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Establishment of a multi-parameter prediction model for the functional cure of HBeAg-negative chronic hepatitis B patients treated with pegylated interferonα and decision process based on response-guided therapy strategy

BACKGROUND & AIMS: This study aimed to establish multivariate prediction models according to a response-guided therapy (RGT) based strategy at baseline and week 12 and 24 of follow-up to predict the functional cure for HBeAg-negative patients with chronic hepatitis B (CHB) treated with pegylated...

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Autores principales: Tang, Qianqian, Ye, Jun, Zhang, Yafei, Zhang, Peixin, Xia, Guomei, Zhu, Jie, Wei, Shaofeng, Li, Xu, Zhang, Zhenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332036/
https://www.ncbi.nlm.nih.gov/pubmed/37430256
http://dx.doi.org/10.1186/s12879-023-08443-1
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author Tang, Qianqian
Ye, Jun
Zhang, Yafei
Zhang, Peixin
Xia, Guomei
Zhu, Jie
Wei, Shaofeng
Li, Xu
Zhang, Zhenhua
author_facet Tang, Qianqian
Ye, Jun
Zhang, Yafei
Zhang, Peixin
Xia, Guomei
Zhu, Jie
Wei, Shaofeng
Li, Xu
Zhang, Zhenhua
author_sort Tang, Qianqian
collection PubMed
description BACKGROUND & AIMS: This study aimed to establish multivariate prediction models according to a response-guided therapy (RGT) based strategy at baseline and week 12 and 24 of follow-up to predict the functional cure for HBeAg-negative patients with chronic hepatitis B (CHB) treated with pegylated interferonα (PEG-IFNα). METHODS: A total of 242 HBeAg-negative patients with CHB were treated with PEG-IFNα for 52 weeks and followed up for 24 weeks. Responses at the end of follow-up (EOF) were defined as hepatitis B surface antigen (HBsAg) loss, and patients were defined as either responders or non-responders. RESULTS: The three most meaningful predictors were an age ≤ 40 years, alanine aminotransferase (ALT) levels ≤ 40 U/L, and HBsAg levels ≤ 100 IU/mL at baseline; ALT levels ≥ 80 U/L, anti-HBc levels ≤ 8.42 S/CO, and HBsAg levels ≤ 50 IU/mL at week 12; and ALT levels ≥ 40 U/L, anti-HBc levels ≤ 8.46 S/CO, and HBsAg levels ≤ 0.2 IU/mL at week 24. The response rates of patients with a score of 0–1 and 4–5 at baseline, week 12, and 24 were 13.5%, 7.8%, and 11.7%; and 63.6%, 68.1%, and 98.1%, respectively. At week 12, the cumulative scores were 0–2, 3–4, 5–7, and 8–10 (response rates 5.0%, 18.9%, 41.3%, and 71.4%, respectively). At week 24, the cumulative scores were 0–3, 4–6, 7–10, and 11–15 (response rates: 1.3%, 12.3%, 37.0%, and 92.5%, respectively). At baseline, patients with scores of 0–1 were slightly recommended; at week 12, patients with 0–1 or 0–2 cumulative scores were recommended to stop treatment. At week 24, patients with a score of 0–1 or a cumulative score of 0–6 were recommended to stop treatment. CONCLUSION: We established a multi-parameter prediction model for the functional cure of HBeAg-negative patients with CHB treated with PEG-IFNα. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08443-1.
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spelling pubmed-103320362023-07-11 Establishment of a multi-parameter prediction model for the functional cure of HBeAg-negative chronic hepatitis B patients treated with pegylated interferonα and decision process based on response-guided therapy strategy Tang, Qianqian Ye, Jun Zhang, Yafei Zhang, Peixin Xia, Guomei Zhu, Jie Wei, Shaofeng Li, Xu Zhang, Zhenhua BMC Infect Dis Research BACKGROUND & AIMS: This study aimed to establish multivariate prediction models according to a response-guided therapy (RGT) based strategy at baseline and week 12 and 24 of follow-up to predict the functional cure for HBeAg-negative patients with chronic hepatitis B (CHB) treated with pegylated interferonα (PEG-IFNα). METHODS: A total of 242 HBeAg-negative patients with CHB were treated with PEG-IFNα for 52 weeks and followed up for 24 weeks. Responses at the end of follow-up (EOF) were defined as hepatitis B surface antigen (HBsAg) loss, and patients were defined as either responders or non-responders. RESULTS: The three most meaningful predictors were an age ≤ 40 years, alanine aminotransferase (ALT) levels ≤ 40 U/L, and HBsAg levels ≤ 100 IU/mL at baseline; ALT levels ≥ 80 U/L, anti-HBc levels ≤ 8.42 S/CO, and HBsAg levels ≤ 50 IU/mL at week 12; and ALT levels ≥ 40 U/L, anti-HBc levels ≤ 8.46 S/CO, and HBsAg levels ≤ 0.2 IU/mL at week 24. The response rates of patients with a score of 0–1 and 4–5 at baseline, week 12, and 24 were 13.5%, 7.8%, and 11.7%; and 63.6%, 68.1%, and 98.1%, respectively. At week 12, the cumulative scores were 0–2, 3–4, 5–7, and 8–10 (response rates 5.0%, 18.9%, 41.3%, and 71.4%, respectively). At week 24, the cumulative scores were 0–3, 4–6, 7–10, and 11–15 (response rates: 1.3%, 12.3%, 37.0%, and 92.5%, respectively). At baseline, patients with scores of 0–1 were slightly recommended; at week 12, patients with 0–1 or 0–2 cumulative scores were recommended to stop treatment. At week 24, patients with a score of 0–1 or a cumulative score of 0–6 were recommended to stop treatment. CONCLUSION: We established a multi-parameter prediction model for the functional cure of HBeAg-negative patients with CHB treated with PEG-IFNα. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08443-1. BioMed Central 2023-07-10 /pmc/articles/PMC10332036/ /pubmed/37430256 http://dx.doi.org/10.1186/s12879-023-08443-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Tang, Qianqian
Ye, Jun
Zhang, Yafei
Zhang, Peixin
Xia, Guomei
Zhu, Jie
Wei, Shaofeng
Li, Xu
Zhang, Zhenhua
Establishment of a multi-parameter prediction model for the functional cure of HBeAg-negative chronic hepatitis B patients treated with pegylated interferonα and decision process based on response-guided therapy strategy
title Establishment of a multi-parameter prediction model for the functional cure of HBeAg-negative chronic hepatitis B patients treated with pegylated interferonα and decision process based on response-guided therapy strategy
title_full Establishment of a multi-parameter prediction model for the functional cure of HBeAg-negative chronic hepatitis B patients treated with pegylated interferonα and decision process based on response-guided therapy strategy
title_fullStr Establishment of a multi-parameter prediction model for the functional cure of HBeAg-negative chronic hepatitis B patients treated with pegylated interferonα and decision process based on response-guided therapy strategy
title_full_unstemmed Establishment of a multi-parameter prediction model for the functional cure of HBeAg-negative chronic hepatitis B patients treated with pegylated interferonα and decision process based on response-guided therapy strategy
title_short Establishment of a multi-parameter prediction model for the functional cure of HBeAg-negative chronic hepatitis B patients treated with pegylated interferonα and decision process based on response-guided therapy strategy
title_sort establishment of a multi-parameter prediction model for the functional cure of hbeag-negative chronic hepatitis b patients treated with pegylated interferonα and decision process based on response-guided therapy strategy
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332036/
https://www.ncbi.nlm.nih.gov/pubmed/37430256
http://dx.doi.org/10.1186/s12879-023-08443-1
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