Using Radar Plots to Demonstrate the Accuracy and Precision of 6 Blood Glucose Monitoring Systems

Pardo, Scott; Dunne, Nancy; Simmons, David A.

doi:10.1177/1932296817713026

Cited by 13 publications

(14 citation statements)

References 10 publications

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“…Additional limitations include the use of a modified OGTT to calculate surrogate measures of insulin sensitivity (i. e., insulin AUC) and the use of a handheld glucometer to determine glucose concentration. We consider the latter, a fairly minor limitation given our use of validated controls and evidence that the glucometer utilized in this study shows validity across a wide range of glucose concentrations when compared to bench-top glucometers (i. e. YSI analyzer) [17,25] and enzymatic methods [3]. Research is warranted to determine whether PA-induced changes in insulin sensitivity are influenced by age, overweight/obesity, training status, or chronic disease.…”

Section: Discussionmentioning

confidence: 99%

“…Whole blood glucose was analyzed using the Contour Next blood glucose monitoring system (Ascensia Diabetes Care, Parsippany, NJ). This monitoring system reports glucose measurements as plasma equivalents and has been validated against other techniques (glucose oxidase and hexokinase methods) and analyzers (Yellow Springs Instruments, Inc., Yellow Springs, OH) to determine glucose concentration [3,17,25]. In our laboratory, the accuracy and reliability of this monitoring system was assessed using two approved control solutions (Ascensia Diabetes Care; coefficient of variation = 1.9 % and 1.3 % for control solution 1 and 2, respectively).…”

Section: Blood Analysesmentioning

confidence: 99%

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Altering Physical Activity Influences Insulin Responses to Glucose Ingestion in Healthy Adults

et al. 2018

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This study determined if varying physical activity (PA) the day prior to an oral glucose tolerance test (OGTT) differentially influenced postprandial glucose and insulin kinetics. Fifteen healthy, young adults participated in three OGTT trials the morning after performing 50% (LOW), 100% (HABITUAL), or 150% (HIGH) of their habitual PA (determined by 7-day pedometry). Trials were randomized and separated by at least 1-wk. For each OGTT trial, blood glucose and insulin were measured after an overnight fast and at 30-min intervals for 2 h following ingestion of the glucose beverage. Between-trial differences were analyzed using a general linear model with repeated measures. Subjects successfully achieved the desired percentage of habitual steps prior to each trial: LOW: 51±5%, HABITUAL: 99±6%, and HIGH: 149±9%. Fasting blood glucose and glucose total area under the curve (AUC) did not differ between trials. Serum insulin AUC was lower (p<0.05) following the HIGH (34,158±8,786 pmol·min·L−1) compared to the LOW (40,738±9,276 pmol·min·L−1) trial. No differences were observed when the LOW and HIGH trials were compared to HABITUAL. These data suggest that varying the PA level (from 50 to 150% of habitual PA) the day prior to an OGTT influences the insulin (but not blood glucose) response to an OGTT.

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Section: Discussionmentioning

confidence: 99%

Section: Blood Analysesmentioning

confidence: 99%

Altering Physical Activity Influences Insulin Responses to Glucose Ingestion in Healthy Adults

et al. 2018

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“…Data are also presented in radar plots [ 21 , 22 ], an alternative approach to visualize the measurement accuracy of an SMBG system, and in surveillance error grids (SEG) [ 23 ], which is an alternative approach to assess the clinical risk associated with SMBG systems’ accuracy.…”

Section: Discussionmentioning

confidence: 99%

User Performance Evaluation of Four Blood Glucose Monitoring Systems Applying ISO 15197:2013 Accuracy Criteria and Calculation of Insulin Dosing Errors

et al. 2018

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IntroductionThe international standard ISO 15197:2013 requires a user performance evaluation to assess if intended users are able to obtain accurate blood glucose measurement results with a self-monitoring of blood glucose (SMBG) system. In this study, user performance was evaluated for four SMBG systems on the basis of ISO 15197:2013, and possibly related insulin dosing errors were calculated. Additionally, accuracy was assessed in the hands of study personnel.MethodsAccu-Chek® Performa Connect (A), Contour® plus ONE (B), FreeStyle Optium Neo (C), and OneTouch Select® Plus (D) were evaluated with one test strip lot. After familiarization with the systems, subjects collected a capillary blood sample and performed an SMBG measurement. Study personnel observed the subjects’ measurement technique. Then, study personnel performed SMBG measurements and comparison measurements. Number and percentage of SMBG measurements within ± 15 mg/dl and ± 15% of the comparison measurements at glucose concentrations < 100 and ≥ 100 mg/dl, respectively, were calculated. In addition, insulin dosing errors were modelled.ResultsIn the hands of lay-users three systems fulfilled ISO 15197:2013 accuracy criteria with the investigated test strip lot showing 96% (A), 100% (B), and 98% (C) of results within the defined limits. All systems fulfilled minimum accuracy criteria in the hands of study personnel [99% (A), 100% (B), 99.5% (C), 96% (D)]. Measurements with all four systems were within zones of the consensus error grid and surveillance error grid associated with no or minimal risk. Regarding calculated insulin dosing errors, all 99% ranges were between dosing errors of − 2.7 and + 1.4 units for measurements in the hands of lay-users and between − 2.5 and + 1.4 units for study personnel. Frequent lay-user errors were not checking the test strips’ expiry date and applying blood incorrectly.ConclusionsData obtained in this study show that not all available SMBG systems complied with ISO 15197:2013 accuracy criteria when measurements were performed by lay-users.Trial RegistrationThe study was registered at ClinicalTrials.gov (NCT02916576).FundingAscensia Diabetes Care Deutschland GmbH.Electronic supplementary materialThe online version of this article (10.1007/s13300-018-0392-6) contains supplementary material, which is available to authorized users.

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“…BGM readings were compared to corresponding reference values immediately before and after each measurement. Radar plots, a new method described in recent studies, 24,25 were used to visualize analytical performance. Differences between BGMs and reference instrument measurements were plotted using polar.…”

Section: Methodsmentioning

confidence: 99%

Accuracy Evaluation of 19 Blood Glucose Monitoring Systems Manufactured in the Asia-Pacific Region: A Multicenter Study

Wang

Jia

et al. 2017

J Diabetes Sci Technol

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Using Radar Plots to Demonstrate the Accuracy and Precision of 6 Blood Glucose Monitoring Systems

Abstract: Radar Plots provide a different method for visually comparing the analytical performance of multiple BGMSs. The tight clustering of data points at the center of the CN Radar Plot illustrates the analytical performance of CN compared with 5 other BGMSs.

Cited by 13 publications

References 10 publications

Altering Physical Activity Influences Insulin Responses to Glucose Ingestion in Healthy Adults

Altering Physical Activity Influences Insulin Responses to Glucose Ingestion in Healthy Adults

User Performance Evaluation of Four Blood Glucose Monitoring Systems Applying ISO 15197:2013 Accuracy Criteria and Calculation of Insulin Dosing Errors

Accuracy Evaluation of 19 Blood Glucose Monitoring Systems Manufactured in the Asia-Pacific Region: A Multicenter Study

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