Cargando…
Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database
BACKGROUND: Hyperammonaemia is frequent in Intensive Care Unit patients. Some drugs have been described as associated with this condition, but there are no large-scale studies investigating this topic and most descriptions only consist of case-reports. METHODS: We performed a disproportionality anal...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206694/ https://www.ncbi.nlm.nih.gov/pubmed/35716335 http://dx.doi.org/10.1186/s13613-022-01026-4 |
_version_ | 1784729387112857600 |
---|---|
author | Balcerac, Alexander Bihan, Kevin Lebrun-Vignes, Bénédicte Thabut, Dominique Salem, Joe-Elie Weiss, Nicolas |
author_facet | Balcerac, Alexander Bihan, Kevin Lebrun-Vignes, Bénédicte Thabut, Dominique Salem, Joe-Elie Weiss, Nicolas |
author_sort | Balcerac, Alexander |
collection | PubMed |
description | BACKGROUND: Hyperammonaemia is frequent in Intensive Care Unit patients. Some drugs have been described as associated with this condition, but there are no large-scale studies investigating this topic and most descriptions only consist of case-reports. METHODS: We performed a disproportionality analysis using VigiBase, the World Health Organization Pharmacovigilance Database, using the information component (IC). The IC compares observed and expected values to find associations between drugs and hyperammonaemia using disproportionate Bayesian reporting. An IC(0.25) (lower end of the IC 95% credibility interval) > 0 is considered statistically significant. The main demographic and clinical features, confounding factors, and severity of cases have been recorded. RESULTS: We identified 71 drugs with a disproportionate reporting in 2924 cases of hyperammonaemia. Most of the suspected drugs could be categorised into 4 main therapeutic classes: oncologic drugs, anti-epileptic drugs, immunosuppressants and psychiatric drugs. The drugs most frequently involved were valproic acid, fluorouracil, topiramate, oxaliplatin and asparaginase. In addition to these molecules known to be responsible for hyperammonaemia, our study reported 60 drugs not previously identified as responsible for hyperammonaemia. These include recently marketed molecules including anti-epileptics such as cannabidiol, immunosuppressants such as basiliximab, and anti-angiogenics agents such as tyrosine kinase inhibitors (sunitinib, sorafenib, regorafenib, lenvatinib) and monoclonal antibodies (bevacizumab, ramucirumab). The severity of cases varies depending on the drug class involved and high mortality rates are present when hyperammonaemia occurs in patients receiving immunosuppressant and oncologic drugs. CONCLUSIONS: This study constitutes the first large-scale study on drug-associated hyperammonaemia. This description may prove useful for clinicians in patients’ care as well as for trial design. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-022-01026-4. |
format | Online Article Text |
id | pubmed-9206694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-92066942022-06-20 Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database Balcerac, Alexander Bihan, Kevin Lebrun-Vignes, Bénédicte Thabut, Dominique Salem, Joe-Elie Weiss, Nicolas Ann Intensive Care Research BACKGROUND: Hyperammonaemia is frequent in Intensive Care Unit patients. Some drugs have been described as associated with this condition, but there are no large-scale studies investigating this topic and most descriptions only consist of case-reports. METHODS: We performed a disproportionality analysis using VigiBase, the World Health Organization Pharmacovigilance Database, using the information component (IC). The IC compares observed and expected values to find associations between drugs and hyperammonaemia using disproportionate Bayesian reporting. An IC(0.25) (lower end of the IC 95% credibility interval) > 0 is considered statistically significant. The main demographic and clinical features, confounding factors, and severity of cases have been recorded. RESULTS: We identified 71 drugs with a disproportionate reporting in 2924 cases of hyperammonaemia. Most of the suspected drugs could be categorised into 4 main therapeutic classes: oncologic drugs, anti-epileptic drugs, immunosuppressants and psychiatric drugs. The drugs most frequently involved were valproic acid, fluorouracil, topiramate, oxaliplatin and asparaginase. In addition to these molecules known to be responsible for hyperammonaemia, our study reported 60 drugs not previously identified as responsible for hyperammonaemia. These include recently marketed molecules including anti-epileptics such as cannabidiol, immunosuppressants such as basiliximab, and anti-angiogenics agents such as tyrosine kinase inhibitors (sunitinib, sorafenib, regorafenib, lenvatinib) and monoclonal antibodies (bevacizumab, ramucirumab). The severity of cases varies depending on the drug class involved and high mortality rates are present when hyperammonaemia occurs in patients receiving immunosuppressant and oncologic drugs. CONCLUSIONS: This study constitutes the first large-scale study on drug-associated hyperammonaemia. This description may prove useful for clinicians in patients’ care as well as for trial design. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13613-022-01026-4. Springer International Publishing 2022-06-18 /pmc/articles/PMC9206694/ /pubmed/35716335 http://dx.doi.org/10.1186/s13613-022-01026-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . |
spellingShingle | Research Balcerac, Alexander Bihan, Kevin Lebrun-Vignes, Bénédicte Thabut, Dominique Salem, Joe-Elie Weiss, Nicolas Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database |
title | Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database |
title_full | Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database |
title_fullStr | Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database |
title_full_unstemmed | Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database |
title_short | Drug-associated hyperammonaemia: a Bayesian analysis of the WHO Pharmacovigilance Database |
title_sort | drug-associated hyperammonaemia: a bayesian analysis of the who pharmacovigilance database |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206694/ https://www.ncbi.nlm.nih.gov/pubmed/35716335 http://dx.doi.org/10.1186/s13613-022-01026-4 |
work_keys_str_mv | AT balceracalexander drugassociatedhyperammonaemiaabayesiananalysisofthewhopharmacovigilancedatabase AT bihankevin drugassociatedhyperammonaemiaabayesiananalysisofthewhopharmacovigilancedatabase AT lebrunvignesbenedicte drugassociatedhyperammonaemiaabayesiananalysisofthewhopharmacovigilancedatabase AT thabutdominique drugassociatedhyperammonaemiaabayesiananalysisofthewhopharmacovigilancedatabase AT salemjoeelie drugassociatedhyperammonaemiaabayesiananalysisofthewhopharmacovigilancedatabase AT weissnicolas drugassociatedhyperammonaemiaabayesiananalysisofthewhopharmacovigilancedatabase |