集群CRSwNP患者以根据临床特征预测不受控制的结果.
Ying Chen1,2,3,4,5, Jianwei Wang2,3,4,5, Yu Zhang2,3,4,5
1Second Clinical Medicine College, Binzhou Medical University, Yantai, China.
Allergy, asthma & immunology research
|October 4, 2025
概括
一种使用CT得分,乙酸细胞计数和年龄的新预测模型有助于识别患有鼻息肉 (CRSwNP) 无控慢性鼻炎的患者. 这有助于为更好的结果量身定制治疗.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 免疫学 免疫学 免疫学
- 医疗成像医学成像
背景情况:
- 具有鼻息肉的慢性鼻炎 (CRSwNP) 呈现出显著的异质性.
- 许多CRSwNP患者对当前的医疗和手术治疗反应不佳,导致疾病失控.
- 准确识别可能患有不受控制的CRSwNP的患者是具有挑战性的.
研究的目的:
- 开发一种有效的预测程序,用于识别不受控制的CRSwNP.
- 利用临床特征来预测CRSwNP患者的治疗结果.
主要方法:
- 对952名成年CRSwNP患者的临床数据进行了决策树分析.
- 随访时不受控制的结果被定义为积极的预测事件.
- 确定的关键分类指标是计算断层扫描 (CT) 总得分,年龄,以及组织和血液中氨基酸细胞计数.
主要成果:
- 对于CRSwNP不受控制的比率,建立了一个6集群预测模型,范围从2.75%到38.27%.
- 集群分析揭示了基于CT得分,年龄和氨基酸水平的不同患者个人资料.
- 术后症状因集群而异,鼻塞,鼻/鼻后滴水和嗅觉功能障碍在特定群体中突出.
结论:
- 一个结合CT得分,乙素计数和年龄的决策树模型有效地预测了不受控制的CRSwNP.
- 这种预测程序可以指导临床医生识别需要更密集的管理策略的患者.
- 这些发现支持基于特定临床指标的更个性化的CRSwNP治疗方法.
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