Cargando…

Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists

BACKGROUND: Observational data may inform novel drug development programs by identifying previously unappreciated, clinical benefits of existing drugs. Several preclinical and clinical studies have suggested emergent therapeutic utility of drugs acting on the N-methyl-d-aspartate (NMDA) receptor, a...

Descripción completa

Detalles Bibliográficos
Autores principales: Kern, David M., Cepeda, M. Soledad, Flores, Christopher M., Wittenberg, Gayle M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907035/
https://www.ncbi.nlm.nih.gov/pubmed/33537916
http://dx.doi.org/10.1007/s40263-020-00789-3
_version_ 1783655411522469888
author Kern, David M.
Cepeda, M. Soledad
Flores, Christopher M.
Wittenberg, Gayle M.
author_facet Kern, David M.
Cepeda, M. Soledad
Flores, Christopher M.
Wittenberg, Gayle M.
author_sort Kern, David M.
collection PubMed
description BACKGROUND: Observational data may inform novel drug development programs by identifying previously unappreciated, clinical benefits of existing drugs. Several preclinical and clinical studies have suggested emergent therapeutic utility of drugs acting on the N-methyl-d-aspartate (NMDA) receptor, a subtype of glutamate receptors, including the antidementia drug memantine. METHODS: Using a self-controlled cohort study design, the association of exposure to the NMDA receptor antagonist memantine with the incidence of all observed disease outcomes in four US administrative claims databases, spanning from January 2000 through January 2019, was assessed. The databases used in this study were the IBM MarketScan(®) Commercial Database (CCAE), the IBM MarketScan(®) Multi-State Medicaid Database (MDCD), the IBM MarketScan(®) Medicare Supplemental Database (MDCR), and the Optum(©) De-Identified Clinformatics(®) Data Mart Database. Outcomes were defined according to the unique Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT) classification system codes and required a diagnosis on two or more distinct dates. Of 20,953 outcomes assessed, only those for which memantine was associated with a ≥ 50% reduction in risk in two or more databases were included. A meta-analysis with random effects was used to pool data across the databases. RESULTS: Overall, 312,336 patients were exposed to memantine during the study. After removing conditions related to dementia and memory loss, 60 outcomes met the threshold criteria. Results fell into five disease categories: mental disorders, substance use disorders, pain, gastrointestinal and colon disorders, and demyelinating disease. The bulk of findings fell into the first two groups, with 28 outcomes related to mental disorders and 24 related to substance use disorders. CONCLUSION: The present results confirm that NMDA receptor antagonism may have broader therapeutic utility than previously recognized. Further observational and clinical research may be warranted to explore the therapeutic benefit of NMDA antagonists for the outcomes found in this study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40263-020-00789-3.
format Online
Article
Text
id pubmed-7907035
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-79070352021-03-09 Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists Kern, David M. Cepeda, M. Soledad Flores, Christopher M. Wittenberg, Gayle M. CNS Drugs Original Research Article BACKGROUND: Observational data may inform novel drug development programs by identifying previously unappreciated, clinical benefits of existing drugs. Several preclinical and clinical studies have suggested emergent therapeutic utility of drugs acting on the N-methyl-d-aspartate (NMDA) receptor, a subtype of glutamate receptors, including the antidementia drug memantine. METHODS: Using a self-controlled cohort study design, the association of exposure to the NMDA receptor antagonist memantine with the incidence of all observed disease outcomes in four US administrative claims databases, spanning from January 2000 through January 2019, was assessed. The databases used in this study were the IBM MarketScan(®) Commercial Database (CCAE), the IBM MarketScan(®) Multi-State Medicaid Database (MDCD), the IBM MarketScan(®) Medicare Supplemental Database (MDCR), and the Optum(©) De-Identified Clinformatics(®) Data Mart Database. Outcomes were defined according to the unique Systematized Nomenclature of Medicine–Clinical Terms (SNOMED CT) classification system codes and required a diagnosis on two or more distinct dates. Of 20,953 outcomes assessed, only those for which memantine was associated with a ≥ 50% reduction in risk in two or more databases were included. A meta-analysis with random effects was used to pool data across the databases. RESULTS: Overall, 312,336 patients were exposed to memantine during the study. After removing conditions related to dementia and memory loss, 60 outcomes met the threshold criteria. Results fell into five disease categories: mental disorders, substance use disorders, pain, gastrointestinal and colon disorders, and demyelinating disease. The bulk of findings fell into the first two groups, with 28 outcomes related to mental disorders and 24 related to substance use disorders. CONCLUSION: The present results confirm that NMDA receptor antagonism may have broader therapeutic utility than previously recognized. Further observational and clinical research may be warranted to explore the therapeutic benefit of NMDA antagonists for the outcomes found in this study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40263-020-00789-3. Springer International Publishing 2021-02-04 2021 /pmc/articles/PMC7907035/ /pubmed/33537916 http://dx.doi.org/10.1007/s40263-020-00789-3 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial 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-nc/4.0/.
spellingShingle Original Research Article
Kern, David M.
Cepeda, M. Soledad
Flores, Christopher M.
Wittenberg, Gayle M.
Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists
title Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists
title_full Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists
title_fullStr Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists
title_full_unstemmed Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists
title_short Application of Real-World Data and the REWARD Framework to Detect Unknown Benefits of Memantine and Identify Potential Disease Targets for New NMDA Receptor Antagonists
title_sort application of real-world data and the reward framework to detect unknown benefits of memantine and identify potential disease targets for new nmda receptor antagonists
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7907035/
https://www.ncbi.nlm.nih.gov/pubmed/33537916
http://dx.doi.org/10.1007/s40263-020-00789-3
work_keys_str_mv AT kerndavidm applicationofrealworlddataandtherewardframeworktodetectunknownbenefitsofmemantineandidentifypotentialdiseasetargetsfornewnmdareceptorantagonists
AT cepedamsoledad applicationofrealworlddataandtherewardframeworktodetectunknownbenefitsofmemantineandidentifypotentialdiseasetargetsfornewnmdareceptorantagonists
AT floreschristopherm applicationofrealworlddataandtherewardframeworktodetectunknownbenefitsofmemantineandidentifypotentialdiseasetargetsfornewnmdareceptorantagonists
AT wittenberggaylem applicationofrealworlddataandtherewardframeworktodetectunknownbenefitsofmemantineandidentifypotentialdiseasetargetsfornewnmdareceptorantagonists