Afridi Zain, Rauf Sameer Abdul, Ashraf Syed Muhammad Nabil, Haque Md Ariful
Department of Medicine Khyber Medical College Peshawar Karachi Pakistan.
Department of Medicine Liaquat National Medical College Karachi Pakistan.
Health Sci Rep. 2025 Apr 18;8(4):e70747. doi: 10.1002/hsr2.70747. eCollection 2025 Apr.
Continuous glucose monitoring (CGM) has significantly advanced diabetes management, evolving from early glucose testing methods to modern, FDA-approved systems. Despite its benefits, challenges related to data security, affordability, and awareness of CGM devices remain.
This article explores the historical development, current advancements, and ongoing challenges of CGM systems in diabetes management. It aims to provide insights into how these technologies have transformed patient care and highlight areas needing further improvement.
A comprehensive literature review was conducted, focusing on advancements in CGM technology. Sources included PubMed, Google Scholar, and recent guidelines and reviews on CGM systems and their impact on diabetes management.
The evolution from the Dextrostix test strip to modern CGM systems, including over-the-counter devices, has enhanced glucose monitoring and patient outcomes. Recent innovations, such as machine learning models for predicting glucose fluctuations, promise to improve diabetes management. However, issues like data security and device accessibility persist.
To maximize the benefits of CGM systems, addressing data security, improving affordability, and increasing awareness of CGM devices are crucial. Continued advancements in CGM technology and supportive policies are essential for enhancing diabetes care and patient outcomes globally.
持续葡萄糖监测(CGM)显著推动了糖尿病管理的发展,从早期的血糖检测方法演进至现代经美国食品药品监督管理局(FDA)批准的系统。尽管其具有诸多益处,但与CGM设备的数据安全、可负担性及认知度相关的挑战依然存在。
本文探讨CGM系统在糖尿病管理中的历史发展、当前进展及持续存在的挑战。其旨在深入了解这些技术如何改变患者护理,并突出需要进一步改进的领域。
进行了一项全面的文献综述,重点关注CGM技术的进展。资料来源包括PubMed、谷歌学术以及关于CGM系统及其对糖尿病管理影响的近期指南和综述。
从葡萄糖氧化酶试纸测试到现代CGM系统(包括非处方设备)的演变,增强了血糖监测及患者治疗效果。近期的创新,如用于预测血糖波动的机器学习模型,有望改善糖尿病管理。然而,数据安全和设备可及性等问题依然存在。
为了最大限度地发挥CGM系统的益处,解决数据安全问题、提高可负担性并增强对CGM设备的认知至关重要。CGM技术的持续进步和支持性政策对于在全球范围内改善糖尿病护理及患者治疗效果至关重要。