Automated Near-Continuous Glucose Monitoring Measured in Plasma Using Mid-Infrared Spectroscopy
| Autor: | Gene Lim, Jennifer Gable, Leszek Nosek, Christopher Calentine, Thomas Jax, Tim Heise |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Adult
Blood Glucose Male medicine.medical_specialty Adolescent Spectrophotometry Infrared Endocrinology Diabetes and Metabolism Biomedical Engineering Bioengineering Hypoglycemia Mid infrared spectroscopy Automation Blood Glucose Self-Monitoring Internal Medicine Humans Medicine In patient Aged Glycemic Plasma glucose business.industry Continuous glucose monitoring Original Articles Equipment Design Middle Aged medicine.disease Surgery Diabetes Mellitus Type 1 Diabetes Mellitus Type 2 Research Design Hyperglycemia Female business Biomedical engineering |
| Zdroj: | Journal of Diabetes Science and Technology. 5:345-352 |
| ISSN: | 1932-2968 |
| DOI: | 10.1177/193229681100500222 |
| Popis: | Objective: There are increasing calls for a precise, automated system to enable tight glycemic control and to avoid hypoglycemia in an intensive care unit setting. OptiScan Biomedical has developed a glucose monitor based on mid-infrared spectroscopy that withdraws blood samples (120 μl) and measures plasma glucose. The goal of this study was to validate the performance of the OptiScan Model 5000 over a wide range of glycemic levels in patients. Research Design and Methods: Sixty people with type 1 ( n = 18) or type 2 ( n = 42) diabetes who were otherwise healthy were connected to OptiScanners. Their blood glucose concentrations were kept in a euglycemic, hypoglycemic (180 mg/dl) range by intravenous administrations of insulin and glucose. OptiScanner venous blood samples were automatically withdrawn every 15 minutes. Reference measurements were done using the YSI 2300 glucose analyzer. Results: The aggregate data points (1155 paired readings) were within International Organization for Standardization standards, with 98.6% of the glucose values within ±20% above 75 mg/dl and ±15 mg/dl below this value. A Clarke error grid analysis showed a total of 1139 points (98.6%) in zone A. Points outside of A exceeded the A zone boundary by an average of 4.3%. The r2 was 0.99. The total coefficient for variance was 6.4%. Conclusions: These results show that the OptiScanner is highly accurate in healthy patients with diabetes across a wide range of glucose values. Mid-infrared spectroscopy may become the method of choice for highly accurate, high frequency, automated glucose measurements and may thus enable better glycemic control in critically ill patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|