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A predictive model for carcinogenesis in patients with chronic hepatitis B undergoing entecavir therapy and its validation

We created a model to predict the development of liver carcinogenesis in patients with chronic hepatitis B (CHB) undergoing entecavir (ETV) therapy and to validate the accuracy using an independent dataset. A total of 328 CHB subjects were analyzed. Subjects were randomly assigned into 2 groups: the...

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Autores principales: Nishikawa, Hiroki, Nishijima, Norihiro, Enomoto, Hirayuki, Sakamoto, Azusa, Nasu, Akihiro, Komekado, Hideyuki, Nishimura, Takashi, Kita, Ryuichi, Kimura, Toru, Iijima, Hiroko, Nishiguchi, Shuhei, Osaki, Yukio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023923/
https://www.ncbi.nlm.nih.gov/pubmed/27603400
http://dx.doi.org/10.1097/MD.0000000000004832
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author Nishikawa, Hiroki
Nishijima, Norihiro
Enomoto, Hirayuki
Sakamoto, Azusa
Nasu, Akihiro
Komekado, Hideyuki
Nishimura, Takashi
Kita, Ryuichi
Kimura, Toru
Iijima, Hiroko
Nishiguchi, Shuhei
Osaki, Yukio
author_facet Nishikawa, Hiroki
Nishijima, Norihiro
Enomoto, Hirayuki
Sakamoto, Azusa
Nasu, Akihiro
Komekado, Hideyuki
Nishimura, Takashi
Kita, Ryuichi
Kimura, Toru
Iijima, Hiroko
Nishiguchi, Shuhei
Osaki, Yukio
author_sort Nishikawa, Hiroki
collection PubMed
description We created a model to predict the development of liver carcinogenesis in patients with chronic hepatitis B (CHB) undergoing entecavir (ETV) therapy and to validate the accuracy using an independent dataset. A total of 328 CHB subjects were analyzed. Subjects were randomly assigned into 2 groups: the training group (n = 164) and the validation group (n = 164). Using data from the training group, we built a predictive model for liver carcinogenesis by performing univariate and multivariate analyses using variables associated with liver carcinogenesis. We subsequently assessed the applicability of the constructed model in the validation group. The median (range) follow-up periods in the training and the validation groups were 5.03 years (1.03–9.98) and 4.84 years (1.10–9.97), respectively. The proportion of hepatitis B virus-DNA at 24 weeks <1.9 log IU/mL in the training group was 70.7% (116/164), while that in the validation group was 71.3% (117/164). For the entire cohort (n = 328), the median alpha-fetoprotein (AFP) value at 24 weeks (3.45 ng/mL; range, 0.9–102.7 ng/mL) significantly decreased compared to the baseline values (5.55 ng/mL; range, 0.9–1039.5 ng/mL), while the median alanine aminotransferase (ALT) value at 24 weeks (24 IU/mL; range, 6–251 IU/mL) also significantly decreased compared to baseline values (57 IU/mL; range, 7–1450 IU/mL). During the observation period, hepatocellular carcinoma (HCC) developed in 15 (9.1%) patients in the training group and in 17 (10.4%) patients in the validation group. The 3- and 5-year cumulative HCC incidence rates in the entire cohort were 4.48% and 9.52%, respectively. In the multivariate analysis of the training group, age ≥54 years (P = 0.0273), ALT level at 24 weeks (P = 0.0456), and AFP at 24 weeks (P = 0.0485) were found to be significant predictors linked to HCC. Using these independent predictors, the risk for HCC development was well stratified in the validation group (overall significance, P < 0.0001). Similar results were observed in subgroup analyses of patients with or without cirrhosis and HBe antigen positivity. In conclusion, our predictive model was well verified; hence, it may be a promising model for the prediction of the development of liver carcinogenesis in CHB patients undergoing ETV therapy.
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spelling pubmed-50239232016-09-26 A predictive model for carcinogenesis in patients with chronic hepatitis B undergoing entecavir therapy and its validation Nishikawa, Hiroki Nishijima, Norihiro Enomoto, Hirayuki Sakamoto, Azusa Nasu, Akihiro Komekado, Hideyuki Nishimura, Takashi Kita, Ryuichi Kimura, Toru Iijima, Hiroko Nishiguchi, Shuhei Osaki, Yukio Medicine (Baltimore) 4500 We created a model to predict the development of liver carcinogenesis in patients with chronic hepatitis B (CHB) undergoing entecavir (ETV) therapy and to validate the accuracy using an independent dataset. A total of 328 CHB subjects were analyzed. Subjects were randomly assigned into 2 groups: the training group (n = 164) and the validation group (n = 164). Using data from the training group, we built a predictive model for liver carcinogenesis by performing univariate and multivariate analyses using variables associated with liver carcinogenesis. We subsequently assessed the applicability of the constructed model in the validation group. The median (range) follow-up periods in the training and the validation groups were 5.03 years (1.03–9.98) and 4.84 years (1.10–9.97), respectively. The proportion of hepatitis B virus-DNA at 24 weeks <1.9 log IU/mL in the training group was 70.7% (116/164), while that in the validation group was 71.3% (117/164). For the entire cohort (n = 328), the median alpha-fetoprotein (AFP) value at 24 weeks (3.45 ng/mL; range, 0.9–102.7 ng/mL) significantly decreased compared to the baseline values (5.55 ng/mL; range, 0.9–1039.5 ng/mL), while the median alanine aminotransferase (ALT) value at 24 weeks (24 IU/mL; range, 6–251 IU/mL) also significantly decreased compared to baseline values (57 IU/mL; range, 7–1450 IU/mL). During the observation period, hepatocellular carcinoma (HCC) developed in 15 (9.1%) patients in the training group and in 17 (10.4%) patients in the validation group. The 3- and 5-year cumulative HCC incidence rates in the entire cohort were 4.48% and 9.52%, respectively. In the multivariate analysis of the training group, age ≥54 years (P = 0.0273), ALT level at 24 weeks (P = 0.0456), and AFP at 24 weeks (P = 0.0485) were found to be significant predictors linked to HCC. Using these independent predictors, the risk for HCC development was well stratified in the validation group (overall significance, P < 0.0001). Similar results were observed in subgroup analyses of patients with or without cirrhosis and HBe antigen positivity. In conclusion, our predictive model was well verified; hence, it may be a promising model for the prediction of the development of liver carcinogenesis in CHB patients undergoing ETV therapy. Wolters Kluwer Health 2016-09-09 /pmc/articles/PMC5023923/ /pubmed/27603400 http://dx.doi.org/10.1097/MD.0000000000004832 Text en Copyright © 2016 the Author(s). Published by Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-No Derivatives License 4.0, which allows for redistribution, commercial and non-commercial, as long as it is passed along unchanged and in whole, with credit to the author. http://creativecommons.org/licenses/by-nd/4.0
spellingShingle 4500
Nishikawa, Hiroki
Nishijima, Norihiro
Enomoto, Hirayuki
Sakamoto, Azusa
Nasu, Akihiro
Komekado, Hideyuki
Nishimura, Takashi
Kita, Ryuichi
Kimura, Toru
Iijima, Hiroko
Nishiguchi, Shuhei
Osaki, Yukio
A predictive model for carcinogenesis in patients with chronic hepatitis B undergoing entecavir therapy and its validation
title A predictive model for carcinogenesis in patients with chronic hepatitis B undergoing entecavir therapy and its validation
title_full A predictive model for carcinogenesis in patients with chronic hepatitis B undergoing entecavir therapy and its validation
title_fullStr A predictive model for carcinogenesis in patients with chronic hepatitis B undergoing entecavir therapy and its validation
title_full_unstemmed A predictive model for carcinogenesis in patients with chronic hepatitis B undergoing entecavir therapy and its validation
title_short A predictive model for carcinogenesis in patients with chronic hepatitis B undergoing entecavir therapy and its validation
title_sort predictive model for carcinogenesis in patients with chronic hepatitis b undergoing entecavir therapy and its validation
topic 4500
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5023923/
https://www.ncbi.nlm.nih.gov/pubmed/27603400
http://dx.doi.org/10.1097/MD.0000000000004832
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