An Observational Crossover Study of People Using Real-Time Continuous Glucose Monitors Versus Self-Monitoring of Blood Glucose: Real-World Evidence Using Electronic Medical Record Data From More Than 12,000 People With Type 1 Diabetes.

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM
Nudrat Noor, Gregory Norman, Rona Sonabend, Lily Chao, Manmohan Kamboj, Lauren Golden, M Tracy Bekx, Susan Hseih, Carol Levy, Janine Sanchez, Robert Rapaport, Osagie Ebekozien
{"title":"An Observational Crossover Study of People Using Real-Time Continuous Glucose Monitors Versus Self-Monitoring of Blood Glucose: Real-World Evidence Using Electronic Medical Record Data From More Than 12,000 People With Type 1 Diabetes.","authors":"Nudrat Noor, Gregory Norman, Rona Sonabend, Lily Chao, Manmohan Kamboj, Lauren Golden, M Tracy Bekx, Susan Hseih, Carol Levy, Janine Sanchez, Robert Rapaport, Osagie Ebekozien","doi":"10.1177/19322968231178017","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>We used real-world electronic health record (EHR) data to examine HbA1c levels among children and adults with type 1 diabetes (T1D) who are classified as continuous glucose monitor (CGM) users after T1D diagnosis and switch to self-monitoring of blood glucose (SMBG) during follow-up, versus people who opt for SMBG after T1D diagnosis and switch to CGM during follow-up visits.</p><p><strong>Methods: </strong>We conducted an observational, case-crossover study using electronic medical record (EMR) data from the T1D Exchange Quality Improvement Collaborative. The primary outcome in this study was HbA1c. Baseline HbA1c levels were taken at the index date, corresponding to initial device classification, and compared with HbA1c value recorded at the clinic visit following device switch.</p><p><strong>Results: </strong>Of all patients classified in the SMBG group, 7,706 switched to CGM use within the 5-year study time frame, and 5,123 of all initial CGM users switched to SMBG within the study time frame and were included in this analysis. At baseline, median (interquartile range [IQR]) HbA1c for SMBG use was 8.1 (2.4), whereas postcrossover to CGM use, there was a decline in median (IQR) levels to 7.7 (1.9) (<i>P</i> < .001). For baseline CGM users, median (IQR) HbA1c levels were 7.9 (2.0), and postcrossover to SMBG, median (IQR) HbA1c levels increased to 8.0 (2.9) (<i>P</i> < .001).</p><p><strong>Conclusion: </strong>We found that people who switched to CGM use had significantly improved HbA1c levels compared to those who switched to glucose monitoring with SMBG.</p>","PeriodicalId":15475,"journal":{"name":"Journal of Diabetes Science and Technology","volume":" ","pages":"63-71"},"PeriodicalIF":4.1000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11688696/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/19322968231178017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/1 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

Abstract

Background: We used real-world electronic health record (EHR) data to examine HbA1c levels among children and adults with type 1 diabetes (T1D) who are classified as continuous glucose monitor (CGM) users after T1D diagnosis and switch to self-monitoring of blood glucose (SMBG) during follow-up, versus people who opt for SMBG after T1D diagnosis and switch to CGM during follow-up visits.

Methods: We conducted an observational, case-crossover study using electronic medical record (EMR) data from the T1D Exchange Quality Improvement Collaborative. The primary outcome in this study was HbA1c. Baseline HbA1c levels were taken at the index date, corresponding to initial device classification, and compared with HbA1c value recorded at the clinic visit following device switch.

Results: Of all patients classified in the SMBG group, 7,706 switched to CGM use within the 5-year study time frame, and 5,123 of all initial CGM users switched to SMBG within the study time frame and were included in this analysis. At baseline, median (interquartile range [IQR]) HbA1c for SMBG use was 8.1 (2.4), whereas postcrossover to CGM use, there was a decline in median (IQR) levels to 7.7 (1.9) (P < .001). For baseline CGM users, median (IQR) HbA1c levels were 7.9 (2.0), and postcrossover to SMBG, median (IQR) HbA1c levels increased to 8.0 (2.9) (P < .001).

Conclusion: We found that people who switched to CGM use had significantly improved HbA1c levels compared to those who switched to glucose monitoring with SMBG.

使用实时连续血糖监测仪与自我血糖监测的观察性交叉研究:使用来自 12,000 多名 1 型糖尿病患者的 EMR 数据的真实世界证据。
背景:我们利用真实世界的电子病历(EHR)数据,研究了在确诊 T1D 后被归类为连续血糖监测仪(CGM)用户并在随访期间改用自我血糖监测仪(SMBG)的 1 型糖尿病(T1D)儿童和成人患者与在确诊 T1D 后选择 SMBG 并在随访期间改用 CGM 的患者的 HbA1c 水平:我们利用 T1D 交流质量改进合作组织的电子病历 (EMR) 数据开展了一项观察性病例交叉研究。本研究的主要结果是 HbA1c。基线 HbA1c 水平取自初始设备分类的索引日期,并与设备转换后门诊记录的 HbA1c 值进行比较:在所有被归入 SMBG 组的患者中,有 7706 人在 5 年的研究期限内转为使用 CGM,而在所有初始 CGM 用户中,有 5123 人在研究期限内转为使用 SMBG,并被纳入本次分析。基线时,SMBG 使用者的 HbA1c 中位数(四分位距[IQR])为 8.1 (2.4),而转换为 CGM 使用者后,中位数(IQR)水平降至 7.7 (1.9)(P < .001)。对于基线 CGM 用户,HbA1c 水平的中位数(IQR)为 7.9 (2.0),而改用 SMBG 后,HbA1c 水平的中位数(IQR)升至 8.0 (2.9) (P < .001):我们发现,与改用 SMBG 监测血糖的人相比,改用 CGM 的人的 HbA1c 水平有了明显改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信