肝脏 ›› 2025, Vol. 30 ›› Issue (8): 1066-1070.

• 肝纤维化及肝硬化 • 上一篇    下一篇

失代偿期肝硬化并发细菌感染的危险因素及炎症指标的早期诊断价值

余斌斌, 吴俊, 陆逸君, 向谦   

  1. 610051 四川 成都市第六人民医院消化内科
  • 收稿日期:2024-12-27 发布日期:2025-09-19
  • 基金资助:
    四川省卫生健康科研课题(19PJ165)

Risk factors of bacterial infection in patients with decompensated cirrhosis and the value of early diagnosis by inflammatory indicators

YU Bin-bin, WU Jun, LU Yi-jun, XIANG Qian   

  1. Department of Gastroenterology,Chengdu Sixth People′s Hospital, Chengdu 610051, China
  • Received:2024-12-27 Published:2025-09-19

摘要: 目的 探讨失代偿期肝硬化患者并发细菌感染的危险因素及炎症指标的早期诊断价值。 方法 选择2022年1月至2023年12月我院收治的失代偿期肝硬化患者278例并进行回顾性分析,根据患者是否伴有细菌感染分为感染组102例(n=102)、非感染组176例(n=176),分析感染的临床特点,并采用多因素logistic回归模型分析失代偿期肝硬化患者并发细菌感染的危险因素,采用受试者工作特征(ROC)曲线,计算白细胞计数(WBC)、中性粒细胞与淋巴细胞计数比值(NLR)、C反应蛋白(CRP)及降钙素原(PCT)对失代偿期肝硬化并发细菌感染的早期诊断价值。 结果 失代偿期肝硬化易并发呼吸道感染及自发性腹膜炎, 102例感染的患者中,病原菌以大肠埃希菌(36.8%)、肺炎克雷伯菌(22.8%)为主。多因素分析提示,合并糖尿病、合并上消化道出血、Child-Pugh分级C级是肝硬化患者并发细菌感染的危险因素。经ROC曲线计算出诊断失代偿期肝硬化并发细菌感染的临床参考值:WBC的临床参考值为6.25×109/L(AUC=0.787,P<0.05,95%CI为0.720~0.855)、NLR的临床参考值为3.17(AUC=0.706,P<0.05,95%CI为0.631~0.781)、CRP的临床参考值为15.19mg/L(AUC=0.621,P<0.05,95%CI为0.536~0.707)、降钙素原的临床参考值为0.335 ng/mL(AUC=0.835,P<0.05,95%CI为0.774~0.895),四者联合诊断的灵敏度为90.6%、特异度为64.3%。 结论 失代偿期肝硬化易并发呼吸道感染及自发性腹膜炎,病原菌以大肠埃希菌、肺炎克雷伯菌为主,合并糖尿病、并发上消化道出血及Child-Pugh分级为C级的肝硬化患者易发生细菌感染。在临床诊疗过程中对有上述危险因素的失代偿期肝硬化患者应动态监测其WBC、NLR、CRP、PCT等炎症指标,以早期发现潜在的感染,尽早治疗,改善预后。

关键词: 肝硬化, 细菌感染, 危险因素, 炎症指标

Abstract: Objective To investigate the risk factors of bacterial infection in patients with decompensated cirrhosis and the value of early diagnosis by inflammation index. Methods A retrospective analysis was performed on 278 patients with decompensated cirrhosis admitted to our hospital from January 2022 to December 2023. According to whether the patients were accompanied by bacterial infection, they were divided into an infected group (102 cases) and a non-infected group (176 cases). The clinical characteristics of infection were analyzed. Multiple logistic regression was used to analyze the risk factors of decompensated cirrhosis complicated with bacterial infection. The value of white blood cell count (WBC), neutrophil to lymphocyte count ratio (NLR), C-reactive protein (CRP) and procalcitonin (PCT) in early diagnosis of decompensated cirrhosis complicated with bacterial infection was calculated by receiver operating characteristic curve (ROC). Results Decompensated cirrhosis is prone to complications of respiratory tract infection and spontaneous peritonitis, and the pathogenic bacteria are mainly Escherichia coli (36.8%) and Klebsiella pneumoniae (22.8%). Multivariate analysis suggests that diabetes mellitus, upper gastrointestinal hemorrhage, and Child-Pugh grade C are the risk factors of bacterial infection in cirrhosis patients. The clinical reference value for the diagnosis of decompensated cirrhosis complicated with bacterial infection was calculated by ROC curve: the clinical reference value of WBC was 6.25×109/L (AUC=0.787, P<0.05, 95%CI 0.720~0.855), and the clinical reference value of NLR was 3.17 (AUC=0.706, P<0.05, 95%CI 0.631~0.781), the clinical reference value of CRP was 15.19 mg/L (AUC=0.621, P<0.05, 95%CI 0.536~0.707), and the clinical reference value of procalcitonin was 0.335ng/mL (AUC=0.835, P<0.05, 95%CI 0.774~0.895), the sensitivity and specificity of the combined diagnosis were 90.6% and 64.3%, respectively. Conclusion Patients with decompensated cirrhosis are prone to complicated with respiratory tract infection and spontaneous peritonitis, mainly caused by Escherichia coli and Klebsiella pneumoniae. Patients with cirrhosis combined with diabetes, upper gastrointestinal hemorrhage and Child-Pugh grade C are prone to bacterial infection. During clinical diagnosis and treatment, the WBC count, NLR, C-reactive protein, procalcitonin and other inflammatory indicators should be dynamically monitored for patients with decompensated cirrhosis with the abovel risk factors, so as to early detect and promptly treat potential infection and improve prognosis.

Key words: Liver cirrhosis, Infection, Risk factors, Inflammatory index