Literature DB >> 24308408

Conventional and molecular diagnostic strategies for prosthetic joint infections.

Jaime Esteban1, Luisa Sorlí, Eduard Alentorn-Geli, Lluís Puig, Juan P Horcajada.   

Abstract

An accurate diagnosis of prosthetic joint infection (PJI) is the mainstay for an optimized clinical management. This review analyzes different diagnostic strategies of PJI, with special emphasis on molecular diagnostic tools and their current and future applications. Until now, the culture of periprosthetic tissues has been considered the gold standard for the diagnosis of PJI. However, sonication of the implant increases the sensitivity of those cultures and is being increasingly adopted by many centers. Molecular diagnostic methods compared with intraoperative tissue culture, especially if combined with sonication, have a higher sensitivity, a faster turnaround time and are not influenced by previous antimicrobial therapy. However, they still lack a system for detection of antimicrobial susceptibility, which is crucial for an optimized and less toxic therapy of PJI. More studies are needed to assess the clinical value of these methods and their cost-effectiveness.

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Year:  2013        PMID: 24308408     DOI: 10.1586/14737159.2014.861327

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  9 in total

1.  Evaluation of the use of sonication of retrieved implants for the diagnosis of prosthetic joint infection in a routine setting.

Authors:  Laura Prieto-Borja; Álvaro Auñón; Antonio Blanco; Ricardo Fernández-Roblas; Ignacio Gadea; Joaquín García-Cañete; Raúl Parrón; Jaime Esteban
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2017-12-21       Impact factor: 3.267

Review 2.  [Microbiological diagnosis of periprosthetic joint infections].

Authors:  T Holzmann; W Schneider-Brachert
Journal:  Orthopade       Date:  2015-05       Impact factor: 1.087

3.  Detection of Polyclonality among Clinical Isolates from Prosthetic Joint Infections.

Authors:  Marta De-la-Fuente; Marta Martinez-Perez; Iris Gonzalez-Pallares; Jaime Esteban
Journal:  J Clin Microbiol       Date:  2015-09-16       Impact factor: 5.948

4.  Investigation of neutrophilic peptides in periprosthetic tissue by matrix-assisted laser desorption ionisation time-of-flight imaging mass spectrometry.

Authors:  Sascha Gravius; Thomas M Randau; Rita Casadonte; Mark Kriegsmann; Max J Friedrich; Jörg Kriegsmann
Journal:  Int Orthop       Date:  2014-10-03       Impact factor: 3.075

5.  Diagnosis of spacer-associated infection using quantitative cultures from sonicated antibiotics-loaded spacers: implications for the clinical outcome.

Authors:  J Esteban; I Gadea; C Pérez-Jorge; E Sandoval; J García-Cañete; R Fernandez-Roblas; A Blanco; L Prieto-Borja; J Cordero-Ampuero
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-11-26       Impact factor: 3.267

Review 6.  Biofilms in periprosthetic orthopedic infections.

Authors:  Stephen J McConoughey; Rob Howlin; Jeff F Granger; Maurice M Manring; Jason H Calhoun; Mark Shirtliff; Sandeep Kathju; Paul Stoodley
Journal:  Future Microbiol       Date:  2014       Impact factor: 3.165

7.  Efficacy of Single-stage Revision with Aggressive Debridement Using Intra-articular Antibiotics in the Treatment of Infected Joint Prosthesis.

Authors:  Suresh J Antony; Richard S Westbrook; John S Jackson; Jacob S Heydemann; Jenny L Nelson
Journal:  Infect Dis (Auckl)       Date:  2015-07-30

8.  Rapid detection of periprosthetic joint infection using a combination of 16s rDNA polymerase chain reaction and lateral flow immunoassay: A Pilot Study.

Authors:  V Janz; J Schoon; C Morgenstern; B Preininger; S Reinke; G Duda; A Breitbach; C F Perka; S Geissler
Journal:  Bone Joint Res       Date:  2018-01       Impact factor: 5.853

9.  Usefulness of a Multiplex PCR Assay for the Diagnosis of Prosthetic Joint Infections in the Routine Setting.

Authors:  Álvaro Auñón; Ismael Coifman; Antonio Blanco; Joaquín García Cañete; Raúl Parrón-Cambero; Jaime Esteban
Journal:  Orthop Surg       Date:  2022-01-02       Impact factor: 2.071

  9 in total

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