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通过观察胃黏膜模式评估胃黏膜状况:白光内镜和窄带成像的诊断准确性。

Assessment of status by examination of gastric mucosal patterns: diagnostic accuracy of white-light endoscopy and narrow-band imaging.

机构信息

Surgery and Cancer, Imperial College London, London, UK

Surgery and Cancer, Imperial College London, London, UK.

出版信息

BMJ Open Gastroenterol. 2021 Aug;8(1). doi: 10.1136/bmjgast-2021-000608.

Abstract

OBJECTIVES

infection is a common cause of chronic gastritis worldwide and an established risk factor for developing gastric malignancy. The endoscopic appearances predicting status are an ongoing area of research, as are their diagnostic accuracies. This study aimed to establish the diagnostic accuracy of several mucosal features predictive of negative status and formulate a simple prediction model for use at the time of endoscopy.

DESIGN

Patients undergoing high-definition upper gastrointestinal (GI) endoscopy without magnification were recruited prospectively. During the endoscopy, the presence or absence of specific endoscopic findings was noted. Sydney protocol biopsies were used as the diagnostic reference standard, and urease test if taken. The results informed a logistic regression model used to produce a simple diagnostic approach. This model was subsequently validated using a further cohort of 30 patients.

RESULTS

153 patients were recruited and completed the study protocol. The prevalence of active infection was 18.3% (28/153). The overall diagnostic accuracy of the simple prediction model was 80.0%, and 100% of patients with active infection were correctly classified. The presence of regular arrangement of collecting venules (RAC) showed a positive predictive value for naïve status of 90.7%, rising to 93.6% for patients under the age of 60.

CONCLUSION

A simple endoscopic model may be accurate for predicting status of a patient, and the need for biopsy-based tests. The presence of RAC in the stomach is an accurate predictor of negative status, particularly in patients under the age of 60.

TRIAL REGISTRATION NUMBER

The study was registered with ClinicalTrials.gov, No. NCT02385045.

摘要

目的

感染是全球范围内导致慢性胃炎的常见原因,也是导致胃癌的既定危险因素。能够预测幽门螺杆菌阴性状态的内镜表现是目前研究的一个持续领域,其诊断准确性也是如此。本研究旨在确定几种预测幽门螺杆菌阴性状态的黏膜特征的诊断准确性,并制定一种简单的预测模型,以便在进行内镜检查时使用。

设计

前瞻性招募接受无放大高清上消化道(GI)内镜检查的患者。在进行内镜检查时,注意到是否存在特定的内镜发现。悉尼方案活检被用作诊断参考标准,如果进行了尿素酶试验。结果为逻辑回归模型提供了信息,用于生成一种简单的诊断方法。随后使用另外 30 名患者的队列对该模型进行了验证。

结果

共招募了 153 名患者并完成了研究方案。活跃的幽门螺杆菌感染的患病率为 18.3%(28/153)。简单预测模型的总体诊断准确性为 80.0%,并且 100%的活跃幽门螺杆菌感染患者被正确分类。规则排列的收集静脉(RAC)的存在对未经治疗的状态具有 90.7%的阳性预测值,对于年龄在 60 岁以下的患者,上升至 93.6%。

结论

一种简单的内镜模型可能准确预测患者的幽门螺杆菌状态,以及是否需要进行基于活检的检测。胃内 RAC 的存在是幽门螺杆菌阴性状态的准确预测指标,特别是在 60 岁以下的患者中。

试验注册号

该研究在 ClinicalTrials.gov 上注册,编号为 NCT02385045。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ca/8344320/81b5f8b2dc1e/bmjgast-2021-000608f01.jpg

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