建立和验证2型糖尿病中糖尿病病的诊断模型
Yuwei Xing1, Xuejiao Chai2, Kuanzhi Liu3
1Department of Endocrinology, The Second Hospital of Shijiazhuang, No. 53, Huaxi Road, Shijiazhuang, 050000, People's Republic of China. yuweixingsjz@outlook.com.
International urology and nephrology
|October 9, 2023
概括
一个新的诊断模型有效地识别了2型糖尿病 (T2DM) 患者的糖尿病病 (DN) 使用简单的,非侵入性的生物标志物. 该模型有助于早期检测和管理DN,改善患者的治疗结果.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 内分泌学 在内分泌学.
- 生物标志物发现发现
背景情况:
- 糖尿病病 (DN) 是2型糖尿病 (T2DM) 的一个重要并发症.
- 有限的研究集中在使用生物标志物的T2DM中DN的诊断模型上.
研究的目的:
- 在T2DM患者中建立DN的诊断模型.
- 为了确定DN诊断的关键生物标志物.
主要方法:
- 这是一项涉及359名T2DM患者的横截面研究.
- 拉索回归和决策树分析用于模型开发.
- 使用AUC,灵敏度,特异性,PPV和NPV进行性能评估.
主要成果:
- 199名患者 (55.43%) 被诊断患有DN.
- 确定了主要的诊断因素:年龄,血压,葡萄糖,胰岛素,MCHC,PDW,UA,SCR,FIB,INR,LDL-C.
- 该模型显示了高精度 (AUC=0.965,精度=0.903).
结论:
- 开发了一种新的,非侵入性诊断模型,用于T2DM中的DN.
- 该模型利用了简单和可访问的临床和实验室因素.
- 经过验证的风险分层进一步提高了诊断性能.
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