Department of Gastroenterology, Akita University Graduate School of Medicine, 1-1-1 Hondo, Akita, 010-8543, Japan.
Honjo-Daiichi Hospital, Yurihonjo, Japan.
Esophagus. 2024 Oct;21(4):552-562. doi: 10.1007/s10388-024-01079-3. Epub 2024 Aug 19.
The incidence of esophageal adenocarcinoma has recently increased in Asia, including Japan. A system to identify individuals at high risk for Barrett's esophagus (BE), a pre-cancerous condition of esophageal adenocarcinoma, among the general population is needed to perform endoscopic surveillance appropriately. We therefore developed risk prediction scores for BE at health checkups in Japan.
4128 consecutive health checkup examinees were retrospectively enrolled from October 2021 to March 2022. A prediction score for BE was developed based on the linear transformation of β-regression coefficients in a multivariable regression model incorporating BE predictors. Internal validation was performed by evaluating discrimination and calibration of the prediction model.
Three prediction scores corresponding to BE based on its length were developed: all lengths, ≥ 1 cm, ≥ 2 cm. All scores were internally validated, and the model calibration was excellent. The performance of the prediction models was better for longer BE, with a c-statistic of 0.70 for BE ≥ 2 cm, than for shorter values. The prediction score for BE ≥ 2 cm yielded sensitivity and specificity of 52.9% and 78.6% in high-risk subjects and 91.2% and 29.3% in intermediate- or high-risk subjects, respectively.
This prediction score can potentially increase the endoscopic detection of BE by identifying potentially high-risk individuals from the general population. This is the first report on developing a prediction score for BE that may suit the Japanese population.
食管腺癌在亚洲(包括日本)的发病率最近有所增加。需要有一种系统,能够在普通人群中识别出患有巴雷特食管(BE)的高危个体,因为 BE 是食管腺癌的癌前病变。为此,我们在日本的健康检查中开发了用于 BE 的风险预测评分。
我们回顾性地纳入了 2021 年 10 月至 2022 年 3 月期间的 4128 名连续健康检查受检者。基于多变量回归模型中包含 BE 预测因素的β回归系数的线性变换,开发了用于 BE 的预测评分。通过评估预测模型的区分度和校准度对其进行内部验证。
我们开发了三种基于 BE 长度的预测评分:所有长度、≥1cm、≥2cm。所有评分均经过内部验证,模型校准效果良好。对于较长的 BE,预测模型的性能更好,BE≥2cm 的 c 统计量为 0.70,优于较短值。BE≥2cm 的预测评分在高危人群中的敏感性和特异性分别为 52.9%和 78.6%,在中高危人群中的敏感性和特异性分别为 91.2%和 29.3%。
该预测评分可通过识别普通人群中潜在的高危个体,潜在地增加 BE 的内镜检出率。这是首次报道开发适用于日本人群的 BE 预测评分。