Department of Clinical Laboratory, Guangxi International Zhuang Medicine Hospital, Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530201, China.
Biomark Med. 2024;18(19):813-822. doi: 10.1080/17520363.2024.2395245. Epub 2024 Sep 4.
This study uses blood routine, coagulation and biochemical indicators to explore the relationship between the hematological parameters of patients with various types of liver diseases. The Kruskal-Wallis, Chi-squared and Fisher exact tests were used to compare the hematological parameters and clinical characteristics of three groups of patients with different degrees of liver disease. Spearman correlation analysis is used to analyze the correlation between two continuous variables. The logistic regression model evaluated the odds ratio between variables and disease changes. Receiver operating characteristic curve analysis was used to understand the predictive value of each index in relation to the progress of liver disease. There are differences in inflammation and coagulation profiles among different types of liver diseases and there is a correlation between them. In addition to the traditional marker α-fetoprotein, the inflammatory marker c-reactive protein and the coagulation marker D-dimer also have good diagnostic value for liver injury. The coagulation and inflammation systems interact, are connected and play essential roles in the liver.
本研究使用血常规、凝血和生化指标来探讨各种类型肝病患者的血液学参数之间的关系。采用 Kruskal-Wallis、卡方和 Fisher 确切检验比较三组不同程度肝病患者的血液学参数和临床特征。Spearman 相关分析用于分析两个连续变量之间的相关性。Logistic 回归模型评估变量之间的比值比与疾病变化的关系。接收者操作特征曲线分析用于了解每个指标与肝病进展相关的预测价值。不同类型的肝病在炎症和凝血特征方面存在差异,且它们之间存在相关性。除了传统标志物甲胎蛋白外,炎症标志物 C 反应蛋白和凝血标志物 D-二聚体对肝损伤也具有良好的诊断价值。凝血和炎症系统相互作用、相互关联,在肝脏中发挥着重要作用。