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The limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: A cohort study

PURPOSE: To evaluate the effects of different definitions of glucocorticoid (GC) exposure on the magnitude and pattern of fracture risk using the same dataset. METHODS: Data from patients with rheumatoid arthritis (RA) were extracted from the Clinical Practice Research Datalink, a primary care datab...

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Detalles Bibliográficos
Autores principales: Robinson, Danielle E., van Staa, Tjeerd P., Dennison, Elaine M., Cooper, Cyrus, Dixon, William G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173307/
https://www.ncbi.nlm.nih.gov/pubmed/30218790
http://dx.doi.org/10.1016/j.bone.2018.09.004
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author Robinson, Danielle E.
van Staa, Tjeerd P.
Dennison, Elaine M.
Cooper, Cyrus
Dixon, William G.
author_facet Robinson, Danielle E.
van Staa, Tjeerd P.
Dennison, Elaine M.
Cooper, Cyrus
Dixon, William G.
author_sort Robinson, Danielle E.
collection PubMed
description PURPOSE: To evaluate the effects of different definitions of glucocorticoid (GC) exposure on the magnitude and pattern of fracture risk using the same dataset. METHODS: Data from patients with rheumatoid arthritis (RA) were extracted from the Clinical Practice Research Datalink, a primary care database with electronic health records in the United Kingdom. Patients exposed to oral GCs were matched to up to two unexposed patients by age, gender and location. The first osteoporotic fracture was identified and adjusted and unadjusted cox proportional hazard ratios (HR) and 95% confidence intervals (CI) produced for fracture risk following GC therapy using different models of risk attribution. These include models demonstrating the effect of dose, duration and recency of GC exposure. RESULTS: There were 16,507 patients included. Exposed patients were older and had more comorbidities. GC therapy was associated with an increased risk of fracture, with the effect size influenced by risk attribution model. The risk of fracture decreased with less recent exposure from HR (95% CI) 1.66 (1.27, 2.16) during the first month of stopping GCs to 1.11 (0.79, 1.57) for between 1 and 3 months. The risk of fracture increased with current daily dose, HR 1.44 (1.17, 1.77) for 5–9.9 mg prednisolone equivalent dose (PEQ) to 3.02 (1.77, 5.15) for 15–19.9 mg PEQ. Risk of fracture increased with cumulative dose, a function of dose and duration, from HR 1.22 (1.03, 1.44) for <1 g to 1.83 (1.35, 2.48) for 7.5–10 g. CONCLUSION: GC exposure was associated with excess fracture risk, with effect size differing according to definition of exposure. This highlights the need to incorporate all exposure dimensions (dose, duration and recency) in these patient's fracture risk assessments.
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spelling pubmed-61733072018-12-01 The limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: A cohort study Robinson, Danielle E. van Staa, Tjeerd P. Dennison, Elaine M. Cooper, Cyrus Dixon, William G. Bone Article PURPOSE: To evaluate the effects of different definitions of glucocorticoid (GC) exposure on the magnitude and pattern of fracture risk using the same dataset. METHODS: Data from patients with rheumatoid arthritis (RA) were extracted from the Clinical Practice Research Datalink, a primary care database with electronic health records in the United Kingdom. Patients exposed to oral GCs were matched to up to two unexposed patients by age, gender and location. The first osteoporotic fracture was identified and adjusted and unadjusted cox proportional hazard ratios (HR) and 95% confidence intervals (CI) produced for fracture risk following GC therapy using different models of risk attribution. These include models demonstrating the effect of dose, duration and recency of GC exposure. RESULTS: There were 16,507 patients included. Exposed patients were older and had more comorbidities. GC therapy was associated with an increased risk of fracture, with the effect size influenced by risk attribution model. The risk of fracture decreased with less recent exposure from HR (95% CI) 1.66 (1.27, 2.16) during the first month of stopping GCs to 1.11 (0.79, 1.57) for between 1 and 3 months. The risk of fracture increased with current daily dose, HR 1.44 (1.17, 1.77) for 5–9.9 mg prednisolone equivalent dose (PEQ) to 3.02 (1.77, 5.15) for 15–19.9 mg PEQ. Risk of fracture increased with cumulative dose, a function of dose and duration, from HR 1.22 (1.03, 1.44) for <1 g to 1.83 (1.35, 2.48) for 7.5–10 g. CONCLUSION: GC exposure was associated with excess fracture risk, with effect size differing according to definition of exposure. This highlights the need to incorporate all exposure dimensions (dose, duration and recency) in these patient's fracture risk assessments. Elsevier Science 2018-12 /pmc/articles/PMC6173307/ /pubmed/30218790 http://dx.doi.org/10.1016/j.bone.2018.09.004 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Robinson, Danielle E.
van Staa, Tjeerd P.
Dennison, Elaine M.
Cooper, Cyrus
Dixon, William G.
The limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: A cohort study
title The limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: A cohort study
title_full The limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: A cohort study
title_fullStr The limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: A cohort study
title_full_unstemmed The limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: A cohort study
title_short The limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: A cohort study
title_sort limitations of using simple definitions of glucocorticoid exposure to predict fracture risk: a cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173307/
https://www.ncbi.nlm.nih.gov/pubmed/30218790
http://dx.doi.org/10.1016/j.bone.2018.09.004
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