综合性诊断模型结合尿路生物标志物和临床参数,以改善间歇性囊炎/膀疼痛综合征的诊断性能
Yu-Chen Chen1,2,3, Jing-Hui Tian4, Hann-Chorng Kuo4
1Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
European urology open science
|December 1, 2025
概括
结合尿路生物标志物和疼痛评分的新诊断模型准确地识别了间歇性囊炎/膀疼痛综合征 (IC/BPS). 这种非侵入性方法提供了一种更客观,更为患者友好的方法,用于更早,更有信心的IC / BPS诊断.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 生物标志物发现发现
- 诊断医学 诊断医学 诊断医学
背景情况:
- 间歇性囊炎/膀疼痛综合征 (IC/BPS) 呈现出诊断上的挑战,原因是症状与其他泌尿病状况重叠.
- 目前IC/BPS的诊断方法往往是主观的,缺乏一致性.
- 需要客观的,非侵入性的工具来改善IC/BPS诊断.
研究的目的:
- 开发和验证IC/BPS的多变量诊断预测模型.
- 通过整合尿路生物标志物和临床参数来提高诊断准确度.
- 为IC/BPS建立一个更客观,更为患者友好的诊断方法.
主要方法:
- 分析了385名参与者的数据 (344名IC/BPS患者,41名对照).
- 测量尿路炎症性细胞因子和氧化应激标志物 (例如,8-基-2'-脱氧氨素[8-OHdG]).
- 使用后勤回归进行诊断模型的开发,其中包括膀疼痛等临床参数 (视觉模拟尺度[VAS]).
主要成果:
- 个体尿液中的8-OHdG显示出高的区分能力 (AUROC=0.838).
- 一个两标记模型 (8-OHdG,TNF-α) 在测试中达到0.952的AUROC.
- 一个整合模型 (8-OHdG,TNF-α,VAS) 证明了接近完美的性能 (AUROC=0.997) 准确率为96%.
结论:
- 结合尿路生物标志物和临床疼痛评分的综合性,非侵入性诊断模型显示了IC/BPS的优异性能.
- 该模型提供了一个可扩展,客观和患者友好的替代入侵性诊断程序.
- 将生物标志物纳入临床评估可以促进临床实践中更早,更准确的IC/BPS诊断.
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