatin SL, Pardo S, et al.A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose. Diabetes Care. 2000;23(8):1143–1148. doi: 10.2337/diacare.23.8.1143.
Florkowski C, Budgen C, Kendall D, et al.Comparison of blood glucose meters in a New Zealand diabetes centre. Ann Clin Biochem. 2009;46(Pt 4):302–305. doi: 10.1258/acb.2009.008193.
Halldorsdottir S, Warchal-Windham ME, Wallace JF, et al.Accuracy evaluation of five blood glucose monitoring systems: the North American comparator trial. J Diabetes Sci Technol. 2013;7(5):1294–1304. doi: 10.1177/193229681300700520.
Xu NY, Nguyen KT, Mehta C, et al.Antioxidant-induced pseudohyperglycemia due to interference of measurements by blood glucose monitors. J Diabetes Sci Technol. 2021;15(6):1404–1405. doi: 10.1177/19322968211041328.
Berge D, ten Muller W, Beishuizen A, et al.Significant interference on specific point-of-care glucose measurements due to high dose of intravenous vitamin c therapy in critically ill patients. Clin Chem Lab Med. 2021;59(5):e197–e199. doi: 10.1515/cclm-2020-1445.
Ramljak S, Lock JP, Schipper C, et al.Hematocrit interference of blood glucose meters for patient self-measurement. J Diabetes Sci Technol. 2013;7(1):179–189. doi: 10.1177/193229681300700123.
Lockyer MG, Fu K, Edwards RM, et al.Evaluation of the Nova StatStrip glucometer in a pediatric hospital setting. Clin Biochem. 2014;47(9):840–843. doi: 10.1016/j.clinbiochem.2014.01.004.
Atac O, Heier KR, Moga D, et al.Demographic variation in continuous glucose monitoring utilisation among patients with type 1 diabetes from a US regional academic medical centre: a retrospective cohort study, 2018–2021. BMJ Open. 2025;15(3):e088785. doi: 10.1136/bmjopen-2024-088785.
Galindo RJ, Moazzami B, Gerges A, et al.Continuous glucose monitoring improves detection of glycemic excursions in hemodialysis patients with type 2 diabetes. J Clin Endocrinol Metab. 2025;26(11):dgaf187. doi: 10.1210/clinem/dgaf187.
Battelino T, Lalic N, Hussain S, et al.The use of continuous glucose monitoring in people living with obesity, intermediate hyperglycemia or type 2 diabetes. Diabetes Res Clin Pract. 2025;223:112111. doi: 10.1016/j.diabres.2025.112111.
Battelino T, Danne T, Bergenstal RM, et al.Clinical targets for continuous glucose monitoring data interpretation: recommendations from the international consensus on time in range. Diabetes Care. 2019;42(8):1593–1603. doi: 10.2337/dci19-0028.
Heinemann L, Freckmann G., CGM versus FGM; or, continuous glucose monitoring is not flash glucose monitoring. J Diabetes Sci Technol. 2015;9(5):947–950. doi: 10.1177/1932296815603528.
Welsh JB, Gao P, Derdzinski M, et al.Accuracy, utilization, and effectiveness comparisons of different continuous glucose monitoring systems. Diabetes Technol Ther. 2019;21(3):128–132. doi: 10.1089/dia.2018.0374.
Sun M-T, Li I-C, Lin W-S, et al.Pros and cons of continuous glucose monitoring in the intensive care unit. World J Clin Cases. 2021;9(29):8666–8670. doi: 10.12998/wjcc.v9.i29.8666.
Patham B, Kansara A, Sadhu AR., Real-time continuous glucose monitoring in the intensive care unit: the fifth vital sign. Diabetes Care. 2024;47(6):924–926. doi: 10.2337/dci24-0020.
Guerrero-Arroyo L, Faulds E, Perez-Guzman MC, et al.Continuous glucose monitoring in the intensive care unit. J Diabetes Sci Technol. 2023;17(3):667–678. doi: 10.1177/19322968231169522.
Yu X, Yang Z, Sun X, et al.Deep reinforcement learning for automated insulin delivery systems: algorithms, applications, and prospects. AI. 2025;6(5):87. doi: 10.3390/ai6050087.
Alsultani AB, Kovács K, Chase JG, et al.Advances in invasive and non-invasive glucose monitoring: a review of microwave-based sensors. Sens Actuators Rep. 2025;9:100332. doi: 10.1016/j.snr.2025.100332.
Benesch DC., Error grid analysis. [cited 2025 Jun 19]. Available from https://blog.profil.com/blog/error-grid-analysis
Figure 3. Parks error grid plot. The x-axis represents blood glucose…. [cited 2025 Jun 19]. Available from https://www.researchgate.net/figure/Parks-Error-Grid-Plot-The-x-axis-represents-blood-glucose-concentrations-derived-from_fig2_356925783
Tang Z, Lee JH, Louie RF, et al.Effects of different hematocrit levels on glucose measurements with handheld meters for point-of-care testing. Arch Pathol Lab Med. 2000;124(8):1135–1140. doi: 10.5858/2000-124-1135-EODHLO.
Pidcoke HF, Wade CE, Mann EA, et al.Anemia causes hypoglycemia in intensive care unit patients due to error in single-channel glucometers: methods of reducing patient risk*. Crit Care Med. 2010;38(2):471–476. doi: 10.1097/CCM.0b013e3181bc826f.
Tran NK, Godwin ZR, Bockhold JC, et al.Clinical impact of sample interference on intensive insulin therapy in severely burned patients: a pilot study. J Burn Care Res. 2014;35(1):72–79. doi: 10.1097/BCR.0b013e31829b3700.
Jendrike N, Baumstark A, Pleus S, et al.Evaluation of four blood glucose monitoring systems for self-testing with built-in insulin dose advisor based on ISO 15197:2013: system accuracy and hematocrit influence. Diabetes Technol Ther. 2018;20(4):303–313. doi: 10.1089/dia.2017.0391.
Luna-Záizar H, Virgen-Montelongo M, Cortez-Álvarez CR, et al.In vitro interference by acetaminophen, aspirin, and metamizole in serum measurements of glucose, urea, and creatinine. Clin Biochem. 2015;48(7-8):538–541. doi: 10.1016/j.clinbiochem.2015.01.007.
