{"title":"丙型肝炎病毒根除后肝癌风险的预测模型。","authors":"Wei-Fan Hsu, Ching-Chu Lo, Kuo-Chih Tseng, Hsueh-Chou Lai, Chi-Yi Chen, Cheng-Yuan Peng","doi":"10.2147/JHC.S548870","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The predictors of hepatocellular carcinoma (HCC) in patients with chronic hepatitis C (CHC) and a sustained virologic response after direct-acting antiviral therapy are not well known.</p><p><strong>Patients and methods: </strong>Between September 2012 and March 2022, this retrospective study enrolled 4426 consecutive patients from 4 hospitals in Taiwan. The patients were divided into derivation (n = 3178) and validation (n = 1248) groups.</p><p><strong>Results: </strong>In the derivation group, age, diabetes mellitus, platelet, albumin, and alpha-fetoprotein at 12 weeks after antiviral therapy were independent predictors of hepatocellular carcinoma. We incorporated these predictors into a novel risk prediction model called the AAAPD-C score (<b>a</b>ge, <b>a</b>lbumin, <b>a</b>lpha-fetoprotein level, <b>p</b>latelet count, and <b>d</b>iabetes mellitus status), with total risk scores ranging from 0 to 12. The AAAPD-C score had an area under the receiver operating characteristic curve of 0.867 for the validation group at the end of follow-up. The risk score accurately classified patients in both groups into those with low, medium, and high risks. Patients without advanced liver fibrosis with medium-high AAAPD-C risk scores (4-12) had an annual incidence of HCC >4 per 1000 person-years.</p><p><strong>Conclusion: </strong>The AAAPD-C score can predict the risk of HCC in patients with chronic hepatitis C and a sustained virologic response after direct-acting antiviral therapy. The tool is accurate and inexpensive, and clinicians can use it to identify patients with chronic hepatitis C at risk of HCC following viral eradication.</p>","PeriodicalId":15906,"journal":{"name":"Journal of Hepatocellular Carcinoma","volume":"12 ","pages":"2327-2339"},"PeriodicalIF":3.4000,"publicationDate":"2025-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12533496/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.\",\"authors\":\"Wei-Fan Hsu, Ching-Chu Lo, Kuo-Chih Tseng, Hsueh-Chou Lai, Chi-Yi Chen, Cheng-Yuan Peng\",\"doi\":\"10.2147/JHC.S548870\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The predictors of hepatocellular carcinoma (HCC) in patients with chronic hepatitis C (CHC) and a sustained virologic response after direct-acting antiviral therapy are not well known.</p><p><strong>Patients and methods: </strong>Between September 2012 and March 2022, this retrospective study enrolled 4426 consecutive patients from 4 hospitals in Taiwan. The patients were divided into derivation (n = 3178) and validation (n = 1248) groups.</p><p><strong>Results: </strong>In the derivation group, age, diabetes mellitus, platelet, albumin, and alpha-fetoprotein at 12 weeks after antiviral therapy were independent predictors of hepatocellular carcinoma. We incorporated these predictors into a novel risk prediction model called the AAAPD-C score (<b>a</b>ge, <b>a</b>lbumin, <b>a</b>lpha-fetoprotein level, <b>p</b>latelet count, and <b>d</b>iabetes mellitus status), with total risk scores ranging from 0 to 12. The AAAPD-C score had an area under the receiver operating characteristic curve of 0.867 for the validation group at the end of follow-up. The risk score accurately classified patients in both groups into those with low, medium, and high risks. Patients without advanced liver fibrosis with medium-high AAAPD-C risk scores (4-12) had an annual incidence of HCC >4 per 1000 person-years.</p><p><strong>Conclusion: </strong>The AAAPD-C score can predict the risk of HCC in patients with chronic hepatitis C and a sustained virologic response after direct-acting antiviral therapy. The tool is accurate and inexpensive, and clinicians can use it to identify patients with chronic hepatitis C at risk of HCC following viral eradication.</p>\",\"PeriodicalId\":15906,\"journal\":{\"name\":\"Journal of Hepatocellular Carcinoma\",\"volume\":\"12 \",\"pages\":\"2327-2339\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12533496/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hepatocellular Carcinoma\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/JHC.S548870\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hepatocellular Carcinoma","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JHC.S548870","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.
Purpose: The predictors of hepatocellular carcinoma (HCC) in patients with chronic hepatitis C (CHC) and a sustained virologic response after direct-acting antiviral therapy are not well known.
Patients and methods: Between September 2012 and March 2022, this retrospective study enrolled 4426 consecutive patients from 4 hospitals in Taiwan. The patients were divided into derivation (n = 3178) and validation (n = 1248) groups.
Results: In the derivation group, age, diabetes mellitus, platelet, albumin, and alpha-fetoprotein at 12 weeks after antiviral therapy were independent predictors of hepatocellular carcinoma. We incorporated these predictors into a novel risk prediction model called the AAAPD-C score (age, albumin, alpha-fetoprotein level, platelet count, and diabetes mellitus status), with total risk scores ranging from 0 to 12. The AAAPD-C score had an area under the receiver operating characteristic curve of 0.867 for the validation group at the end of follow-up. The risk score accurately classified patients in both groups into those with low, medium, and high risks. Patients without advanced liver fibrosis with medium-high AAAPD-C risk scores (4-12) had an annual incidence of HCC >4 per 1000 person-years.
Conclusion: The AAAPD-C score can predict the risk of HCC in patients with chronic hepatitis C and a sustained virologic response after direct-acting antiviral therapy. The tool is accurate and inexpensive, and clinicians can use it to identify patients with chronic hepatitis C at risk of HCC following viral eradication.