在胃食道逆流病中异常酸性逆流的预测模型
Michiko Sonoda1, Tomoaki Matsumura1, Hang Viet Dao2,3
1Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba, Japan.
Journal of gastroenterology and hepatology
|May 15, 2024
概括
一个新的评分系统预测了胃食道逆流症 (GERD) 患者异常食道酸暴露时间 (AET). 该模型使用男性性别,Hill等级和收缩整数来指导GERD诊断和治疗策略.
科学领域:
- 胃肠病学 胃肠病学
- 诊断医学 诊断医学 诊断医学
背景情况:
- 胃食道逆流性疾病 (GERD) 的诊断依赖于食道酸暴露时间 (AET) 的测量.
- 目前的黄金标准,多通道内阻抗-pH (MII-pH) 测试,对于患者来说是侵入性的和不舒服的.
研究的目的:
- 确定影响AET的因素.
- 在MII-pH测试之前开发AET异常的预测评分模型.
- 为了减少与诊断程序相关的患者不适.
主要方法:
- 分析了一组255名患有MII-pH,食管胃管腺镜和高分辨率计量数据的患者队列.
- 在导出队列中,物流回归确定了AET> 6%的风险因素.
- 一个预测得分系统被开发和验证在一个单独的队列.
主要成果:
- 预测模型结合了男性性别,希尔等级III-IV和弱平均远距离收缩整数.
- 患者被分为低 (0分,6%AET> 6%),中等 (1-3分,34%AET> 6%) 和高 (4分,100%AET> 6%) 的风险组.
- 得分<1显示高负预测值 (93.8%导出,80.0%验证) 排除异常AET.
结论:
- 成功开发了一种外部验证的异常AET预测模型.
- 这种评分系统可以帮助选择适当的GERD诊断和治疗策略.
- 该模型提供了一种非侵入性的方法来评估异常AET的可能性.
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