Automated near-continuous glucose monitoring measured in plasma using mid-infrared spectroscopy

J Diabetes Sci Technol. 2011 Mar 1;5(2):345-52. doi: 10.1177/193229681100500222.

Abstract

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 (<75 mg/dl), and hyperglycemic (>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 OptiScanner venous blood samples were automatically withdrawn every 15 minutes.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 r(2) 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.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Automation
  • Blood Glucose / metabolism
  • Blood Glucose Self-Monitoring / methods*
  • Diabetes Mellitus, Type 1 / blood*
  • Diabetes Mellitus, Type 2 / blood*
  • Equipment Design
  • Female
  • Humans
  • Hyperglycemia / diagnosis
  • Hypoglycemia / diagnosis
  • Male
  • Middle Aged
  • Research Design
  • Spectrophotometry, Infrared / methods*

Substances

  • Blood Glucose