[Construction of a predictive model for recompensation in patients with decompensated viral hepatitis-induced cirrhosis].

Q3 Medicine
D Q Xu, H Mu, C F Sa, Y Y Zhang, C Y Mou, L Liu
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引用次数: 0

Abstract

Objective: To explore the influencing factors and construct a predictive model for recompensation in patients with decompensated viral hepatitis-induced cirrhosis. Methods: Data were retrospectively collected from 734 cases diagnosed with decompensated hepatitis B and C-induced cirrhosis who visited the Third People's Hospital of Kunming between January 1, 2016 and December 31, 2022. Patients without portal hypertension-related complications within at least one year were included in the recompensation group (n=270), while those without recompensation were included in the persistent decompensation group (n=464). Logistic regression analysis was performed on factors that influence recompensation. The discriminant power of the model was evaluated using the area under the receiver operating characteristic curve (AUC), and the calibration of the model was evaluated using the Hosmer-Lemeshow test and calibration plot. A nomogram-based risk prediction model was established using the "rms" package. Continuous data were compared using the independent samples t-test or rank-sum test between the groups. Categorical data were compared using the χ2 test or Fisher's exact test between the groups. Results: Recompensated occurred in 270 of the 734 patients with viral hepatitis cirrhosis decompensation, with an incidence rate of 36.78%. Multivariate logistic regression analysis results showed that gender [odds ratio (OR)=0.602, P=0.044], history of transjugular intrahepatic portosystemic shunt (OR=6.517, P=0.005), oral administration of nonselective β receptor blockers (OR=2.353, P=0.015), sustained virological response (OR=4.639, P<0.001), hemoglobin (OR=1.012, P=0.010), albumin (OR=1.101, P<0.001), and portal vein width (OR=0.730, P<0.001) were independent influencing factors for recompensation in patients with decompensated viral hepatitis-induced cirrhosis. The P value of the constructed prediction model was >0.05 in the modeling group and the validation group, and the area under the receiver operating characteristic curve was 0.776 and 0.724, respectively. Conclusion: Patients with decompensated viral hepatitis cirrhosis who have a history of transjugular intrahepatic portosystemic shunt (TIPS), sustained virological response, and oral administration of non-β-selective receptor blockers are more likely to undergo recompensation, while male patients and those with low hemoglobin, low albumin, and increased portal vein width are less likely to undergo recompensation. The constructed nomogram predictive model can effectively assess the occurrence of recompensation in patients with decompensated-stage viral hepatitis cirrhosis.

[失代偿性病毒性肝炎肝硬化患者再代偿预测模型的构建]。
目的:探讨失代偿期病毒性肝炎肝硬化患者再代偿的影响因素并建立预测模型。方法:回顾性收集2016年1月1日至2022年12月31日在昆明市第三人民医院就诊的734例诊断为失代偿期乙型肝炎和丙型肝炎肝硬化患者的资料。至少一年内无门静脉高压相关并发症的患者纳入再代偿组(n=270),无再代偿的患者纳入持续失代偿组(n=464)。对影响补偿的因素进行Logistic回归分析。采用受试者工作特征曲线下面积(AUC)评价模型的判别能力,采用Hosmer-Lemeshow检验和标定图评价模型的标定性。利用“均方根”包建立了基于nomogram风险预测模型。组间连续资料比较采用独立样本t检验或秩和检验。组间分类资料比较采用χ2检验或Fisher精确检验。结果:734例病毒性肝炎肝硬化失代偿患者中有270例发生再代偿,发生率为36.78%。多因素logistic回归分析结果显示:性别[比值比(OR)=0.602, P=0.044]、经颈静脉肝内门静脉系统分流史(OR=6.517, P=0.005)、口服非选择性β受体阻滞剂(OR=2.353, P=0.015)、持续病毒学应答(OR=4.639, POR=1.012, P=0.010)、白蛋白(OR=1.101, POR=0.730),模型组和验证组构建的预测模型PP值均为>0.05。受者工作特征曲线下面积分别为0.776和0.724。结论:有经颈静脉肝内门静脉系统分流术(TIPS)病史、有持续病毒学应答、口服非β选择性受体阻滞剂的失代偿性病毒性肝炎肝硬化患者更容易进行再代偿,而男性患者及低血红蛋白、低白蛋白、门静脉宽度增加的患者更不容易进行再代偿。所构建的nomogram预测模型能够有效评估失代偿期病毒性肝炎肝硬化患者再代偿的发生情况。
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来源期刊
中华肝脏病杂志
中华肝脏病杂志 Medicine-Medicine (all)
CiteScore
1.20
自引率
0.00%
发文量
7574
期刊介绍:
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