Literature DB >> 33706724

Operatively treated ankle fractures in Switzerland, 2002-2012: epidemiology and associations between baseline characteristics and fracture types.

Diogo Vieira Cardoso1, Victor Dubois-Ferrière2, Axel Gamulin2, Christophe Baréa2, Pablo Rodriguez2, Didier Hannouche2, Anne Lübbeke2.   

Abstract

BACKGROUND: Ankle fractures are common, and their incidence has been increasing. Previous epidemiological studies have been conducted in the US, Scandinavia, and Scotland. Our objectives were to provide a current epidemiological overview of operatively treated ankle fractures and to evaluate the influence of age, sex, lifestyle factors, and comorbidities on fracture types.
METHODS: We performed a population-based epidemiological study of all ankle fractures treated operatively in a 10- year period from 2002 to 2012.
RESULTS: Two thousand forty-five ankle fractures were operated upon. Men and women differed significantly in age (median 41 vs. 57 years old), obesity (16% vs. 23%), diabetes (5% vs. 10%), smoking (45% vs. 24%), and accident type (daily activities 48% vs. 79%, transportation 24% vs. 9%, sports 21% vs. 8%) respectively. Overall, there were 2% Weber A, 77% Weber B, and 21% Weber C fractures; 54% were uni-, 25% bi-, and 21% trimalleolar; 7.5% of all fractures were open. Weber C fractures were much more frequent among men and with higher BMI (lowest vs. highest category: 14% vs. 32%), but slightly less frequent with older age and among current smokers. Trimalleolar fractures were twice as frequent in women and increased with age.
CONCLUSION: Men and women differed substantially in age, lifestyle factors, comorbidities, accident type, and type of ankle fracture. Male sex and higher BMI were more frequently associated with Weber C fractures, whereas female sex and older age were associated with trimalleolar fracture. The risk for severe fracture increased linearly with the degree of obesity.

Entities:  

Keywords:  Ankle fractures,malleolar fractures; Body mass index; Broos and Bisschop’s; Danis-weber; Obesity

Mesh:

Year:  2021        PMID: 33706724      PMCID: PMC7953683          DOI: 10.1186/s12891-021-04144-5

Source DB:  PubMed          Journal:  BMC Musculoskelet Disord        ISSN: 1471-2474            Impact factor:   2.362


  20 in total

1.  [Possible factors for ankle fractures].

Authors:  Dejan Tabaković; Radovan Manojlović; Marko Kadija; Mihailo Ille; Goran Turković; Zoran Vukasinović
Journal:  Vojnosanit Pregl       Date:  2010-03       Impact factor: 0.168

2.  Epidemiology of foot and ankle fractures in the United States: an analysis of the National Trauma Data Bank (2007 to 2011).

Authors:  Naohiro Shibuya; Matthew L Davis; Daniel C Jupiter
Journal:  J Foot Ankle Surg       Date:  2014-04-29       Impact factor: 1.286

3.  Association between ankle fractures and obesity.

Authors:  Christy M King; Graham A Hamilton; Mathew Cobb; Diane Carpenter; Lawrence A Ford
Journal:  J Foot Ankle Surg       Date:  2012-07-11       Impact factor: 1.286

Review 4.  Epidemiology, etiology, and diagnosis of osteoporosis.

Authors:  Nancy E Lane
Journal:  Am J Obstet Gynecol       Date:  2006-02       Impact factor: 8.661

5.  Epidemiology of ankle fractures. A prospective population-based study of 212 cases in Aalborg, Denmark.

Authors:  S L Jensen; B K Andresen; S Mencke; P T Nielsen
Journal:  Acta Orthop Scand       Date:  1998-02

6.  Epidemiology, management, and outcome of sport-related ankle fractures in a standard UK population.

Authors:  Greg A J Robertson; Alexander M Wood; Stuart A Aitken; Charles Court Brown
Journal:  Foot Ankle Int       Date:  2014-08-04       Impact factor: 2.827

7.  Ankle fractures in the elderly: initial and long-term outcomes.

Authors:  Sarah A Anderson; Xinning Li; Patricia Franklin; John J Wixted
Journal:  Foot Ankle Int       Date:  2008-12       Impact factor: 2.827

8.  Correlation of AO and Lauge-Hansen classification systems for ankle fractures to the mechanism of injury.

Authors:  Edward K Rodriguez; John Y Kwon; Lindsay M Herder; Paul T Appleton
Journal:  Foot Ankle Int       Date:  2013-05-31       Impact factor: 2.827

9.  Epidemiology of adult ankle fractures in Sweden between 1987 and 2004: a population-based study of 91,410 Swedish inpatients.

Authors:  Charlotte K Thur; Gustaf Edgren; Karl-Åke Jansson; Per Wretenberg
Journal:  Acta Orthop       Date:  2012-03-08       Impact factor: 3.717

Review 10.  Fracture risk in patients with type 2 diabetes mellitus and possible risk factors: a systematic review and meta-analysis.

Authors:  Ardeshir Moayeri; Mahmoud Mohamadpour; Seyedeh Fatemeh Mousavi; Ehsan Shirzadpour; Safoura Mohamadpour; Mansour Amraei
Journal:  Ther Clin Risk Manag       Date:  2017-04-11       Impact factor: 2.423

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  2 in total

1.  The effect of BMI on long-term outcomes after operatively treated ankle fractures: a study with up to 16 years of follow-up.

Authors:  Diogo Vieira Cardoso; Joris Paccaud; Victor Dubois-Ferrière; Christophe Barea; Didier Hannouche; Andrea Veljkovic; Anne Lübbeke
Journal:  BMC Musculoskelet Disord       Date:  2022-04-04       Impact factor: 2.362

2.  Recovery and Return to Activity 1 Year After Ankle Fracture Managed With Open Reduction and Internal Fixation: A Prospective Longitudinal Cohort Study.

Authors:  Ailar Ramadi; Lauren A Beaupre; Luke Heinrichs; M Elizabeth Pedersen
Journal:  Foot Ankle Orthop       Date:  2022-04-19
  2 in total

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