机构地区:[1]川投西昌医院重症科,凉山州615600 [2]冕宁县人民医院消化内科,凉山州615601 [3]攀钢集团总医院重症科,攀枝花617000
出 处:《传染病信息》2025年第2期116-122,共7页Infectious Disease Information
摘 要:目的基于血清人β防御素-1(human beta-defensin-1,HBD-1)、白细胞介素-6(interleukin-6,IL-6)和血小板一白蛋白-胆红素(platelet-albumin-bilirubin,PALBI)评分构建乙型肝炎病毒(hepatitisBvirus,HBV)相关慢加急性肝衰竭(acute-on-chronicliverfailure,ACLF)患者短期预后的预测模型。方法选取2021年5月至2024年1月川投西昌医院收治的HBV-ACLF患者395例,根据28d情况分为死亡组(175例)和存活组(220例)。收集HBV-ACLF患者临床资料,并计算PALBI评分。单因素分析、最小绝对收缩和选择算子回归(least absolute shrinkage and selection operator,LASSO)筛选影响HBV-ACLF患者短期预后的因素,将非零特征变量进行多因素非条件Logistic回归确定独立危险因素;R语言构建基于血清HBD-1、IL-6、PALBI评分的HBV-ACLF患者短期预后预测模型,使用一致性指数、校准曲线、决策曲线和Hosmer-Lemeshow检验进行内部验证;受试者工作特征(receiver operating characteristic,ROC)曲线确定基于血清HBD-1、IL-6和PALBI评分的HBV-ACLF患者短期预后预测模型的预测能效。结果395例HBV-ACLF患者28d病死率为44.30%(175/395)。单因素分析显示,ACLF分期、肝腹水、肝性脑病、上消化道出血、中性粒细胞/淋巴细胞计数比值、总胆红素、乳酸脱氢酶、白蛋白、纤维蛋白原、国际标准化比值(international normalized ratio,INR)、凝血酶原活动度、HBD-1、IL-6、CTP(Child-Turcotte-Pugh)评分、PALBI评分与HBV-ACLF患者短期预后有关(P<0.05)。LASSO回归筛选出9个具有非零特征的变量,多因素非条件Logistic回归显示,ACLF分期、肝性脑病、上消化道出血、INR、HBD-1、IL-6、CTP评分、PALBI评分为HBV-ACLF患者死亡的独立危险因素(P<0.05)。基于血清HBD-1、IL-6和PALBI评分构建HBV-ACLF患者短期预后预测模型[Logit(P)=-12.971+1.284×ACLF分期+1.291×肝性脑病+1.461×上消化道出血+1.337×INR+0.019×HBD-1+0.064×IL-6+0.434XCTP+0.240×PALBI评分]。经内部验证,�Objective A short-term prognostic prediction model is constructed for patients with hepatitis B virus(HBV)-acute-on-chronic liver failure(ACLF)based on serum human beta-defensin-1(HBD-1),interleukin-6(IL-6),and platelet-albumin-bilirubin(PALBI)score.Methods A total of 395 patients with HBV-ACLF admitted to our hospital between May 2021 and January 2024 were selected and divided into a death group(175 cases)and a survival group(220 cases)based on their 28-day outcomes.Clinical data were collected,and serum HBD-1 and IL-6 levels were measured by enzyme-linked immunosorbent assay on the second day of admission.The PALBI score was calculated.Univariate analysis and least absolute shrinkage and selection operator(LASSO)regression were used to identify factors influencing the short-term prognosis of HBV-ACLF patients.Multivariable logistic regression was conducted to determine independent risk factors among non-zero feature variables.A short-term prognostic prediction model was constructed using R software based on serum HBD-1,IL-6,and PALBI scores,and internal validation was performed using the concordance index,calibration curve,decision curve,and Hosmer-Lemeshow test.The predictive efficiency of the model was evaluated using the receiver operating characteristic(ROC)curve.Results The 28-day mortality rate of 395 HBV-ACLF patients was 44.30%(175/395).Univariate analysis revealed that ACLF staging,ascites,hepatic encephalopathy,upper gastrointestinal bleeding,neutrophil-to-lymphocyte ratio,total bilirubin,lactate dehydrogenase,albumin,fibrinogen international normalized ratio(INR),prothrombin activity,HBD-1,IL-6,Child-Turcotte-Pugh(CTP)score,and PALBI score were associated with the short-term prognosis of HBV-ACLF patients(P<0.05).LASSO regression identified 9 variables with non-zero characteristics.Multivariate unconditional logistic regression showed that ACLF staging,hepatic encephalopathy,upper gastrointestinal bleeding,INR HBD-1,IL-6,CTP score,and PALBI score were independent risk factors for mortality in HBV-ACL
关 键 词:乙型肝炎病毒相关慢加急性肝衰竭 人β防御素-1 白细胞介素-6 血小板-白蛋白-胆红素评分 短期预后 预测模型
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