Objectives. The surgical challenge with severe hindfoot injuries is one of technical feasibility, and whether the limb can be salvaged. There is an additional question of whether these injuries should be managed with limb salvage, or whether patients would achieve a greater quality of life with a transtibial amputation. This study aims to measure functional outcomes in military patients sustaining hindfoot fractures, and identify injury features associated with poor function. Methods. Follow-up was attempted in all United Kingdom military casualties sustaining hindfoot fractures. All respondents underwent short-form (SF)-12 scoring; those retaining their limb also completed the American Academy of Orthopaedic Surgeons Foot and Ankle (AAOS F&A) outcomes questionnaire. A multivariate regression analysis identified injury features associated with poor functional recovery. Results. In 12 years of conflict, 114 patients sustained 134 fractures. Follow-up consisted of 90 fractures (90/134, 67%), at a median of five years (interquartile range (IQR) 52 to 80 months). The median Short-Form 12 physical component score (PCS) of 62 individuals retaining their limb was 45 (IQR 36 to 53), significantly lower than the median of 51 (IQR 46 to 54) in patients who underwent delayed amputation after attempted reconstruction (p = 0.0351). Regression analysis identified three variables associated with a poor F&A score: negative Bohler’s angle on initial radiograph; coexisting talus and
Identifying predictors of compartment syndrome in the foot after
a fracture of the calcaneus may lead to earlier diagnosis and treatment.
The aim of our study was to identify any such predictors. We retrospectively reviewed 303 patients (313 fractures) with
a fracture of the calcaneus who presented to us between October
2008 and September 2016. The presence of compartment syndrome and
potential predictors were identified by reviewing their medical
records. Potential predictors included age, gender, concomitant
foot injury, mechanism of injury, fracture classification, time
from injury to admission, underlying illness, use of anticoagulant/antiplatelet
agents, smoking status and occupation. Associations with predictors
were analyzed using logistic regression analysis.Aims
Patients and Methods