Literature DB >> 30030587

Incidence of subsequent fractures in the UK between 1990 and 2012 among individuals 50 years or older.

R Y van der Velde1,2, C E Wyers1,2, P P M M Geusens3,4, J P W van den Bergh1,2,4, F de Vries5,6, C Cooper7,8,9, T P van de Staa6,10,11, N C Harvey12,13.   

Abstract

We studied the incidence of subsequent fractures in persons of 50+ years from 1990 to 2012 and the relative risk (RR) of subsequent fractures after an index femur/hip fracture, stratified per 5-year age band. Patients suffering a fracture have a high incidence of a subsequent fracture; the RR of subsequent fracture after a femur/hip fracture ranged from 2 to 7.
INTRODUCTION: Recent information on the risk of subsequent fractures after a broad range of index fractures in the UK population is scarce. We therefore studied the rates of subsequent fractures of the femur/hip, humerus, radius/ulna, vertebrae, rib, or pelvis after fractures at one of these sites from 1990 to 2012 in 3,156,347 UK men and women aged 50 years or over.
METHODS: We undertook a retrospective observational study using the UK Clinical Practice Research Datalink (CPRD). The incidence of subsequent fractures at a specific site was calculated by dividing the observed number of fractures by the number of person-years (py) at risk. The relative risk (RR) of subsequent fractures after a femur/hip fracture, by 5-year age band, was calculated by dividing the incidence of a specific subsequent fracture type by the incidence of first fractures at the same site in the same age group.
RESULTS: The highest subsequent fracture incidence after a femur/hip fracture was for humerus fracture in men (59.5/10.000 py) and radius/ulna fracture in women (117.2/10.000 py). After an index fracture of the radius/ulna, humerus fracture in men (59.3/10.000 py) and femur/hip fracture in women (82.4 per 10.000 py) were most frequent. The RR of fractures after a femur/hip fracture ranged from 2 to 7 and were highest in men and younger age groups.
CONCLUSION: Patients suffering a fracture have a high incidence of a subsequent fracture. Our findings demonstrate the importance of fracture prevention in patients with a history of a fracture by adequate medical diagnosis and treatment.

Entities:  

Keywords:  Epidemiology; Fracture incidence; Osteoporosis; Subsequent fractures

Mesh:

Year:  2018        PMID: 30030587      PMCID: PMC6205600          DOI: 10.1007/s00198-018-4636-0

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


  7 in total

1.  The UK General Practice Research Database.

Authors:  T Walley; A Mantgani
Journal:  Lancet       Date:  1997-10-11       Impact factor: 79.321

Review 2.  Validity of diagnostic coding within the General Practice Research Database: a systematic review.

Authors:  Nada F Khan; Sian E Harrison; Peter W Rose
Journal:  Br J Gen Pract       Date:  2010-03       Impact factor: 5.386

3.  Validity of diagnoses in the general practice research database.

Authors:  Emily L Herrett; Sara L Thomas; Liam Smeeth
Journal:  Br J Gen Pract       Date:  2011-07       Impact factor: 5.386

Review 4.  Recent advances in the utility and use of the General Practice Research Database as an example of a UK Primary Care Data resource.

Authors:  Tim Williams; Tjeerd van Staa; Shivani Puri; Susan Eaton
Journal:  Ther Adv Drug Saf       Date:  2012-04

5.  The use of a large pharmacoepidemiological database to study exposure to oral corticosteroids and risk of fractures: validation of study population and results.

Authors:  T P Van Staa; L Abenhaim; C Cooper; B Zhang; H G Leufkens
Journal:  Pharmacoepidemiol Drug Saf       Date:  2000-09       Impact factor: 2.890

6.  Data Resource Profile: Clinical Practice Research Datalink (CPRD).

Authors:  Emily Herrett; Arlene M Gallagher; Krishnan Bhaskaran; Harriet Forbes; Rohini Mathur; Tjeerd van Staa; Liam Smeeth
Journal:  Int J Epidemiol       Date:  2015-06-06       Impact factor: 7.196

7.  Secular trends in fracture incidence in the UK between 1990 and 2012.

Authors:  R Y van der Velde; C E Wyers; E M Curtis; P P M M Geusens; J P W van den Bergh; F de Vries; C Cooper; T P van Staa; N C Harvey
Journal:  Osteoporos Int       Date:  2016-06-09       Impact factor: 4.507

  7 in total

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