The stiff elbow: Classification and treatment algorithm

Enrico Guerra, Francois M. Kelberine, Alessandro Marinelli, Roberto Rotini, Gregory Bain

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Elbow stiffness is poorly tolerated because of the lack of compensatory motions in adjacent joints. The elbow joint is prone to stiffness following a multitude of causes. Being able to classify elbow stiffness can help in planning treatment. The cause of joint stiffness can be classified with the ISAKOS patho-anatomical classification of joint stiffness, which takes into account the articular, capsular, extra-articular, and neurologic causes of joint stiffness. This classification, identifying the pathological process present in each area, allows the surgeon to address each component and tailor the appropriate treatment. Another recently proposed classification, called STIF classification, recognizing five common disorders causing stiffness and six influencing factors, allows to define a practical treatment algorithm, to guide surgical treatment and the preferred operative approach, open or scope.
Original languageEnglish
Title of host publicationSurgical Techniques for Trauma and Sports Related Injuries of the Elbow
EditorsGregory Bain, Denise Eygendaal, Roger P. van Riet
Place of PublicationBerlin
PublisherSpringer Berlin Heidelberg
Chapter20
Pages173-180
Number of pages8
ISBN (Electronic)9783662589311
ISBN (Print)9783662589304
DOIs
Publication statusPublished - 2020

Keywords

  • Elbow stiffness
  • Elbow contracture
  • Joint stiffness
  • Classification
  • Algorithm
  • Surgical release
  • Elbow arthroplasty

Fingerprint Dive into the research topics of 'The stiff elbow: Classification and treatment algorithm'. Together they form a unique fingerprint.

Cite this