scholarly journals Clarke Error Grid Analysis on Graph Paper and Microsoft Excel

2019 ◽  
Vol 14 (2) ◽  
pp. 499-499 ◽  
Author(s):  
Himel Mondal ◽  
Shaikat Mondal
Keyword(s):  
Microsoft Excel ◽  
Grid Analysis ◽  
Graph Paper ◽  
Clarke Error Grid ◽  
Error Grid

scholarly journals Accuracy of Flash Glucose Monitoring During Postprandial Rest and Different Walking Conditions in Overweight or Obese Young Adults

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaoyuan Zhang ◽  
Fenghua Sun ◽  
Waris Wongpipit ◽  
Wendy Y. J. Huang ◽  
Stephen H. S. Wong
Keyword(s):  
Young Adults ◽  
Glucose Monitoring ◽  
Postprandial Glucose ◽  
Relative Difference ◽  
Flash Glucose Monitoring ◽  
Grid Analysis ◽  
Crossover Studies ◽  
Freestyle Libre ◽  
Clarke Error Grid ◽  
Error Grid

Aims: To investigate the accuracy of FreeStyle LibreTM flash glucose monitoring (FGM) relevant to plasma glucose (PG) measurements during postprandial rest and different walking conditions in overweight/obese young adults.Methods: Data of 40 overweight/obese participants from two randomized crossover studies were pooled into four trials: (1) sitting (SIT, n = 40); (2) walking continuously for 30 min initiated 20 min before individual postprandial glucose peak (PPGP) (20iP + CONT, n = 40); (3) walking continuously for 30 min initiated at PPGP (iP + CONT, n = 20); and (4) accumulated walking for 30 min initiated 20 min before PPGP (20iP + ACCU, n = 20). Paired FGM and PG were measured 4 h following breakfast.Results: The overall mean absolute relative difference (MARD) between PG and FGM readings was 16.4 ± 8.6% for SIT, 16.2 ± 4.7% for 20iP + CONT, 16.7 ± 12.2% for iP + CONT, and 19.1 ± 6.8% for 20iP + ACCU. The Bland–Altman analysis showed a bias of −1.03 mmol⋅L–1 in SIT, −0.89 mmol⋅L–1 in 20iP + CONT, −0.82 mmol⋅L–1 in iP + CONT, and −1.23 mmol⋅L–1 in 20iP + ACCU. The Clarke error grid analysis showed that 99.6–100% of the values in all trials fell within zones A and B.Conclusion: Although FGM readings underestimated PG, the FGM accuracy was overall clinically acceptable during postprandial rest and walking in overweight/obese young adults.

scholarly journals Blood glucose prediction using multi-objective grammatical evolution: analysis of the “agnostic” and “what-if” scenarios

2021 ◽  
Author(s):  
Sergio Contador ◽  
J. Manuel Colmenar ◽  
Oscar Garnica ◽  
J. Manuel Velasco ◽  
J. Ignacio Hidalgo
Keyword(s):  
Ad Hoc ◽  
Fitness Function ◽  
Grammatical Evolution ◽  
Diabetic Patients ◽  
Regression Problem ◽  
Multi Objective ◽  
Grid Analysis ◽  
Future Events ◽  
Clarke Error Grid ◽  
Error Grid

AbstractIn this paper we investigate the benefits of applying a multi-objective approach for solving a symbolic regression problem by means of Grammatical Evolution. In particular, we extend previous work, obtaining mathematical expressions to model glucose levels in the blood of diabetic patients. Here we use a multi-objective Grammatical Evolution approach based on the NSGA-II algorithm, considering the root-mean-square error and an ad-hoc fitness function as objectives. This ad-hoc function is based on the Clarke Error Grid analysis, which is useful for showing the potential danger of mispredictions in diabetic patients. In this work, we use two datasets to analyse two different scenarios: What-if and Agnostic, the most common in daily clinical practice. In the What-if scenario, where future events are evaluated, results show that the multi-objective approach improves previous results in terms of Clarke Error Grid analysis by reducing the number of dangerous mispredictions. In the Agnostic situation, with no available information about future events, results suggest that we can obtain good predictions with only information from the previous hour for both Grammatical Evolution and Multi-Objective Grammatical Evolution.

scholarly journals Continuous Glucose Monitoring in the Intensive Care Unit Following Total Pancreatectomy with Islet Autotransplantation in Children: Establishing Accuracy of the Dexcom G6 Model

2021 ◽  
Vol 10 (9) ◽  
pp. 1893
Author(s):  
Natalie Segev ◽  
Lindsey N. Hornung ◽  
Siobhan E. Tellez ◽  
Joshua D. Courter ◽  
Sarah A. Lawson ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Continuous Glucose Monitoring ◽  
Total Pancreatectomy ◽  
Glucose Monitoring ◽  
Absolute Difference ◽  
Grid Analysis ◽  
Clarke Error Grid ◽  
Islet Autotransplantation ◽  
Error Grid

Hyperglycemia is detrimental to postoperative islet cell survival in patients undergoing total pancreatectomy with islet autotransplantation (TPIAT). This makes continuous glucose monitoring (CGM) a useful management tool. We evaluated the accuracy of the Dexcom G6 CGM in pediatric intensive care unit patients following TPIAT. Twenty-five patients who underwent TPIAT had Dexcom G6 glucose values compared to paired serum glucose values. All paired glucose samples were obtained within 5 minutes of each other during the first seven days post TPIAT. Data were evaluated using mean absolute difference (MAD), mean absolute relative difference (MARD), %20/20, %15/15 accuracy, and Clarke Error Grid analysis. Exclusions included analysis during the CGM “warm-up” period and hydroxyurea administration (known drug interference). A total of 183 time-matched samples were reviewed during postoperative days 2–7. MAD was 14.7 mg/dL and MARD was 13.4%, with values of 15.2%, 14.0%, 12.1%, 11.4%, 13.2% and 14.1% at days 2, 3, 4, 5, 6 and 7, respectively. Dexcom G6 had a %20/20 accuracy of 78%, and a %15/15 accuracy of 64%. Clarke Error Grid analysis showed that 77% of time-matched values were clinically accurate, and 100% were clinically acceptable. The Dexcom G6 CGM may be an accurate tool producing clinically acceptable values to make reliable clinical decisions in the immediate post-TPIAT period.

scholarly journals The Accuracy and Precision of the Continuously Stored Data from Flash Glucose Monitoring System in Type 2 Diabetes Patients during Standard Meal Tolerance Test

2020 ◽  
Vol 2020 ◽  
pp. 1-6 ◽  
Author(s):  
Rengna Yan ◽  
Huiqin Li ◽  
Xiaocen Kong ◽  
Xiaofang Zhai ◽  
Maoyuan Chen ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glucose Monitoring ◽  
Flash Glucose Monitoring ◽  
Standard Meal ◽  
Grid Analysis ◽  
Sensor Glucose ◽  
Interstitial Glucose ◽  
Error Grid ◽  
Diabetes Patients

Background. The purpose of this study was to investigate the accuracy of the continuously stored data from the Abbott FreeStyle Libre flash glucose monitoring (FGM) system in Chinese diabetes patients during standard meal tests when glucose concentrations were rapidly changing. Subjects and Methods. Interstitial glucose levels were monitored for 14 days in 26 insulin-treated patients with type 2 diabetes using the FGM system. Standard meal tests were conducted to induce large glucose swings. Venous blood glucose (VBG) was tested at 0, 30, 60, and 120 min after standard meal tests in one middle day of the first and second weeks, respectively. The corresponding sensor glucose values were obtained from interpolating continuously stored data points. Assessment of accuracy was according to recent consensus recommendations with median absolute relative difference (MARD) and Clarke and Parkes error grid analysis (CEG and PEG). Results. Among 208 paired sensor-reference values, 100% were falling within zones A and B of the Clarke and Parkes error grid analysis. The overall MARD was 10.7% (SD, 7.8%). Weighted least squares regression analysis resulted in high agreement between the FGM sensor glucose and VBG readings. The overall MTT results showed that FGM was lower than actual VBG, with MAD of 22.1 mg/dL (1.2 mmol/L). At VBG rates of change of -1 to 0, 0 to 1, 1 to 2, and 2 to 3 mg/dl/min, MARD results were 11.4% (SD, 8.7%), 9.4% (SD, 6.5%), 9.9% (SD, 7.5%), and 9.5% (SD, 7.7%). At rapidly changing VBG concentrations (>3 mg/dl/min), MARD increased to 19.0%, which was significantly higher than slow changing BG groups. Conclusions. Continuously stored interstitial glucose measurements with the FGM system were found to be acceptable to evaluate VBG in terms of clinical decision during standard meal tests. The continuously stored data from the FGM system appeared to underestimate venous glucose and performed less well during rapid glucose changes.

Measurement accuracy of two professional-use systems for point-of-care testing of blood glucose

2020 ◽  
Vol 58 (3) ◽  
pp. 445-455
Author(s):  
Annette Baumstark ◽  
Nina Jendrike ◽  
Ulrike Kamecke ◽  
Christina Liebing ◽  
Stefan Pleus ◽  
...  
Keyword(s):  
Blood Glucose ◽  
Point Of Care ◽  
Venous Blood ◽  
Laboratory Method ◽  
Sample Type ◽  
Point Of Care Testing ◽  
Blood Samples ◽  
Testing Procedures ◽  
Grid Analysis ◽  
Error Grid

AbstractBackgroundThe professional-use systems HemoCue® Glucose 201+ (HC201+) and HemoCue® Glucose 201 RT (HC201RT) are widely used for point-of-care testing (POCT) of blood glucose (BG). HC201RT utilizes unit-use microcuvettes which can be stored at room temperature, whereas HC201+ microcuvettes have to be stored at <8 °C. In this study, system accuracy of HC201+ and HC201RT was evaluated using capillary and venous blood samples.MethodsFor each system, two reagent system lots were evaluated within a period of 2 years based on testing procedures of ISO 15197:2013, a standard applicable for self-monitoring of blood glucose (SMBG) systems. For each reagent system lot, the investigation was performed by using 100 capillary and 95 to 99 venous blood samples. Comparison measurements were performed with a hexokinase laboratory method. Accuracy criteria of ISO 15197:2013 and POCT12-A3 were applied. In addition, bias was analyzed according to Bland and Altman, and error grid analysis was performed.ResultsWhen measuring capillary samples, both systems fulfilled accuracy requirements of ISO 15197:2013 and POCT12-A3 with the investigated reagent system lots. When measuring venous samples, only HC201+ fulfilled these requirements. Bias between HC201+ and reference measurements was more consistent over venous and capillary samples and microcuvette lots than for HC201RT. Error grid analysis showed that clinical actions might have been different depending on which system was used.ConclusionsIn this study, HC201+ showed a high level of accuracy irrespective of the sample type (capillary or venous). In contrast, HC201RT measurement results were markedly affected by the type of sample.

Validation of a new generation POCT glucose device with emphasis on aspects important for glycemic control in the hospital care

2012 ◽  
Vol 50 (9) ◽  
Author(s):  
Snježana Kos ◽  
Arie van Meerkerk ◽  
Joke van der Linden ◽  
Theo Stiphout ◽  
Remi Wulkan
Keyword(s):  
Glycemic Control ◽  
Point Of Care ◽  
Total Error ◽  
Reference Method ◽  
Tight Glycemic Control ◽  
Insulin Dosage ◽  
Deming Regression ◽  
Clarke Error Grid ◽  
New Generation ◽  
Error Grid

AbstractPoint-of-care (POC) glucose devices are widely used for insulin-dosage decision-making although such an application is not always permitted. In this study, we have evaluated a new generation of POC glucose device, the HemoCueThis study was performed according to the CLSI/STARD criteria. The 201DMRT was compared to the laboratory hexokinase glucose method (Siemens Dimension VistaThe 201DMRT showed a good agreement with the laboratory reference method. This was examined using Deming regression analysis, percentage Bland-Altman plot and a modified Clarke-error grid. The total analytical error at the clinically critical glucose concentrations of 5.6, 7.0 and 11.1 mmol/L (101, 126 and 200 mg/dL) was 6.4%, 4.3% and 3.0%, respectively. The total error among the different POC devices and among different cuvette lot numbers was <6.5%. Glucose measurements on the 201DMRT were not affected by changes in partial pressure of oxygen, whereas changes in hematocrit had influence on the results (3.4% for every 0.10 L/L change in hematocrit).The 201DMRT device can be used for glycemic control based on analytical results presented. However, the clinical applicability for tight glycemic control must be confirmed in a clinical study.

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