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NLR、PTAR、MELD评分联合检测对失代偿期乙肝肝硬化患者短期预后的预测价值

Predictive value of combined detection of NLR, PTAR and MELD score for short-term prognosis in patients with decompensated hepatitis B cirrhosis

  • 摘要:
    目的  探讨中性粒细胞计数/淋巴细胞计数(NLR)、凝血酶原国际标准化比值/白蛋白(PTAR)、终末期肝病模型(MELD)评分联合检测对失代偿期乙肝肝硬化患者短期预后的预测价值。
    方法  回顾性分析2018年1月至2021年6月南通大学附属南通第三医院收治的153例失代偿期乙肝肝硬化患者的临床资料,其中建模组113例,验证组40例。根据治疗前首次实验室血液学指标分别计算NLR、PTAR、MELD评分。根据治疗开始后6个月末(观察终点)的生存状态,将建模组患者分为好转组和进展组,比较两组患者临床参数的差异。采用Spearman相关分析评估NLR、PTAR、MELD之间的相关性。对相关变量进行单因素和多因素回归分析,筛选影响失代偿期乙肝肝硬化患者短期预后的因素。分别绘制NLR、PTAR、MELD评分及联合预测模型的ROC曲线,评估各单项指标及联合预测模型预测失代偿期乙肝肝硬化患者短期预后的效能。将验证组数据代入构建的联合预测模型,进行效能验证。
    结果  建模组中进展患者NLR、PTAR及MELD评分均显著高于好转患者,差异有统计学意义(P<0.05)。相关性分析显示,NLR、PTAR均与MELD评分正相关(r值分别为0.444、0.438,P<0.001),NLR与PTAR正相关(r=0.435,P<0.001)。Logistic多因素分析结果显示,天冬氨酸氨基转移酶(AST)、白蛋白(Alb)、NLR、PTAR、MELD评分升高是影响失代偿期乙肝肝硬化患者短期预后的独立危险因素(P<0.05)。NLR、PTAR、MELD评分截断值分别为5.045、49.405、15.295,预测乙肝肝硬化进展的AUC分别为0.738、0.796、0.749,三者联合预测的效能最佳,AUC为0.832。联合预测模型在验证组同样具有较好的预测效能,AUC为0.803。
    结论  NLR、PTAR、MELD评分可作为失代偿期乙肝肝硬化患者短期预后的独立预测因子,具有较好的预测价值,三者联合预测模型预测价值更高。

     

    Abstract:
    Objective  To explore the short-term prognosis value of combined detection of neutrophil count to lymphocyte count ratio (NLR), prothrombin international standardized ratio to albumin ratio (PTAR), and end-stage liver disease model (MELD) score in patients with decompensated hepatitis B cirrhosis.
    Methods  The clinical data of 153 patients with decompensated hepatitis B cirrhosis admitted to Nantong Third Affiliated Hospital of Nantong University from January 2018 to June 2021 were retrospectively analyzed, including 113 in the modeling group and 40 in the validation group. The NLR, PTAR and MELD score were calculated according to the first laboratory hematology indexes before treatment. The end point was the end of 6 months after the start of treatment. The patients in the modeling group were divided into improvement group and progress group according to their survival status at the end of 6 months. The levels of clinical parameters between the improvement and progress groups were compared. Spearman correlation analysis was used to evaluate the correlation among NLR, PTAR and MELD score. Univariate and multivariate regression analyses were carried out on related variables to identify the factors influencing short-term prognosis of patients with decompensated hepatitis B cirrhosis. The ROC curve was used to evaluate the effectiveness of each single index and combined prediction model in predicting the short-term prognosis of patients with decompensated hepatitis B cirrhosis. The validation group data was substituted into the combined prediction model for efficiency validation.
    Results  In the modeling group, NLR, PTAR and MELD score in the progress patients were significantly higher than those in the improved patients (P < 0.05). Correlation analysis showed that NLR and PTAR were positively related to MELD score (r values were 0.444 and 0.438, respectively, P < 0.001), and NLR and PTAR were also positively correlated (r=0.435, P < 0.001). Logistic multivariate analysis showed that AST, Alb, NLR, PTAR and MELD score increasing were independent risk factors for short-term prognosis of patients with decompensated hepatitis B cirrhosis (P < 0.05). The cut-off values of NLR, PTAR and MELD score were 5.045, 49.405 and 15.295, respectively, and the AUC predicting the progression of hepatitis B cirrhosis was 0.738, 0.796 and 0.749, respectively, the prediction efficiency of the combined prediction model was best, and the AUC was 0.832. The combined prediction model also had good prediction efficiency in the validation group, with 0.803 of AUC.
    Conclusion  NLR, PTAR and MELD score can be used as independent predictors of short-term prognosis of patients with decompensated hepatitis B cirrhosis and has good predictive value. The predictive value of combined model of the three is more reliable.

     

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