OBJECTIVE - To analyze a transcutaneous near-infrared spectroscopy system a
s a technique for in vivo noninvasive blood glucose monitoring during eugly
cemia and hypoglycemia.
RESEARCH DESIGN AND METHODS - Tell nondiabetic subjects and two patients wi
th type 1 diabetes were examined in a total of 27 studies. In each study, t
he subject's plasma glucose was lowered to a hypoglycemic level (similar to
55 mg/dl) followed by recovery to a glycemic level of similar to 115 mg/dl
using an intravenous infusion of insulin and 20% dextrose. Plasma glucose
levels were determined at 5-min intervals by standard glucose oxidase metho
d and simultaneously by a near-infrared spectroscopic system. The plasma gl
ucose measured by the standard method was used to create a calibration mode
l that could predict glucose levels from the near-infrared spectral data. T
he two data sets were correlated during the decline and recovery in plasma
glucose, within 10 mg/dl plasma glucose ranges, and were examined using the
Clarke Error Grid Analysis.
RESULTS - Two sets of 1,704 plasma glucose determinations were examined. Th
e near-infrared predictions during the fall and recovery in plasma glucose
were highly correlated (r = 0.96 and 0.95, respectively). When analyzed dur
ing 10 mg/dl plasma glucose segments, the mean absolute difference between
the near-infrared spectroscopy method and the chemometric reference ranged
from 3.3 to 4.4 mg/dl in the nondiabetic subjects and from 2.6 to 3.8 mg/dl
in the patients with type 1 diabetes. Using the Error Grid Analysis, 97.7%
of all the near-infrared predictions were assigned to the A-zone.
CONCLUSIONS - Our findings suggest that the near-infrared spectroscopy meth
od can accurately predict plasma glucose levels during euglycemia and hypog
lycemia in humans.