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Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection

HBsAg and HBeAg have gained traction as biomarkers of control and clearance during chronic hepatitis B virus infection (CHB). Improved understanding of the clearance correlates of these proteins could help inform improvements in patient-stratified care and advance insights into the underlying mechan...

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Autores principales: Downs, Louise O., Smith, David A., Lumley, Sheila F., Patel, Meha, McNaughton, Anna L., Mokaya, Jolynne, Ansari, M. Azim, Salih, Hizni, Várnai, Kinga A., Freeman, Oliver, Cripps, Sarah, Phillips, Jane, Collier, Jane, Woods, Kerrie, Channon, Keith, Davies, Jim, Barnes, Eleanor, Jeffery, Katie, Matthews, Philippa C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593400/
https://www.ncbi.nlm.nih.gov/pubmed/31239374
http://dx.doi.org/10.1128/mBio.00699-19
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author Downs, Louise O.
Smith, David A.
Lumley, Sheila F.
Patel, Meha
McNaughton, Anna L.
Mokaya, Jolynne
Ansari, M. Azim
Salih, Hizni
Várnai, Kinga A.
Freeman, Oliver
Cripps, Sarah
Phillips, Jane
Collier, Jane
Woods, Kerrie
Channon, Keith
Davies, Jim
Barnes, Eleanor
Jeffery, Katie
Matthews, Philippa C.
author_facet Downs, Louise O.
Smith, David A.
Lumley, Sheila F.
Patel, Meha
McNaughton, Anna L.
Mokaya, Jolynne
Ansari, M. Azim
Salih, Hizni
Várnai, Kinga A.
Freeman, Oliver
Cripps, Sarah
Phillips, Jane
Collier, Jane
Woods, Kerrie
Channon, Keith
Davies, Jim
Barnes, Eleanor
Jeffery, Katie
Matthews, Philippa C.
author_sort Downs, Louise O.
collection PubMed
description HBsAg and HBeAg have gained traction as biomarkers of control and clearance during chronic hepatitis B virus infection (CHB). Improved understanding of the clearance correlates of these proteins could help inform improvements in patient-stratified care and advance insights into the underlying mechanisms of disease control, thus underpinning new cure strategies. We collected electronic clinical data via an electronic pipeline supported by the National Institute for Health Research Health Informatics Collaborative (NIHR HIC), adopting an unbiased approach to the generation of a robust longitudinal data set for adults testing HBsAg positive from a large UK teaching hospital over a 6-year period (2011 to 2016 inclusive). Of 553 individuals with CHB, longitudinal data were available for 319, representing >107,000 weeks of clinical follow-up. Among these 319 individuals, 13 (4%) cleared HBsAg completely. Among these 13, the HBsAg clearance rate in individuals on nucleos(t)ide analogue (NA) therapy (n = 4 [31%]; median clearance time,150 weeks) was similar to that in individuals not on NA therapy (n = 9 [69%]; median clearance time, 157 weeks). Those who cleared HBsAg were significantly older and less likely to be on NA therapy than nonclearers (P = 0.003 and P = 0.001, respectively). Chinese ethnicity was associated with HBeAg positivity (P = 0.025). HBeAg clearance occurred in individuals both on NA therapy (n = 24; median time, 49 weeks) and off NA therapy (n = 19; median time, 52 weeks). Improved insights into the dynamics of these biomarkers can underpin better prognostication and patient-stratified care. Our systematized approach to data collection paves the way for scaling up efforts to harness clinical data to address research questions and support improvements in clinical care.
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spelling pubmed-65934002019-07-03 Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection Downs, Louise O. Smith, David A. Lumley, Sheila F. Patel, Meha McNaughton, Anna L. Mokaya, Jolynne Ansari, M. Azim Salih, Hizni Várnai, Kinga A. Freeman, Oliver Cripps, Sarah Phillips, Jane Collier, Jane Woods, Kerrie Channon, Keith Davies, Jim Barnes, Eleanor Jeffery, Katie Matthews, Philippa C. mBio Research Article HBsAg and HBeAg have gained traction as biomarkers of control and clearance during chronic hepatitis B virus infection (CHB). Improved understanding of the clearance correlates of these proteins could help inform improvements in patient-stratified care and advance insights into the underlying mechanisms of disease control, thus underpinning new cure strategies. We collected electronic clinical data via an electronic pipeline supported by the National Institute for Health Research Health Informatics Collaborative (NIHR HIC), adopting an unbiased approach to the generation of a robust longitudinal data set for adults testing HBsAg positive from a large UK teaching hospital over a 6-year period (2011 to 2016 inclusive). Of 553 individuals with CHB, longitudinal data were available for 319, representing >107,000 weeks of clinical follow-up. Among these 319 individuals, 13 (4%) cleared HBsAg completely. Among these 13, the HBsAg clearance rate in individuals on nucleos(t)ide analogue (NA) therapy (n = 4 [31%]; median clearance time,150 weeks) was similar to that in individuals not on NA therapy (n = 9 [69%]; median clearance time, 157 weeks). Those who cleared HBsAg were significantly older and less likely to be on NA therapy than nonclearers (P = 0.003 and P = 0.001, respectively). Chinese ethnicity was associated with HBeAg positivity (P = 0.025). HBeAg clearance occurred in individuals both on NA therapy (n = 24; median time, 49 weeks) and off NA therapy (n = 19; median time, 52 weeks). Improved insights into the dynamics of these biomarkers can underpin better prognostication and patient-stratified care. Our systematized approach to data collection paves the way for scaling up efforts to harness clinical data to address research questions and support improvements in clinical care. American Society for Microbiology 2019-06-25 /pmc/articles/PMC6593400/ /pubmed/31239374 http://dx.doi.org/10.1128/mBio.00699-19 Text en Copyright © 2019 Downs et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Downs, Louise O.
Smith, David A.
Lumley, Sheila F.
Patel, Meha
McNaughton, Anna L.
Mokaya, Jolynne
Ansari, M. Azim
Salih, Hizni
Várnai, Kinga A.
Freeman, Oliver
Cripps, Sarah
Phillips, Jane
Collier, Jane
Woods, Kerrie
Channon, Keith
Davies, Jim
Barnes, Eleanor
Jeffery, Katie
Matthews, Philippa C.
Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection
title Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection
title_full Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection
title_fullStr Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection
title_full_unstemmed Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection
title_short Electronic Health Informatics Data To Describe Clearance Dynamics of Hepatitis B Surface Antigen (HBsAg) and e Antigen (HBeAg) in Chronic Hepatitis B Virus Infection
title_sort electronic health informatics data to describe clearance dynamics of hepatitis b surface antigen (hbsag) and e antigen (hbeag) in chronic hepatitis b virus infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6593400/
https://www.ncbi.nlm.nih.gov/pubmed/31239374
http://dx.doi.org/10.1128/mBio.00699-19
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