首页> 外文期刊>Journal of viral hepatitis. >Prediction of the prognosis of patients with acute-on-chronic hepatitis B liver failure using the model for end-stage liver disease scoring system and a novel logistic regression model.
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Prediction of the prognosis of patients with acute-on-chronic hepatitis B liver failure using the model for end-stage liver disease scoring system and a novel logistic regression model.

机译:使用终末期肝病评分系统模型和新型logistic回归模型预测急性慢性乙型肝炎肝衰竭患者的预后。

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The objective of this study was to determine the predictive value of the model for end-stage liver disease (MELD) scoring system in patients with acute-on-chronic hepatitis B liver failure (ACLF-HBV), and to establish a new model for predicting the prognosis of ACLF-HBV. A total of 204 adult patients with ACLF-HBV were retrospectively recruited between July 1, 2002 and December 31, 2004. The MELD scores were calculated according to the widely accepted formula. The 3-month mortality was calculated. The validity of the MELD model was determined by means of the concordance (c) statistic. Clinical data and biochemical values were included in the multivariate logistic regression analysis based on which the regression model for predicting prognosis was established. The receiver-operating characteristic curves were drawn for the MELD scoring system and the new regression model and the areas under the curves (AUC) were compared by the z-test. The 3-month mortality rate was 57.8%. The mean MELD score for the patients who died was significantly greater than those who survived beyond 3 months (28.7 vs 22.4, P = 0.003). The concordance (c) statistic (equivalent to the AUC) for the MELD scoring system predicting 3-month mortality was 0.709 (SE = 0.036, P < 0.001, 95% confidence interval 0.638-0.780). The independent factors predicting prognosis were hepatorenal syndrome (P < 0.001), liver cirrhosis (P = 0.009), HBeAg (P = 0.013), albumin (P = 0.028) and prothrombin activity (P = 0.011) as identified in multivariate logistic regression analysis. The regression model that was constructed by the logistic regression analysis produced a greater prognostic value (c = 0.891) than the MELD scoring system (z = 4.333, P < 0.001). The MELD scoring system is a promising and useful predictor for 3-month mortality of ACLF-HBV patients. Hepatorenal syndrome, liver cirrhosis, HBeAg, albumin and prothrombin activity are independent factors affecting the 3-month mortality. The newly established logistic regression model appears to be superior to the MELD scoring system in predicting 3-month mortality in patients with ACLF-HBV.
机译:这项研究的目的是确定该模型对急性慢性乙型肝炎肝衰竭(ACLF-HBV)患者终末期肝病(MELD)评分系统的预测价值,并建立一种新的模型预测ACLF-HBV的预后。在2002年7月1日至2004年12月31日期间,共招募了204名ACLF-HBV成人患者。根据公认的公式计算MELD评分。计算了3个月的死亡率。 MELD模型的有效性通过一致性(c)统计量确定。临床数据和生化值包括在多元逻辑回归分析中,在此基础上建立了预测预后的回归模型。绘制了MELD评分系统的接收者操作特征曲线,并通过z检验比较了新的回归模型和曲线下面积(AUC)。 3个月死亡率为57.8%。死亡患者的平均MELD评分显着高于存活3个月以上的患者(28.7 vs 22.4,P = 0.003)。预测3个月死亡率的MELD评分系统的一致性(c)统计量(等于AUC)为0.709(SE = 0.036,P <0.001,95%置信区间0.638-0.780)。多元逻辑回归分析确定的预测预后的独立因素是肝肾综合征(P <0.001),肝硬化(P = 0.009),HBeAg(P = 0.013),白蛋白(P = 0.028)和凝血酶原活性(P = 0.011)。 。通过逻辑回归分析构建的回归模型比MELD评分系统(z = 4.333,P <0.001)产生更大的预后价值(c = 0.891)。 MELD评分系统是ACLF-HBV患者3个月死亡率的有希望和有用的预测指标。肝肾综合征,肝硬化,HBeAg,白蛋白和凝血酶原活性是影响3个月死亡率的独立因素。新建立的逻辑回归模型在预测ACLF-HBV患者的3个月死亡率方面似乎优于MELD评分系统。

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