Comprehensive management of degloving soft tissue injuries of the extremity: A 12-year retrospective study

Degloving soft tissue injuries (DSTIs) of the extremities, which are often underestimated in terms of their severity, present significant challenges to reconstructive surgeons. We propose a comprehensive management protocol to standardize the reconstructive approach, aiming for successful treatment of these devastating injuries.

We retrospectively analyzed data from consecutive patients with extremity DSTIs over a 12-year period. Patients were categorized into three age groups (0-17, 18-65, and >65 years) to highlight the different treatment options based on age. Various surgical techniques were employed depending on the injury pattern. Treatment strategies for each patient were individualized based on age, underlying conditions, and injury type. Wound healing, complications, and functional outcomes were recorded.

Of the hospitalized patients, 20 were lost to follow-up, and 105 were included in the analysis. The mean age at the time of injury was 40 ± 44.9 years, with a mean follow-up of 30.1 ± 12.7 months. Furthermore, 19 % of patients were aged 0-17 years, 61 % were aged 18-65 years, and 20 % were aged >65 years. Treatment plans were personalized based on injury characteristics, with numerous patients being treated with a combination of multiple surgical techniques. Older patients had significantly longer wound healing times and delayed return to activities of daily living compared to the other age groups. Overall, patients were generally satisfied with their outcomes. The total complication rate was 46.7 %, with 79.5 % being categorized as major complications. Each complication was addressed with a tailored treatment plan.

The management of DSTIs should be individualized, taking into account the specific characteristics of each injury. Age and medical fitness play crucial roles in determining both the surgical approach and prognosis. An accurate initial evaluation and thorough debridement are essential for optimal outcomes.