Okada Tomoyuki, Mikamo Tsuyoshi, Hamamoto Wataru, Iwamoto Taku, Okamoto Toshiaki, Maeda Kazunori, Yanagitani Atsushi, Tanaka Kiwamu, Isomoto Hajime, Yamaguchi Naoyuki
Tottori Prefectural Central Hospital, Tottori 680-0901, Japan.
Division of Medicine and Clinical Science, Faculty of Medicine, Tottori University, Yonago 683-8504, Japan.
Cancers (Basel). 2022 Nov 12;14(22):5555. doi: 10.3390/cancers14225555.
This study constructed a simplified post-endoscopic submucosal dissection (ESD) prediction model with a prognostic nutritional index (PNI). A total of 449 patients who underwent gastric ESD was included, divided with a ratio of 2:1, and assigned to the model or validation cohort. A prediction model of post-ESD (modified BEST-J score) was constructed using the model cohort. The modified BEST-J score was evaluated by comparing its accuracy to the BEST-J score in the validation cohort. Within 4 weeks of ESD, melena, hematemesis, or a 2 g/dL or greater decrease in hemoglobin level that required esophagogastroduodenoscopy was defined as post-ESD bleeding. In the model cohort, 299 patients were enrolled and 25 (8.4%) had post-ESD bleeding. Independent risk factors for post-ESD bleeding were use of P2Y12RA, tumor size > 30 mm, location of lesion at lower one-third of the stomach, and PNI ≤ 47.9. Constructing the modified BEST-J score based on these variables, the sensitivity, specificity, and positive likelihood ratio were 73.9%, 78.1%, and 3.37. When comparing the modified BEST-J score to the BEST-J score in the validation cohort, no significant difference was observed by ROC-AUC (0.77 vs. 0.75, p = 0.81). Modified BEST-J score can predict post-ESD bleeding more simply, with the same accuracy as the BEST-J score.
本研究构建了一个包含预后营养指数(PNI)的简化内镜黏膜下剥离术(ESD)后预测模型。共纳入449例行胃ESD的患者,按2:1的比例分组,分别纳入模型组或验证队列。使用模型组构建ESD后预测模型(改良BEST-J评分)。通过在验证队列中比较改良BEST-J评分与BEST-J评分的准确性来评估改良BEST-J评分。在ESD后4周内,黑便、呕血或血红蛋白水平下降2 g/dL或更多且需要进行食管胃十二指肠镜检查被定义为ESD后出血。在模型组中,纳入了299例患者,其中25例(8.4%)发生了ESD后出血。ESD后出血的独立危险因素包括使用P2Y12受体拮抗剂、肿瘤大小>30 mm、病变位于胃下三分之一处以及PNI≤47.9。基于这些变量构建改良BEST-J评分,其敏感性、特异性和阳性似然比分别为73.9%、78.1%和3.37。在验证队列中将改良BEST-J评分与BEST-J评分进行比较时,ROC-AUC未观察到显著差异(0.77对0.75,p = 0.81)。改良BEST-J评分能够更简单地预测ESD后出血,准确性与BEST-J评分相同。