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A Risk Assessment Tool for Predicting Fragility Fractures and Mortality in the Elderly

  • CaMos Research Group
  • Garvan Institute of Medical Research
  • Máxima Medical Center
  • McMaster University
  • Research Institute of the McGill University Health Centre
  • Maastricht University Medical Center
  • Hasselt University
  • McGill University, Montreal
  • University of Calgary
  • University of Toronto
  • Dalhousie University
  • Memorial University of Newfoundland
  • University of Minnesota
  • University of British Columbia

Research output: Contribution to journal › Article › peer-review

Abstract

Existing fracture risk assessment tools are not designed to predict fracture-associated consequences, possibly contributing to the current undermanagement of fragility fractures worldwide. We aimed to develop a risk assessment tool for predicting the conceptual risk of fragility fractures and its consequences. The study involved 8965 people aged ≥60 years from the Dubbo Osteoporosis Epidemiology Study and the Canadian Multicentre Osteoporosis Study. Incident fracture was identified from X-ray reports and questionnaires, and death was ascertained though contact with a family member or obituary review. We used a multistate model to quantify the effects of the predictors on the transition risks to an initial and subsequent incident fracture and mortality, accounting for their complex interrelationships, confounding effects, and death as a competing risk. There were 2364 initial fractures, 755 subsequent fractures, and 3300 deaths during a median follow-up of 13 years (interquartile range [IQR] 7-15). The prediction model included sex, age, bone mineral density, history of falls within 12 previous months, prior fracture after the age of 50 years, cardiovascular diseases, diabetes mellitus, chronic pulmonary diseases, hypertension, and cancer. The model accurately predicted fragility fractures up to 11 years of follow-up and post-fracture mortality up to 9 years, ranging from 7 years after hip fractures to 15 years after non-hip fractures. For example, a 70-year-old woman with a T-score of -1.5 and without other risk factors would have 10% chance of sustaining a fracture and an 8% risk of dying in 5 years. However, after an initial fracture, her risk of sustaining another fracture or dying doubles to 33%, ranging from 26% after a distal to 42% post hip fracture. A robust statistical technique was used to develop a prediction model for individualization of progression to fracture and its consequences, facilitating informed decision making about risk and thus treatment for individuals with different risk profiles. © 2020 American Society for Bone and Mineral Research.

Original languageEnglish
Pages (from-to)1923-1934
Number of pages12
JournalJournal of Bone and Mineral Research
Volume35
Issue number10
Early online date27 May 2020
DOIs
Publication statusPublished - 1 Oct 2020
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Aged
  • Bone Density
  • Canada
  • Hip Fractures/epidemiology
  • Humans
  • Osteoporosis/epidemiology
  • Osteoporotic Fractures/epidemiology
  • Risk Assessment
  • Risk Factors

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