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Interaction between coagulation and inflammatory system in liver disease: re-focus on hematological markers.
Lu, Liuyi; Zhu, Chunling; Zhou, Dongyi; Li, Siting; Yi, Liling; Wei, Shangmou; Peng, Qiliu.
Affiliation
  • Lu L; Department of Clinical Laboratory, Guangxi International Zhuang Medicine Hospital, Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530201, China.
  • Zhu C; Department of Clinical Laboratory, Guangxi International Zhuang Medicine Hospital, Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530201, China.
  • Zhou D; Department of Clinical Laboratory, Guangxi International Zhuang Medicine Hospital, Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530201, China.
  • Li S; Department of Clinical Laboratory, Guangxi International Zhuang Medicine Hospital, Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530201, China.
  • Yi L; Department of Clinical Laboratory, Guangxi International Zhuang Medicine Hospital, Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530201, China.
  • Wei S; Department of Clinical Laboratory, Guangxi International Zhuang Medicine Hospital, Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530201, China.
  • Peng Q; Department of Clinical Laboratory, Guangxi International Zhuang Medicine Hospital, Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, 530201, China.
Biomark Med ; : 1-10, 2024 Sep 04.
Article in En | MEDLINE | ID: mdl-39229800
ABSTRACT

Aim:

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.

Methods:

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.

Results:

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.

Conclusion:

The coagulation and inflammation systems interact, are connected and play essential roles in the liver.
[Box see text].
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biomark Med / Biomark. med. (Online) / Biomarkers in medicine (Online) Journal subject: BIOQUIMICA / MEDICINA Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Biomark Med / Biomark. med. (Online) / Biomarkers in medicine (Online) Journal subject: BIOQUIMICA / MEDICINA Year: 2024 Document type: Article Affiliation country: China Country of publication: United kingdom