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利用数字倡议改善糖尿病管理中的健康结果:一个观察性患者计划
Bipin Sethi1, Krishna Seshadri2, Vaishali Deshmukh3
1Endocrinology, CARE Hospitals & Transplant Centre and CARE Hospitals, Outpatient Centre, Hyderabad, IND.
Cureus
|December 9, 2024
概括
在糖尿病患者中,Zyla应用程序显著改善了血糖控制,降低了HbA1c,FBS和PPG水平. 这种由人工智能驱动的工具对糖尿病管理有很大的希望,尽管需要进一步的研究.
科学领域:
- 数字健康数字健康
- 人工智能在医学中的应用
- 糖尿病管理 糖尿病管理
背景情况:
- 数字健康应用程序为糖尿病自我管理提供了潜力,但有效性的证据有限.
- 齐拉是一个基于人工智能的应用程序,为糖尿病患者提供个性化的护理管理.
- 这项研究评估了Zyla应用程序对糖尿病疾病结果的影响.
研究的目的:
- 评估Zyla应用程序在改善糖尿病管理方面的有效性.
- 了解人工智能驱动的个性化护理对关键健康参数的影响.
- 为了评估应用程序用户的血糖和脂质概况的变化.
主要方法:
- 使用Zyla应用程序 (2020) 的数据进行了回顾性观察性研究.
- 齐拉应用程序为个性化护理团队 (营养学家,理疗师,咨询师) 提供便利.
- 收集的数据包括HbA1c,FBS,PPG,血清肌素和脂质资料.
主要成果:
- 观察到HbA1c,禁食血糖 (FBS) 和食后葡萄糖 (PPG) 的显著降低 (P<0.0001).
- 三甘油 (TG) 和总胆固醇 (TC) 的显著下降;高密度胆固醇 (HDL-C) 和低密度胆固醇 (LDL-C) 的非显著变化.
- 血清肌素的数值下降,尽管在统计学上没有显著意义.
结论:
- 齐拉应用程序在糖尿病患者的血糖控制中显著改善.
- 在功能和胆固醇水平上注意到了数值的改善.
- 需要进一步的严格研究来验证医疗应用程序在印度糖尿病护理中的影响.
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