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在接受质子泵抑制剂治疗的胃食管反流病患者中,烧心严重程度可预测病理性食管反流。

Heartburn severity can predict pathologic oesophageal reflux in gastro-oesophageal reflux disease patients treated with a proton-pump inhibitor.

作者信息

Gardner J D, Sloan S, Robinson M, Miner P B

机构信息

Science for Organizations, Inc., Chatham, New Jersey 07928, USA.

出版信息

Aliment Pharmacol Ther. 2003 Jul 1;18(1):133-40. doi: 10.1046/j.1365-2036.2003.01644.x.

Abstract

BACKGROUND

In gastro-oesophageal reflux disease (GERD) subjects treated with a gastric anti-secretory agent, it is not known whether there is a relationship between heartburn severity and oesophageal acid exposure.

METHODS

Oesophageal pH and heartburn severity were determined in 27 GERD subjects at baseline and on days 1, 2 and 8 of treatment with 20 mg omeprazole or 20 mg rabeprazole in a randomized, two-way crossover fashion.

RESULTS

Receiver operating characteristic (ROC) analysis was used to determine values for heartburn severity that gave optimal cut-off points for distinguishing between normal and pathologic oesophageal reflux. Using these cut-off points, we found that the probability of no pathologic oesophageal reflux (Y) could be best fitted by an exponential equation: Y = a(e-bX) + c, where a, b and c are constants and X is the value of heartburn severity. There was close agreement between predicted and observed percentages of subjects with pathologic oesophageal reflux during different days of treatment.

CONCLUSIONS

In GERD subjects treated with a proton-pump inhibitor, the value of heartburn severity following a single standard meal can predict the likelihood of pathologic oesophageal reflux over the entire 24-h period.

摘要

背景

在用胃抗分泌剂治疗的胃食管反流病(GERD)患者中,尚不清楚烧心严重程度与食管酸暴露之间是否存在关联。

方法

27例GERD患者以随机、双向交叉方式,在基线时以及用20mg奥美拉唑或20mg雷贝拉唑治疗的第1、2和8天测定食管pH值和烧心严重程度。

结果

采用受试者操作特征(ROC)分析来确定烧心严重程度的值,这些值给出了区分正常和病理性食管反流的最佳临界点。使用这些临界点,我们发现无病理性食管反流(Y)的概率可以用指数方程最好地拟合:Y = a(e-bX) + c,其中a、b和c为常数,X为烧心严重程度的值。在治疗的不同天数,病理性食管反流患者的预测百分比与观察百分比之间存在密切一致性。

结论

在用质子泵抑制剂治疗的GERD患者中,单次标准餐后的烧心严重程度值可预测整个24小时期间病理性食管反流的可能性。

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