Literature DB >> 24827968

Lipopolysaccharide-binding protein: a valuable biomarker in the differentiation between periprosthetic joint infection and aseptic loosening?

Max J Friedrich1, Thomas M Randau, Matthias D Wimmer, Ben Reichert, Dominik Kuberra, Birgit Stoffel-Wagner, Dieter C Wirtz, Sascha Gravius.   

Abstract

PURPOSE: The pre-operative differentiation between periprosthetic joint infection (PJI) and aseptic loosening after total hip (THA) or knee (TKA) arthroplasty is essential for successful therapy and relies in part on the use of molecular markers. The objective of this study was to assess serum levels of lipopolysaccharide-binding protein (LBP) as a diagnostic tool for PJI and to compare its accuracy with standard tests.
METHODS: One hundred and twenty patients presenting with a painful TKA or TKA with indication for surgical revision were included in this prospective, controlled, clinical trial at a single centre. Pre-operative blood and serum samples were collected and analysed for white blood cell (WBC) count, C-reactive protein (CRP) and LBP. The definite diagnosis of periprosthetic joint infection was determined on the basis of clinical, microbiological and histopathological examination.
RESULTS: LBP showed significantly higher values in PJI compared with aseptic loosening (p < 0.001) and control (p < 0.001), with a specificity of 66% and a sensitivity of 71% at a cutoff value of >7 ng/ml. In combination with CRP, the positive predictive value for PJI was at 0.67; negative predictive value with both negative was at 0.77. DISCUSSION: Patients with PJI have elevated serum levels of LBP when compared with patients with aseptic loosening. The use of LBP in serum appears not to be a more accurate marker than CRP level in serum for detecting PJI. On the basis of these results, we cannot recommend the sole use of LBP for differentiating PJI and aseptic loosening following THA and TKA.

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Year:  2014        PMID: 24827968     DOI: 10.1007/s00264-014-2351-9

Source DB:  PubMed          Journal:  Int Orthop        ISSN: 0341-2695            Impact factor:   3.075


  37 in total

Review 1.  Value of preoperative investigations in diagnosing prosthetic joint infection: retrospective cohort study and literature review.

Authors:  Louis Bernard; Anne Lübbeke; Richard Stern; Jean Pierre Bru; Jean Marc Feron; Dominique Peyramond; Philippe Denormandie; Cedric Arvieux; Catherine Chirouze; Christian Perronne; Pierre Hoffmeyer
Journal:  Scand J Infect Dis       Date:  2004

Review 2.  Inflammatory blood laboratory levels as markers of prosthetic joint infection: a systematic review and meta-analysis.

Authors:  Elie Berbari; Tad Mabry; Geoffrey Tsaras; Mark Spangehl; Pat J Erwin; Mohammad Hassan Murad; James Steckelberg; Douglas Osmon
Journal:  J Bone Joint Surg Am       Date:  2010-09-01       Impact factor: 5.284

3.  Periprosthetic infection: what are the diagnostic challenges?

Authors:  Javad Parvizi; Elie Ghanem; Sarah Menashe; Robert L Barrack; Thomas W Bauer
Journal:  J Bone Joint Surg Am       Date:  2006-12       Impact factor: 5.284

4.  [Improving the diagnosis of septic arthritis by use of a pediatric blood culture system].

Authors:  S Weiss; H Geiss; M Kommerell; H-G Simank; L Bernd; P Henle
Journal:  Orthopade       Date:  2006-04       Impact factor: 1.087

5.  Evaluation of an interdisciplinary therapy algorithm in patients with prosthetic joint infections.

Authors:  Matthias D Wimmer; Thomas M Randau; Sabine Petersdorf; Geert I Pagenstert; Markus Weißkopf; Dieter C Wirtz; Sascha Gravius
Journal:  Int Orthop       Date:  2013-07-13       Impact factor: 3.075

6.  Synovial fluid biomarkers for periprosthetic infection.

Authors:  Carl Deirmengian; Nadim Hallab; Abdul Tarabishy; Craig Della Valle; Joshua J Jacobs; Jess Lonner; Robert E Booth
Journal:  Clin Orthop Relat Res       Date:  2010-08       Impact factor: 4.176

7.  C-reactive protein, erythrocyte sedimentation rate and orthopedic implant infection.

Authors:  Kerryl E Piper; Marta Fernandez-Sampedro; Kathryn E Steckelberg; Jayawant N Mandrekar; Melissa J Karau; James M Steckelberg; Elie F Berbari; Douglas R Osmon; Arlen D Hanssen; David G Lewallen; Robert H Cofield; John W Sperling; Joaquin Sanchez-Sotelo; Paul M Huddleston; Mark B Dekutoski; Michael Yaszemski; Bradford Currier; Robin Patel
Journal:  PLoS One       Date:  2010-02-22       Impact factor: 3.240

8.  Rapid and sensitive detection of methicillin-resistant Staphylococcus periprosthetic infections using real-time polymerase chain reaction.

Authors:  Naomi Kobayashi; Yutaka Inaba; Hyonmin Choe; Naoyuki Iwamoto; Takashi Ishida; Yohei Yukizawa; Chie Aoki; Hiroyuki Ike; Tomoyuki Saito
Journal:  Diagn Microbiol Infect Dis       Date:  2009-04-02       Impact factor: 2.803

9.  Lipopolysaccharide-binding protein: a potential marker of febrile urinary tract infection in childhood.

Authors:  Evanthia A Tsalkidou; Emmanouel Roilides; Stefanos Gardikis; Gregory Trypsianis; Alexandros Kortsaris; Athanasios Chatzimichael; Ioannis Tentes
Journal:  Pediatr Nephrol       Date:  2013-03-06       Impact factor: 3.714

10.  Interleukin-6 in serum and in synovial fluid enhances the differentiation between periprosthetic joint infection and aseptic loosening.

Authors:  Thomas M Randau; Max J Friedrich; Matthias D Wimmer; Ben Reichert; Dominik Kuberra; Birgit Stoffel-Wagner; Andreas Limmer; Dieter C Wirtz; Sascha Gravius
Journal:  PLoS One       Date:  2014-02-21       Impact factor: 3.240

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1.  Polymicrobial infections reduce the cure rate in prosthetic joint infections: outcome analysis with two-stage exchange and follow-up ≥two years.

Authors:  Matthias D Wimmer; Max J Friedrich; Thomas M Randau; Milena M Ploeger; Jan Schmolders; Andreas A Strauss; Gunnar T R Hischebeth; Peter H Pennekamp; Patrick Vavken; Sascha Gravius
Journal:  Int Orthop       Date:  2015-07-17       Impact factor: 3.075

2.  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
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Review 3.  The Expanding Role of Biomarkers in Diagnosing Infection in Total Joint Arthroplasty: A Review of Current Literature.

Authors:  Ardalan Sayan; Adam Kopiec; Alisina Shahi; Madhav Chowdhry; Matthew Bullock; Ali Oliashirazi
Journal:  Arch Bone Jt Surg       Date:  2021-01

4.  Identification of the same species in at least two intra-operative samples for prosthetic joint infection diagnostics yields the best results with broad-range polymerase chain reaction.

Authors:  Mitja Rak; Darja Barlič-Maganja; Martina Kavčič; Rihard Trebše; Andrej Cőr
Journal:  Int Orthop       Date:  2014-10-19       Impact factor: 3.075

5.  Human transcriptomic response to periprosthetic joint infection.

Authors:  Thao L Masters; Aditya V Bhagwate; Mrunal K Dehankar; Kerryl E Greenwood-Quaintance; Matthew P Abdel; Jay N Mandrekar; Robin Patel
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6.  RANK-ligand and osteoprotegerin as biomarkers in the differentiation between periprosthetic joint infection and aseptic prosthesis loosening.

Authors:  Max J Friedrich; Matthias D Wimmer; Jan Schmolders; Andreas C Strauss; Milena M Ploeger; Hendrik Kohlhof; Dieter C Wirtz; Sascha Gravius; Thomas M Randau
Journal:  World J Orthop       Date:  2017-04-18

7.  Serum biomarkers in periprosthetic joint infections.

Authors:  A Saleh; J George; M Faour; A K Klika; C A Higuera
Journal:  Bone Joint Res       Date:  2018-01       Impact factor: 5.853

Review 8.  Identification of periprosthetic joint infection after total hip arthroplasty.

Authors:  Kyung-Jae Lee; Stuart B Goodman
Journal:  J Orthop Translat       Date:  2014-11-12       Impact factor: 5.191

9.  The serum level of D-Dimer is not suitable for distinguishing between prosthetic joint infection and aseptic loosening.

Authors:  Jincheng Huang; Yongchao Zhang; Zhen Wang; Yonghui Dong; Yongqiang Zhao; Jia Zheng; Hongkai Lian; Yi Jin
Journal:  J Orthop Surg Res       Date:  2019-11-29       Impact factor: 2.359

10.  Neutrophil to lymphocyte ratio as a predictor for diagnosis of early Periprosthetic joint infection.

Authors:  Bao-Zhan Yu; Jun Fu; Wei Chai; Li-Bo Hao; Ji-Ying Chen
Journal:  BMC Musculoskelet Disord       Date:  2020-10-27       Impact factor: 2.362

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