Digital Twin in Managing Hypertension Among People With Type 2 Diabetes: 1-Year Randomized Controlled Trial
Authors' conclusion
Artificial intelligence -enabled DT technology is more effective than SC in reducing BP and anti-HTN medications and inducing HTN remission and normoalbuminuria in participants with HTN and T2D.
Study context
- Population
- Participants with T2DM in India59 on anti-HTN medications
- Participants
- 319 participants
- Comparison
- Digital twin vs standard of care
- Digital twin (DT)n = 233
- Standard of care (SC)n = 86reference
Methodological detailsHome blood pressure (BP) monitoring system guided anti-HTN medication adjustments
- Home BP monitoring system guided anti-HTN medication adjustments
Primary result
As reported in the abstract
1 year
| Group | SBP change | DBP change |
|---|---|---|
| DT | −7.6 mm Hg | −4.3 mm Hg |
| SC | −3.2 mm Hg | −2.2 mm Hg |
SBP change
DT−7.6 mm Hg
SC−3.2 mm Hg
DBP change
DT−4.3 mm Hg
SC−2.2 mm Hg
- DT vs SC: P < 0.007 — SBP
- DT vs SC: P = 0.046 — DBP
Further findings
Normotension (participants with HTN, subgroup)
P = 0.0009
HTN remission (participants with HTN, subgroup)
P < 0.0001
Normoalbuminuria · 1 year
P = 0.018
| Outcome | DT | SC |
|---|---|---|
| Remained off anti-HTN medications | 68.2% | 0 events |
Original publication
Digital Twin in Managing Hypertension Among People With Type 2 Diabetes: 1-Year Randomized Controlled Trial. JACC Adv. Published 14 August 2024. doi:10.
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