Neurogastroenterol Motil. 2013 Aug;25(8):633-7. doi: 10.1111/nmo.12164. Epub 2013 May 30.
Ambulatory reflux monitoring provides information on the quantity of gastroesophageal reflux and, if symptoms are registered during the study, provides insights into the relation between symptoms and reflux. Several symptom-reflux association analysis indices have been developed to express the relationship between onset of symptom and reflux in a numerical way. One of these indices is the binomial symptom index, introduced by Ghillebert et al. in 1990. The binomial symptom index can be used to study the relationship between symptoms and acid reflux. In this issue of Neurogastroenterology and Motility Barriga-Rivera et al. describe the use of Monte Carlo simulations to investigate the effect of random changes in reflux rates and symptom occurrences on binomial symptom index outcome. Their analysis shows that this index can be used to measure the strength of reflux symptom association. Performing symptom-reflux association analysis is important as the outcome has been shown to be reproducible and can be used as a predictor to response to acid-suppressive treatment. Despite some limitations, use of symptom-reflux association analysis is a valuable clinical tool that can provide unique insights into the cause of a patient's symptoms.
动态反流监测可提供胃食管反流的数量信息，如果在研究过程中记录到症状，则可深入了解症状与反流之间的关系。已经开发出了几种症状-反流关联分析指标，以数值方式表达症状与反流之间的关系。其中一个指标是由 Ghillebert 等人于 1990 年引入的二项式症状指数。二项式症状指数可用于研究症状与酸反流之间的关系。在本期《神经胃肠病学和动力》中，Barriga-Rivera 等人描述了使用蒙特卡罗模拟来研究反流率和症状发生的随机变化对二项式症状指数结果的影响。他们的分析表明，该指数可用于衡量反流症状关联的强度。进行症状-反流关联分析很重要，因为研究结果表明其具有可重复性，并且可用作酸抑制治疗反应的预测指标。尽管存在一些局限性，但症状-反流关联分析的使用是一种有价值的临床工具，可以提供对患者症状病因的独特见解。
