Prosthetic joint infection development of an evidence-based diagnostic algorithm.

Abstract:

BACKGROUND:Increasing rates of prosthetic joint infection (PJI) have presented challenges for general practitioners, orthopedic surgeons and the health care system in the recent years. The diagnosis of PJI is complex; multiple diagnostic tools are used in the attempt to correctly diagnose PJI. Evidence-based algorithms can help to identify PJI using standardized diagnostic steps. METHODS:We reviewed relevant publications between 1990 and 2015 using a systematic literature search in MEDLINE and PUBMED. The selected search results were then classified into levels of evidence. The keywords were prosthetic joint infection, biofilm, diagnosis, sonication, antibiotic treatment, implant-associated infection, Staph. aureus, rifampicin, implant retention, pcr, maldi-tof, serology, synovial fluid, c-reactive protein level, total hip arthroplasty (THA), total knee arthroplasty (TKA) and combinations of these terms. RESULTS:From an initial 768 publications, 156 publications were stringently reviewed. Publications with class I-III recommendations (EAST) were considered. We developed an algorithm for the diagnostic approach to display the complex diagnosis of PJI in a clear and logically structured process according to ISO 5807. CONCLUSIONS:The evidence-based standardized algorithm combines modern clinical requirements and evidence-based treatment principles. The algorithm provides a detailed transparent standard operating procedure (SOP) for diagnosing PJI. Thus, consistently high, examiner-independent process quality is assured to meet the demands of modern quality management in PJI diagnosis.

journal_name

Eur J Med Res

authors

Mühlhofer HM,Pohlig F,Kanz KG,Lenze U,Lenze F,Toepfer A,Kelch S,Harrasser N,von Eisenhart-Rothe R,Schauwecker J

doi

10.1186/s40001-017-0245-1

subject

Has Abstract

pub_date

2017-03-09 00:00:00

pages

8

issue

1

eissn

0949-2321

issn

2047-783X

pii

10.1186/s40001-017-0245-1

journal_volume

22

pub_type

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