Evaluation of Diabur-Test 5000: A Cooperative Study Carried Out at 12 Diabetes Centers

Banauch, D; Koller, P. U.; Bablok, W

doi:10.2337/diacare.6.3.213

Cited by 4 publications

(2 citation statements)

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“…Also, the former uses a colored (blood) sample and a wiping procedure that the latter does not. Furthermore, currently available urine glucose reagent strips have a calibrated scale that fully emphasizes the low range below 1.0 g/dl while providing a measurement span 10-fold larger than corresponding blood strips (20). Thus, in a real clinical study the expected variability in self-measured blood glucose values should be larger than that observed in these simulations, and this might have an impact on overall glycemic variability, whereas the expected variability with urine glucose estimations should remain close to what was simulated.…”

Section: Discussionmentioning

confidence: 99%

Blood or Urine Glucose-Based Insulin Therapy and Control of Glycemia: Computer-Simulation Study

Albisser¹,

Sozzi²,

Strack³

1990

Diabetes Care

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Adjustment algorithms for conventional insulin therapy must be tested for safety and efficacy before clinical implementation. We did this by computer simulation. Accordingly, a computer simulator of human intermediary metabolism created 10 randomly chosen diabetic subjects for study. All were well defined with respect to compliance (i.e., medication and diet) and life-style (i.e., physical and emotional stress). Insulin-adjustment algorithms that were tested calculated daily insulin dosages for these computer-simulated patients based on either blood or urine glucose concentrations self-measured 4 times/day before breakfast, lunch, dinner, and bedtime snack. The twofold purpose of the simulation study was to determine the ability of the adjustment algorithms to improve initially poor metabolic control and to compare the outcomes when either blood or urine glucose measurements were the basis on which glycemic control was implemented. A significant improvement in metabolic control could be achieved with either blood or urine glucose measurements as input to the algorithms. Detailed comparisons between blood and urine glucose-based treatments showed no significant advantage of blood glucose-based algorithms at breakfast (122 +/- 21 vs. 131 +/- 16 mg/dl) and dinner (117 +/- 27 vs. 130 +/- 23 mg/dl), whereas mean glycemia at lunch (122 +/- 24 vs. 164 +/- 21 mg/dl) and bedtime (117 +/- 25 vs. 150 +/- 21 mg/dl) after 120 days of simulation did differ significantly (P less than 0.01). Hypoglycemia was not provoked by either treatment. Total daily insulin doses evolved by blood glucose-based algorithms were significantly (P less than 0.05) higher than the doses used by urine glucose-based algorithms (53 vs. 47 U).(ABSTRACT TRUNCATED AT 250 WORDS)

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Section: Discussionmentioning

confidence: 99%

Blood or Urine Glucose-Based Insulin Therapy and Control of Glycemia: Computer-Simulation Study

Albisser¹,

Sozzi²,

Strack³

1990

Diabetes Care

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“…The principle of the test consists of a reaction between the glucose -oxidase/ peroxidase specific to glucose. Staining occurs as a result of this reaction compared with the color scales on the label [24].…”

Section: Deterimation Of Glucosementioning

confidence: 99%

Technological Quality of Potato Tubers: Effect of Potassium Fertilization and Application Time

Mnayer¹

2023

ES J Agri Curr Res

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The effect of potassium fertilization and time of application on yield and tuber quality of potato (Solanum tuberosum L., cv. Agria) was studied in Bekaa region in Lebanon. Potassium was applied in one split at tuber initiation (T1) and at tuber bulking (T2) in four different rates: K0 (0 kg/ha), K1 (100 kg/ha), K2 (200 kg/ha) and K3 (300 kg/ha). Results showed that aerial dry matter decreased and tuber dry matter increased during the growing period. The dry matter accumulation was dependent on potassium fertilization. Potassium concentration gradually decreased in leaves and increased in tubers during the growing period, while the most potassium treatment (K3) has accumulated at harvest, higher potassium concentrations in leaves and tubers, with more emphasis to application time T2 with respect to T1. Moreover, potassium has accelerated significantly (p<0.05) tuber dry matter accumulation. This was revealed by growth rate and harvest index values that were significantly higher (p<0.05) in K3 treatment with comparison to other treatments. Results also showed that fresh tuber yields increased with potassium fertilization and were more pronounced with T2 application whereas K3 had significantly (p<0.05) the highest value of 62.9 t/ha (K3). Yield augmentation was primarily due to an increase in tuber size in the larger (> 60 mm) and the medium (35 – 60 mm) grades. In addition, results showed that tuber dry matter content and specific gravity were statistically dependent on potassium fertilization and application time (p<0.05). The highest potassium treatment K3, regardless of application time, gave the best tuber quality of industrial potato by having the highest dry matter and the lowest reducing sugar contents. Finally, the results of this study suggest that maximum potato yield was obtained with K3 treatment (300 kg/ ha) applied during tuber bulking stage (T2).

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Monitoring of Metabolic Control in Diabetes Mellitus: Methodological and Clinical Aspects

Flückiger¹,

Berger²

1986

Progress in Clinical Biochemistry and Medicine

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Evaluation of Diabur-Test 5000: A Cooperative Study Carried Out at 12 Diabetes Centers

Cited by 4 publications

References 0 publications

Blood or Urine Glucose-Based Insulin Therapy and Control of Glycemia: Computer-Simulation Study

Blood or Urine Glucose-Based Insulin Therapy and Control of Glycemia: Computer-Simulation Study

Technological Quality of Potato Tubers: Effect of Potassium Fertilization and Application Time

Monitoring of Metabolic Control in Diabetes Mellitus: Methodological and Clinical Aspects

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