REAL-TIME GLUCOSE MONITORING AND INSULIN TITRATION ALGORITHMS IN TYPE 1 DIABETES MANAGEMENT

Authors

  • Hassan Yar Mahsood Gomal Medical College, MTI, Dera Ismail Khan 29050 Khyber Pakhtunkhwa, Pakistan Author
  • Saad Abdullah Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan, Pakistan Author

Keywords:

Type 1 Diabetes, Continuous Glucose Monitoring, Insulin Titration, Reinforcement Learning, Closed-Loop System, Glycemic Control

Abstract

Continuous glucose monitoring (CGM) and automated insulin titration promise to transform Type 1 diabetes management by reducing patient burden and improving glycemic outcomes. In this prospective, single-center, 14-day interventional study, 30 adults (mean age 35.4 ± 10.2 years; duration of diabetes 12.3 ± 5.1 years; baseline HbA1c 8.1 ± 0.6%) underwent closed-loop insulin delivery driven by a personalized reinforcement-learning algorithm trained on two weeks of retrospective CGM and dosing data. Primary endpoints included percentage time in range (70–180 mg/dL), mean glucose, and glycemic variability; secondary endpoints encompassed rates of hypoglycemia (<70 mg/dL), hyperglycemia (>180 mg/dL), total daily insulin dose, and user satisfaction..

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Published

2024-12-31

How to Cite

REAL-TIME GLUCOSE MONITORING AND INSULIN TITRATION ALGORITHMS IN TYPE 1 DIABETES MANAGEMENT. (2024). Scientific Insights and Perspectives, 2(2), 28-43. https://sci-insights.com/index.php/SIP/article/view/18