Psychiatric illness predicts poor outcome after surgery for hip fracture: a prospective cohort study

Psychol Med. 2000 Jul;30(4):921-9. doi: 10.1017/s0033291799002548.


Background: Hip fracture is common in the elderly. Previous studies suggest that psychiatric illness is common and predicts poor outcome, but have methodological weaknesses. Further studies are required to address this important issue.

Methods: We prospectively recruited 731 elderly participants with hip fracture in two Leeds hospitals. Psychiatric diagnosis was made within 5 days of surgery using the Geriatric Mental State schedule and other standardized instruments, and data on confounding factors was collected. Main study outcomes were length of hospital stay, and mortality over 6 months after fracture.

Results: Fifty-five per cent of participants had cognitive impairment (dementia in 40% and delirium in 15%), 13% had a depressive disorder, 2% had alcohol misuse and 2% had other psychiatric diagnoses. Participants were likely to remain in hospital longer if they suffered from dementia, delirium or depression. The relative risks of mortality over 6 months after hip fracture were increased in dementia and delirium, but not in depression.

Conclusions: Psychiatric illness is common after hip fracture, and has significant effects on important outcomes. This suggests a need for randomized, controlled trials of psychiatric interventions in the elderly hip fracture population.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Depression / complications*
  • Depression / etiology
  • Female
  • Geriatric Assessment*
  • Hip Fractures / mortality*
  • Hip Fractures / psychology*
  • Humans
  • Length of Stay
  • Male
  • Mental Disorders / complications*
  • Mental Disorders / etiology
  • Mental Status Schedule
  • Neurocognitive Disorders / complications*
  • Neurocognitive Disorders / etiology
  • Prognosis
  • Proportional Hazards Models
  • Prospective Studies
  • Risk Factors
  • Survival Analysis
  • United Kingdom