Osteoporosis 2016 | Impact of falls on fractures and mortality – an opportunity for intervention and enhancement of fracture prediction? Sarah Chiu #osteo2016
Sarah Chiu's presentation from Osteoporosis 2016: Impact of falls on fractures and mortality – an opportunity for intervention and enhancement of fracture prediction?
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Osteoporosis 2016 | Impact of falls on fractures and mortality – an opportunity for intervention and enhancement of fracture prediction? Sarah Chiu #osteo2016
1. Impact of falls on
fractures and mortality
– an opportunity for intervention
and enhancement of fracture
prediction?
Sarah Chiu, Elizabeth Leneghan,
Lee Shepstone, Fraser Birrell,
Nicholas Harvey, Eugene
McCloskey
4. Risk factors in FRAX…
https://www.shef.ac.uk/FRAX/tool.jsp
Falls
Not currently directly included in FRAX
Other variables in FRAX relate to falls e.g. prior fracture
5. Aim
• To determine if a history of falls predicts
future outcomes independently of FRAX,
including:
– Fractures
– Mortality
• Analysis undertaken using data from the MRC-
and ArthritisResearch UK-funded SCOOP study
6. Letter of invitation
Agree to
take part
CONTROL SCREENING
Intermediate/
High
DXA
Low RiskHigh Risk Unknown
Baseline
Information
Randomisation
Low Risk
• 12 483 women aged 70-85 years,
not on anti-osteoporotic
medication identified from GP
lists
• 7 geographical regions of the UK
• Randomly allocated to control
(usual management) or
intervention (screening).
• In those subjects deemed at high
risk of hip fracture, family doctor
advised to intervene.
• Follow-up for 5 years.
• Osteoporotic fracture as primary
endpoint; hip fracture and
mortality as secondary
endpoints.
Including FRAX questionnaire
FRAX
FRAX
7. At entry, 3444 (27.6%) women reported
one or more falls in the previous year
Table 1: Summary of Baseline Characteristics of Fallers and Non-Fallers
Fallers
(n=3444)
Non-Fallers
(n=8924) p-value
Age (Years) 76±4.28 75.4±4.09 <0.001
BMI 27.05±4.99 26.54±6.29 <0.001
Baseline prevalence (%) of FRAX risk factors
Prior Fracture 1021 (29.6) 1812 (20.3) <0.001
Parental Hip Fracture 348 (10.1) 804 (9.0) 0.007
Current Smoker 152 (4.4) 420 (4.7) 0.489
Alcohol ≥3units/day 141 (4.1) 298 (3.3) 0.049
Glucocorticoid Use 203 (5.9) 421 (4.7) 0.003
Rheumatoid Arthritis 284 (8.2) 538 (6.0) <0.001
Secondary Osteoporosis 979 (28.4) 1879 (21.1) <0.001
8. Fracture and mortality outcomes in
fallers and non-fallers
P<0.001
P<0.001
P<0.001
P<0.001
%
Outcome
9. Relative risk* of outcomes in
fallers
1.32
1.34
1.36
1.36
1.17 1.19
1.22
1.18
10. Relative risk* of outcomes in
fallers
Relative Risk* P-Value
Any Osteoporotic
Fracture 1.18 0.014
Major Osteoporotic
Fracture 1.19 0.017
Death 1.19 0.036
11. • Self-reported history of falls
• Not yet examined impact of single or multiple
falls
• Age range and gender limited
• Large well-characterized community-based
sample
• Excellent capture of incident events (only
verified fractures included)
Limitations and Strengths
13. Conclusions
•A history of a fall in the last year is associated with incident
fractures and mortality in women 70-85 years of age in the UK.
•A history of a fall confers a risk that is independent of existing
variables used in FRAX
•Identifying those at highest risk for falls and fractures may
enable targeting of interventions with exercise, nutritional
and/or pharmacological approaches to reduce the burden of
disease and improve healthy ageing.
14. Acknowledgements
• MRC – ArthritisResearch UK
Centre for Integrated
research into
Musculoskeletal Ageing
(CIMA), Department of
Oncology and Metabolism,
University of Sheffield;
ArthritisResearch UK
• Eugene McCloskey (Sheffield)
• Fraser Birrell (Newcastle)
Editor's Notes
I have no conflicts of interest to declare
The FRAX model is commonly used for fracture risk assessment. It currently includes the following risk factors: Age, BMI, smoking, rheumatoid arthritis, secondary osteoporosis, prior history of fracture, drinking &gt;3 units per day, parental history of hip fracture, and glucocorticoids
A history of falls is not currently directly included in FRAX. However, other variables in FRAX do relate to a history of falls, notably prior history of fracture.
Check ARUK logo and check to see if ARUK is AR UK
The aim of this project is to determine if history of falls predicts future outcomes, that is fractures and mortality, independently of FRAX. The analysis was undertaken using data from the MRC- and ARUK- funded scoop study.
Message: focus on baseline and outcomes
Scoop study presented on Monday so reminder
The scoop study is A pragmatic randomized controlled trial of the effectiveness and cost effectiveness of screening for osteoporosis in older women for the prevention of fractures. The scoop study was presented in detail yesterday, but in brief, 12 483 women aged 70-85 years of age, not on anti-op medication were identified from gp lists. The women were recruited from 7 geographical regions in the uk and allocated to a screening and control arm. The family doctor of those identified as high risk of hip fracture were asked to intervene. The women were followed up for 5 years with op fracture as the primary endpoint and hip fracture and mortality as secondary endpoints. For this project, we focused on the information from baseline and outcomes.
At entry, 3444 (27.6%) of the women reported one or more falls in the previous years. The fallers were older, had a higher bmi, had a higher prevalence of previous fracture, more likely to have a parent who had fractured a hip. There was no significant difference in smoking prevalence. Fallers reported drinking more, had a higher prevalence of glucocorticoid use, a higher percentage of rheumatoid arthritis, and a higher prevalence of secondary osteoporosis.
This slide shows the differences in outcomes between fallers and non-fallers. Fallers are shown in blue and non-fallers are shown in red. The y axis shows the percent of each group who had that outcome. The fallers were about a 1/5 more likely to have an osteoporotic fracture, roughly 1/5 more likely to have a major osteoporotic fracture, about a quarter more likely to have a hop fracture, and about a 1/5 more likely to have died. In summary, fallers were more likely to have fracture and mortality outcomes. Of note. 89% of participants completed the study. Of those who withdrew and died, the mean time to death was 3 years, and the mean time to withdrawal was 2 years.
OP #: Fallers (1/6) non fallers (1/8)
Major op #: fallers (1/8) non-fallers (1/10)
Hip #: fallers (1/27) non fallers (1/36)
Died: fallers (1/13) non-fallers (1/16)
Get median f/u from paper and state them
87.5% of fallers completed study, 90.2% of non-fallers completed (89% of participants completed)
Mean post rand withdrawal 2yr, mean post rand death 2.9/3yr (roughly same for fallers and non fallers)
Describe with fractions
This figure shows the difference in outcomes between fallers and non fallers. The y-axis is percent. For op fracture, fallers suffered 1/5 more op fractures. Fallers had 1/5 more major op fractures, ¼ more hip fractures, and 1/5 greater mortality.
Any osteoporotic fracture: 1.32 (1.17); Major osteoporotic fracture 1.34 (1.19); Hip Fracture 1.36 (1.22); Mortality 1.36 (1.18)
This figuere shows the relative risk for history of falls. The unadjusted relative risk is shown in blue, and the yellow is the adjusted risk for FRAX variables without t-score. For frature outcomes and mortality, the unadjusted relative risk is roughly 1.35. The adjusted relative risk for fracture outcomes and mortality is roughly 1.2. After adjustment, history of falls remains a significant predictor for fracture outcomes and death.
In a stepwise logistic regression model incorporating FRAX variables without T-score, a history of falls remains a significant predictor for any osteoporotic fracture, major osteoportic fracture, and death with the relative risk being around 1.2, which is similar to the adjusted relative risk
So there are some strenghts and limitations to this study. Some limitations are as follows:
However, the strengths of this study are as follows: