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目的 探讨肝功能指标对于急性胰腺炎(AP)患者疾病严重程度的预测价值,为临床治疗提供参考依据.方法 回顾性分析本院2017年至2018年间收治的急性胰腺炎患者142例.分别根据RANSON评分和急性生理与慢性健康状况量表Ⅱ(APACHEⅡ)评分对其进行疾病严重程度评估,以重度胰腺炎作为结局指标,分别对轻度及重度患者间差异有统计学意义的单一指标进行单因素logistic回归分析及ROC曲线分析,判断其对疾病严重程度的区分价值.结果 RANSON评分分级:重度患者(RANSON≥3分)43例,轻度患者(RANSON＜3分)99例;两组白蛋白(ALB)水平差异有统计学意义(P＜0.05).对ALB进行单因素logistic回归分析发现,其OR =0.88(P ＜0.001),ROC曲线下面积及其95％ CI:0.73(0.63,0.83).APACHEⅡ评分分级:重度患者(APACHEⅡ评分≥8分)94例,轻度患者(APACHEⅡ评分＜8分)48例.两组ALT水平差异有统计学意义(P＜0.05).对ALT进行单因素logistic回归分析发现其OR=1.001 (P =0.314),ROC曲线下面积及其95％ CI:0.61 (0.50,0.71).结论 ALB是预测AP严重程度的有价值的生物标记物.“,”Objective To explore the clinical value of liver function indicators in predicting the severity of disease in patients with acute pancreatitis (AP),and to provide a reference for clinical treatment.Methods A retrospective study was conducted and 142 patients with acute pancreatitis were included.The disease severity was evaluated according to the RANSON score and the Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) score,and severe pancreatitis was used as the outcome index.Univariate logistic regression analysis and receiver operating characteristic (ROC) curve analysis were performed on single indicators that were statistically significant between mild and severe patients to determine the distinguishing value for disease severity.Results The RANSON score was graded:43 cases of severe patients (RANSON≥3) and 99 cases of mild patients (RANSON ＜3);the difference in albumin (ALB) levels between the two groups was statistically significant (P ＜ 0.05).Univariate logistic regression analysis and ROC curve analysis were performed on ALB (OR =0.88,P ＜0.001).The area under the ROC curve and its 95％ CI were 0.73 (0.63,0.83).APACHE Ⅱ score classification:94 cases of severe patients (APACHE Ⅱ score≥8) and 48 cases of mild patients (APACHE Ⅱ score ＜8).The difference in alanine aminotransferase (ALT) levels in the two groups were statistically significant (P ＜0.05).Univariate factor logistic regression analysis and ROC curve analysis were performed on ALT (OR =1.001,P =0.314).The area under the ROC curve and its 95％ CI were 0.61 (0.50,0.71).Conclusions ALB and ALT are valuable biomarkers for predicting the severity of AP.