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持续葡萄糖监测指标预测糖尿病全因死亡率:现实世界长期研究
Tomoki Okuno1,2, Sharon A Macwan2, Gregory J Norman3
1Department of Biostatistics, University of California Los Angeles, Los Angeles, CA.
Diabetes care
|August 6, 2025
概括
持续血糖监测 (CGM) 指标预测糖尿病患者的死亡风险. 关键指标,如较高的平均葡萄糖和时间超出范围的信号增加了风险,提供了超出HbA1c的见解.
科学领域:
- 内分泌学 在内分泌学.
- 糖尿病管理 糖尿病管理
- 临床研究 临床研究
背景情况:
- 持续血糖监测 (CGM) 提供了详细的血糖洞察力.
- 像HbA1c这样的传统指标可能无法完全捕捉糖尿病的死亡风险.
研究的目的:
- 调查CGM衍生的葡萄糖指标与1型或2型糖尿病成年人全因死亡率之间的关联.
- 为了确定CGM指标是否提供优越的风险预测与HbA1c相比.
主要方法:
- 对来自退伍军人事务医疗保健系统的2,752名成人糖尿病患者的分析,使用Dexcom CGM数据 (2015-2020年).
- 使用Cox模型对CGM指标 (平均葡萄糖,范围内的时间,范围以上的时间,变化系数,血糖风险指数) 与5年全因死亡率进行评估.
- 数据与电子健康记录合并,具有14天,3个月和6个月的里程碑时期.
主要成果:
- 较高的平均葡萄糖,超出范围的时间,变化系数和血糖风险指数,以及在6个月的里程碑期内的较低范围的时间,与5年死亡率有显著关联.
- 这些关联在调整HbA1c后也仍然显著.
- 变化系数和死亡率之间的关联独立于其他CGM指标,并且在较低HbA1c的个体中更强.
结论:
- 来自CGM的指标与糖尿病患者的全因死亡率有显著的关联.
- CGM指标可以提供比单独的HbA1c更全面的长期死亡风险评估,捕捉来自葡萄糖变化和偏差的风险.
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