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Survey of shoulder arthroplasty surgeons’ methods for infection avoidance of Propionibacterium

  • Stephen Arthur Parada(corresponding author)
    ,
  • K. Aaron Shaw
    ,
  • Josef K. Eichinger
    ,
  • Monica J. Stadecker
    ,
  • Laurence D. Higgins
    ,
  • Jon J.P. Warner
*Corresponding author for this work
  • United States Army
    ,
  • Medical University of South Carolina
    ,
  • Tufts University
    ,
  • Harvard University
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

Introduction: Propionibacterium acnes infection after shoulder arthroplasty remains a source of morbidity. Determining practices amongst shoulder surgeons is the first step in developing infection-prevention best-practices. Methods: A survey was sent to a shoulder fellowship alumni group to determine their arthroplasty infection prevention methods Results: 74% completed the survey. Cefazolin (90%), vancomycin (50%) and clindamycin (18%) were the most commonly used antibiotics, 61% utilized more than one antibiotic. Most (76%) reported using an experience-based protocol learned during residency/fellowship. Discussion and conclusion: There are no clear standards for prevention of Propionibacterium acnes infections in shoulder arthroplasty. There is a general non-scientific approach to the prevention of shoulder arthroplasty infection.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 177-180 (4 pages)

Journal (Volume, Issue Number)

Journal of Orthopaedics (Volume 15, Issue 1)

Publication milestones

  • Published - 03/2018

Publication status

Published - 03/2018

Publication IDs

  • Scopus: 85041413824

Publication metrics

Metrics

SciVal
FWCI
0.90
SciVal
Author count
6
SciVal
citations
6
SciVal
Paper percentile
70
Fractional count
1
Fractional count
0.17
Fractional count
5
Fractional count
0.83
Fractional count
1
Fractional count
1
Scopus
citations

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Citation count
19
Captures
33