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Development of a predictive nomogram for early recurrence of hepatocellular carcinoma in patients undergoing liver transplantation
- Source :
- Ann Transl Med
- Publication Year :
- 2021
- Publisher :
- AME Publishing Company, 2021.
-
Abstract
- Background An individual prognostic model that includes inflammation caused by the delayed recovery of liver function after surgery for the early recurrence of hepatocellular carcinoma (HCC) following liver transplantation (LT) has not been well determined. Our aim was to develop a nomogram model for predicting individual survival and early recurrence following LT for patients. Methods Retrospective data, including clinical pathology and follow-up data, on HCC patients were collected between October 2016 and October 2019 at Huashan Hospital Affiliated to Fudan University. A nomogram estimating recurrence post-transplantation was constructed using multivariate Cox regression analysis. Results A total of 210 patients were included in the present study. The multivariate estimators of recurrence consisted of age, maximum tumor diameter, tumor thrombus, microvascular invasion (MVI), alanine aminotransferase and alpha-fetoprotein on postoperative day 7. Nomogram of recurrence-free survival was developed. The calibration and discrimination of the novel model were assessed with the calibration curves and concordance index (C-index). Its reliability and advantages were evaluated by comparing it with the conventional American Joint Committee on Cancer (AJCC) 8th edition staging system using integrated discrimination improvement (IDI) and net reclassification improvement (NRI). In comparison to the AJCC 8th edition staging system, the C-index (development set: 0.796 vs. 0.643, validation set: 0.741 vs. 0.563), the area under the receiver operating characteristic curve (AUC) of the validation set (1-year AUC: 0.732 vs. 0.586, 2-year AUC: 0.705 vs. 0.504), the development set (1-year AUC: 0.799 vs. 0.551, 2-year AUC: 0.801 vs. 0.512), and this model's calibration plots all showed improved performance. In addition, NRI and IDI verified that the nomogram is an accurate prognostic tool. Subsequently, a web calculator was generated to assess the risk of tumor recurrence post-LT. Conclusions The nomogram, based on clinical and pathological factors, showed good accuracy in estimating prognostic recurrence and can be used to guide individual patient follow-up and treatment.
- Subjects :
- medicine.medical_specialty
Clinical pathology
Receiver operating characteristic
Proportional hazards model
business.industry
medicine.medical_treatment
Cancer
General Medicine
Nomogram
Liver transplantation
medicine.disease
03 medical and health sciences
0302 clinical medicine
030220 oncology & carcinogenesis
Hepatocellular carcinoma
Medicine
030211 gastroenterology & hepatology
Original Article
Liver function
Radiology
business
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Ann Transl Med
- Accession number :
- edsair.doi.dedup.....cc7d8988e246eb9038569615ef8517cc