在索引内镜检查中识别耐火良性食道狭窄:创建一个预测模型
Matthew G Bell1, Jeffrey A Alexander2, Louis M Wong Kee Song2
1Division of Gastroenterology and Hepatology, Mayo Clinic, Phoenix, Arizona, USA.
Gastrointestinal endoscopy
|November 3, 2024
概括
一个新的模型预测耐火良性食道收缩 (RBESs) 使用简单的特征,如收缩的长度和直径. 这有助于早期识别需要积极治疗的患者,减少并发症和成本.
科学领域:
- 胃肠病学 胃肠病学
- 内镜检查是指内镜检查.
- 预测建模预测建模
背景情况:
- 耐火良性食道狭窄症 (RBESs) 抵抗标准扩张疗法.
- 早期识别RBES对于及时,积极的治疗至关重要,以尽量减少患者的发病率和医疗保健成本.
研究的目的:
- 开发一个预测模型,用于识别RBES在初始食道胃管腺镜 (EGD) 期间.
- 建立一个工具,以帮助在良性食道狭窄的早期治疗决策.
主要方法:
- 在梅奥诊所罗切斯特接受EGD扩张的患者的回顾性分析.
- 包括已知RBESs的队列,通过自我扩张管理.
- 排除了恶性狭窄,沙茨基环和以前治疗过的狭窄.
- RBES的定义是无法在5次扩张疗程中保持≥14毫米直径.
- 开发多变量逻辑回归模型来预测RBES.
主要成果:
- 开发了一个具有0.85c统计值的预测模型.
- RBES的主要预测指标包括收缩长度≥2厘米,直径≤7毫米,以及近距离或扩散位置.
- 患RBES的风险在没有风险因素的患者中为2%,在所有三种风险因素的患者中为73%.
结论:
- 在初始EGD期间识别的结特征可以预测RBESs的风险.
- 使用可访问的风险因素的验证预测模型可以指导个性化治疗策略.
- 这种方法可能会减少患有良性食道狭窄的患者的发病率和医疗费用.
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