治疗疗效预测模型用于同时患有过敏性鼻炎和喉回流的患者
Pan Xie1, Fusen Peng1, Zhichao Xiao1
1Department of Otorhinolaryngology Head and Neck Surgery, Loudi Central Hospital, Loudi, China.
Frontiers in medicine
|February 23, 2026
概括
一个新的Nomogram模型有效地预测过敏性鼻炎 (AR) 和喉回流 (LPR) 患者的治疗反应. 这种工具有助于个性化治疗决策,以获得更好的患者结果.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 过敏 免疫学 免疫学
- 医疗信息学 医疗信息学
背景情况:
- 过敏性鼻炎 (AR) 和喉回流 (LPR) 是可以共存的常见疾病.
- 预测AR和LPR患者的治疗疗效是具有挑战性的.
- 个性化治疗策略对于最佳的患者管理至关重要.
研究的目的:
- 开发和验证AR和LPR患者治疗疗效的预测模型.
- 创建一个定量工具,以指导个性化治疗决策.
- 在这个患者群体中确定治疗反应的独立预测因子.
主要方法:
- 一组106名AR患者被分为训练 (n=73) 和验证 (n=33) 组.
- 单变量和多变量逻辑回归被用来确定独立的预测因子.
- 使用ROC曲线,校准曲线和DCA构建和验证了一个Nomogram模型.
主要成果:
- 体重指数,AR持续时间,过敏原数和血清IgE总量被确定为治疗疗效的独立预测指标.
- 诺莫格拉姆模型表现出良好的预测性能,AUC为0.809 (训练) 和0.823 (验证).
- 校准曲线表明该模型适合该模型.
结论:
- 开发的Nomogram模型准确地预测了LPR的AR患者的治疗反应.
- 这个模型可以帮助临床医生做出分层干预决策.
- 该工具支持个性化医疗方法,用于管理复杂的上呼吸道疾病.
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