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基于CT的列线图可预测肝血吸虫病所致非肝硬化门静脉高压症患者食管胃静脉曲张出血情况。

CT-based nomogram predicts esophageal gastric variceal bleeding in noncirrhotic portal hypertension caused by hepatic schistosomiasis.

作者信息

Cheng Wei, Wang Ke-Ying, Li Wen-Qiang, Li Yao, Li Xiao-Yan, Ju Shuai

机构信息

Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, 201508, China.

Department of Vascular and Wound Center, Jinshan Hospital, Fudan University, Shanghai, 201508, China.

出版信息

BMC Med Inform Decis Mak. 2025 Jan 7;25(1):8. doi: 10.1186/s12911-024-02777-9.

Abstract

BACKGROUND

To construct a nomogram combining CT varices vein evaluation and clinical laboratory tests for predicting the risk of esophageal gastric variceal bleeding (EGVB) in patients with noncirrhotic portal hypertension (NCPH).

METHODS

A total of 315 NCPH patients with non-EGVB and EGVB were retrospectively enrolled and randomly divided into training and testing cohorts. Thirteen collateral vessels were identified and evaluated after CT portal vein system reconstruction. Multivariate binary logistic regression analysis was used to choose CT images and clinical predictors of EGVB. The varices score of each patient was calculated. A nomogram was built by combining the varices score with the selected clinical predictors of EGVB. The receiver operating characteristic (ROC) curve was used to evaluate the predictive performance of the nomogram.

RESULTS

Platelet count and prothrombin time were selected as clinical predictors; the esophageal vein, gastroepiploic vein and omental vein were selected as CT image predictors for predicting EGVB. A reduced platelet count, prolonged prothrombin time, severe esophageal and gastroepiploic vein tortuosity and less omental vein tortuosity were predictors of EGVB in NCPH patients. The specificity, sensitivity, negative predictive value, positive predictive value and AUC of the ROC of the nomogram were 0.82, 0.81, 0.89, 0.70, and 0.88 (95% CI: 0.84-0.93) in the training cohort and 0.87, 0.86, 0.88, 0.84, and 0.91 (95% CI: 0.84-0.97) in the testing cohort, respectively.

CONCLUSIONS

The nomogram combining CT images and clinical predictors could be useful to individualize and predict the risk of EGVB in NCPH patients.

CLINICAL RELEVANCE STATEMENT

Results showed that the nomogram combining CT-evaluated collateral vessels (varices score) and clinical laboratory tests could be used to realize personalized prediction of first-time EGVB in NCPH patients.

摘要

背景

构建一种将CT门静脉评估与临床实验室检查相结合的列线图,以预测非肝硬化门静脉高压症(NCPH)患者食管胃静脉曲张破裂出血(EGVB)的风险。

方法

回顾性纳入315例非EGVB和EGVB的NCPH患者,并随机分为训练队列和测试队列。在CT门静脉系统重建后,识别并评估13条侧支血管。采用多因素二元逻辑回归分析选择EGVB的CT图像和临床预测因素。计算每位患者的静脉曲张评分。通过将静脉曲张评分与选定的EGVB临床预测因素相结合构建列线图。采用受试者操作特征(ROC)曲线评估列线图的预测性能。

结果

血小板计数和凝血酶原时间被选为临床预测因素;食管静脉、胃网膜静脉和网膜静脉被选为预测EGVB的CT图像预测因素。血小板计数降低、凝血酶原时间延长、食管和胃网膜静脉严重迂曲以及网膜静脉迂曲程度较轻是NCPH患者EGVB的预测因素。列线图在训练队列中的ROC曲线的特异性、敏感性、阴性预测值、阳性预测值和AUC分别为0.82、0.81、0.89、0.70和0.88(95%CI:0.84 - 0.93),在测试队列中分别为0.87、0.86、0.88、0.84和0.91(95%CI:0.84 - 0.97)。

结论

结合CT图像和临床预测因素的列线图可能有助于个体化预测NCPH患者EGVB的风险。

临床相关性声明

结果表明,结合CT评估的侧支血管(静脉曲张评分)和临床实验室检查的列线图可用于实现NCPH患者首次EGVB的个性化预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0899/11708042/d2daee9fa546/12911_2024_2777_Fig1_HTML.jpg

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