Algorithm for the evaluation of the painful total shoulder arthroplasty: Searching for sepsis

Filippo Familiari, Amrut U. Borade, Alan Gonzalez-Zapata, Tina Raman, Edward G McFarland

Research output: Contribution to journalArticle

Abstract

One of the most serious complications after shoulder arthroplasty is periprosthetic joint infection. The reported incidence after primary procedures ranges from 0.7% to 4%, and the rates after revision surgery are even higher. Data on periprosthetic joint infection are derived in large part from the reported experience in managing infection at the sites of total knee and total hip arthroplasties; there is much less information available with which to guide decision making for the shoulder. This review focuses specifically on the current and future tools for diagnosing periprosthetic infections after shoulder arthroplasty.

Original languageEnglish (US)
Pages (from-to)295-304
Number of pages10
JournalSeminars in Arthroplasty
Volume25
Issue number4
DOIs
StatePublished - Dec 1 2014

Fingerprint

Arthroplasty
Sepsis
Infection
Joints
Knee Replacement Arthroplasties
Reoperation
Hip
Decision Making
Incidence

Keywords

  • Algorithm
  • Infection
  • Pain
  • Total shoulder arthroplasty

ASJC Scopus subject areas

  • Orthopedics and Sports Medicine
  • Surgery

Cite this

Algorithm for the evaluation of the painful total shoulder arthroplasty : Searching for sepsis. / Familiari, Filippo; Borade, Amrut U.; Gonzalez-Zapata, Alan; Raman, Tina; McFarland, Edward G.

In: Seminars in Arthroplasty, Vol. 25, No. 4, 01.12.2014, p. 295-304.

Research output: Contribution to journalArticle

Familiari, Filippo ; Borade, Amrut U. ; Gonzalez-Zapata, Alan ; Raman, Tina ; McFarland, Edward G. / Algorithm for the evaluation of the painful total shoulder arthroplasty : Searching for sepsis. In: Seminars in Arthroplasty. 2014 ; Vol. 25, No. 4. pp. 295-304.
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