在2型糖尿病患者中管理高血压的数字双胞胎:为期1年的随机对照试验
Paramesh Shamanna1, Shashank Joshi2, Mala Dharmalingam3
1Department of Diabetes, Bangalore Diabetes Centre, Bangalore, Karnataka, India.
JACC. Advances
|October 7, 2024
概括
数字双胞胎 (DT) 技术显著降低了2型糖尿病患者的血压和抗高血压药物需求. 与标准护理相比,这种人工智能支持的方法还改善了高血压缓解和减少了小蛋白尿症.
科学领域:
- 生物医学工程 生物医学工程
- 医疗保健中的人工智能
- 代谢疾病 代谢疾病
背景情况:
- 数字双胞胎 (DT) 导向的生活方式干预措施在实现2型糖尿病 (T2D) 缓解方面显示出希望.
- 在T2D患者中,DT技术对高血压 (HTN) 的影响仍然在很大程度上未被研究.
研究的目的:
- 评估DT指导干预与标准护理 (SC) 在控制血压 (BP) 中的有效性.
- 评估对抗高血压药物的使用,HTN缓解率和T2D患者的微专尿的影响.
主要方法:
- 在印度的一项随机对照试验中,对319名患有T2D的参与者进行了二次分析.
- 参与者被随机分配到人工智能支持的DT组 (N=233) 或SC组 (N=86).
- 主页 血压监测指导抗高血压药物调整,随后对血压,药物使用,HTN缓解和微专尿进行比较.
主要成果:
- 与SC组相比,DT组在一年后显著降低了心压 (-7.6vs-3.2mmHg) 和心压 (-4.3vs-2.2mmHg) 的血压.
- 与SC组 (0%) 相比,DT组中更高比例的 (68.2%) 没有服用抗高血压药物.
- 与SC小组相比,DT小组实现了显著更高的正常血压 (40.9%与6.7%) 和高血压缓解率 (50%与0%),以及改善的正常蛋白尿率 (92.4%与83.1%) .
结论:
- 人工智能支持的DT技术在降低T2D患者的血压和抗高血压药物需求方面比标准护理更有效.
- 在患有HTN和T2D同时存在的个体中,DT干预显著改善了高血压缓解率和正常蛋白尿.
- 这些发现支持使用人工智能驱动的DTs作为用于逆转糖尿病和管理相关并发症的精确治疗策略.
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