A creatinine-based model for predicting recurrent bleeding after modified percutaneous transhepatic variceal embolization in patients with cirrhosis

Kun Ji , Xin Li , Hanlong Zhu , Si Zhao , Pengchao Zhan , Yang Shi , Shuwen Ye , Bingcan Xie , Yuyuan Zhang , Peng Yu , Zhigang Ren , Juan Ding , Xinwei Han , Zhen Li
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Abstract

Background

Patients who survive initial esophagogastric variceal bleeding (EVB) are at an increased risk of recurrent bleeding and death; however, a reliable predictive model is lacking. We aimed to develop a model for rebleeding prediction in patients with EVB after modified percutaneous transhepatic variceal embolization (PTVE) with cyanoacrylate.

Methods

A total of 122 patients with EVB who underwent PTVE from January 2015 to November 2020 were enrolled. Multivariate logistic analyses were conducted to determine independent risk factors for nomogram construction. The discrimination, calibration, and clinical utility of the nomogram were compared with the Model for End-stage Liver Disease score (MELD) and the Child–Pugh model. Risk stratification was performed according to the nomogram.

Results

Rebleeding within 3 months of PTVE occurred in 32 patients (26.2%). Independent rebleeding indicators included prior history of endoscopic therapy, Child–Pugh score, partial splenic embolization, and creatinine level. The nomogram incorporating these four predictors achieved excellent calibration and discriminatory abilities, with a concordance index of 0.85, which was confirmed to be 0.83 through bootstrapping validation. The nomogram demonstrated superior discrimination and clinical applicability than the MELD and Child–Pugh models. As shown in the Kaplan–Meier curves, high-risk patients had a high probability of rebleeding (P ​< ​0.001).

Conclusions

The creatinine-based nomogram had a superior ability to predict rebleeding after PTVE in patients with EVB. Risk stratification may help identify high-risk patients and lead to the earlier implementation of aggressive treatments and formulation of intensive follow-up plans.

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基于肌酐的预测肝硬化患者改良经皮经肝静脉曲张栓塞术后再出血的模型
初始食管胃静脉曲张出血(EVB)存活的患者复发性出血和死亡的风险增加;然而,目前还缺乏可靠的预测模型。我们的目的是建立一个预测EVB患者经改良经皮经肝静脉曲张栓塞(PTVE)后再出血的模型。方法选取2015年1月至2020年11月接受PTVE治疗的EVB患者122例。进行多因素logistic分析,确定独立危险因素,构建nomogram。与终末期肝病评分模型(MELD)和Child-Pugh模型比较nomogram鉴别、校正和临床应用。根据nomogram进行风险分层。结果术后3个月内再出血32例(26.2%)。独立再出血指标包括既往内镜治疗史、Child-Pugh评分、部分脾栓塞和肌酐水平。包含这四个预测因子的模态图具有良好的校准和判别能力,一致性指数为0.85,通过自举验证证实一致性指数为0.83。与MELD和Child-Pugh模型相比,nomogram具有更好的辨别力和临床适用性。Kaplan-Meier曲线显示,高危患者再出血概率高(P <0.001)。结论以肌酐为基础的心电图对EVB患者PTVE后再出血有较好的预测能力。风险分层可能有助于识别高危患者,并导致早期实施积极的治疗和制定密集的随访计划。
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来源期刊
Journal of Interventional Medicine
Journal of Interventional Medicine Medicine-General Medicine
CiteScore
1.30
自引率
0.00%
发文量
32
审稿时长
68 days
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