ICG⁃R15⁃based clinical prediction model of liver failure after hepatectomy for hepatocellular carcinoma
10.19405/j.cnki.issn1000-1492.2023.09.026
- Author:
Sicheng Zhang
1
Author Information
1. Dept of Hepatobiliary surgery , The Second Afiliated Hospital of Anhui Medical University, Hefei 230601
- Publication Type:Journal Article
- Keywords:
hepatocellular carcinoma;
indocyanine green;
liver failure;
nomogram;
risk factors
- From:
Acta Universitatis Medicinalis Anhui
2023;58(9):1593-1598
- CountryChina
- Language:Chinese
-
Abstract:
Objective : To establish a Nomogram clinical predictive model of liver failure (PHLF) after hepatectomy for hepatocellular carcinoma (HCC) based on ICG⁃R15 .
Methods :Clinical data of 219 patients with hepatocellular carcinoma who underwent radical hepatectomy in the second affiliated Hospital of Anhui Medical University from February 2017 to March 2022 were analyzed retrospectively . The influencing factors of PHLF were screened by Logistics regression and the Nomogram model for predicting the occurrence of PHLF was established . Compared with the traditional model , its predictive efficiency was tested .
Results : In this study , ICG⁃R15 ( OR = 1 . 07 , P < 0. 05) , PLT ( OR = 0. 99 , P < 0. 05) , INR ( OR = 1 . 50 , P < 0. 05) , HBV⁃DNA > 1000IU ( OR = 2. 26 , P < 0. 05) , AFP > 400ng/L ( OR = 2. 60 , P < 0. 05) and open surgery ( OR = 0. 26 , P < 0. 05) were the influencing factors of PHLF . A Nomogram prediction model was established based on these factors , and through ROC and DCA analysis , it was found that the prediction efficiency and clinical value of this model were better than those of the traditional model .
Conclusion : The Nomogram clinical predictive model of hepatocellular carcinoma (HCC) PHLF is successfully established based on ICG⁃R15 .
- Full text:2024081410030190049基于ICG-R15的肝细胞...肝衰竭的列线图临床预测模型_张思成.pdf
