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是否使用自我血糖监测系统?基于 FGM-Japan 研究的聚类分析对真实世界中即时血糖监测模式的探讨。

To Use or Not to Use a Self-monitoring of Blood Glucose System? Real-world Flash Glucose Monitoring Patterns Using a Cluster Analysis of the FGM-Japan Study.

机构信息

Division of Preventive Medicine, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Japan.

Division of Diabetes and Endocrinology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Japan.

出版信息

Intern Med. 2023 Sep 15;62(18):2607-2615. doi: 10.2169/internalmedicine.0639-22. Epub 2023 Jan 12.

Abstract

Objective This study investigated self-monitoring of blood glucose (SMBG) adherence and flash glucose monitoring patterns using a cluster analysis in Japanese type 1 diabetes (T1D) patients with intermittently scanned continuous glucose monitoring (isCGM). Methods We measured SMBG adherence and performed a data-driven cluster analysis using a hierarchical clustering in T1D patients from Japan using the FreeStyle Libre system. Clusters were based on three variables (testing glucose frequency and referred Libre data for hyperglycemia or hypoglycemia). Patients We enrolled 209 participants. Inclusion criteria were patients with T1D, duration of isCGM use ≥3 months, age ≥20 years old, and regular attendance at the collaborating center. Results The rate of good adherence to SMBG recommended by a doctor was 85.0%. We identified three clusters: cluster 1 (low SMBG test frequency but high reference to Libre data, 17.7%), cluster 2 (high SMBG test frequency but low reference to Libre data, 34.0%), and cluster 3 (high SMBG test frequency and high reference to Libra data, 48.3%). Compared with other clusters, individuals in cluster 1 were younger, those in cluster 2 had a shorter Libre duration, and individuals in cluster 3 had lower time-in-range, higher severe diabetic distress, and high intake of snacks and sweetened beverages. There were no marked differences in the incidence of diabetic complications and rate of wearing the Libre sensor among the clusters. Conclusion We stratified the patients into three subgroups with varied clinical characteristics and CGM metrics. This new substratification might help tailor diabetes management of patients with T1D using isCGM.

摘要

目的 本研究通过聚类分析调查了使用间歇性扫描连续血糖监测(isCGM)的日本 1 型糖尿病(T1D)患者的自我血糖监测(SMBG)依从性和闪光血糖监测模式。

方法 我们使用 FreeStyle Libre 系统测量了日本 T1D 患者的 SMBG 依从性,并进行了基于分层聚类的数据分析驱动聚类分析。聚类基于三个变量(测试血糖的频率以及高血糖或低血糖时参考 Libre 数据)。

患者 我们纳入了 209 名参与者。纳入标准为:T1D 患者,isCGM 使用时间≥3 个月,年龄≥20 岁,定期到合作中心就诊。

结果 医生推荐的 SMBG 良好依从率为 85.0%。我们确定了三个聚类:聚类 1(SMBG 测试频率低,但参考 Libre 数据多,占 17.7%)、聚类 2(SMBG 测试频率高,但参考 Libre 数据少,占 34.0%)和聚类 3(SMBG 测试频率高,参考 Libre 数据也多,占 48.3%)。与其他聚类相比,聚类 1 的患者年龄较小,聚类 2 的 Libre 持续时间较短,聚类 3 的时间在范围内较短,严重糖尿病困扰较高,零食和甜饮料摄入较多。聚类之间在糖尿病并发症的发生率和 Libre 传感器佩戴率方面没有明显差异。

结论 我们将患者分为三个具有不同临床特征和 CGM 指标的亚组。这种新的亚分类可能有助于针对使用 isCGM 的 T1D 患者进行糖尿病管理。

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