开发基于血清乳酸盐水平的诺姆图,用于预测2型糖尿病患者糖尿病病的糖尿病病
Chunxia Jiang1,2,3,4, Xiumei Ma1,2,3,4, Jiao Chen2,3,4,5
1Dr. Neher's Biophysics Laboratory for Innovative Drug Discovery, State Key Laboratory of Quality Research in Chinese Medicine, Faculty of Chinese Medicine, Macau University of Science and Technology, Macao, People's Republic of China.
与传统因素相结合的血清乳酸水平有效预测2型糖尿病患者的糖尿病病 (DKD). 这些名图有助于早期风险评估和针对T2DM并发症进行个性化干预.
科学领域:
- 内分泌学 在内分泌学.
- 腎臟病學 (nephrology) 是一種醫學.
- 生物化学 生物化学
背景情况:
- 糖尿病病 (DKD) 是2型糖尿病 (T2DM) 的一个主要并发症.
- 传统的DKD风险因素并不能完全捕捉所有T2DM患者的疾病进展.
- 血清乳酸水平升高可能表明与DKD病变发生相关的代谢障碍.
研究的目的:
- 开发和验证用于预测T2DM患者的DKD风险的诺米克图模型.
- 将血清乳酸水平与已确定的风险因素结合起来,以提高DKD预测.
- 评估这些新型名ograms的预测性能.
主要方法:
- 对570名T2DM患者和100名健康对照者的回顾性分析.
- 后勤回归分析以确定DKD的独立预测因子.
- 使用AUC,校准曲线和决策曲线分析 (DCA) 构建和验证名ograms.
- 将T2DM患者分为正常和高血清乳酸盐群的分层.
主要成果:
- 二型糖尿病患者的血清乳酸水平明显高于健康人群.
- 在正常和高乳糖组之间,DKD的独立预测因素有所不同:葡萄糖,血小板,尿酸,肌素和高血压 (正常乳糖);糖尿病持续时间,肌素,总胆固醇和高血压 (高乳糖).
- 诺姆图表显示出很好的预测准确度,AUC为0.834 (正常乳酸) 和0.741 (高乳酸).
- 校准曲线显示出极好的模型匹配,DCA证实了临床实用性.
结论:
- 基于血清乳酸水平的诺米图,结合传统的风险因素,为T2DM的DKD预测提供了有效的工具.
- 这些模型有助于早期风险分层和个性化管理策略,为T2DM患有DKD风险的患者.
- 乳酸水平的整合为了解和管理DKD提供了一种新的方法.
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