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24小时动态食管动力监测:动力数据应如何分析?

24 hour ambulatory oesophageal motility monitoring: how should motility data be analysed?

作者信息

Richter J E, Castell D O

机构信息

Gastroenterology Section, Bowman Gray School of Medicine, Wake Forest University, Winston-Salem, North Carolina 27104.

出版信息

Gut. 1989 Aug;30(8):1040-7. doi: 10.1136/gut.30.8.1040.

Abstract

Ambulatory oesophageal motility/pH monitoring permits accurate detection of oesophageal events during spontaneous chest pain episodes. Opinions differ, however, about the methods to review the extensive motility data and the definition of abnormal motility changes. We studied 30 patients (18 women, age 46 years) with suspected oesophageal chest pain using a portable recording system attached to a 4.5 mm catheter with pressure transducers 3 and 8 cm and pH probe 5 cm above the lower oesophageal sphincter (LOS). An event marker was triggered by the patient for chest pain. In the patient's diary, pain was recorded on a scale of increasing severity 1-10. Two methods of analysis were used to assess 24 hour motility data. The 24 hour technique sampled five minute asymptomatic baselines throughout the study to define the patient's normal range of oesophageal motility. The second technique used only the 10 minute period immediately before each chest pain episode as the asymptomatic baseline. Chest pain episodes were defined as abnormal if associated with pH less than 4 or motility changes not present during the asymptomatic baseline analysis: 135 chest pain episodes were recorded. The method of motility analysis significantly (p less than 0.01) changed the number of chest pain episodes associated with abnormal motility: 24 hour technique - 14 episodes (10%) versus a 2.5-fold increase with the 10 minute baseline technique - 33 episodes (24%). Acid related pain episodes were similar in both groups - 13%. The majority of chest pain episodes had no association with abnormal motility or acid reflux. Increasing chest pain severity was inversely correlated with the presence of abnormal oesophageal events. We conclude that limited analysis of 24 hour motility data may over diagnose motility related chest pain events and lead to inappropriate medical or surgical therapy.

摘要

动态食管动力/pH监测可在自发性胸痛发作期间准确检测食管事件。然而,对于如何解读大量的动力数据以及异常动力变化的定义,目前存在不同观点。我们使用一个便携式记录系统对30例疑似食管源性胸痛患者(18名女性,年龄46岁)进行了研究,该记录系统连接在一根4.5毫米的导管上,导管上有位于食管下括约肌(LOS)上方3厘米和8厘米处的压力传感器以及5厘米处的pH探头。患者胸痛时触发事件标记。在患者日记中,疼痛按1 - 10的严重程度递增等级记录。采用两种分析方法评估24小时动力数据。24小时技术在整个研究过程中抽取5分钟的无症状基线数据,以确定患者食管动力的正常范围。第二种技术仅将每次胸痛发作前紧挨着的10分钟时间段作为无症状基线。如果胸痛发作伴有pH值低于4或无症状基线分析时不存在的动力变化,则定义为异常:共记录到135次胸痛发作。动力分析方法显著(p < 0.01)改变了与异常动力相关的胸痛发作次数:24小时技术 - 14次发作(10%),而10分钟基线技术则增加了2.5倍 - 33次发作(24%)。两组中与酸相关的疼痛发作相似 - 均为13%。大多数胸痛发作与异常动力或酸反流无关。胸痛严重程度增加与异常食管事件的存在呈负相关。我们得出结论,对24小时动力数据进行有限分析可能会过度诊断与动力相关的胸痛事件,并导致不适当的药物或手术治疗。

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