Impact of Continuous Glucose Monitoring Versus Blood Glucose Monitoring to Support a Carbohydrate-Restricted Nutrition Intervention in People with Type 2 Diabetes.

IF 5.7 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM Diabetes technology & therapeutics Pub Date : 2024-11-11 DOI:10.1089/dia.2024.0406
Holly J Willis, Stephen E Asche, Amy L McKenzie, Rebecca N Adams, Caroline G P Roberts, Brittanie M Volk, Shannon Krizka, Shaminie J Athinarayanan, Alison R Zoller, Richard M Bergenstal
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Abstract

Introduction: Low- and very-low-carbohydrate eating patterns, including ketogenic eating, can reduce glycated hemoglobin (HbA1c) in people with type 2 diabetes (T2D). Continuous glucose monitoring (CGM) has also been shown to improve glycemic outcomes, such as time in range (TIR; % time with glucose 70-180 mg/dL), more than blood glucose monitoring (BGM). CGM-guided nutrition interventions are sparse. The primary objective of this study was to compare differences in change in TIR when people with T2D used either CGM or BGM to guide dietary intake and medication management during a medically supervised ketogenic diet program (MSKDP) delivered via continuous remote care. Methods: IGNITE (Impact of Glucose moNitoring and nutrItion on Time in rangE) study participants were randomized to use CGM (n = 81) or BGM (n = 82) as part of a MSKDP. Participants and their care team used CGM and BGM data to support dietary choices and medication management. Glycemia, medication use, ketones, dietary intake, and weight were assessed at baseline (Base), month 1 (M1), and month 3 (M3); differences between arms and timepoints were evaluated. Results: Adults (n = 163) with a mean (standard deviation) T2D duration of 9.7 (7.7) years and HbA1c of 8.1% (1.2%) participated. TIR improved from Base to M3, 61-89% for CGM and 63%-85% for BGM (P < 0.001), with no difference in change between arms (P = 0.26). Additional CGM metrics also improved by M1, and improvements were sustained through M3. HbA1c decreased by ≥1.5% from Base to M3 for both CGM and BGM arms (P < 0.001). Diabetes medications were de-intensified based on change in medication effect scores from Base to M3 (P < 0.001). Total energy and carbohydrate intake decreased (P < 0.001), and participants in both arms lost clinically significant weight (P < 0.001). Conclusion: Both the CGM and BGM arms saw similar and significant improvements in glycemia and other diabetes-related outcomes during this MSKDP. Additional CGM-guided nutrition intervention research is needed.

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连续血糖监测与血糖监测对支持 2 型糖尿病患者碳水化合物限制营养干预的影响。
导言:低碳水化合物和超低碳水化合物饮食模式(包括生酮饮食)可降低 2 型糖尿病(T2D)患者的糖化血红蛋白(HbA1c)。连续血糖监测(CGM)也被证明比血糖监测(BGM)更能改善血糖结果,如血糖在范围内的时间(TIR;血糖为 70-180 mg/dL 的时间百分比)。CGM 指导下的营养干预还很少。本研究的主要目的是比较 T2D 患者在通过持续远程护理提供的医疗监督生酮饮食计划(MSKDP)期间,使用 CGM 或 BGM 指导饮食摄入和药物管理时,TIR 变化的差异。方法:IGNITE(Impact of Glucose moNitoring and nutrItion on Time in rangE)研究的参与者被随机分配使用 CGM(81 人)或 BGM(82 人)作为 MSKDP 的一部分。参与者及其护理团队使用 CGM 和 BGM 数据支持饮食选择和药物管理。在基线(Base)、第 1 个月(M1)和第 3 个月(M3)对血糖、药物使用、酮体、饮食摄入量和体重进行了评估;评估了臂和时间点之间的差异。结果平均(标准差)T2D 病程为 9.7 (7.7) 年,HbA1c 为 8.1% (1.2%)的成人(n = 163)参加了此次研究。从Base到M3,CGM的TIR改善了61%-89%,BGM的TIR改善了63%-85%(P < 0.001),两臂间的变化无差异(P = 0.26)。CGM 的其他指标在 M1 阶段也有所改善,并在 M3 阶段持续改善。从基础阶段到 M3 阶段,CGM 和 BGM 两臂的 HbA1c 均下降了≥1.5%(P < 0.001)。从基础阶段到 M3 阶段,根据用药效果评分的变化,糖尿病药物治疗的强度有所降低(P < 0.001)。总能量和碳水化合物摄入量减少(P < 0.001),两组参与者的体重均有明显下降(P < 0.001)。结论在该 MSKDP 项目中,CGM 和 BGM 两组在血糖和其他糖尿病相关结果方面都有类似且显著的改善。需要开展更多 CGM 指导下的营养干预研究。
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来源期刊
Diabetes technology & therapeutics
Diabetes technology & therapeutics 医学-内分泌学与代谢
CiteScore
10.60
自引率
14.80%
发文量
145
审稿时长
3-8 weeks
期刊介绍: Diabetes Technology & Therapeutics is the only peer-reviewed journal providing healthcare professionals with information on new devices, drugs, drug delivery systems, and software for managing patients with diabetes. This leading international journal delivers practical information and comprehensive coverage of cutting-edge technologies and therapeutics in the field, and each issue highlights new pharmacological and device developments to optimize patient care.
期刊最新文献
Impact of Continuous Glucose Monitoring Versus Blood Glucose Monitoring to Support a Carbohydrate-Restricted Nutrition Intervention in People with Type 2 Diabetes. Comparison of Computational Statistical Packages for the Analysis of Continuous Glucose Monitoring Data with a Reference Software, "Ambulatory Glucose Profile," in Type 1 Diabetes. Effect of Interrupting Prolonged Sitting with Frequent Activity Breaks on Postprandial Glycemia and Insulin Sensitivity in Adults with Type 1 Diabetes on Continuous Subcutaneous Insulin Infusion Therapy: A Randomized Crossover Pilot Trial. Evaluation of an Automated Priming Bolus for Improving Prandial Glucose Control in Full Closed Loop Delivery. Safe Options for the Treatment of Mothers and Babies with Pregestational Diabetes.
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