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A Modern Approach to Biofilm-Related Orthopaedic Implant Infections

Overview of attention for book
Attention for Chapter 155: Prosthetic Joint Infections and Cost Analysis?
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Chapter title
Prosthetic Joint Infections and Cost Analysis?
Chapter number 155
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_2016_155
Pubmed ID
Book ISBNs
978-3-31-952273-9, 978-3-31-952274-6
Authors

F. S. Haddad, A. Ngu, J. J. Negus

Abstract

Prosthetic joint infection is a devastating complication of arthroplasty surgery that can lead to debilitating morbidity for the patient and significant expense for the healthcare system. With the continual rise of arthroplasty cases worldwide every year, the revision load for infection is becoming a greater financial burden on healthcare budgets. Prevention of infection has to be the key to reducing this burden. For treatment, it is critical for us to collect quality data that can guide future management strategies to minimise healthcare costs and morbidity / mortality for patients. There has been a management shift in many countries to a less expensive 1-stage strategy and in selective cases to the use of debridement, antibiotics and implant retention. These appear very attractive options on many levels, not least cost. However, with a consensus on the definition of joint infection only clarified in 2011, there is still the need for high quality cost analysis data to be collected on how the use of these different methods could impact the healthcare expenditure of countries around the world. With a projected spend on revision for infection at US$1.62 billion in the US alone, this data is vital and urgently needed.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 19%
Researcher 4 15%
Student > Bachelor 3 12%
Professor > Associate Professor 3 12%
Student > Ph. D. Student 3 12%
Other 4 15%
Unknown 4 15%
Readers by discipline Count As %
Medicine and Dentistry 14 54%
Nursing and Health Professions 1 4%
Mathematics 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Immunology and Microbiology 1 4%
Other 3 12%
Unknown 5 19%