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FRI655 Impact Of Digital Twin Intervention On Visceral Fat And Glycemic Control In T2dm With Different Levels Of Visceral Fat
Disclosure: S.R. Joshi: None. J. Mohammed: None. M. Mohamed: None. T. Poon: None. M. Dharmalingam: None. B. Saboo: None. S. Damodharan: None. A. Vadavi: None. M. Thajudeen: None. A. Keshavamurthy: None. S. Bhonsley: None. B. R: None. P. Shamanna: None. Background and Aims: The aim was to study the e...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10554017/ http://dx.doi.org/10.1210/jendso/bvad114.874 |
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author | Rameshchandra Joshi, Shashank Mohammed, Jahangir Mohamed, Maluk Poon, Terrence Dharmalingam, Mala Saboo, Banshi Damodharan, Suresh Vadavi, Arun Thajudeen, Mohamed Keshavamurthy, Ashok Bhonsley, Suchitra R, Balasubramaniam Shamanna, Paramesh |
author_facet | Rameshchandra Joshi, Shashank Mohammed, Jahangir Mohamed, Maluk Poon, Terrence Dharmalingam, Mala Saboo, Banshi Damodharan, Suresh Vadavi, Arun Thajudeen, Mohamed Keshavamurthy, Ashok Bhonsley, Suchitra R, Balasubramaniam Shamanna, Paramesh |
author_sort | Rameshchandra Joshi, Shashank |
collection | PubMed |
description | Disclosure: S.R. Joshi: None. J. Mohammed: None. M. Mohamed: None. T. Poon: None. M. Dharmalingam: None. B. Saboo: None. S. Damodharan: None. A. Vadavi: None. M. Thajudeen: None. A. Keshavamurthy: None. S. Bhonsley: None. B. R: None. P. Shamanna: None. Background and Aims: The aim was to study the effect of a personalized diet using the Digital Twin (DT) on the concurrent effect on visceral fat and glycemic control through CGM parameters. The personalized food recommendations were provided through the mobile app. Materials and methods: DT uses a machine learning algorithm to integrate clinical and sensor data. USFDA approved Powermax BCA-130 Bluetooth Smart Scale, was used for assessment. Results: Visceral fat data was categorised as three levels (normal 1 to 9%; high 10 to 14% and very high 15 to 30%). At baseline 94 (46.3%) had normal level of visceral fat, 80 (39.4%) had high and 29 (14.3%) had very high level of visceral fat. The study participants included 75 individuals with visceral fat % levels shifting from high (11.7+1.4) to normal (8.8+1.0) (p<0.001), 12 from very high (17.2+2.2) to high (14.0+0.0) (p<0.001) and 11 from very high (18.4+5.9) to normal (8.4+0.9) (p<0.001). DT led to a significant reduction in visceral fat levels in all three levels from baseline. DT also resulted in improved glycemic control. The group shifting from very high to high visceral fat levels experienced the most significant improvement, with a decrease in the mean glucose levels from 213.0+62.4 to 93.0+12.1mg/dl (p<0.001) and eA1C from 9.2+2.2% to 5.0+0.4% (p<0.001). The group shifting from high to normal visceral fat levels also experienced a significant decrease in mean glucose levels from 170.9+65.1 to 85.2+25.6 mg/dl (p<0.001) and eA1C levels from 7.7+2.3% to 4.7+1.0% (p<0.001). The group shifting from very high to normal visceral fat levels also experienced a significant decrease in mean glucose levels from 137.5+46.8 to 81.4+15.9 mg/dl (p<0.002) mg/dl and eA1C levels from 6.5+1.7% to 4.5+0.6% (p<0.002). DT resulted in significant improvement in TIR. The group shifting from very high to high visceral fat levels showed the most substantial improvement, with an increase in TIR from 40.7+35.1% to 88.9+18.8% (p=0.001). The group shifting from high to normal visceral fat levels also experienced a significant improvement, with an increase in TIR from 56.7+13.9% to 75.7+26.9% (p<0.001). The group shifting from very high to normal visceral fat levels had a change in TIR from 72.6+27.7% to 72.5+30.6% (p=0.995). Conclusion: Personalized diet interventions using DT technology can effectively reduce visceral fat levels and improve glycemic control in T2DM with varying degrees of visceral fat levels. Presentation: Friday, June 16, 2023 |
format | Online Article Text |
id | pubmed-10554017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105540172023-10-06 FRI655 Impact Of Digital Twin Intervention On Visceral Fat And Glycemic Control In T2dm With Different Levels Of Visceral Fat Rameshchandra Joshi, Shashank Mohammed, Jahangir Mohamed, Maluk Poon, Terrence Dharmalingam, Mala Saboo, Banshi Damodharan, Suresh Vadavi, Arun Thajudeen, Mohamed Keshavamurthy, Ashok Bhonsley, Suchitra R, Balasubramaniam Shamanna, Paramesh J Endocr Soc Diabetes And Glucose Metabolism Disclosure: S.R. Joshi: None. J. Mohammed: None. M. Mohamed: None. T. Poon: None. M. Dharmalingam: None. B. Saboo: None. S. Damodharan: None. A. Vadavi: None. M. Thajudeen: None. A. Keshavamurthy: None. S. Bhonsley: None. B. R: None. P. Shamanna: None. Background and Aims: The aim was to study the effect of a personalized diet using the Digital Twin (DT) on the concurrent effect on visceral fat and glycemic control through CGM parameters. The personalized food recommendations were provided through the mobile app. Materials and methods: DT uses a machine learning algorithm to integrate clinical and sensor data. USFDA approved Powermax BCA-130 Bluetooth Smart Scale, was used for assessment. Results: Visceral fat data was categorised as three levels (normal 1 to 9%; high 10 to 14% and very high 15 to 30%). At baseline 94 (46.3%) had normal level of visceral fat, 80 (39.4%) had high and 29 (14.3%) had very high level of visceral fat. The study participants included 75 individuals with visceral fat % levels shifting from high (11.7+1.4) to normal (8.8+1.0) (p<0.001), 12 from very high (17.2+2.2) to high (14.0+0.0) (p<0.001) and 11 from very high (18.4+5.9) to normal (8.4+0.9) (p<0.001). DT led to a significant reduction in visceral fat levels in all three levels from baseline. DT also resulted in improved glycemic control. The group shifting from very high to high visceral fat levels experienced the most significant improvement, with a decrease in the mean glucose levels from 213.0+62.4 to 93.0+12.1mg/dl (p<0.001) and eA1C from 9.2+2.2% to 5.0+0.4% (p<0.001). The group shifting from high to normal visceral fat levels also experienced a significant decrease in mean glucose levels from 170.9+65.1 to 85.2+25.6 mg/dl (p<0.001) and eA1C levels from 7.7+2.3% to 4.7+1.0% (p<0.001). The group shifting from very high to normal visceral fat levels also experienced a significant decrease in mean glucose levels from 137.5+46.8 to 81.4+15.9 mg/dl (p<0.002) mg/dl and eA1C levels from 6.5+1.7% to 4.5+0.6% (p<0.002). DT resulted in significant improvement in TIR. The group shifting from very high to high visceral fat levels showed the most substantial improvement, with an increase in TIR from 40.7+35.1% to 88.9+18.8% (p=0.001). The group shifting from high to normal visceral fat levels also experienced a significant improvement, with an increase in TIR from 56.7+13.9% to 75.7+26.9% (p<0.001). The group shifting from very high to normal visceral fat levels had a change in TIR from 72.6+27.7% to 72.5+30.6% (p=0.995). Conclusion: Personalized diet interventions using DT technology can effectively reduce visceral fat levels and improve glycemic control in T2DM with varying degrees of visceral fat levels. Presentation: Friday, June 16, 2023 Oxford University Press 2023-10-05 /pmc/articles/PMC10554017/ http://dx.doi.org/10.1210/jendso/bvad114.874 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Diabetes And Glucose Metabolism Rameshchandra Joshi, Shashank Mohammed, Jahangir Mohamed, Maluk Poon, Terrence Dharmalingam, Mala Saboo, Banshi Damodharan, Suresh Vadavi, Arun Thajudeen, Mohamed Keshavamurthy, Ashok Bhonsley, Suchitra R, Balasubramaniam Shamanna, Paramesh FRI655 Impact Of Digital Twin Intervention On Visceral Fat And Glycemic Control In T2dm With Different Levels Of Visceral Fat |
title | FRI655 Impact Of Digital Twin Intervention On Visceral Fat And Glycemic Control In T2dm With Different Levels Of Visceral Fat |
title_full | FRI655 Impact Of Digital Twin Intervention On Visceral Fat And Glycemic Control In T2dm With Different Levels Of Visceral Fat |
title_fullStr | FRI655 Impact Of Digital Twin Intervention On Visceral Fat And Glycemic Control In T2dm With Different Levels Of Visceral Fat |
title_full_unstemmed | FRI655 Impact Of Digital Twin Intervention On Visceral Fat And Glycemic Control In T2dm With Different Levels Of Visceral Fat |
title_short | FRI655 Impact Of Digital Twin Intervention On Visceral Fat And Glycemic Control In T2dm With Different Levels Of Visceral Fat |
title_sort | fri655 impact of digital twin intervention on visceral fat and glycemic control in t2dm with different levels of visceral fat |
topic | Diabetes And Glucose Metabolism |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10554017/ http://dx.doi.org/10.1210/jendso/bvad114.874 |
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