Lukács, Andrea (2024) Continuous glucose monitoring (CGM): technological advancement in diabetes management. EGÉSZSÉGTUDOMÁNYI KÖZLEMÉNYEK: A MISKOLCI EGYETEM KÖZLEMÉNYE, 14 (2). pp. 11-18. ISSN 2063-2142
|
Text
3484_LukacsAndrea.pdf - Published Version Download (358kB) | Preview |
Abstract
Continuous glucose monitoring (CGM) represents a major breakthrough in diabetes management, offering real-time insights into glucose levels that help optimize glycaemic control. This review discusses the expanding role of CGM, its advantages, challenges, and future directions. Traditional methods, such as self-monitoring blood glucose (SMBG), provide only periodic glucose data, which can miss critical fluctuations and result in less effective diabetes management. In contrast, CGM delivers constant feedback, allowing timely interventions and a deeper understanding of glucose patterns. CGM systems typically comprise a sensor, transmitter, and receiver. These devices measure glucose levels in the interstitial fluid and send data to receivers or smartphones, with some systems even syncing with insulin pumps for automatic adjustments. Both real-time (rtCGM) and intermittently scanned (isCGM) systems have demonstrated benefits, including reduced HbA1c levels, increased time in range (TIR), and a lower risk of hypoglycemia for people with both type 1 and type 2 diabetes. Despite these benefits, CGM adoption faces barriers like cost, accessibility, and data overload. Additionally, occasional discrepancies between CGM readings and actual blood glucose levels highlight the need for user education and further refinement of CGM accuracy. Advances in CGM technology, including longer sensor life, improved accuracy, and integration with artificial intelligence (AI), are propelling diabetes care forward. AI features hold promise for predictive glucose management, while integration with closed-loop (artificial pancreas) systems may transform insulin delivery. As CGM technology progresses, it is positioned to play a crucial role in managing not only diabetes but also other metabolic conditions. For CGM to achieve its full potential, issues surrounding affordability and accessibility must be addressed to ensure broad access to this life-enhancing technology
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Continuous Glucose Monitoring (CGM), Diabetes Management, Glycemic Control, Artificial Intelligence in Healthcare, Real-time Glucose Monitoring |
Subjects: | R Medicine / orvostudomány > RC Internal medicine / belgyógyászat |
SWORD Depositor: | MTMT SWORD |
Depositing User: | MTMT SWORD |
Date Deposited: | 12 Feb 2025 09:16 |
Last Modified: | 12 Feb 2025 09:16 |
URI: | https://real.mtak.hu/id/eprint/215497 |
Actions (login required)
![]() |
Edit Item |