Literature DB >> 31152183

Five-year refracture rates of a province-wide fracture liaison service.

R Sujic1, D E Beaton2,3,4, M Mamdani3,5,6,7, S M Cadarette6,7,8, J Luo6, S Jaglal6,9,10, J E M Sale2,3, R Jain11, E Bogoch12,13.   

Abstract

We examined the 5-year refracture rate of 6543 patients and found an overall rate of 9.7%. Adjusted analysis showed that presenting with multiple fractures was an indicator of a higher refracture risk; while presenting with an ankle fracture was associated with a lower refracture risk.
INTRODUCTION: To examine refractures among patients screened in a province-wide fracture liaison service (FLS).
METHODS: We assessed the 5-year refracture rate of fragility fracture patients aged 50+ who were screened at 37 FLS fracture clinics in Ontario, Canada. Refracture was defined as a new hip, pelvis, spine, distal radius, or proximal humerus fracture. Kaplan-Meier curves and Cox proportional hazards model adjusting for age, sex, and index fracture type were used to examine refracture rates.
RESULTS: The 5-year refracture rate of 6543 patients was 9.7%. Those presenting with multiple fractures at baseline (i.e., two or more fractures occurring simultaneously) had the highest refracture rate of 19.6%. As compared to the 50-65 age group, refracture risk increased monotonically with age group (66-70 years: HR = 1.3, CI 95%, 1.0-1.7; 71-80 years: HR = 1.7, CI 1.4-2.1; 81+ years: HR = 3.0, CI 2.4-3.7). Relative to distal radius, presenting with multiple fractures at screening was associated with a higher risk of refracture (HR = 2.3 CI 1.6-3.1), while presenting with an ankle fracture was associated with a lower risk of refracture (HR = 0.7 CI 0.6-0.9). Sex was not a statistically significant predictor of refracture risk in this cohort (HR = 1.2, CI 1.0-1.5).
CONCLUSIONS: One in ten patients in our cohort refractured within 5 years after baseline. Presenting with multiple fractures was an indicator of a higher refracture risk, while presenting with an ankle fracture was associated with a lower refracture risk. A more targeted FLS approach may be appropriate for patients at a higher refracture risk.

Entities:  

Keywords:  Fracture liaison service; Fragility fracture; Refracture rates; Refracture risk

Mesh:

Year:  2019        PMID: 31152183     DOI: 10.1007/s00198-019-05017-3

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  33 in total

1.  Foot and ankle fractures in elderly white women. Incidence and risk factors.

Authors:  Carl T Hasselman; Molly T Vogt; Katie L Stone; Jane A Cauley; Stephen F Conti
Journal:  J Bone Joint Surg Am       Date:  2003-05       Impact factor: 5.284

2.  2010 clinical practice guidelines for the diagnosis and management of osteoporosis in Canada: summary.

Authors:  Alexandra Papaioannou; Suzanne Morin; Angela M Cheung; Stephanie Atkinson; Jacques P Brown; Sidney Feldman; David A Hanley; Anthony Hodsman; Sophie A Jamal; Stephanie M Kaiser; Brent Kvern; Kerry Siminoski; William D Leslie
Journal:  CMAJ       Date:  2010-10-12       Impact factor: 8.262

3.  Meta-analysis: excess mortality after hip fracture among older women and men.

Authors:  Patrick Haentjens; Jay Magaziner; Cathleen S Colón-Emeric; Dirk Vanderschueren; Koen Milisen; Brigitte Velkeniers; Steven Boonen
Journal:  Ann Intern Med       Date:  2010-03-16       Impact factor: 25.391

4.  Addition of a fracture risk assessment to a coordinator's role improved treatment rates within 6 months of screening in a fragility fracture screening program.

Authors:  D E Beaton; M Vidmar; K B Pitzul; R Sujic; N K Rotondi; E R Bogoch; J E M Sale; R Jain; J Weldon
Journal:  Osteoporos Int       Date:  2016-10-21       Impact factor: 4.507

5.  An estimate of the worldwide prevalence and disability associated with osteoporotic fractures.

Authors:  O Johnell; J A Kanis
Journal:  Osteoporos Int       Date:  2006-09-16       Impact factor: 4.507

6.  The Ontario Osteoporosis Strategy: implementation of a population-based osteoporosis action plan in Canada.

Authors:  S B Jaglal; G Hawker; C Cameron; J Canavan; D Beaton; E Bogoch; R Jain; A Papaioannou
Journal:  Osteoporos Int       Date:  2010-03-23       Impact factor: 4.507

7.  Meta-analyses of therapies for postmenopausal osteoporosis. IX: Summary of meta-analyses of therapies for postmenopausal osteoporosis.

Authors:  Ann Cranney; Gordon Guyatt; Lauren Griffith; George Wells; Peter Tugwell; Clifford Rosen
Journal:  Endocr Rev       Date:  2002-08       Impact factor: 19.871

8.  A fracture prevention service reduces further fractures two years after incident minimal trauma fracture.

Authors:  John Van der Kallen; Michelle Giles; Kerry Cooper; Kerry Gill; Vicki Parker; Agness Tembo; Gabor Major; Linda Ross; Jan Carter
Journal:  Int J Rheum Dis       Date:  2013-05-28       Impact factor: 2.454

9.  Osteoporosis quality indicators using healthcare utilization data.

Authors:  S M Cadarette; S B Jaglal; L Raman-Wilms; D E Beaton; J M Paterson
Journal:  Osteoporos Int       Date:  2010-06-25       Impact factor: 4.507

10.  Improvements in osteoporosis testing and care are found following the wide scale implementation of the Ontario Fracture Clinic Screening Program: An interrupted time series analysis.

Authors:  Dorcas E Beaton; Muhammad Mamdani; Hong Zheng; Susan Jaglal; Suzanne M Cadarette; Earl R Bogoch; Joanna E M Sale; Rebeka Sujic; Ravi Jain
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

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  3 in total

Review 1.  Long-term clinical and socio-economic outcomes following wrist fracture: a systematic review and meta-analysis.

Authors:  O O Babatunde; M Bucknall; C Burton; J J Forsyth; N Corp; S Gwilym; Z Paskins; D A van der Windt
Journal:  Osteoporos Int       Date:  2021-11-11       Impact factor: 4.507

2.  Risk factors of mortality and second fracture after elderly hip fracture surgery in Shanghai, China.

Authors:  Minmin Chen; Yanping Du; Wenjing Tang; Weijia Yu; Huilin Li; Songbai Zheng; Qun Cheng
Journal:  J Bone Miner Metab       Date:  2022-08-08       Impact factor: 2.976

3.  Machine Learning Algorithms: Prediction and Feature Selection for Clinical Refracture after Surgically Treated Fragility Fracture.

Authors:  Hirokazu Shimizu; Ken Enda; Tomohiro Shimizu; Yusuke Ishida; Hotaka Ishizu; Koki Ise; Shinya Tanaka; Norimasa Iwasaki
Journal:  J Clin Med       Date:  2022-04-05       Impact factor: 4.241

  3 in total

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