在中国乌鲁木齐的2型糖尿病患者中,对高尿血的预测模型
Palizhati Abudureyimu1, Yuesheng Pang2, Lirun Huang2
1Medical Laboratory Center, First Affiliated Hospital of Xinjiang Medical University, No.137, Liyushan South Road, Xinshi District, Urumqi, 830001, China.
BMC public health
|September 7, 2023
概括
这项研究确定了2型糖尿病 (T2DM) 患者高尿血症 (HUA) 的8个独立风险因素. 开发了一个预测模型,以帮助识别有HUA风险的T2DM患者.
科学领域:
- 内分泌学 在内分泌学.
- 代谢疾病 代谢疾病
- 临床化学 临床化学
背景情况:
- 2型糖尿病 (T2DM) 患者表现出高尿素血 (HUA) 的更高患病率.
- 现有的研究缺乏确的方法来预测T2DM患者的HUA.
- 这项研究解决了在这个人群中对HUA的预测工具的需求.
研究的目的:
- 在T2DM患者中确定与HUA相关的独立风险因素.
- 开发和验证T2DM患者中HUA的预测模型.
- 为T2DM中早期HUA风险评估提供临床工具.
主要方法:
- 来自841名T2DM患者的临床数据的回顾性分析 (2017年3月 - 2019年10月).
- 利用最小绝对收缩和选择运营商 (LASSO) 和多变量后勤回归来确定风险因素.
- 开发了一个基于名录的预测模型,并使用ROC曲线和临床决策分析 (DCA) 评估了其性能.
主要成果:
- 确定了HUA的八个独立风险因素:性别,种族,血清白蛋白 (ALB),血清细胞蛋白C (CysC),血清无机 (IPHOS),性酸酶 (ALP),血清二碳酸盐 (CO2) 和高密度脂蛋白 (HDLC).
- 开发的诺莫格拉姆模型表现出良好的适应性和校准性.
- 预测模型实现了高的区分能力,曲线下的面积 (AUC) 为0.827.
结论:
- 八个关键变量被确定为T2DM患者中HUA的独立风险因素.
- 包含这些因素的验证预测模型可以帮助临床医生评估HUA风险.
- 这些发现支持开发的模型在T2DM中早期检测HUA的临床实用性.
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