Clinically Important Differences for Mobility Measures Derived from the Testosterone Trials.


Journal

Journal of the American Geriatrics Society
ISSN: 1532-5415
Titre abrégé: J Am Geriatr Soc
Pays: United States
ID NLM: 7503062

Informations de publication

Date de publication:
02 2021
Historique:
received: 04 06 2020
revised: 22 09 2020
accepted: 22 10 2020
pubmed: 20 11 2020
medline: 18 9 2021
entrez: 19 11 2020
Statut: ppublish

Résumé

Accurate estimates of clinically important difference (CID) are required for interpreting the clinical importance of treatments to improve physical function, but CID estimates vary in different disease populations. We determined the CID for two common measures of walking ability in mobility-limited older men. Longitudinal, multisite placebo-controlled trial. Men enrolled in the Testosterone Trials who had self-reported mobility limitation and gait speed less than 1.2 m/second (n = 429). Testosterone- and placebo-allocated participants were combined for this study. Mean changes from baseline, adjusting for time-in-intervention and site, were 29.6, 13.2, 12.5, -2.4, and -32.6 m for 6MWD, and 15.4, 7.2, 2.1, -3.4, and -7.2 for PF10 in men who reported their mobility was "very/much better," "little better," "no change," "little worse," or "much worse," respectively. CID estimates using regression, ROC, and eCDF varied from 5.0-29.6 m for 6MWD, and 5.0-15.2 points for PF10. CID estimates vary by the population studied and by the method and precision of measurement. Increases of 16 to 30 m for 6MWD and 5 to 15 points for PF10 over 12 months appear to be clinically meaningful in mobility-limited, older hypogonadal men. These CID estimates may be useful in the design of efficacy trials of therapies to improve physical function.

Sections du résumé

BACKGROUND/OBJECTIVES
Accurate estimates of clinically important difference (CID) are required for interpreting the clinical importance of treatments to improve physical function, but CID estimates vary in different disease populations. We determined the CID for two common measures of walking ability in mobility-limited older men.
DESIGN
Longitudinal, multisite placebo-controlled trial.
SETTING/PARTICIPANTS
Men enrolled in the Testosterone Trials who had self-reported mobility limitation and gait speed less than 1.2 m/second (n = 429). Testosterone- and placebo-allocated participants were combined for this study.
RESULTS
Mean changes from baseline, adjusting for time-in-intervention and site, were 29.6, 13.2, 12.5, -2.4, and -32.6 m for 6MWD, and 15.4, 7.2, 2.1, -3.4, and -7.2 for PF10 in men who reported their mobility was "very/much better," "little better," "no change," "little worse," or "much worse," respectively. CID estimates using regression, ROC, and eCDF varied from 5.0-29.6 m for 6MWD, and 5.0-15.2 points for PF10.
CONCLUSION
CID estimates vary by the population studied and by the method and precision of measurement. Increases of 16 to 30 m for 6MWD and 5 to 15 points for PF10 over 12 months appear to be clinically meaningful in mobility-limited, older hypogonadal men. These CID estimates may be useful in the design of efficacy trials of therapies to improve physical function.

Identifiants

pubmed: 33210287
doi: 10.1111/jgs.16942
pmc: PMC8500528
mid: NIHMS1717479
doi:

Substances chimiques

Androgens 0
Testosterone 3XMK78S47O

Types de publication

Journal Article Multicenter Study Randomized Controlled Trial Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

517-523

Subventions

Organisme : NIA NIH HHS
ID : P30 AG031679
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG030644
Pays : United States
Organisme : NIA NIH HHS
ID : P30 AG021342
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000142
Pays : United States
Organisme : NIH HHS
ID : 5P30AG031679
Pays : United States
Organisme : NIH HHS
ID : P30-AG021342
Pays : United States

Informations de copyright

© 2020 The American Geriatrics Society.

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Auteurs

Alisa J Stephens-Shields (AJ)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

John T Farrar (JT)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Susan S Ellenberg (SS)

Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Thomas W Storer (TW)

Research Program in Men's Health: Aging and Metabolism, Boston Claude D. Pepper Older Americans Independence Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Thomas M Gill (TM)

Section of Geriatric Medicine, Yale School of Medicine, New Haven, Connecticut, USA.

Shehzad Basaria (S)

Research Program in Men's Health: Aging and Metabolism, Boston Claude D. Pepper Older Americans Independence Center, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Marco Pahor (M)

Department of Aging & Geriatric Research, University of Florida, Gainesville, Florida, USA.

Jane A Cauley (JA)

Department of Epidemiology, University of Pittsburgh, Graduate School of Public Health, Pittsburgh, Pennsylvania, USA.

Kristine E Ensrud (KE)

Department of Medicine, Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, USA.
Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, Minnesota, USA.

Peter Preston (P)

Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

David Cella (D)

Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Peter J Snyder (PJ)

Division of Endocrinology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.

Shalender Bhasin (S)

Section of Geriatric Medicine, Yale School of Medicine, New Haven, Connecticut, USA.

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Classifications MeSH