Literature DB >> 23794198

Risk factors for treatment failure with antiosteoporosis medication: the global longitudinal study of osteoporosis in women (GLOW).

Adolfo Díez-Pérez1, Jonathan D Adachi, Silvano Adami, Frederick A Anderson, Steven Boonen, Roland Chapurlat, Juliet E Compston, Cyrus Cooper, Stephen H Gehlbach, Susan L Greenspan, Frederick H Hooven, Andrea Z LaCroix, Jeri W Nieves, J Coen Netelenbos, Johannes Pfeilschifter, Maurizio Rossini, Christian Roux, Kenneth G Saag, Stuart Silverman, Ethel S Siris, Allison Wyman, Sophie K Rushton-Smith, Nelson B Watts.   

Abstract

Antiosteoporosis medication (AOM) does not abolish fracture risk, and some individuals experience multiple fractures while on treatment. Therefore, criteria for treatment failure have recently been defined. Using data from the Global Longitudinal Study of Osteoporosis in Women (GLOW), we analyzed risk factors for treatment failure, defined as sustaining two or more fractures while on AOM. GLOW is a prospective, observational cohort study of women aged ≥55 years sampled from primary care practices in 10 countries. Self-administered questionnaires collected data on patient characteristics, fracture risk factors, previous fractures, AOM use, and health status. Data were analyzed from women who used the same class of AOM continuously over 3 survey years and had data available on fracture occurrence. Multivariable logistic regression was used to identify independent predictors of treatment failure. Data from 26,918 women were available, of whom 5550 were on AOM. During follow-up, 73 of 5550 women in the AOM group (1.3%) and 123 of 21,368 in the non-AOM group (0.6%) reported occurrence of two or more fractures. The following variables were associated with treatment failure: lower Short Form 36 Health Survey (SF-36) score (physical function and vitality) at baseline, higher Fracture Risk Assessment Tool (FRAX) score, falls in the past 12 months, selected comorbid conditions, prior fracture, current use of glucocorticoids, need of arms to assist to standing, and unexplained weight loss ≥10 lb (≥4.5 kg). Three variables remained predictive of treatment failure after multivariable analysis: worse SF-36 vitality score (odds ratio [OR] per 10-point increase, 0.85; 95% confidence interval [CI], 0.76-0.95; p = 0.004); two or more falls in the past year (OR, 2.40; 95% CI, 1.34-4.29; p = 0.011), and prior fracture (OR, 2.93; 95% CI, 1.81-4.75; p < 0.0001). The C statistic for the model was 0.712. Specific strategies for fracture prevention should therefore be developed for this subgroup of patients.
© 2014 American Society for Bone and Mineral Research.

Entities:  

Keywords:  ANTIRESORPTIVE THERAPY; OSTEOPOROSIS TREATMENT; RISK FACTORS; TREATMENT FAILURE

Mesh:

Substances:

Year:  2014        PMID: 23794198      PMCID: PMC4878143          DOI: 10.1002/jbmr.2023

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  20 in total

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2.  Differing risk profiles for individual fracture sites: evidence from the Global Longitudinal Study of Osteoporosis in Women (GLOW).

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4.  Vertebral deformities and functional impairment in men and women.

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5.  Once-yearly zoledronic acid for treatment of postmenopausal osteoporosis.

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Journal:  N Engl J Med       Date:  2007-05-03       Impact factor: 91.245

6.  Efficacy of bazedoxifene in reducing new vertebral fracture risk in postmenopausal women with osteoporosis: results from a 3-year, randomized, placebo-, and active-controlled clinical trial.

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Authors:  B Abrahamsen; K H Rubin; P A Eiken; R Eastell
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8.  Validating the SF-36 health survey questionnaire: new outcome measure for primary care.

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Authors:  A Diez-Perez; J D Adachi; D Agnusdei; J P Bilezikian; J E Compston; S R Cummings; R Eastell; E F Eriksen; J Gonzalez-Macias; U A Liberman; D A Wahl; E Seeman; J A Kanis; C Cooper
Journal:  Osteoporos Int       Date:  2012-07-27       Impact factor: 4.507

10.  The Global Longitudinal Study of Osteoporosis in Women (GLOW): rationale and study design.

Authors:  F H Hooven; J D Adachi; S Adami; S Boonen; J Compston; C Cooper; P Delmas; A Diez-Perez; S Gehlbach; S L Greenspan; A LaCroix; R Lindsay; J C Netelenbos; J Pfeilschifter; C Roux; K G Saag; P Sambrook; S Silverman; E Siris; N B Watts; F A Anderson
Journal:  Osteoporos Int       Date:  2009-05-26       Impact factor: 4.507

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  20 in total

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Journal:  Nat Rev Rheumatol       Date:  2013-08-13       Impact factor: 20.543

Review 2.  Insights from the Global Longitudinal Study of Osteoporosis in Women (GLOW).

Authors:  Nelson B Watts
Journal:  Nat Rev Endocrinol       Date:  2014-04-22       Impact factor: 43.330

3.  Identifying patients on osteoporosis treatment who are at highest risk of fractures.

Authors: 
Journal:  Bonekey Rep       Date:  2013-11-27

4.  Bone: Which model to predict fracture risk?

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5.  Predictors of re-fracture amongst patients managed within a secondary fracture prevention program: a 7-year prospective study.

Authors:  K Ganda; A Schaffer; M J Seibel
Journal:  Osteoporos Int       Date:  2014-09-05       Impact factor: 4.507

6.  Comparison between frailty index of deficit accumulation and fracture risk assessment tool (FRAX) in prediction of risk of fractures.

Authors:  Guowei Li; Lehana Thabane; Alexandra Papaioannou; Jonathan D Adachi
Journal:  Bone       Date:  2015-04-25       Impact factor: 4.398

7.  Frailty Change and Major Osteoporotic Fracture in the Elderly: Data from the Global Longitudinal Study of Osteoporosis in Women 3-Year Hamilton Cohort.

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8.  Bone mineral density response prediction following osteoporosis treatment using machine learning to aid personalized therapy.

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9.  Frailty index of deficit accumulation and falls: data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) Hamilton cohort.

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Journal:  BMC Musculoskelet Disord       Date:  2014-05-29       Impact factor: 2.362

10.  Comparison between frailty index of deficit accumulation and phenotypic model to predict risk of falls: data from the global longitudinal study of osteoporosis in women (GLOW) Hamilton cohort.

Authors:  Guowei Li; Lehana Thabane; George Ioannidis; Courtney Kennedy; Alexandra Papaioannou; Jonathan D Adachi
Journal:  PLoS One       Date:  2015-03-12       Impact factor: 3.240

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