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There is a high incidence of re-operations after surgery for ankle fractures. According to the Danish Fracture Database (DFDB) the re-operation rate, excluding hardware removal, is almost 10%.
We are conducting a study on the efficacy of an evidence based algorithm for the treatment of ankle fractures.
Treatment of ankle fractures is complex and includes assessment of fracture pattern, severity of soft-tissue involvement and general health- and functional status of the patients. Historically most fractures, undisplaced as well as displaced, were treated non-operatively with acceptable results but in recent years there is an increasing trend towards operative management of unstable fractures. Techniques for operative management of ankle fractures are varied and assessment of instability is mainly based on classic x-ray classification systems such as Lauge-Hansen or the AO that are difficult to reproduce[6].
We hypothesize that a standardized and evidence based approach to ankle fracture management will lead to a decrease in re-operation rate.
The aim of this study is to standardize the management of ankle fractures in our department, by introducing an algorithm based on best evidence present. We want to investigate:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Prospective Cohort | Active Comparator | The prospective cohort following introduction of the evidence based algorithm for ankle fractures. |
|
| Historical Cohort | No Intervention | Patients treated before introduction of algorithm. Matched to prospective cohort for comparison |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PRO-malleol algorithm | Procedure | An evidence based algorithm for ankle fractures |
|
| Measure | Description | Time Frame |
|---|---|---|
| Change in re-operation rate | Change in re-operation rate following introduction of PRO malleol algorithm | one year |
| Rate of surgery for isolated lateral ankle fractures | Rate of surgery for isolated lateral ankle fractures, following introduction of algorithm | one year |
| Measure | Description | Time Frame |
|---|---|---|
| SF 36 | SF 36 before fracture and at 12 months | day 0 and 12 months |
| Ollerud Molander Ankle Score | Before fracture, 6 weeks, 12 weeks and 1 year |
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Inclusion Criteria:
Exclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hvidovre University Hospital | Recruiting | Hvidovre | 2650 | Denmark |
Data will be anonymized and openly shared with any who requests it, after study publication.
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| ID | Term |
|---|---|
| D064386 | Ankle Fractures |
| D016512 | Ankle Injuries |
| ID | Term |
|---|---|
| D050723 | Fractures, Bone |
| D014947 | Wounds and Injuries |
| D007869 | Leg Injuries |
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A prospective cohort, following the introduction of an evidence based algorithm, will be compared to a matched historical cohort from the previous years.
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| Forgotten Joint Score | Before fracture, 6 weeks, 12 weeks and 1 year | Before fracture, 6 weeks, 12 weeks and 1 year |
| Rate of complications not requiring surgery | DVT, Nerve damage, | One year |