Michael A Lane1, Neeraja Ganeshraj2, Alice Gu2, David K Warren2, Carey-Ann D Burnham3. 1. Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO; lanem@wustl.edu. 2. Division of Infectious Diseases, Washington University School of Medicine, St. Louis, MO. 3. Department of Pathology & Immunology, Washington University School of Medicine, St. Louis, MO.
Abstract
INTRODUCTION: Medical management of prosthetic joint infections (PJIs) relies on the identification of causative organisms through traditional culture-based approaches to guide therapy. However, diagnosis of many PJIs remains challenging, with many clinically apparent infections remaining culture-negative. Molecular diagnostics have the potential to increase diagnostic yield, particularly among culture-negative PJIs. METHODS: Bone, tissue, or synovial fluid from patients with clinically identified PJIs were collected for inclusion in this study. Samples were assessed with traditional cultures and classified as culture-positive or -negative after 48 h. Samples subsequently underwent a Staphylococcus aureus-/Kingella kingae-specific PCR followed by a 16s rRNA gene PCR. RESULTS: A total of 77 unique patients with clinically identified PJIs contributed a total of 89 samples for inclusion in the study. There were 54 culture-negative and 35 culture-positive samples evaluated. The sensitivity and specificity of S. aureus PCR in culture-positive samples was 57.1% (95% CI, 34.1%-78.1%) and 92.9% (95% CI, 66.1%-98.9%), respectively. Among culture-positive samples, 16s rRNA gene PCR correctly identified 3 of 21 (14.3%) samples with S. aureus and 2 of 5 (40%) samples with Streptococcus spp. All molecular tests were negative in those with clinically identified, culture-negative PJI. CONCLUSIONS: Our study suggests that these diagnostic tools have a limited role in PJI diagnosis.
INTRODUCTION: Medical management of prosthetic joint infections (PJIs) relies on the identification of causative organisms through traditional culture-based approaches to guide therapy. However, diagnosis of many PJIs remains challenging, with many clinically apparent infections remaining culture-negative. Molecular diagnostics have the potential to increase diagnostic yield, particularly among culture-negative PJIs. METHODS: Bone, tissue, or synovial fluid from patients with clinically identified PJIs were collected for inclusion in this study. Samples were assessed with traditional cultures and classified as culture-positive or -negative after 48 h. Samples subsequently underwent a Staphylococcus aureus-/Kingella kingae-specific PCR followed by a 16s rRNA gene PCR. RESULTS: A total of 77 unique patients with clinically identified PJIs contributed a total of 89 samples for inclusion in the study. There were 54 culture-negative and 35 culture-positive samples evaluated. The sensitivity and specificity of S. aureus PCR in culture-positive samples was 57.1% (95% CI, 34.1%-78.1%) and 92.9% (95% CI, 66.1%-98.9%), respectively. Among culture-positive samples, 16s rRNA gene PCR correctly identified 3 of 21 (14.3%) samples with S. aureus and 2 of 5 (40%) samples with Streptococcusspp. All molecular tests were negative in those with clinically identified, culture-negative PJI. CONCLUSIONS: Our study suggests that these diagnostic tools have a limited role in PJI diagnosis.
Authors: C J Della Valle; D M Scher; Y H Kim; C M Oxley; P Desai; J D Zuckerman; P E Di Cesare Journal: J Arthroplasty Date: 1999-06 Impact factor: 4.757
Authors: Eric Gomez; Charles Cazanave; Scott A Cunningham; Kerryl E Greenwood-Quaintance; James M Steckelberg; James R Uhl; Arlen D Hanssen; Melissa J Karau; Suzannah M Schmidt; Douglas R Osmon; Elie F Berbari; Jayawant Mandrekar; Robin Patel Journal: J Clin Microbiol Date: 2012-08-15 Impact factor: 5.948
Authors: Naomi Kobayashi; Gary W Procop; Viktor Krebs; Hideo Kobayashi; Thomas W Bauer Journal: Clin Orthop Relat Res Date: 2008-04-26 Impact factor: 4.176
Authors: Trisha N Peel; Tim Spelman; Brenda L Dylla; John G Hughes; Kerryl E Greenwood-Quaintance; Allen C Cheng; Jayawant N Mandrekar; Robin Patel Journal: J Clin Microbiol Date: 2016-12-28 Impact factor: 5.948
Authors: Charles Cazanave; Kerryl E Greenwood-Quaintance; Arlen D Hanssen; Melissa J Karau; Suzannah M Schmidt; Eric O Gomez Urena; Jayawant N Mandrekar; Douglas R Osmon; Lindsay E Lough; Bobbi S Pritt; James M Steckelberg; Robin Patel Journal: J Clin Microbiol Date: 2013-05-08 Impact factor: 5.948
Authors: Dirk Jan F Moojen; Sanne N M Spijkers; Corrie S Schot; Marc W Nijhof; H Charles Vogely; André Fleer; Abraham J Verbout; René M Castelein; Wouter J A Dhert; Leo M Schouls Journal: J Bone Joint Surg Am Date: 2007-06 Impact factor: 5.284