开发和验证一种风险评估工具,用于在印度南卡纳塔克州的患者中对不受控制的2型糖尿病的风险评估
Deepak Anil1, Sunil Kumar Doddaiah1, Rajendra Prasad Shivaswamy2
1Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
一个名为"糖尿病护理"的新工具有助于识别患有不受控制的2型糖尿病 (T2DM) 风险的个人. 这种非侵入性方法有助于早期检测,以更好地管理印度南部的糖尿病.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 2型糖尿病 (T2DM) 是一种慢性疾病,具有严重的并发症,通常与遗传倾向的个体的生活方式因素有关.
- 识别未经控制的T2DM患者对于及时干预和预防长期健康问题至关重要.
研究的目的:
- 开发一种非侵入性,可访问的风险评估工具,用于识别印度南部不受控制的T2DM患者.
- 为南卡纳塔克州的人口量身定制的风险评分.
主要方法:
- 一项探索性研究涉及545名T2DM患者在南印度的迈苏鲁,超过六个月.
- 使用预先验证的问卷收集数据.
- 通过单变量和多变量逻辑回归分析开发风险得分,并使用接收器操作特征 (ROC) 曲线和曲线下的面积 (AUC) 进行评估.
主要成果:
- 在参与者中,失控糖尿病的患病率为59.9%.
- 与失控糖尿病显著相关的因素包括身体活动,糖尿病的持续时间,糖尿病饮食,定期健康检查,高血压史,吸烟和酒精消费 (p<0.05).
- 开发的风险评估模型实现了0.726的AUC,具有中度灵敏度 (71.3%) 和特异性 (61%),截止值>13.50.
结论:
- 开发了一个简单的,基于网络的工具,名为"糖尿病护理".
- 这种非侵入性和廉价的工具可以识别患有失控T2DM风险的个体.
- 该工具旨在促进在目标人群中早期识别和管理T2DM.
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