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评估 Barrett 食管发生肿瘤进展风险模型的外部验证。

External validation of a model to determine risk of progression of Barrett's oesophagus to neoplasia.

机构信息

Cancer Epidemiology Research Group, Queen's University Belfast, Belfast, UK.

Section of Epidemiology and Population Sciences, Baylor College of Medicine, Houston, Texas.

出版信息

Aliment Pharmacol Ther. 2019 May;49(10):1274-1281. doi: 10.1111/apt.15235. Epub 2019 Apr 4.

Abstract

BACKGROUND

A risk prediction model containing sex, smoking history, Barrett's oesophagus length and presence of low-grade dysplasia was found to identify individuals at a higher risk of progression to oesophageal adenocarcinoma or high-grade dysplasia.

AIM

To externally validate the model predicting risk of progression from Barrett's oesophagus to neoplasia and assess the predictive utility of additional factors.

METHODS

We conducted a retrospective cohort study among individuals from the population-based Northern Ireland Barrett's register with a histologically confirmed diagnosis of Barrett's oesophagus (with intestinal metaplasia) between 1993 and 2005. The association between a points based model and risk of progression to high-grade dysplasia or oesophageal adenocarcinoma until 2010 was assessed using Cox Proportional Hazards model. Model performance was assessed using area under the receiver operating characteristics curves (AUROC), sensitivity and specificity.

RESULTS

We identified 1198 individuals with Barrett's oesophagus of whom 54 progressed. The model discriminated reasonably well between progressors and nonprogressors, with an AUROC of 0.70 (95% CI 0.63-0.78). When categorised into low, intermediate and high risk groups, the AUROC was 0.68 (95% CI 0.61-0.74). Compared to using data on dysplasia and segment length for risk stratification, the model resulted in a net reclassification improvement of 20.9%.

CONCLUSIONS

This external validation provides further evidence that a model based on sex, smoking, Barrett's segment length and baseline low-grade dysplasia may help to risk stratify patients after an initial diagnosis of Barrett's oesophagus. The model also performed better than the use of low-grade dysplasia status alone for risk-stratification.

摘要

背景

包含性别、吸烟史、巴雷特食管长度和低级别异型增生存在的风险预测模型,可识别出进展为食管腺癌或高级别异型增生风险较高的个体。

目的

验证预测巴雷特食管向肿瘤进展风险的模型,并评估额外因素的预测效用。

方法

我们对 1993 年至 2005 年间在人群为基础的北爱尔兰巴雷特登记处中进行的一项回顾性队列研究,其中有组织学证实的巴雷特食管(肠化生)的个体。使用 Cox 比例风险模型评估基于点的模型与进展为高级别异型增生或食管腺癌的风险之间的关联,直至 2010 年。使用接收器工作特征曲线下面积(AUROC)、敏感性和特异性来评估模型性能。

结果

我们确定了 1198 名患有巴雷特食管的个体,其中 54 名进展。该模型在进展者和非进展者之间的区分能力相当好,AUROC 为 0.70(95%CI 0.63-0.78)。当分为低、中、高风险组时,AUROC 为 0.68(95%CI 0.61-0.74)。与使用异型增生和节段长度数据进行风险分层相比,该模型的净重新分类改善率为 20.9%。

结论

这项外部验证进一步证明,基于性别、吸烟、巴雷特食管节段长度和基线低级别异型增生的模型可能有助于在初始诊断为巴雷特食管后对患者进行风险分层。该模型在风险分层方面也优于仅使用低级别异型增生状态。

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