Cargando…

Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts

In recent years, social media websites have been suggested as a novel, vast source of data which may be useful for deriving drug safety information. Despite this, there are few published reports of drug safety profiles derived in this way. The aims of this study were to detect and quantify glucocort...

Descripción completa

Detalles Bibliográficos
Autores principales: Patel, Rikesh, Belousov, Maksim, Jani, Meghna, Dasgupta, Nabarun, Winokur, Carly, Nenadic, Goran, Dixon, William G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364798/
https://www.ncbi.nlm.nih.gov/pubmed/30740536
http://dx.doi.org/10.1038/s41746-017-0007-z
_version_ 1783393320240676864
author Patel, Rikesh
Belousov, Maksim
Jani, Meghna
Dasgupta, Nabarun
Winokur, Carly
Nenadic, Goran
Dixon, William G.
author_facet Patel, Rikesh
Belousov, Maksim
Jani, Meghna
Dasgupta, Nabarun
Winokur, Carly
Nenadic, Goran
Dixon, William G.
author_sort Patel, Rikesh
collection PubMed
description In recent years, social media websites have been suggested as a novel, vast source of data which may be useful for deriving drug safety information. Despite this, there are few published reports of drug safety profiles derived in this way. The aims of this study were to detect and quantify glucocorticoid-related adverse events using a computerised system for automated detection of suspected adverse drug reactions (ADR) from narrative text in Twitter, and to compare the frequency of specific ADR mentions within Twitter to the frequency and patterns of spontaneous ADR reporting to a national drug regulatory body. Of 159,297 tweets mentioning either prednisolone or prednisone between 1st October 2012 and 30th June 2015, 20,206 tweets were deemed to contain information resembling an ADR. The top AE MedDRA® Preferred Terms were ‘insomnia’ and ‘weight increased’, both recognised non-serious but common side effects. These were proportionally over-reported in Twitter when compared to spontaneous reports in the UK regulator’s ADR reporting scheme. Serious glucocorticoid related AEs were reported less frequently. Pharmacovigilance using Twitter data has the potential to be a valuable, supplementary source of drug safety information. In particular, it can illustrate which drug side effects patients discuss most commonly, potentially because of important impacts on quality of life. This information could help clinicians to inform patients about frequent and relevant non-serious side effects as well as more serious side effects.
format Online
Article
Text
id pubmed-6364798
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-63647982019-02-06 Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts Patel, Rikesh Belousov, Maksim Jani, Meghna Dasgupta, Nabarun Winokur, Carly Nenadic, Goran Dixon, William G. NPJ Digit Med Article In recent years, social media websites have been suggested as a novel, vast source of data which may be useful for deriving drug safety information. Despite this, there are few published reports of drug safety profiles derived in this way. The aims of this study were to detect and quantify glucocorticoid-related adverse events using a computerised system for automated detection of suspected adverse drug reactions (ADR) from narrative text in Twitter, and to compare the frequency of specific ADR mentions within Twitter to the frequency and patterns of spontaneous ADR reporting to a national drug regulatory body. Of 159,297 tweets mentioning either prednisolone or prednisone between 1st October 2012 and 30th June 2015, 20,206 tweets were deemed to contain information resembling an ADR. The top AE MedDRA® Preferred Terms were ‘insomnia’ and ‘weight increased’, both recognised non-serious but common side effects. These were proportionally over-reported in Twitter when compared to spontaneous reports in the UK regulator’s ADR reporting scheme. Serious glucocorticoid related AEs were reported less frequently. Pharmacovigilance using Twitter data has the potential to be a valuable, supplementary source of drug safety information. In particular, it can illustrate which drug side effects patients discuss most commonly, potentially because of important impacts on quality of life. This information could help clinicians to inform patients about frequent and relevant non-serious side effects as well as more serious side effects. Nature Publishing Group UK 2018-02-12 /pmc/articles/PMC6364798/ /pubmed/30740536 http://dx.doi.org/10.1038/s41746-017-0007-z Text en © The Author(s) 2018 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Patel, Rikesh
Belousov, Maksim
Jani, Meghna
Dasgupta, Nabarun
Winokur, Carly
Nenadic, Goran
Dixon, William G.
Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
title Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
title_full Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
title_fullStr Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
title_full_unstemmed Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
title_short Frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of Twitter posts
title_sort frequent discussion of insomnia and weight gain with glucocorticoid therapy: an analysis of twitter posts
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6364798/
https://www.ncbi.nlm.nih.gov/pubmed/30740536
http://dx.doi.org/10.1038/s41746-017-0007-z
work_keys_str_mv AT patelrikesh frequentdiscussionofinsomniaandweightgainwithglucocorticoidtherapyananalysisoftwitterposts
AT belousovmaksim frequentdiscussionofinsomniaandweightgainwithglucocorticoidtherapyananalysisoftwitterposts
AT janimeghna frequentdiscussionofinsomniaandweightgainwithglucocorticoidtherapyananalysisoftwitterposts
AT dasguptanabarun frequentdiscussionofinsomniaandweightgainwithglucocorticoidtherapyananalysisoftwitterposts
AT winokurcarly frequentdiscussionofinsomniaandweightgainwithglucocorticoidtherapyananalysisoftwitterposts
AT nenadicgoran frequentdiscussionofinsomniaandweightgainwithglucocorticoidtherapyananalysisoftwitterposts
AT dixonwilliamg frequentdiscussionofinsomniaandweightgainwithglucocorticoidtherapyananalysisoftwitterposts