Evidence map›Paper›PMID 37713001›Full record

ArticleEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2024

Developing an antibiogram for empiric antibiotic prescribing for adult non-spinal orthopaedic infections in a developing world setting.

Ashley Arakkal, Chad M Centner, Thomas Hilton, Marc Nortje, Michael Held, Stephen Roche, Adrian J Brink, Marc Mendelson, Maritz Laubscher

Abstract read
In one paragraph

Article in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Osteomyelitis.Nature reviews. Disease primers · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ashley ArakkalOrthopaedic Research Unit, Division of Orthopaedic Surgery, H49 OMB, Groote Schuur Hospital, University of Cape Town, Cape Town, 7925, South Africa. ashleyarakkal@gmail.com.ORCID http://orcid.org/0000-0002-0853-757X
Chad M CentnerDivision of Medical Microbiology, University of Cape Town and National Health Laboratory Service, Groote Schuur Hospital, Cape Town, South Africa.ORCID http://orcid.org/0000-0001-7289-534X
Thomas HiltonOrthopaedic Research Unit, Division of Orthopaedic Surgery, H49 OMB, Groote Schuur Hospital, University of Cape Town, Cape Town, 7925, South Africa.ORCID http://orcid.org/0000-0002-6178-5062
Marc NortjeOrthopaedic Research Unit, Division of Orthopaedic Surgery, H49 OMB, Groote Schuur Hospital, University of Cape Town, Cape Town, 7925, South Africa.ORCID http://orcid.org/0000-0002-7737-409X
Michael HeldOrthopaedic Research Unit, Division of Orthopaedic Surgery, H49 OMB, Groote Schuur Hospital, University of Cape Town, Cape Town, 7925, South Africa.ORCID http://orcid.org/0000-0002-0671-0439
Stephen RocheOrthopaedic Research Unit, Division of Orthopaedic Surgery, H49 OMB, Groote Schuur Hospital, University of Cape Town, Cape Town, 7925, South Africa.ORCID http://orcid.org/0000-0002-5695-2751
Adrian J BrinkDivision of Medical Microbiology, University of Cape Town and National Health Laboratory Service, Groote Schuur Hospital, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-5350-9690
Marc MendelsonDivision of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0001-6668-3893
Maritz LaubscherOrthopaedic Research Unit, Division of Orthopaedic Surgery, H49 OMB, Groote Schuur Hospital, University of Cape Town, Cape Town, 7925, South Africa.ORCID http://orcid.org/0000-0002-5989-8383

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEmpiric antibiotic strategies in the treatment of fracture-related infections, chronic osteomyelitis, prosthetic joint infection, and septic arthritis should be based on local microbiological antibiograms. This study aims to describe the microbiology and review the antibiogram profiles of bacterial isolates from patients undergoing surgical treatment for non-spinal orthopaedic infections, to identify the most appropriate empiric antibiotic strategy.

methodsA retrospective review was performed of all cases of non-spinal orthopaedic infections treated surgically from 1 January 2018 to 31 December 2018. The National Health Laboratory Service microbiology database was used to identify all intra-operative microbiological specimens obtained from orthopaedic patients, and data were correlated with the orthopaedic surgical database. Cases were divided into fracture-related infections, chronic osteomyelitis, prosthetic joint infection, and septic arthritis. Antibiotic susceptibility data were used to predict the efficacy of different empiric antibiotic regimens.

resultsA total of 107 cases were included in the study; 184 organisms were cultured. Overall, the most common organism cultured was Staphylococcus aureus (25%) followed by Acinetobacter baumannii (9%), Enterococcus faecalis (7%) and Enterobacter cloacae (5%). Across all categories the oral antibiotic combination with the highest effectiveness (81%) would have been a combination of co-trimoxazole, ciprofloxacin and amoxicillin. The most effective intravenous antibiotic combination would have been either piperacillin-tazobactam, amikacin and vancomycin or meropenem and vancomycin; 90% of tested isolates were susceptible to either of these combinations.

conclusionAntibiogram profiles can serve to guide to empiric antibiotic choice in the management of different categories of non-spinal orthopaedic infections.

Indexed as

Arthritis, InfectiousOrthopedicsOsteomyelitisAdultAnti-Bacterial AgentsHumansMicrobial Sensitivity TestsRetrospective StudiesVancomycinAnti-Bacterial AgentsVancomycinFractureFRIInfectionPJI

Identifiers

PMID37713001
PMCPMC10858143

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.