在患有2型糖尿病的老年患者中,开发和验证轻度认知障碍的风险预测模型
Qian Yu1, Xing Jiang1, Jiarong Yan1
1Postgraduate student, Department of Nursing, Jinzhou Medical University, Jinzhou 121001, Liaoning, China.
概括
一个新的名图准确地预测了2型糖尿病 (T2DM) 的老年人轻度认知障碍 (MCI). 年龄,吸烟和抑郁等因素是早期检测和干预的关键指标.
科学领域:
- 老年学是一门学科.
- 内分泌学 在内分泌学.
- 神经学 神经学
背景情况:
- 轻度认知障碍 (MCI) 的患病率在患有2型糖尿病 (T2DM) 的老年人中正在上升.
- 在这个人口群体中早期发现MCI对于及时干预至关重要.
- 2型糖尿病越来越被认为是认知能力下降的危险因素.
研究的目的:
- 开发和验证T2DM老年人中MCI的预测性名录模型.
- 在这个人群中确定与MCI相关的关键预测因素.
- 为MCI的临床查提供一个实用的工具.
主要方法:
- 这是一项涉及530名患有T2DM的老年人的横截面研究.
- 数据收集包括社会人口统计,T2DM因素,抑郁症和社会支持.
- LASSO和后勤回归分析用于模型开发和预测器选择.
主要成果:
- 纳米图包括年龄,吸烟,体力活动,社会支持,抑郁症,独自生活和糖化血红蛋白.
- 培训和验证组的曲线下的面积 (AUC) 分别为0.914和0.859.
- 决策曲线分析 (DCA) 显示了名图的良好的临床适用性.
结论:
- 开发的名图表显示了预测MCI的令人满意的准确性和区别.
- 诺米图是一个直观且易于应用的工具,用于检测T2DM老年患者的MCI.
- 这个工具可以帮助医疗保健提供者识别有风险的个人进行进一步的认知评估.
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