A Proposed Algorithm to Diagnose and Treat Lower Extremity Hematomas

Abstract

Background: Pretibial injury is common. Although the mechanism of injury may be minor, in a specific patient population, misdiagnosis and delay in appropriate treatment can lead to dire consequences. The ability to identify and properly treat these patients early has the potential to reduce the need for surgical intervention, hospitalization, and prolonged care.

Methods: A literature review was performed to develop the Lower Extremity Hematoma Algorithm (LEHA) to aid in identifying and managing these injuries in the patient population at greatest risk.

Results: A case example is provided to demonstrate how implementation of the LEHA may have led to early diagnosis and treatment, avoiding expensive advanced and prolonged care.

Conclusion: Implementation of the LEHA may expedite the identification of patients at risk for deep dissecting hematomas, enabling faster implementation of appropriate treatment and thereby helping to contain health care costs through avoiding surgical intervention.