Browsing by Subject "Blood Glucose Self-Monitoring"

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    Experience with Real-Time Continuous Glucose Monitoring in Newborns with Congenital Hyperinsulinemic Hypoglycemia
    (Georg Thieme Verlag, 2021) Anlk A.; Türkmen M.K.; Akcan A.B.; Ünüvar T.; Öztürk S.; Anlk A.
    Background Effective treatment and close monitoring of hypoglycemia in children with congenital hyperinsulinemic hypoglycemia (CHH) is vital to prevent brain damage. The current use of capillary sampling schedules does not provide a comprehensive assessment of glycemic status and fails to detect asymptomatic hypoglycemia episodes. Aim To investigate the efficacy and accuracy of a real-time continuous glucose monitoring system (RT-CGMS) in neonates with CHH. Methods A sensor connected to RT-CGMS was inserted into the newborn patients and maintained for at least 6 days during their stay in the hospital. We compared the readings of CGMS with capillary blood glucose values using Bland-Altman analysis. Results A total of 110 blood glucose values were compared to readings from the CGMS. All results were calculated and plotted for CGMS values at 0-4, 5-9, 10-14, 15-19, 20-24, and 25-29 min after capillary blood glucose sampling. CGMS readings were highly correlated with blood glucose values, especially during normoglycemia. In case of hypoglycemia, the mean difference between the CGMS and capillary glucose values was higher. Although the false positive rate for hypoglycemia was relatively high in CGMS, RT-CGMS may show some episodes of hypoglycemia earlier than blood measurement. Conclusion RT-CGMS is accurate during normoglycemia, and it can reduce the number of capillary blood samples in children with CHH. © 2021 Georg Thieme Verlag. All rights reserved.
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    Portable quantification of silver ion by using personal glucose meter (PGM) and magnetite cross-linked invertase aggregates (MCLIA)
    (Academic Press Inc., 2022) Polatoğlu İ.; Yardım A.
    Heavy metal detection is critical due to its harmful effects on human health and the ecosystem. Enzyme-based platforms attract attention for heavy metal detection such as silver, a toxic metal, due to being small, portable, and requiring only essential equipment compared with the basic analytical methods. In this study, magnetic cross-linked invertase aggregates (MCLIA) were developed for the first time as an enzyme-based signaling platform to detect Ag+ using a personal glucose meter (PGM). EDX, FTIR, and VSM results depicted that MCLIA was successfully developed and exhibits super-paramagnetism. In addition, MCLIA selectively detected the Ag+ at a sensitivity of 1.2 inhibition rate/μM in a linear range from 5 to 70 μM with a detection limit of 4.6 μM and IC50 value of 42.3 μM. These findings strongly indicate that MCLIA is applicable as a signal platform for portable quantification of other analytes that inhibits the invertase enzyme. © 2021 Elsevier Inc.