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REMISSION OF HYPERTENSION AT SIX MONTHS OF WHOLE BODY DIGITAL TWIN TECHNOLOGY
Abstract
Objective: Twin Precision Treatment (TPT) is a novel Whole-Body Digital Twin (WBDT) enabled precision nutrition which has been shown to reverse diabetes, that uses AI and the Internet of Things, to integrate multidimensional data, from non-invasive sensors, to give precision nutrition and health recommendations via the TPT app and by coaches Design and method: We conducted a pilot, prospective randomized trial (n = 20) to evaluate the impact of TPT on the blood pressure in hypertensives. Remission of hypertension was defined as conversion to normotensive status (SBP < 140mmHg and DBP < 90mmHg and no use of antihypertensive medication) at the follow-up visit. We did not enroll people with diabetes. Results: Mean age 49 years (±7.9, 95% CI 45 to 52). There were 12 males and 8 females. There was a significant change at 6 months in the SBP (mmHg) 140.2±15.8 reduced to 127.1±8.3, decrease by 13.1, p = 0.02, DBP 94.7±11.7 reduced to 86.8±6.4, decrease by 8, p = 0.014, body weight (kg) 83.4±17.2 reduced to 73±14.9, decrease by 10, p<0.001, BMI (kg/m 2) 30.9±4.8 reduced to 26.7±3.9, decrease by 4.2, p<0.001 and waist circumference (cm) 103.8±13 reduced to 94.1±11.4, decrease by 9.7, p<0.001. There were 12 patients who discontinued the medications that were needed to manage hypertension, with a remission rate of 60% (12/20). Conclusions: Our initial results of the pilot, prospective study demonstrate that TPT has the potential to induce remission of hypertension at six months. However, the continuity of this study in terms of a larger number of patients and longer duration will further provide insights into the consistency and the scalability of the novel TPT to achieve remission of hypertension.
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Twelve patients discontinued medications needed to manage hypertension, achieving a remission rate of 60%.
“Additionally, twelve patients discontinued medications needed to manage hypertension, achieving a remission rate of 60% (19).”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [19]
The DT technology's success in managing T2D, MAFLD, hypertension, and complications like diabetic neuropathy and retinopathy is particularly noteworthy.
“The DT technology’s success in managing T2D (18), MAFLD (18), hypertension (19), and complications like diabetic neuropathy (23) and retinopathy (24) is particularly noteworthy.”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [19]
In the DT group over six months, systolic blood pressure (SBP) reduced from 140.2 ± 15.8 to 127.1 ± 8.3 mmHg (P=0.02) and diastolic blood pressure (DBP) from 94.7 ± 11.7 to 86.8 ± 6.4 mmHg (P=0.014).
“There was a notable reduction in systolic blood pressure (SBP) from 140.2 ± 15.8 to 127.1 ± 8.3 mmHg (P=0.02) and diastolic blood pressure (DBP) from 94.7 ± 11.7 to 86.8 ± 6.4 mmHg (P=0.014) in the DT group over six months (19).”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [19]
Hypertension remission was notable, with 60% of participants able to discontinue their medications.
“Hypertension remission was particularly notable, with 60% of participants able to discontinue their medications (19).”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [19]
DT technology has significant cardiovascular benefits.
“DT technology has shown significant cardiovascular benefits as well.”
From Personalized nutrition in type 2 diabetes remission: application of digital twin technology for predictive glycemic control (2024) · cites this paper as [19]
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Shamanna, P., Joshi, S., Thajudeen, M., Shah, L., Poon, T., Mohamed, M., & Mohammed, J. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1485464 · Cited by 56
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Metadata
- Authors
- Paramesh, S., Mohammed, J., Mohamed, M., Poon, T., Thajudeen, M., Keshavamurthy, A., K, R., Patil, S., & Joshi, S.
- Affiliations
- Bangalore Diabetes Centre, Bangalore, INDIA
- Twin Health Inc, Mountain View, CA, USA
- Twin Health, Bangalore, INDIA
- Lilavati Hospital & Research Centre (IN)
- ORCID
- Joshi, Shashank
- Venue
- Journal of Hypertension
- Published
- 2023-06
- Volume
- 41
- Issue
- Suppl 3
- Pages
- e122
- ISSN
- 0263-6352 (ISSN-L)
- 1473-5598
- OpenAlex
- W4379798109
- Cited by
- 3
- References
- 0
- Citations by year
- 2025: 1 · 2024: 2
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- Journal of Hypertension (publishedVersion)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Nursing › Nutrition and Dietetics › Sodium Intake and Health
- Keywords
- personalized nutrition, blood pressure reduction, non-invasive sensors, Internet of Things, antihypertensive medication discontinuation, weight loss, body mass index, waist circumference
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