Related Experiment Video
Updated: Feb 13, 2026
07:51
Evaluation of Capnography Sampling Line Compatibility and Accuracy when Used with a Portable Capnography Monitor
Published on: September 29, 2020
9.6K
Accuracy Beyond ISO: Introducing a New Method for Distinguishing Differences Between Blood Glucose Monitoring Systems
Scott Pardo1, Rimma M Shaginian2, David A Simmons1
11 Ascensia Diabetes Care, Parsippany, NJ, USA.
Journal of Diabetes Science and Technology
|March 16, 2018
Summary
Accurate blood glucose monitoring systems (BGMS) are crucial for diabetes management. This study found that while most systems meet accuracy standards, some show reduced precision at very low glucose levels, impacting patient safety.
Area of Science:
- Medical Devices
- Diabetes Technology
- Clinical Diagnostics
Background:
- Diabetes treatment aims for near-normal glycemic levels.
- Self-monitoring of blood glucose (SMBG) is vital for patient outcomes.
- Accurate SMBG results are essential for safe nutritional and drug dosing decisions.
Purpose of the Study:
- To introduce a novel methodology for evaluating blood glucose monitoring system (BGMS) accuracy.
- To assess the reliability of BGMS across various glucose concentrations.
Main Methods:
- Utilized sensitivity analyses with real and simulated BGMS data.
- Calculated probabilities of BGMS results falling within defined error bounds.
- Employed multiple blood glucose (BG) value ranges for comprehensive analysis.
Main Results:
- Developed accuracy probability curves using simulated and real-world BGMS data.
- All tested real-world BGMS met EN ISO 15197:2015 accuracy criteria for most ranges.
- Identified variability in accuracy among BGMS, particularly at BG levels below 70 mg/dL, with one system showing reduced accuracy below 50 mg/dL.
Conclusions:
- BGMS accuracy is critical for optimal glycemic control and preventing hypoglycemia/hyperglycemia.
- Accuracy variations in low BG ranges pose risks, as small measurement errors can significantly impact patient outcomes.
- The developed methodology effectively highlights BGMS performance nuances, especially in critical low glucose scenarios.
Related Concept Videos
02:07Improving Translational Accuracy
15.0K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
15.0K
02:07Improving Translational Accuracy
3.7K
3.7K
03:37Uncertainty in Measurement: Accuracy and Precision
104.7K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
104.7K
01:52Accuracy and Precision
15.7K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. Highly accurate...
15.7K
01:28Accuracy, limits, and approximation
1.3K
Accuracy, limits, and approximations are common in many fields, especially in engineering calculations. These concepts are imperative for ensuring that a given value is as close as possible to its true value.
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
Accuracy is defined as the closeness of the measured value to the true or actual value. In engineering mechanics, repeated measurements are taken during theoretical or experimental analyses to ensure that the result is precise and accurate.
The accuracy of any solution is based on the...
1.3K
01:13Accuracy and Errors in Hypothesis Testing
602
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
602