RAR-Based Prognostic Model for Predicting Overall Survival in Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter Study
Maoqing Tan,1,* Yifan Liu,2,3,* Wei Dai,1,* Yanling Chen,4 Danni Cai,1 Baomin Chen,3 Jing Wang,1 Ruolan You,1 Dongliang Li,5 Huifang Huang1 1Central Laboratory, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People’s Republic of China; 2First Ce...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2025-07-01
|
| Series: | Journal of Inflammation Research |
| Subjects: | |
| Online Access: | https://www.dovepress.com/rar-based-prognostic-model-for-predicting-overall-survival-in-hepatiti-peer-reviewed-fulltext-article-JIR |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849320732462415872 |
|---|---|
| author | Tan M Liu Y Dai W Chen Y Cai D Chen B Wang J You R Li D Huang H |
| author_facet | Tan M Liu Y Dai W Chen Y Cai D Chen B Wang J You R Li D Huang H |
| author_sort | Tan M |
| collection | DOAJ |
| description | Maoqing Tan,1,* Yifan Liu,2,3,* Wei Dai,1,* Yanling Chen,4 Danni Cai,1 Baomin Chen,3 Jing Wang,1 Ruolan You,1 Dongliang Li,5 Huifang Huang1 1Central Laboratory, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People’s Republic of China; 2First Central Clinic Institute, Tianjin Medical University, Tianjin, People’s Republic of China; 3Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510000, People’s Republic of China; 4Department of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People’s Republic of China; 5Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University (900TH Hospital of Joint Logistics Support Force), Fuzhou, Fujian, 350025, People’s Republic of China*These authors contributed equally to this workCorrespondence: Huifang Huang, Central Laboratory, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People’s Republic of China, Tel +8613365910318, Fax +86 591-87113828, Email huanghuif@fjmu.edu.cn Dongliang Li, Department of Hepatobiliary Disease, 900TH Hospital of Joint Logistics Support Force, Xi Er Huan Bei Road, Fuzhou, Fujian, 350025, People’s Republic of China, Tel +8613665052006, Fax +86 591-22859128, Email dongliangli93@163.comPurpose: Hepatitis B virus-related hepatocellular carcinoma poses a significant global health challenge. This study aimed to develop and validate a novel prognostic nomogram integrating the red blood cell distribution width-to-albumin ratio for predicting patients’ overall survival.Patients and Methods: A retrospective cohort of 1403 patients was divided into training, internal validation, and external validation cohorts. A multivariate Cox regression model selected variables to construct a nomogram and an online calculator, which were subsequently validated.Results: The ratio emerged as an independent risk factor for long-term survival (hazard ratio: 5.808, 95% confidence interval: 1.721– 19.599). A prognostic nomogram incorporating nine variables based on the ratio was developed. Calibration curves demonstrated high concordance between the predicted and actual 3-year survival rates. Decision curve analysis indicated that the nomogram significantly increased the net benefit of predicting 3-year survival. Based on the area under the receiver operating characteristic curves, the nomogram outperformed traditional models in predicting survival across the three cohorts. Patients were stratified into low-, intermediate-, and high-risk groups based on risk scores calculated from the nomogram. In all cohorts, the median survival time of the high-risk group was significantly shorter than that of the intermediate- and low-risk groups. An online calculator, deployed via a web-based platform, facilitated convenient mortality risk prediction for these patients.Conclusion: The ratio-based nomogram we developed can accurately predict the survival of patients with hepatitis B virus-related hepatocellular carcinoma, serving as an effective auxiliary tool for clinical personalized treatment and prognostic assessment. Keywords: albumin, hepatitis B virus-related hepatocellular carcinoma, nomogram, prognosis, red blood cell distribution width |
| format | Article |
| id | doaj-art-50b769edeb814c4097b77f059f2dda1f |
| institution | Kabale University |
| issn | 1178-7031 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Dove Medical Press |
| record_format | Article |
| series | Journal of Inflammation Research |
| spelling | doaj-art-50b769edeb814c4097b77f059f2dda1f2025-08-20T03:50:00ZengDove Medical PressJournal of Inflammation Research1178-70312025-07-01Volume 18Issue 191599170104735RAR-Based Prognostic Model for Predicting Overall Survival in Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter StudyTan M0Liu Y1Dai W2Chen Y3Cai D4Chen B5Wang J6You R7Li D8Huang H9Central LaboratoryDepartment of Hepatobiliary SurgeryCentral LaboratoryDepartment of Hepatobiliary SurgeryCentral LaboratoryDepartment of Hepatobiliary SurgeryCentral LaboratoryCentral LaboratoryDepartment of Hepatobiliary DiseaseCentral LaboratoryMaoqing Tan,1,* Yifan Liu,2,3,* Wei Dai,1,* Yanling Chen,4 Danni Cai,1 Baomin Chen,3 Jing Wang,1 Ruolan You,1 Dongliang Li,5 Huifang Huang1 1Central Laboratory, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People’s Republic of China; 2First Central Clinic Institute, Tianjin Medical University, Tianjin, People’s Republic of China; 3Department of Hepatobiliary Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510000, People’s Republic of China; 4Department of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, 350001, People’s Republic of China; 5Department of Hepatobiliary Disease, Fuzong Clinical Medical College of Fujian Medical University (900TH Hospital of Joint Logistics Support Force), Fuzhou, Fujian, 350025, People’s Republic of China*These authors contributed equally to this workCorrespondence: Huifang Huang, Central Laboratory, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People’s Republic of China, Tel +8613365910318, Fax +86 591-87113828, Email huanghuif@fjmu.edu.cn Dongliang Li, Department of Hepatobiliary Disease, 900TH Hospital of Joint Logistics Support Force, Xi Er Huan Bei Road, Fuzhou, Fujian, 350025, People’s Republic of China, Tel +8613665052006, Fax +86 591-22859128, Email dongliangli93@163.comPurpose: Hepatitis B virus-related hepatocellular carcinoma poses a significant global health challenge. This study aimed to develop and validate a novel prognostic nomogram integrating the red blood cell distribution width-to-albumin ratio for predicting patients’ overall survival.Patients and Methods: A retrospective cohort of 1403 patients was divided into training, internal validation, and external validation cohorts. A multivariate Cox regression model selected variables to construct a nomogram and an online calculator, which were subsequently validated.Results: The ratio emerged as an independent risk factor for long-term survival (hazard ratio: 5.808, 95% confidence interval: 1.721– 19.599). A prognostic nomogram incorporating nine variables based on the ratio was developed. Calibration curves demonstrated high concordance between the predicted and actual 3-year survival rates. Decision curve analysis indicated that the nomogram significantly increased the net benefit of predicting 3-year survival. Based on the area under the receiver operating characteristic curves, the nomogram outperformed traditional models in predicting survival across the three cohorts. Patients were stratified into low-, intermediate-, and high-risk groups based on risk scores calculated from the nomogram. In all cohorts, the median survival time of the high-risk group was significantly shorter than that of the intermediate- and low-risk groups. An online calculator, deployed via a web-based platform, facilitated convenient mortality risk prediction for these patients.Conclusion: The ratio-based nomogram we developed can accurately predict the survival of patients with hepatitis B virus-related hepatocellular carcinoma, serving as an effective auxiliary tool for clinical personalized treatment and prognostic assessment. Keywords: albumin, hepatitis B virus-related hepatocellular carcinoma, nomogram, prognosis, red blood cell distribution widthhttps://www.dovepress.com/rar-based-prognostic-model-for-predicting-overall-survival-in-hepatiti-peer-reviewed-fulltext-article-JIRAlbuminHepatitis B virus-related hepatocellular carcinomaNomogramPrognosisRed blood cell distribution width |
| spellingShingle | Tan M Liu Y Dai W Chen Y Cai D Chen B Wang J You R Li D Huang H RAR-Based Prognostic Model for Predicting Overall Survival in Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter Study Journal of Inflammation Research Albumin Hepatitis B virus-related hepatocellular carcinoma Nomogram Prognosis Red blood cell distribution width |
| title | RAR-Based Prognostic Model for Predicting Overall Survival in Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter Study |
| title_full | RAR-Based Prognostic Model for Predicting Overall Survival in Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter Study |
| title_fullStr | RAR-Based Prognostic Model for Predicting Overall Survival in Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter Study |
| title_full_unstemmed | RAR-Based Prognostic Model for Predicting Overall Survival in Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter Study |
| title_short | RAR-Based Prognostic Model for Predicting Overall Survival in Hepatitis B Virus-Related Hepatocellular Carcinoma: A Multicenter Study |
| title_sort | rar based prognostic model for predicting overall survival in hepatitis b virus related hepatocellular carcinoma a multicenter study |
| topic | Albumin Hepatitis B virus-related hepatocellular carcinoma Nomogram Prognosis Red blood cell distribution width |
| url | https://www.dovepress.com/rar-based-prognostic-model-for-predicting-overall-survival-in-hepatiti-peer-reviewed-fulltext-article-JIR |
| work_keys_str_mv | AT tanm rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT liuy rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT daiw rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT cheny rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT caid rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT chenb rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT wangj rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT your rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT lid rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy AT huangh rarbasedprognosticmodelforpredictingoverallsurvivalinhepatitisbvirusrelatedhepatocellularcarcinomaamulticenterstudy |