Department of Economics and Business Economics

An Optimised Fracture Liaison Service Model: Maintained Diagnostic Sensitivity Despite Reduced Number of Diagnostic Tests Performed

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Patients suffering a low-energy fracture are at high risk of subsequent fractures. Investigation of all fragility fracture patients above the age of 50 years is recommended in order to prevent further fractures. The aim of this study was to investigate alternative strategies including known risk factors (age, sex, and body weight) for selecting fracture patients for osteoporosis assessment and investigate how these strategies would affect the proportion of patients with osteoporosis identified and the number of patients referred for Dual X-ray Absorptiometry (DXA) compared with the original FLS strategy. From OFELIA; a cohort study comprising 794 fragility fracture patients we included 622 patients aged 18 + years (mean age 56 ± 17) with fragility fractures. We investigated the predictive value of clinical risk factors using ROC curves and AUC analyses. The revised strategies were compared by analyzing sensitivity and specificity of different strategies based on sex, age, BMI, and bodyweight. For patients 50 + years, a strategy investigating men and women with body weight ≤ 85 kg resulted in sensitivity and specificity of 94% and 25%, respectively, reducing the number of DXAs by 21%. For patients < 50 years, the prevalence of osteoporosis was low and it was, therefore, difficult to develop an acceptable strategy. We found that the original FLS strategy can be modified to include substantially fewer patients and still only miss the osteoporosis diagnosis in a very few patients. A modified strategy would potentially save costs and concerns in many patients.

Original languageEnglish
JournalCalcified Tissue International
Volume104
Issue6
Pages (from-to)641-649
Number of pages9
ISSN0171-967X
DOIs
Publication statusPublished - Jun 2019

    Research areas

  • Body weight, Fracture, Fracture Liaison Service, Osteoporosis

See relations at Aarhus University Citationformats

ID: 145555750