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优化2型糖尿病的血糖控制:GLIDE项目个性化数字健康干预的影响

Optimizing glycemic control in type 2 diabetes: the impact of the GLIDE program's personalized digital health intervention.

作者信息

Ambesange Anand, Khomane Amit Lala, Parikh Jaymin, Aswal Devina, Gharia Mihir, Sharma Prachi, Trivedi Vishva, Maheshwari Twinkle, Mishra Astha, Bhavsar Bhavan, Athavale Vrushali

机构信息

Internal Medicine, Anand Nursing Home, Mumbai, India.

Internal Medicine, The Clinic, GM House Thane, Thane, India.

出版信息

Front Clin Diabetes Healthc. 2024 Dec 3;5:1494009. doi: 10.3389/fcdhc.2024.1494009. eCollection 2024.

DOI:10.3389/fcdhc.2024.1494009
PMID:39697818
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11653207/
Abstract

BACKGROUND

The integration of digital health applications into type 2 diabetes mellitus (T2DM) management presents promising opportunities for optimizing glycemic control, enhancing adherence, and improving health outcomes. MyTatva's Glycemic Lifestyle Intervention in Diabetes Empowerment (GLIDE) program, which integrates dietary and exercise regimens, cognitive behavioral therapy (CBT), and Internet of Things (IoT) devices, potentiates this approach. This study aimed to evaluate the effectiveness of the GLIDE program's personalized, comprehensive approach in improving glycemic control over 90 days among T2DM patients.

METHODS

During the study period, 30 diabetic patients completed their GLIDE journey with expert dieticians, physiotherapists, and behavior therapists. Each patient received a personalized root cause analysis based on lifestyle assessment and disease-specific parameters. Statistical analysis was conducted using a paired t-test on the deidentified HbA1c, FBS, and PPBS data at baseline and post-intervention.

RESULTS

Throughout the study, 27 patients actively adhered to the GLIDE program. All the parameters showed statistically significant (p<0.05) changes post-intervention. HbA1c decreased by 11.79% from 8.43% ± 1.32 to 7.44% ± 0.64. Significant reductions were observed in PPBS (47.7%), decreasing from 260.89 mg/dL ± 36.31 to 136.27 mg/dL± 6.36, compared to FBS (31.1%), which decreased from 8.43 mg/dL± 1.32 to 7.44 mg/dL± 0.64.

CONCLUSIONS

The effectiveness of the GLIDE program is based on a comprehensive root cause analysis approach. The detailed analysis of the patient's clinical journey by health experts at regular intervals enables precise goal management, resulting in expected outcomes for better glycemic control. Therefore, personalized digital health plans are vital for achieving clinically significant changes.

摘要

背景

将数字健康应用整合到2型糖尿病(T2DM)管理中,为优化血糖控制、提高依从性和改善健康结局提供了广阔前景。MyTatva的糖尿病赋权血糖生活方式干预(GLIDE)计划整合了饮食和运动方案、认知行为疗法(CBT)以及物联网(IoT)设备,强化了这种方法。本研究旨在评估GLIDE计划的个性化综合方法在改善T2DM患者90天血糖控制方面的有效性。

方法

在研究期间,30名糖尿病患者在专业营养师、物理治疗师和行为治疗师的指导下完成了他们的GLIDE之旅。每位患者都根据生活方式评估和疾病特定参数接受了个性化的根本原因分析。使用配对t检验对干预前后匿名化的糖化血红蛋白(HbA1c)、空腹血糖(FBS)和餐后血糖(PPBS)数据进行统计分析。

结果

在整个研究过程中,27名患者积极坚持GLIDE计划。所有参数在干预后均显示出具有统计学意义(p<0.05)的变化。HbA1c从8.43%±1.32降至7.44%±0.64,下降了11.79%。与FBS(下降31.1%,从8.43mg/dL±1.32降至7.44mg/dL±0.64)相比,PPBS显著降低(47.7%),从260.89mg/dL±36.31降至136.27mg/dL±6.36。

结论

GLIDE计划的有效性基于全面的根本原因分析方法。健康专家定期对患者的临床过程进行详细分析,能够实现精确的目标管理,从而带来更好的血糖控制预期结果。因此,个性化数字健康计划对于实现具有临床意义的改变至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c1/11653207/f6a3a59b47f6/fcdhc-05-1494009-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c1/11653207/23854f43521c/fcdhc-05-1494009-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c1/11653207/7a3489bbcefe/fcdhc-05-1494009-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c1/11653207/f6a3a59b47f6/fcdhc-05-1494009-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c1/11653207/23854f43521c/fcdhc-05-1494009-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c1/11653207/7a3489bbcefe/fcdhc-05-1494009-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89c1/11653207/f6a3a59b47f6/fcdhc-05-1494009-g003.jpg

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