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Periprosthetic Joint Infections (PJI): A Clinical Practice Algorithm

Authors: VOLPE, LUIGI; INDELLI, PIER FRANCESCO; LATELLA, LEONARDO; POLI, PAOLO; YAKUPOGLU, JALE; MARCUCCI, MASSIMILIANO;

Periprosthetic Joint Infections (PJI): A Clinical Practice Algorithm

Abstract

urpose: periprosthetic joint infection (PJI) accounts for 25% of failed total knee arthroplasties (TKAs) and 15% of failed total hip arthroplasties (THAs). The purpose of the present study was to design a multidi- sciplinary diagnostic algorithm to detect a PJI as cause of a painful TKA or THA. Methods: from April 2010 to October 2012, 111 patients with suspected PJI were evaluated. The study group comprised 75 females and 36 males with an ave- rage age of 71 years (range, 48 to 94 years). Eighty- four patients had a painful THA, while 27 reported a painful TKA. The stepwise diagnostic algorithm, applied in all the patients, included: measurement of serum C-reactive protein (CRP) and erythrocyte sedi- mentation rate (ESR) levels; imaging studies, inclu- ding standard radiological examination, standard tech- netium-99m-methylene diphosphonate (MDP) bone scan (if positive, confirmation by LeukoScan was obtained); and joint aspiration with analysis of syno- vial fluid

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Italy
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Periprosthetic Joint Infections (PJI): A Clinical Practice Algorithm

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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green