Prediction model for hepatocellular carcinoma occurrence in patients with hepatitis C in the era of direct-acting anti-virals.


Journal

Alimentary pharmacology & therapeutics
ISSN: 1365-2036
Titre abrégé: Aliment Pharmacol Ther
Pays: England
ID NLM: 8707234

Informations de publication

Date de publication:
11 2021
Historique:
revised: 24 03 2021
received: 25 02 2021
accepted: 23 09 2021
pubmed: 8 10 2021
medline: 29 10 2021
entrez: 7 10 2021
Statut: ppublish

Résumé

Several factors associated with hepatocellular carcinoma (HCC) occurrence after sustained virological response (SVR) in patients with hepatitis C have been reported. However, few validation studies have been performed in the era of direct-acting anti-virals (DAAs). To develop a prediction model for HCC occurrence after DAA-mediated SVR and validate its usefulness. We analysed 2209 patients with SVR and without a history of HCC who initiated DAA treatment at 24 Japanese hospitals. These patients were divided into a training set (1473 patients) and a validation set (736 patients). In the training set, multivariate Cox proportional hazards analysis showed that the baseline BMI (≥25.0 kg/m A prediction model combining these four factors contributes to an efficient surveillance strategy for HCC occurrence after DAA-mediated SVR.

Sections du résumé

BACKGROUND
Several factors associated with hepatocellular carcinoma (HCC) occurrence after sustained virological response (SVR) in patients with hepatitis C have been reported. However, few validation studies have been performed in the era of direct-acting anti-virals (DAAs).
AIMS
To develop a prediction model for HCC occurrence after DAA-mediated SVR and validate its usefulness.
METHODS
We analysed 2209 patients with SVR and without a history of HCC who initiated DAA treatment at 24 Japanese hospitals. These patients were divided into a training set (1473 patients) and a validation set (736 patients).
RESULTS
In the training set, multivariate Cox proportional hazards analysis showed that the baseline BMI (≥25.0 kg/m
CONCLUSION
A prediction model combining these four factors contributes to an efficient surveillance strategy for HCC occurrence after DAA-mediated SVR.

Identifiants

pubmed: 34618934
doi: 10.1111/apt.16632
doi:

Substances chimiques

Antiviral Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1340-1349

Commentaires et corrections

Type : CommentIn
Type : CommentIn
Type : CommentIn

Informations de copyright

© 2021 John Wiley & Sons Ltd.

Références

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