Cited by 3Diabetes Management and ResearchMobile Health and mHealth ApplicationsRetinal Diseases and Treatments

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1811-LB: Improvement in Diabetic Retinopathy and Achieving Remission of Type 2 Diabetes Mellitus through Digital Twin Technology—A One-Year Intervention Study

Abstract

Introduction and Objectives: Digital twin (DT) platform uses Artificial Intelligence (AI) and Internet of Things, to integrate multi-dimensional data to give precision nutrition and health recommendations via the mobile app and by coaches. Remission was defined as A1C levels less than 6.5% without medication for over 3 months. Status of diabetic retinopathy (DR) was assessed in patients on DT platform. Methods: We monitored 181 T2DM patients, across 4 centers, for remission of T2DM, assessing changes in DR and HbA1c levels, with a focus on participants with initial DR. Validated handheld fundus camera facilitated retinal imaging. Statistical analysis, including the Pearson correlation coefficient, explored the link between HbA1c levels and DR progression or regression. Results: Mean age, duration of diabetes, were 44 years (±8.6) and 3.7 years (±2.7). Mean HbA1c decrease was 3.03 (8.9% to 5.8), indicating significant glycemic control improvements from baseline to Day 360. 75.69% of the participants (n=137) achieved remission. Among those initially diagnosed with DR (n=16), 43.75% (n=7) showed regression, with no evidence of DR. 55.25% of the participants (n=100), continued, with absence of the evidence of DR. There was a weak negative correlation between remission of T2DM and retinopathy reversal (r=-0.0867) which indicates that remission of T2DM might not be a strong predictor of retinopathy improvement. Conclusion: DT which leads to remission of T2DM has potential for regressing diabetic retinopathy in a significant subset of patients. The remarkable percentage of individuals moving from DR to absence of DR emphasizes the potential for positive retinopathy outcomes. However, the minimal correlation with remission of T2DM suggests the importance of comprehensive diabetic care strategies, extending beyond glycemic management to include specific retinopathy interventions. Disclosure: S. Joshi: None. M. Dharmalingam: None. A. Vadavi: None. A. Keshavamurthy: None. S. Bhonsley: None. L. Shah: Employee; Twin Health. M. Panandikar: None. P. Shamanna: None.

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Crossref · 10.2337/db24-1811-lb

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Metadata

Authors
JOSHI, S., DHARMALINGAM, M., VADAVI, A., KESHAVAMURTHY, A., BHONSLEY, S., MOHAMED, M., SHAH, L., THAJUDEEN, M., PANANDIKAR, M., & SHAMANNA, P.
Affiliations
Bangalore, India, Chennai, India, Mountain View, CA, Mumbai, India
Venue
Diabetes
Published
2024-06-14
Volume
73
Issue
Supplement_1
ISSN
0012-1797 (ISSN-L)
OpenAlex
W4399685005
Cited by
3
References
0
Citations by year
2026: 1 · 2024: 2
FWCI
0.99
Type
journal article
Language
en
Open access
closed
Locations
Diabetes (publishedVersion)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Ophthalmology › Retinal Diseases and Treatments
Keywords
diabetic retinopathy, type 2 diabetes, diabetes remission, digital twin, glycemic control, HbA1c, retinopathy regression, personalized nutrition, retinal imaging, artificial intelligence, Internet of Things, diabetes self-management interventions

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