Identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventions

Abstract Background Frailty is common in clinical practice, but trials rarely report on participant frailty. Consequently, clinicians and guideline-developers assume frailty is largely absent from trials and have questioned the relevance of trial findings to frail people. Therefore, we examined frai...

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Main Authors: Peter Hanlon, Elaine Butterly, Jim Lewsey, Stefan Siebert, Frances S. Mair, David A. McAllister
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Medicine
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12916-020-01752-1
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spelling doaj-1d40b12bdcbd4034bfe391594ea3ecdd2020-11-25T03:56:18ZengBMCBMC Medicine1741-70152020-10-0118111210.1186/s12916-020-01752-1Identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventionsPeter Hanlon0Elaine Butterly1Jim Lewsey2Stefan Siebert3Frances S. Mair4David A. McAllister5Institute of Health and Wellbeing, University of GlasgowInstitute of Health and Wellbeing, University of GlasgowInstitute of Health and Wellbeing, University of GlasgowInstitute of Infection, Immunity and Inflammation, University of GlasgowInstitute of Health and Wellbeing, University of GlasgowInstitute of Health and Wellbeing, University of GlasgowAbstract Background Frailty is common in clinical practice, but trials rarely report on participant frailty. Consequently, clinicians and guideline-developers assume frailty is largely absent from trials and have questioned the relevance of trial findings to frail people. Therefore, we examined frailty in phase 3/4 industry-sponsored clinical trials of pharmacological interventions for three exemplar conditions: type 2 diabetes mellitus (T2DM), rheumatoid arthritis (RA), and chronic obstructive pulmonary disease (COPD). Methods We constructed a 40-item frailty index (FI) in 19 clinical trials (7 T2DM, 8 RA, 4 COPD, mean age 42–65 years) using individual-level participant data. Participants with a FI > 0.24 were considered ‘frail’. Baseline disease severity was assessed using HbA1c for T2DM, Disease Activity Score-28 (DAS28) for RA, and % predicted FEV1 for COPD. Using generalised gamma regression, we modelled FI on age, sex, and disease severity. In negative binomial regression, we modelled serious adverse event rates on FI and combined results for each index condition in a random-effects meta-analysis. Results All trials included frail participants: prevalence 7–21% in T2DM trials, 33–73% in RA trials, and 15–22% in COPD trials. The 99th centile of the FI ranged between 0.35 and 0.45. Female sex was associated with higher FI in all trials. Increased disease severity was associated with higher FI in RA and COPD, but not T2DM. Frailty was associated with age in T2DM and RA trials, but not in COPD. Across all trials, and after adjusting for age, sex, and disease severity, higher FI predicted increased risk of serious adverse events; the pooled incidence rate ratios (per 0.1-point increase in FI scale) were 1.46 (95% CI 1.21–1.75), 1.45 (1.13–1.87), and 1.99 (1.43–2.76) for T2DM, RA, and COPD, respectively. Conclusion The upper limit of frailty in trials is lower than has been described in the general population. However, mild to moderate frailty was common, suggesting trial data may be harnessed to inform disease management in people living with frailty. Participants with higher FI experienced more serious adverse events, suggesting screening for frailty in trial participants would enable identification of those that merit closer monitoring. Frailty is identifiable and prevalent among middle-aged and older participants in phase 3/4 drug trials and has clinically important safety implications.http://link.springer.com/article/10.1186/s12916-020-01752-1FrailtyRandomised controlled trialsDiabetes mellitusRheumatoid arthritisChronic obstructive pulmonary disease
collection DOAJ
language English
format Article
sources DOAJ
author Peter Hanlon
Elaine Butterly
Jim Lewsey
Stefan Siebert
Frances S. Mair
David A. McAllister
spellingShingle Peter Hanlon
Elaine Butterly
Jim Lewsey
Stefan Siebert
Frances S. Mair
David A. McAllister
Identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventions
BMC Medicine
Frailty
Randomised controlled trials
Diabetes mellitus
Rheumatoid arthritis
Chronic obstructive pulmonary disease
author_facet Peter Hanlon
Elaine Butterly
Jim Lewsey
Stefan Siebert
Frances S. Mair
David A. McAllister
author_sort Peter Hanlon
title Identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventions
title_short Identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventions
title_full Identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventions
title_fullStr Identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventions
title_full_unstemmed Identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventions
title_sort identifying frailty in trials: an analysis of individual participant data from trials of novel pharmacological interventions
publisher BMC
series BMC Medicine
issn 1741-7015
publishDate 2020-10-01
description Abstract Background Frailty is common in clinical practice, but trials rarely report on participant frailty. Consequently, clinicians and guideline-developers assume frailty is largely absent from trials and have questioned the relevance of trial findings to frail people. Therefore, we examined frailty in phase 3/4 industry-sponsored clinical trials of pharmacological interventions for three exemplar conditions: type 2 diabetes mellitus (T2DM), rheumatoid arthritis (RA), and chronic obstructive pulmonary disease (COPD). Methods We constructed a 40-item frailty index (FI) in 19 clinical trials (7 T2DM, 8 RA, 4 COPD, mean age 42–65 years) using individual-level participant data. Participants with a FI > 0.24 were considered ‘frail’. Baseline disease severity was assessed using HbA1c for T2DM, Disease Activity Score-28 (DAS28) for RA, and % predicted FEV1 for COPD. Using generalised gamma regression, we modelled FI on age, sex, and disease severity. In negative binomial regression, we modelled serious adverse event rates on FI and combined results for each index condition in a random-effects meta-analysis. Results All trials included frail participants: prevalence 7–21% in T2DM trials, 33–73% in RA trials, and 15–22% in COPD trials. The 99th centile of the FI ranged between 0.35 and 0.45. Female sex was associated with higher FI in all trials. Increased disease severity was associated with higher FI in RA and COPD, but not T2DM. Frailty was associated with age in T2DM and RA trials, but not in COPD. Across all trials, and after adjusting for age, sex, and disease severity, higher FI predicted increased risk of serious adverse events; the pooled incidence rate ratios (per 0.1-point increase in FI scale) were 1.46 (95% CI 1.21–1.75), 1.45 (1.13–1.87), and 1.99 (1.43–2.76) for T2DM, RA, and COPD, respectively. Conclusion The upper limit of frailty in trials is lower than has been described in the general population. However, mild to moderate frailty was common, suggesting trial data may be harnessed to inform disease management in people living with frailty. Participants with higher FI experienced more serious adverse events, suggesting screening for frailty in trial participants would enable identification of those that merit closer monitoring. Frailty is identifiable and prevalent among middle-aged and older participants in phase 3/4 drug trials and has clinically important safety implications.
topic Frailty
Randomised controlled trials
Diabetes mellitus
Rheumatoid arthritis
Chronic obstructive pulmonary disease
url http://link.springer.com/article/10.1186/s12916-020-01752-1
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