Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
환자: chronic hepatitis C (CHC) and a sustained virologic response after direct-acting antiviral therapy are not well known
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[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.
[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.
- 표본수 (n) 3178
APA
Hsu WF, Lo CC, et al. (2025). Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.. Journal of hepatocellular carcinoma, 12, 2327-2339. https://doi.org/10.2147/JHC.S548870
MLA
Hsu WF, et al.. "Prediction Model for Risk of Hepatocellular Carcinoma After Hepatitis C Viral Eradication.." Journal of hepatocellular carcinoma, vol. 12, 2025, pp. 2327-2339.
PMID
41112327 ↗
Abstract 한글 요약
[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 (ge, lbumin, lpha-fetoprotein level, latelet count, and 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.
[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.
[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 (ge, lbumin, lpha-fetoprotein level, latelet count, and 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.
[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.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
같은 제1저자의 인용 많은 논문 (2)
🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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- HCC risk stratification scores: insights from large multi-center national cohort study.
- A Rare Presentation of Right-Sided Pleural Effusion in Decompensated Chronic Liver Disease Secondary to Hepatitis C Infection: A Case Report.
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