人工智能指导 (GenAISTM) 食补充剂处方与传统方法降低LDL胆固醇的有效性:一个随机并行组试点研究
Evgeny Pokushalov1,2, Andrey Ponomarenko1, John Smith2
1Center for New Medical Technologies, 630090 Novosibirsk, Russia.
Nutrients
|July 13, 2024
概括
由人工智能指导的食补充剂比医生指导更有效地显著降低了LDL胆固醇. 这种个性化的方法显示出管理高胆固醇和改善心血管健康的前景.
科学领域:
- 心血管健康和营养心血管健康和营养
- 人工智能在医学中的应用
- 代谢综合征研究 代谢综合征研究
背景情况:
- 个性化营养正在成为管理脂质代谢和心血管风险的关键因素.
- 人工智能 (AI) 指导的与医生指导的饮食补充剂干预措施对高胆固醇血症的比较疗效尚未得到充分证实.
研究的目的:
- 为了比较人工智能指导的食补充剂处方与医生指导的标准处方在降低低密度脂蛋白胆固醇 (LDL-C) 水平方面的有效性.
- 评估这两种干预类型对其他脂质参数和炎症标志物的影响.
主要方法:
- 一个随机的平行组试点研究,涉及70名患者 (40-75岁) 的LDL-C在70-190 mg/dL之间.
- 参与者接受了人工智能指导或医生指导的补充处方90天,以LDL-C百分比变化为主要终点.
- 二级终点包括总胆固醇,HDL-C,甘油三,hsCRP,坚持和副作用的变化.
主要成果:
- 在人工智能指导的小组,相比于医生指导的小组 (15.2%;p < 0.01),LDL-C (25.3%) 的降低明显更大.
- 在人工智能指导组 (分别为15.4%和22.1%) 与医生指导组 (分别为8.1%和12.3%;p <0.05和p <0.01) 中,总胆固醇和甘油三的降低更大.
- 在HDL-C或hsCRP变化中没有发现显著差异;副作用是最小的和可比的.
结论:
- 人工智能引导的食补充剂方案在降低LDL-C和甘油三方面比标准的医生指导更有效.
- 人工智能驱动的个性化对高胆固醇血症的管理具有重大潜力.
- 需要进一步的研究来探索AI在心血管健康的个性化营养中的长期益处和更广泛的应用.
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