在系统性红斑狼患者中开发和验证末期病预测模型
Qiang Xu1, Rui Liang2, Jiesi Luo3,4
1Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, Sichuan, China.
Rheumatology international
|August 21, 2024
概括
这项研究开发了一种预测模型和名谱,用于评估系统性红斑狼 (SLE) 患者的末期病 (ESRD) 风险. 该模型显示了在SLE患者中ESRD的强有力的预测能力.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 类风湿病学 类风湿病学
- 医疗信息学 医疗信息学
背景情况:
- 系统性红斑狼 (SLE) 是一种复杂的自身免疫性疾病,严重影响脏.
- 末期病 (ESRD) 是SLE的严重并发症,需要有效的风险预测.
- 目前在SLE患者中对ESRD的风险分层需要加强.
研究的目的:
- 开发和验证用于估计SLE患者ESRD风险的预测模型和名谱.
- 确定与SLE中ESRD发展相关的关键临床和实验室变量.
- 为早期风险评估和临床决策提供一个工具.
主要方法:
- 从SLE患者的电子健康记录的回顾性分析 (2013-2023年).
- 使用逻辑回归 (单向,拉索) 和多因素逻辑回归的变量选择.
- 使用ROC,校准和DCA曲线进行名图构造和性能评估.
主要成果:
- 在SLE中ESRD的关键预测因素包括抗GP210抗体,蛋白尿,肌氨酸升高和膜过率降低.
- 诺米图表表现出良好的预测性能,AUC为0.886 (训练) 和0.840 (测试).
- 该模型在风险评估中显示出显著的临床适用性和益处.
结论:
- 开发的诺米图是预测SLE患者ESRD风险的宝贵工具.
- 这个模型可以帮助临床医生识别高风险个体,以便及时进行干预.
- 需要在不同的群体中进行进一步的验证,以确认可通用性.
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