|Table of Contents|

Construction and application of clinical diagnostic model for spontaneous peritonitis in patients with primary liver cancer

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2024 19
Page:
3718-3725
Research Field:
Publishing date:

Info

Title:
Construction and application of clinical diagnostic model for spontaneous peritonitis in patients with primary liver cancer
Author(s):
WEI Hongyan1; 2; WANG Yuanzhen1; CHANG Lixian2; MU Huan2; LIU Chunyun2; LIU Li2
1.School of Public Health,Dali University,Yunnan Dali 671000,China;2.Department of Hepatology and Immunology,Kunming Third People's Hospital,Yunnan Clinical Center for Infectious Diseases,Yunnan Kunming 650041,China.
Keywords:
primary liver cancer; spontaneous peritonitis; the influencing factors; diagnostic model
PACS:
R735.7
DOI:
10.3969/j.issn.1672-4992.2024.19.016
Abstract:
Objective:To study the influencing factors of spontaneous peritonitis in patients with primary liver cancer,and to establish and evaluate a nomogram prediction model.Methods:A total of 1 538 primary liver cancer patients who were first hospitalized in Kunming Third People's Hospital from January 2012 to December 2022 were selected as the study subjects.They were divided into infection group and control group according to whether they were complicated with spontaneous peritonitis.Firstly,univariate and Lasso regression analysis were used to screen variables,and then multivariate logistic regression was used to analyze the influencing factors of spontaneous peritonitis in patients with primary liver cancer and establish a nomogram prediction model.Finally,the calibration curve,receiver operating characteristic (ROC) curve,clinical decision curve analysis (DCA) and clinical impact curve (CIC) were used to evaluate the nomogram prediction model.Results:Among 1 538 patients with primary liver cancer,365 patients with spontaneous peritonitis were enrolled as the infection group,and 1 173 patients without spontaneous peritonitis were enrolled as the control group.Univariate analysis showed that,in the infection group,drinking,smoking,CNLC stage,Child-Pugh classification,portal vein tumor thrombus,ascites,WBC,Hb,LYM,NE,TBil,GGT,AST,ALT,ALB,GLO,Cr,UA,AFP,CEA,PIVKA-Ⅱ,PCT,SAA,IL-6,CRP,IL-4,CD3,CD4,CD8 and other aspects compared with control group were statistically significant (P＜0.05).These variables were included in Lasso regression for variable screening,and 6 variables were selected,which were Child-Pugh classification,portal vein tumor thrombus,ascites,WBC,ALB and CRP.The results of multivariate logistic regression analysis showed that the influencing factors of spontaneous peritonitis in patients with primary liver cancer were Child-Pugh classification,portal vein tumor thrombus,ascites,WBC and CRP.The nomogram prediction model was constructed and evaluated by using these five variables.The area under curve (AUC) of ROC curve was 0.850.The sensitivity was 0.789,and the specificity was 0.744.The calibration curve was basically consistent with the ideal curve,and the average absolute error was 0.015.Conclusion:The influencing factors of spontaneous peritonitis in patients with primary liver cancer are Child-Pugh classification,portal vein tumor thrombus,ascites,WBC and CRP.The nomogram prediction model is constructed using these five variables,and the evaluation found that the accuracy of these five variables in predicting spontaneous peritonitis is high,and the predicted value is highly consistent with the actual value.This model has certain clinical practicability.

References:

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Memo

Memo:
云南省昆明市卫生健康委员会科研项目基金（编号：2023-03-08-001，2022-03-08-008）
Last Update: 2024-08-30