Serum Interleukin 8 Levels Correlate With Synovial Fluid Levels in Patients With Aseptic Loosening of Hip Prosthesis

2005 ◽  
Vol 20 (8) ◽  
pp. 1049-1054 ◽  
Author(s):  
Ryuji Tanaka ◽  
Yugi Yasunaga ◽  
Takashi Hisatome ◽  
Takuma Yamasaki ◽  
Hiroshi Iwamori ◽  
...  
Keyword(s):  
Synovial Fluid ◽  
Aseptic Loosening ◽  
Hip Prosthesis ◽  
Interleukin 8 ◽  
Loosening Of Hip Prosthesis ◽  
Fluid Levels

Elevated interleukin-12 in pseudosynovial fluid in patients with aseptic loosening of hip prosthesis

2000 ◽  
Vol 5 (4) ◽  
pp. 369-373 ◽  
Author(s):  
Masayoshi Inomoto ◽  
Syunpei Miyakawa ◽  
Hajime Mishima ◽  
Naoyuki Ochiai
Keyword(s):  
Aseptic Loosening ◽  
Hip Prosthesis ◽  
Interleukin 12 ◽  
Loosening Of Hip Prosthesis

Analysis of 18F-FDG uptake patterns in PET for diagnosis of septic and aseptic loosening after total hip arthroplasty

2003 ◽  
Vol 42 (06) ◽  
pp. 234-239 ◽  
Author(s):  
T. Mumme ◽  
P. Reinartz ◽  
D. Wirtz ◽  
F. U. Niethard ◽  
U. Büll ◽  
...  
Keyword(s):  
Aseptic Loosening ◽  
Femoral Component ◽  
Hip Prosthesis ◽  
Prosthetic Infection ◽  
Clinical Value ◽  
Septic Loosening ◽  
Hip Prostheses ◽  
Fdg Uptake ◽  
Positron Emission ◽  
Painful Hip

Summary Aim: Identification of typical patterns for fluorodeoxyglucose (FDG) uptake in positron emission tomography (PET) to detect aseptic loosening of hip prosthesis (ace-tabular and/or femoral component) and prosthetic infection. Methods: 18 patients with painful hip prosthesis underwent PET using a dedicated full ring scanner after application of 200-300 MBq FDG. The interface between bone and surrounding soft tissue or bone as displayed on coronal slices was divided into 12 segments in accordance with the classifications of Delee and Gruen. FDG uptake in each of the segments was scored (0-3) by two independent observers. Intraoperative findings were regarded as the gold standard. Results: After surgical revision 14 acetabular components and 9 femoral components were found to be loose and prosthetic infection was present in 7 prostheses. Loosening of the acetabular component was correlated to enhanced uptake in the middle of the acetabular interface, while loosening of the femoral component was correlated to enhanced uptake in the proximal and middle segment of the lateral femoral interface and the proximal segment of the medial femoral interface. A similar pattern was found in prosthetic infection with high uptake along the middle portion of the lateral fe-moral interface. In 6 of 7 infected prostheses loosening of the acetabular and of the femoral component was present. Taking the typical uptake patterns as criteria for loosening and grade 3 uptake as an additional criterion for septic loosening the accuracy of PET imaging in the detection of loosening of the acetabular or the femoral component and of prosthetic infection was 72, 78 and 89%, respectively. Conclusion: This pilot study presents FDG-PET as a promising diagnostic tool for patients with painful hip prostheses. Its clinical value should be evaluated in a larger patient population.

scholarly journals Synovial Complement Factors in Patients with Periprosthetic Joint Infection after Undergoing Revision Arthroplasty of the Hip or Knee Joint

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 434
Author(s):  
Frank Sebastian Fröschen ◽  
Sophia Schell ◽  
Matthias Dominik Wimmer ◽  
Gunnar Thorben Rembert Hischebeth ◽  
Hendrik Kohlhof ◽  
...  
Keyword(s):  
Synovial Fluid ◽  
Multiple Regression ◽  
Complement System ◽  
Periprosthetic Joint Infection ◽  
Joint Infection ◽  
Expression Patterns ◽  
Factor H ◽  
Low Grade ◽  
Complement Factors ◽  
Fluid Levels

The role and diagnostic value of the synovial complement system in patients with low-grade periprosthetic joint infection (PJI) are unclear. We sought to evaluate, for the first time, the usefulness of synovial complement factors in these patients by measuring the individual synovial fluid levels of complement factors (C1q, C3b/iC3b, C4b, C5, C5a, C9, factor B, factor D, factor H, factor I, properdin, and mannose-binding lectin [MBL]). The patients (n = 74) were classified into septic (n = 28) and aseptic (n = 46). Receiver-operator characteristic curves and a multiple regression model to determine the feasibility of a combination of the tested cytokines to determine the infection status were calculated. The synovial fluid levels of C1q, C3b/C3i, C4b, C5, C5a, MBL, and properdin were significantly elevated in the PJI group. The best sensitivity and specificity was found for C1q. The multiple regression models revealed that the combination of C1q, C3b/C3i, C4b, C5, C5a, and MBL was associated with the best sensitivity (83.3%) and specificity (79.2%) for a cutoff value of 0.62 (likelihood ratio: 4.0; area under the curve: 0.853). Nevertheless, only a combined model showed acceptable results. The expression patterns of the complement factors suggested that PJI activates all three pathways of the complement system.

scholarly journals Association between synovial fluid levels of aggrecan ARGS fragments and radiographic progression in knee osteoarthritis

2010 ◽  
Vol 12 (6) ◽  
pp. R230 ◽  
Author(s):  
Staffan Larsson ◽  
Martin Englund ◽  
André Struglics ◽  
L Stefan Lohmander
Keyword(s):  
Synovial Fluid ◽  
Knee Osteoarthritis ◽  
Radiographic Progression ◽  
Fluid Levels

scholarly journals Serum and Synovial Fluid Levels of Chondroitin Sulfate in Patients with Osteoarthritis of the Knee Joint

2001 ◽  
Vol 68 (2) ◽  
pp. 165-170 ◽  
Author(s):  
Shinji Uesaka ◽  
Yoshihito Nakayama ◽  
Yasumasa Shirai ◽  
Kiyoshi Yoshihara
Keyword(s):  
Synovial Fluid ◽  
Knee Joint ◽  
Chondroitin Sulfate ◽  
Osteoarthritis Of The Knee ◽  
Fluid Levels

scholarly journals Synovial fluid interleukin-16, interleukin-18, and CRELD2 as novel biomarkers of prosthetic joint infections

2019 ◽  
Vol 8 (4) ◽  
pp. 179-188 ◽  
Author(s):  
M-F. Chen ◽  
C-H. Chang ◽  
L-Y. Yang ◽  
P-H. Hsieh ◽  
H-N. Shih ◽  
...  
Keyword(s):  
Synovial Fluid ◽  
Aseptic Loosening ◽  
Enzyme Linked Immunosorbent Assay ◽  
Interleukin 18 ◽  
Joint Infections ◽  
Prosthetic Joint ◽  
Prosthetic Joint Infections ◽  
Novel Biomarkers ◽  
Baseline Values ◽  
Potential Biomarkers

Objectives Prosthetic joint infection (PJI) diagnosis is a major challenge in orthopaedics, and no reliable parameters have been established for accurate, preoperative predictions in the differential diagnosis of aseptic loosening or PJI. This study surveyed factors in synovial fluid (SF) for improving PJI diagnosis. Methods We enrolled 48 patients (including 39 PJI and nine aseptic loosening cases) who required knee/hip revision surgery between January 2016 and December 2017. The PJI diagnosis was established according to the Musculoskeletal Infection Society (MSIS) criteria. SF was used to survey factors by protein array and enzyme-linked immunosorbent assay to compare protein expression patterns in SF among three groups (aseptic loosening and first- and second-stage surgery). We compared routine clinical test data, such as C-reactive protein level and leucocyte number, with potential biomarker data to assess the diagnostic ability for PJI within the same patient groups. Results Cut-off values of 1473 pg/ml, 359 pg/ml, and 8.45 pg/ml were established for interleukin (IL)-16, IL-18, and cysteine-rich with EGF-like domains 2 (CRELD2), respectively. Receiver operating characteristic curve analysis showed that these factors exhibited an accuracy of 1 as predictors of PJI. These factors represent potential biomarkers for decisions associated with prosthesis reimplantation based on their ability to return to baseline values following the completion of debridement. Conclusion IL-16, IL-18, and CRELD2 were found to be potential biomarkers for PJI diagnosis, with SF tests outperforming blood tests in accuracy. These factors could be useful for assessing successful debridement based on their ability to return to baseline values following the completion of debridement. Cite this article: M-F. Chen, C-H. Chang, L-Y. Yang, P-H. Hsieh, H-N. Shih, S. W. N. Ueng, Y. Chang. Synovial fluid interleukin-16, interleukin-18, and CRELD2 as novel biomarkers of prosthetic joint infections. Bone Joint Res 2019;8:179–188. DOI: 10.1302/2046-3758.84.BJR-2018-0291.R1.

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