Liu Xueen, Zhang Jiale
Department of Nursing, Beijing Hepingli Hospital, Beijing, People's Republic of China.
Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
J Multidiscip Healthc. 2024 Nov 22;17:5513-5519. doi: 10.2147/JMDH.S493128. eCollection 2024.
Prediabetes, as an intermediary stage between normal glucose homeostasis and overt diabetes, affects an estimated 720 million individuals worldwide, highlighting the urgent need for proactive intervention strategies. Continuous glucose monitoring (CGM) emerges as a transformative tool, offering unprecedented insights into glycemic dynamics and facilitating tailored therapeutic interventions. This perspective scores the clinical significance of even slightly elevated fasting blood glucose levels and the critical role of early intervention. CGM technology provides real-time, continuous data on glucose concentrations, surpassing the constraints of conventional monitoring methods. Both retrospectively analyzed and real-time CGM systems offer valuable tools for glycemic management, each with unique strengths. The integration of CGM into routine care can detect early indicators of type 2 diabetes, inform the development of personalized intervention strategies, and foster patient engagement and empowerment. Despite challenges such as cost and the need for effective utilization through training and education, CGM's potential to revolutionize prediabetes management is evident. Future research should focus on refining CGM algorithms, exploring personalized intervention strategies, and leveraging wearable technology and artificial intelligence advancements to optimize glycemic control and patient well-being.
糖尿病前期作为正常血糖稳态与显性糖尿病之间的中间阶段,全球约有7.2亿人受其影响,凸显了积极干预策略的迫切需求。持续葡萄糖监测(CGM)成为一种变革性工具,能以前所未有的方式洞察血糖动态,并促进量身定制的治疗干预。本文阐述了即使空腹血糖水平略有升高的临床意义以及早期干预的关键作用。CGM技术可提供血糖浓度的实时、连续数据,突破了传统监测方法的局限。回顾性分析和实时CGM系统都为血糖管理提供了有价值的工具,各有其独特优势。将CGM纳入常规护理可检测2型糖尿病的早期指标,为制定个性化干预策略提供依据,并促进患者参与和自我管理。尽管存在成本以及需要通过培训和教育实现有效利用等挑战,但CGM在彻底改变糖尿病前期管理方面的潜力显而易见。未来研究应聚焦于优化CGM算法、探索个性化干预策略,以及利用可穿戴技术和人工智能进展来优化血糖控制和患者健康状况。