[Limb salvage and amputation after trauma : Decision criteria and management algorithm]

Area of Science:

• Orthopedics
• Trauma Surgery
• Decision Science

Background:

• Severe extremity trauma presents complex clinical decisions regarding amputation versus limb salvage.
• Multifactorial influences include anatomical, biomechanical, physiological, and psychosocial aspects.
• Previous decision-making scores have overestimated their predictive accuracy.

Purpose of the Study:

• To critically evaluate the role of existing scoring systems in amputation/limb salvage decisions.
• To develop a comprehensive algorithm to standardize and improve clinical decision-making for severe extremity trauma.
• To incorporate patient-specific factors beyond injury severity.

Main Methods:

• Review of factors influencing amputation vs. limb salvage decisions.
• Analysis of the Limb-Salvage (LEAP) study findings regarding score performance.
• Development and presentation of a four-module decision-making algorithm.

Main Results:

• Existing scoring systems demonstrated lower predictive accuracy under standardized conditions compared to initial studies.
• Lack of foot sensation is not a definitive criterion for amputation.
• Patients requiring free flaps or ankle arthrodesis have poorer outcomes than below-knee amputation.

Conclusions:

• A novel, comprehensive algorithm is presented to aid amputation or limb salvage decisions.
• The algorithm integrates injury severity, patient condition, comorbidities, compliance, and patient preference.
• This standardized approach aims to optimize clinical decision-making in severe extremity trauma.