Chapter title |
The Role of Biomarkers for the Diagnosis of Implant-Related Infections in Orthopaedics and Trauma
|
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Chapter number | 11 |
Book title |
A Modern Approach to Biofilm-Related Orthopaedic Implant Infections
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/5584_2017_11 |
Pubmed ID | |
Book ISBNs |
978-3-31-952273-9, 978-3-31-952274-6
|
Authors |
Abtin Alvand, Maryam Rezapoor, Javad Parvizi, Alvand, Abtin, Rezapoor, Maryam, Parvizi, Javad |
Abstract |
Diagnosis of implant-related (periprosthetic joint) infections poses a major challenge to infection disease physicians and orthopaedic surgeons. Conventional diagnostic tests continue to suffer from issues of accuracy and feasibility. Biomarkers are used throughout medicine for diagnostic and prognostic purposes, as they are able to objectively determine the presence of a disease or a biological state. There is increasing evidence to support the measurement of specific biomarkers in serum and/or synovial fluid of patients with suspected periprosthetic joint infections. Promising serum biomarkers include interleukin (IL)-4, IL-6, tumour necrosis factor (TNF)-α, procalcitonin, soluble intercellular adhesion molecule 1 (sICAM-1), and D-dimer. In addition to c-reactive protein and leucocyte esterase, promising biomarkers that can be measured in synovial fluid include antimicrobial proteins such as human β-defensin (HBD)-2 and human β-defensin (HBD)-3, and cathelicidin LL-37, as well as several interleukins such as IL-1β, IL-6, IL-8, IL-17, TNF- α, interferon-δ, and vascular endothelial growth factor. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 5 | 14% |
Student > Doctoral Student | 4 | 11% |
Student > Postgraduate | 4 | 11% |
Other | 3 | 8% |
Student > Ph. D. Student | 3 | 8% |
Other | 7 | 19% |
Unknown | 10 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 42% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Immunology and Microbiology | 2 | 6% |
Chemical Engineering | 1 | 3% |
Other | 3 | 8% |
Unknown | 11 | 31% |