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Vojnosanitetski pregled 2010 Volume 67, Issue 3, Pages: 225-228
https://doi.org/10.2298/VSP1003225T
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Possible factors for ankle fractures

Tabaković Dejan (Klinički centar Srbije, Institut za ortopedsku hirurgiju i traumatologiju, Beograd)
Manojlović Radovan (Klinički centar Srbije, Institut za ortopedsku hirurgiju i traumatologiju, Beograd)
Kadija Marko (Klinički centar Srbije, Institut za ortopedsku hirurgiju i traumatologiju, Beograd)
Ille Mihailo ORCID iD icon (Klinički centar Srbije, Institut za ortopedsku hirurgiju i traumatologiju, Beograd)
Turković Goran (Vojnomedicinska Akademija, Klinika za ortopediju i traumatologiju, Beograd)
Vukašinović Zoran (Institut za ortopedsko hirurške bolesti 'Banjica', Beograd)

Background/Aim. Classification of ankle fractures is commonly used for selecting an appropriate treatment and prognosing an outcome of definite management. One of the most used classifications is the Danis-Weber classification. To the best of our knowledge, in the available literature, there are no parameters affecting specific types of ankle fractures according to the Danis-Weber classification. The aim of this study was to analyze the correlation of the following parameters: age, body weight, body mass index (BMI), height, osteoporosis, osteopenia and physical exercises with specific types of ankle fractures using the Danis-Weber classification. Methods. A total of 85 patients grouped by the Danis-Weber classification fracture types were analyzed and the significance of certain parameters for specific types of ankle fractures was established. Results. The proportion of females was significantly higher (p < 0.001) with a significantly higher age (59.9 years, SD ± 14.2) in relation to males (45.1 years, SD ± 12.8) (p < 0.0001). Type A fracture was most frequent in the younger patients (34.2 years, SD ± 8.6), and those with increased physical exercises (p = 0.020). In type B fracture, the risk factor was osteoporosis (p = 0.0180), while in type C fracture, body weight (p = 0.017) and osteoporosis (p = 0.004) were significant parameters. Conclusion. Statistical analysis using the Danis-Weber classification reveals that there are certain parameters suggesting significant risk factors for specific types of ankle fractures.

Keywords: fractures, bone, ankle, risk factors

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