Cargando…

Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis

BACKGROUND: Clinicians are less likely to prescribe guideline-recommended treatments to people with multimorbidity than to people with a single condition. Doubts as to the applicability of clinical trials of drug treatments (the gold standard for evidence-based medicine) when people have co-existing...

Descripción completa

Detalles Bibliográficos
Autores principales: Hanlon, Peter, Hannigan, Laurie, Rodriguez-Perez, Jesus, Fischbacher, Colin, Welton, Nicky J., Dias, Sofia, Mair, Frances S., Guthrie, Bruce, Wild, Sarah, McAllister, David A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849229/
https://www.ncbi.nlm.nih.gov/pubmed/31711480
http://dx.doi.org/10.1186/s12916-019-1427-1
_version_ 1783469165246414848
author Hanlon, Peter
Hannigan, Laurie
Rodriguez-Perez, Jesus
Fischbacher, Colin
Welton, Nicky J.
Dias, Sofia
Mair, Frances S.
Guthrie, Bruce
Wild, Sarah
McAllister, David A.
author_facet Hanlon, Peter
Hannigan, Laurie
Rodriguez-Perez, Jesus
Fischbacher, Colin
Welton, Nicky J.
Dias, Sofia
Mair, Frances S.
Guthrie, Bruce
Wild, Sarah
McAllister, David A.
author_sort Hanlon, Peter
collection PubMed
description BACKGROUND: Clinicians are less likely to prescribe guideline-recommended treatments to people with multimorbidity than to people with a single condition. Doubts as to the applicability of clinical trials of drug treatments (the gold standard for evidence-based medicine) when people have co-existing diseases (comorbidity) may underlie this apparent reluctance. Therefore, for a range of index conditions, we measured the comorbidity among participants in clinical trials of novel drug therapies and compared this to the comorbidity among patients in the community. METHODS: Data from industry-sponsored phase 3/4 multicentre trials of novel drug therapies for chronic medical conditions were identified from two repositories: Clinical Study Data Request and the Yale University Open Data Access project. We identified 116 trials (n = 122,969 participants) for 22 index conditions. Community patients were identified from a nationally representative sample of 2.3 million patients in Wales, UK. Twenty-one comorbidities were identified from medication use based on pre-specified definitions. We assessed the prevalence of each comorbidity and the total number of comorbidities (level of multimorbidity), for each trial and in community patients. RESULTS: In the trials, the commonest comorbidities in order of declining prevalence were chronic pain, cardiovascular disease, arthritis, affective disorders, acid-related disorders, asthma/COPD and diabetes. These conditions were also common in community-based patients. Mean comorbidity count for trial participants was approximately half that seen in community-based patients. Nonetheless, a substantial proportion of trial participants had a high degree of multimorbidity. For example, in asthma and psoriasis trials, 10–15% of participants had ≥ 3 conditions overall, while in osteoporosis and chronic obstructive pulmonary disease trials 40–60% of participants had ≥ 3 conditions overall. CONCLUSIONS: Comorbidity and multimorbidity are less common in trials than in community populations with the same index condition. Comorbidity and multimorbidity are, nevertheless, common in trials. This suggests that standard, industry-funded clinical trials are an underused resource for investigating treatment effects in people with comorbidity and multimorbidity.
format Online
Article
Text
id pubmed-6849229
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-68492292019-11-15 Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis Hanlon, Peter Hannigan, Laurie Rodriguez-Perez, Jesus Fischbacher, Colin Welton, Nicky J. Dias, Sofia Mair, Frances S. Guthrie, Bruce Wild, Sarah McAllister, David A. BMC Med Research Article BACKGROUND: Clinicians are less likely to prescribe guideline-recommended treatments to people with multimorbidity than to people with a single condition. Doubts as to the applicability of clinical trials of drug treatments (the gold standard for evidence-based medicine) when people have co-existing diseases (comorbidity) may underlie this apparent reluctance. Therefore, for a range of index conditions, we measured the comorbidity among participants in clinical trials of novel drug therapies and compared this to the comorbidity among patients in the community. METHODS: Data from industry-sponsored phase 3/4 multicentre trials of novel drug therapies for chronic medical conditions were identified from two repositories: Clinical Study Data Request and the Yale University Open Data Access project. We identified 116 trials (n = 122,969 participants) for 22 index conditions. Community patients were identified from a nationally representative sample of 2.3 million patients in Wales, UK. Twenty-one comorbidities were identified from medication use based on pre-specified definitions. We assessed the prevalence of each comorbidity and the total number of comorbidities (level of multimorbidity), for each trial and in community patients. RESULTS: In the trials, the commonest comorbidities in order of declining prevalence were chronic pain, cardiovascular disease, arthritis, affective disorders, acid-related disorders, asthma/COPD and diabetes. These conditions were also common in community-based patients. Mean comorbidity count for trial participants was approximately half that seen in community-based patients. Nonetheless, a substantial proportion of trial participants had a high degree of multimorbidity. For example, in asthma and psoriasis trials, 10–15% of participants had ≥ 3 conditions overall, while in osteoporosis and chronic obstructive pulmonary disease trials 40–60% of participants had ≥ 3 conditions overall. CONCLUSIONS: Comorbidity and multimorbidity are less common in trials than in community populations with the same index condition. Comorbidity and multimorbidity are, nevertheless, common in trials. This suggests that standard, industry-funded clinical trials are an underused resource for investigating treatment effects in people with comorbidity and multimorbidity. BioMed Central 2019-11-12 /pmc/articles/PMC6849229/ /pubmed/31711480 http://dx.doi.org/10.1186/s12916-019-1427-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hanlon, Peter
Hannigan, Laurie
Rodriguez-Perez, Jesus
Fischbacher, Colin
Welton, Nicky J.
Dias, Sofia
Mair, Frances S.
Guthrie, Bruce
Wild, Sarah
McAllister, David A.
Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis
title Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis
title_full Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis
title_fullStr Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis
title_full_unstemmed Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis
title_short Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis
title_sort representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849229/
https://www.ncbi.nlm.nih.gov/pubmed/31711480
http://dx.doi.org/10.1186/s12916-019-1427-1
work_keys_str_mv AT hanlonpeter representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT hanniganlaurie representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT rodriguezperezjesus representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT fischbachercolin representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT weltonnickyj representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT diassofia representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT mairfrancess representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT guthriebruce representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT wildsarah representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis
AT mcallisterdavida representationofpeoplewithcomorbidityandmultimorbidityinclinicaltrialsofnoveldrugtherapiesanindividuallevelparticipantdataanalysis