Relative survival after hospitalisation for hip fracture in older people in New South Wales, Australia.
Survival after hospitalisation for hip fracture by age group and sex relative to survival in the general population was assessed in people aged 65+. Men had double the risk of death compared with women to 1 year, but age effects lasted only to 3 months. Clinical outcomes need to be improved.


BACKGROUND
We assessed the relative survival of hospitalised fall-related hip fracture patients aged 65+ years leaving hospital in New South Wales, Australia, between July 2000 and December 2003.


METHODS
We carried out a population-based study of all hospital separations for NSW residents with a principal diagnosis of hip fracture (ICD-10-AM S72.0 to S72.2) and first external cause of fall (ICD-10-AM codes W00 to W19), linked to NSW death data. A total of 16,836 cases were included. Relative survival 3 to 36 months post-admission by 10-year age groups and sex was calculated, using NSW life tables for 2002-2004. Relative excess risk was modelled using a generalised linear model with Poisson error structure, using the life table data.


RESULTS
One-year cumulative relative survival in 65- to 74-year-olds was 82% (men), 90% (women); in 85+-year-olds 65% (men), 80% (women). Men have a relative excess risk of death of 2.2 (95% CI 2.03-2.38) times that of women. Only 21% of deaths mention the hip fracture as contributing to death.


CONCLUSIONS
There is a need to reduce the number of hip fractures and improve clinical outcomes for older people hospitalised with hip fractures.
Centre for Epidemiology and Research, NSW Department of Health, Sydney, Australia. diane.hindmarsh@sesiahs.health.nsw.gov.au
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D000058:Accidental Falls / Q000706:statistics & numerical data; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D016330:Frail Elderly; D006620:Hip Fractures / Q000453:epidemiology / Q000401:mortality*; D006760:Hospitalization / Q000706:statistics & numerical data; D006801:Humans; D015993:Life Tables; D016014:Linear Models; D008297:Male; D009517:New South Wales / Q000453:epidemiology; D012306:Risk; D017678:Sex Distribution; D015996:Survival Rate