Purpose: Appropriate management of complex trauma of the upper limb (CTUL) is a significant therapeutic challenge. The main difficulty is to determine in an emergency situation when ambitious conservative surgery is legitimate and when amputation in necessary. We propose a prognostic lesion score to determine the best option in the emergency setting.
Material and methods: This study included 48 patients operated on between 1987 and 1997. These patients presented total or partial amputation (n=23), devascularising injury with continuous limb (=7), complex non-devascularising injury with continuous limb (n=18) (Gustilo IIIa and IIIb). Isolated hand trauma was excluded. Each patient was attributed retrospectively a lesion score taking into account each tissue (bone, vessels, nerves, muscles, skin). At minimum two-year follow-up, the outcome was evaluated for the amputated or non-amputated limb. For each non-amputated patient, a more precise outcome was established using the Chen classification. Operative procedures used the same protocol for all patients.
Results: Considering the functional results, the statistical analysis enabled identifying prognostic factors for amputation among the five variables studied. Analysis using a classification tree enabled development of a decisional algorithm based on the muscle, nerve and skin injuries which provided 64.7% sensitivity and 100% specificity with a 100% positive predictive value and an 83.8% negative predictive value. A multiple logistic model was used to confirm these results and led to the selection of the same variables.
Discussion: The CTUL score is easy to use and is the only one in the literature using only variables statistically proven to have significant prognostic value for CTUL. Surgical experience is however indispensable for appropriate decision making in these emergency situations. This score thus provides an important therapeutic aid useful in borderline cases where amputation is discussed.
Conclusion: A prospective study including a larger number of patients would be helpful to better detail indications and preserve the 100% specificity for an irreversible therapeutic decision.