Combined DeRitis ratio and alkaline phosphatase on the prediction of portal vein tumor thrombosis in patients with hepatocellular carcinoma

Portal vein tumor thrombosis (PVTT) is one of the common complications of HCC and represents a sign of poor prognosis. PVTT signifies advanced liver cancer, deteriorating liver function, and heightened susceptibility to intrahepatic dissemination, systemic metastasis, and complications related to portal hypertension. It is important to seek novel strategies for PVTT arising from HCC. Portal vein tumor thrombus (PVTT) in hepatocellular carcinoma (HCC) represents a worse liver function, less treatment tolerance, and poor prognosis. This study aimed to investigate the diagnostic value of the combination of the DeRitis ratio (AST/ALT) and alkaline phosphatase (ALP) index (briefly named DALP) in predicting the occurrence risk of PVTT in patients with HCC. We performed a retrospective study enrolling consecutive patients with HCC from January 2017 to December 2020 in Hebei Medical University Third Hospital. ROC analysis was performed to estimate the predictive effectiveness and optimal cut-off value of DALP for PVTT occurrence in patients with HCC. Kaplan-Meier analysis revealed the survival probabilities in each subgroup according to the risk classification of DALP value. Univariate and multivariate Logistics regression analyses were applied to determine the independent risk for poor prognosis. ROC analysis revealed that the optimal cut-off value for DALP was 1.045, with an area under the curve (AUC) of 0.793 (95% CI 0.697-0.888). Based on the DALP classification (three scores: 0-2) with distinguishable prognoses, patients in the score 0 group had the best prognosis with a 1-year overall survival (OS) of 100%, whereas score 2 patients had the worst prognosis with 1-year OS of 72.4%. Similarly, there was a statistically different recurrence-free survival among the three groups. Besides, this risk classification was also associated with PVTT progression in HCC patients (odds ratio [OR] 5.822, P < 0.0001). Pathologically, patients in the score 2 group had more advanced tumors considering PVTT, extrahepatic metastasis, and ascites than those in score 0, 1 groups. Moreover, patients with a score of 2 had more severe hepatic inflammation than other groups. Combination of DeRitis ratio and ALP index presented a better predictive value for PVTT occurrence in patients with HCC, contributing to the tertiary prevention.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-09-16
DOI
https://doi.org/10.1038/s41598-024-72291-5
Citations
4
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
1.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Combined DeRitis ratio and alkaline phosphatase on the prediction of portal vein tumor thrombosis in patients with hepatocellular carcinoma

Shiya Zhang, Dong Ma, Yunjing Zhang, Yuemin Nan et al.
4 citations
Scientific Reports
Hepatocellular Carcinoma Treatment and Prognosis
1.48
article

Combined DeRitis ratio and alkaline phosphatase on the prediction of portal vein tumor thrombosis in patients with hepatocellular carcinoma

Shiya Zhang, Dong Ma, Yunjing Zhang, Yuemin Nan, Tongguo Miao
article en
4 citations

Abstract

Portal vein tumor thrombosis (PVTT) is one of the common complications of HCC and represents a sign of poor prognosis. PVTT signifies advanced liver cancer, deteriorating liver function, and heightened susceptibility to intrahepatic dissemination, systemic metastasis, and complications related to portal hypertension. It is important to seek novel strategies for PVTT arising from HCC. Portal vein tumor thrombus (PVTT) in hepatocellular carcinoma (HCC) represents a worse liver function, less treatment tolerance, and poor prognosis. This study aimed to investigate the diagnostic value of the combination of the DeRitis ratio (AST/ALT) and alkaline phosphatase (ALP) index (briefly named DALP) in predicting the occurrence risk of PVTT in patients with HCC. We performed a retrospective study enrolling consecutive patients with HCC from January 2017 to December 2020 in Hebei Medical University Third Hospital. ROC analysis was performed to estimate the predictive effectiveness and optimal cut-off value of DALP for PVTT occurrence in patients with HCC. Kaplan-Meier analysis revealed the survival probabilities in each subgroup according to the risk classification of DALP value. Univariate and multivariate Logistics regression analyses were applied to determine the independent risk for poor prognosis. ROC analysis revealed that the optimal cut-off value for DALP was 1.045, with an area under the curve (AUC) of 0.793 (95% CI 0.697-0.888). Based on the DALP classification (three scores: 0-2) with distinguishable prognoses, patients in the score 0 group had the best prognosis with a 1-year overall survival (OS) of 100%, whereas score 2 patients had the worst prognosis with 1-year OS of 72.4%. Similarly, there was a statistically different recurrence-free survival among the three groups. Besides, this risk classification was also associated with PVTT progression in HCC patients (odds ratio [OR] 5.822, P < 0.0001). Pathologically, patients in the score 2 group had more advanced tumors considering PVTT, extrahepatic metastasis, and ascites than those in score 0, 1 groups. Moreover, patients with a score of 2 had more severe hepatic inflammation than other groups. Combination of DeRitis ratio and ALP index presented a better predictive value for PVTT occurrence in patients with HCC, contributing to the tertiary prevention.

Scientific ReportsVol. 14(1)
Hebei Medical University (CN), North China University of Science and Technology (CN), Third Hospital of Hebei Medical University (CN)
Hebei Medical University, Hebei Provincial Key Research Projects
No poverty
Openalex Percentile: Top 17%
Hepatocellular Carcinoma Treatment and Prognosis
1.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.