Supracondylar Humerus Fractures: Classification Based Treatment Algorithms

Supracondylar humerus fractures are the most common fractures around the elbow in children between 4 and 10 years of age. The treatment of supracondylar humerus fractures can vary from conservative treatment to operative treatment depending on the fracture type. All around the world, the most common...

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Veröffentlicht in:Indian journal of orthopaedics 2021-02, Vol.55 (1), p.68-80
Hauptverfasser: Shah, Mudit, Agashe, Mandar Vikas
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description Supracondylar humerus fractures are the most common fractures around the elbow in children between 4 and 10 years of age. The treatment of supracondylar humerus fractures can vary from conservative treatment to operative treatment depending on the fracture type. All around the world, the most commonly used classification system is the Wilkins-modified Gartland classification of supracondylar humerus fractures. Currently, the decision to operate or conserve the fracture is taken on basis of this classification system. Non-operative treatment for type I fractures and operative treatment for type III fractures have been well-established in literature. The management of type II supracondylar humerus fracture creates confusion in the minds of numerous orthopaedic surgeons around the world. We have tried addressing this using a classification-based treatment algorithm. Other classification systems like the AO classification, Lagrange and Rigault classification and Bahk classification with special reference to special fracture patterns that require attention and pre-op planning have also been mentioned. It is important to understand that operative management of each supracondylar humerus fracture is unique as regards fixation method and it is important to consider the fracture pattern before internal fixation.
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subjects Conservative Orthopedics
Medicine
Medicine & Public Health
Orthopedics
Review
Review Article
Surgical Orthopedics
title Supracondylar Humerus Fractures: Classification Based Treatment Algorithms
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