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Management of diabetics with the use of a microprocessor: comparison of insulin treatments based on blood and urine glucose levels
The insulin treatment of 8 insulin-dependent diabetics was controlled with a microprocessor (Better Control Medical Computer, BCMC, Inc., Toronto, Canada) with information derived from blood or first voided urine glucose concentrations assessed by reagent strips four times a day, before the three ma...
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Published in: | Acta Diabetologica Latina 1988-01, Vol.25 (1), p.33-40 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The insulin treatment of 8 insulin-dependent diabetics was controlled with a microprocessor (Better Control Medical Computer, BCMC, Inc., Toronto, Canada) with information derived from blood or first voided urine glucose concentrations assessed by reagent strips four times a day, before the three main meals and bedtime snack. The microprocessor recommends modification of the insulin doses so as to reach a pre-prandial blood glucose value of 110 mg/dl or a urine glucose concentration of 0.1 g/dl. During the first two weeks self-management was uniformly applied by the patients, based on their blood glucose concentration. Subsequently, it was continued by the patients who were divided into two groups, one using the blood, the other the urine glucose concentrations, each for three weeks, alternately. During microprocessor treatment the patients' mean blood glucose profiles decreased from 152 +/- 37 mg/dl to 126 +/- 28 mg/dl. No difference was found between treatments based on blood or urine glucose concentrations concerning either the mean blood glucose profiles or the number of hypoglycemic episodes in the presence of an average glucose threshold and good renal function. The first voided urine glucose concentration and mean and maximal blood glucose values obtained at the time of urine filtration were closely correlated (r = 0.82 and 0.86, p less than 0.001). |
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ISSN: | 0001-5563 1432-5233 |
DOI: | 10.1007/BF02581243 |