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两种评分模型预测食管静脉曲张程度和出血的研究。

A study on two kinds of scoring models in predicting the degree of esophageal varices and bleeding.

机构信息

First Clinical College of Liaoning University of Traditional Chinese Medicine, Shenyang, China.

出版信息

Eur Rev Med Pharmacol Sci. 2020 Apr;24(7):3876-3881. doi: 10.26355/eurrev_202004_20853.

Abstract

OBJECTIVE

This study aims to investigate the value and determine the accuracy of two kinds of scoring models in predicting the degree of esophageal varices (EV) and esophageal variceal bleeding (EVB) in patients with liver cirrhosis (LC).

PATIENTS AND METHODS

A total of 189 patients with LC, who underwent esophagogastroduodenoscopy (EGD), color Doppler ultrasound (CDU), and computed tomography (CT), were retrospectively analyzed. Then, the routine blood examination, liver function test, M-index of the spleen in CT, EGD, and CDU results were recorded. According to the EGD result, these patients were divided into five groups: varicose bleeding group, severe varices group, moderate varices group, mild varices group, and no varices group. Then, the receiver operating characteristic curves of all predicting parameters studied were respectively drawn, the area under the receiver operating characteristic curves were calculated, and the predictive value of EV and EVB was evaluated.

RESULTS

The area under the receiver operating characteristic curve of the VAP score model and Plt/S-D score model was 0.901 and 0.835, respectively. The VAP score model cut-off value of 461.5 for predicting moderate esophageal varices (MoEV), severe esophageal varices (SEV), and EVB has a specificity and sensitivity of 100% and 68.7%, respectively, while the Plt/S-D score model cut-off value of 835.5 for predicting MoEV, SEV, and EVB has a specificity and sensitivity of 95.1% and 58.2%, respectively.

CONCLUSIONS

These two kinds of scoring models can predict the degree of esophageal varices and bleeding in liver cirrhosis patients and has good predictive accuracy.

摘要

目的

本研究旨在探讨两种评分模型在预测肝硬化(LC)患者食管静脉曲张(EV)和食管静脉曲张出血(EVB)程度中的价值和准确性。

方法

回顾性分析了 189 例接受食管胃十二指肠镜(EGD)、彩色多普勒超声(CDU)和计算机断层扫描(CT)检查的 LC 患者。记录了常规血液检查、肝功能检查、CT 中的脾脏 M 指数、EGD 和 CDU 结果。根据 EGD 结果,将这些患者分为五组:静脉曲张出血组、重度静脉曲张组、中度静脉曲张组、轻度静脉曲张组和无静脉曲张组。然后,分别绘制所有研究预测参数的受试者工作特征曲线,计算受试者工作特征曲线下的面积,并评估 EV 和 EVB 的预测价值。

结果

VAP 评分模型和 Plt/S-D 评分模型的受试者工作特征曲线下面积分别为 0.901 和 0.835。VAP 评分模型预测中度食管静脉曲张(MoEV)、重度食管静脉曲张(SEV)和 EVB 的截断值为 461.5,特异性和敏感性分别为 100%和 68.7%,而 Plt/S-D 评分模型预测 MoEV、SEV 和 EVB 的截断值为 835.5,特异性和敏感性分别为 95.1%和 58.2%。

结论

这两种评分模型可以预测肝硬化患者食管静脉曲张和出血的程度,具有良好的预测准确性。

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