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dc.contributor.author
Dudareva, Maria
dc.contributor.author
Hotchen, Andrew
dc.contributor.author
McNally, Martin A.
dc.contributor.author
Hartmann-Boyce, Jamie
dc.contributor.author
Scarborough, Matthew
dc.contributor.author
Collins, Gary
dc.date.accessioned
2021-07-30T07:43:13Z
dc.date.available
2021-07-18T02:37:24Z
dc.date.available
2021-07-30T07:43:13Z
dc.date.issued
2021-07-08
dc.identifier.other
10.5194/jbji-6-257-2021
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/495625
dc.identifier.doi
10.3929/ethz-b-000495625
dc.description.abstract
Background: Classification systems for orthopaedic infection include patient health status, but there is no consensus about which comorbidities affect prognosis. Modifiable factors including substance use, glycaemic control, malnutrition and obesity may predict post-operative recovery from infection. Aim: This systematic review aimed (1) to critically appraise clinical prediction models for individual prognosis following surgical treatment for orthopaedic infection where an implant is not retained; (2) to understand the usefulness of modifiable prognostic factors for predicting treatment success. Methods: EMBASE and MEDLINE databases were searched for clinical prediction and prognostic studies in adults with orthopaedic infections. Infection recurrence or re-infection after at least 6 months was the primary outcome. The estimated odds ratios for the primary outcome in participants with modifiable prognostic factors were extracted and the direction of the effect reported. Results: Thirty-five retrospective prognostic cohort studies of 92 693 patients were included, of which two reported clinical prediction models. No studies were at low risk of bias, and no externally validated prediction models were identified. Most focused on prosthetic joint infection. A positive association was reported between body mass index and infection recurrence in 19 of 22 studies, similarly in 8 of 14 studies reporting smoking history and 3 of 4 studies reporting alcohol intake. Glycaemic control and malnutrition were rarely considered. Conclusion: Modifiable aspects of patient health appear to predict outcomes after surgery for orthopaedic infection. There is a need to understand which factors may have a causal effect. Development and validation of clinical prediction models that include participant health status will facilitate treatment decisions for orthopaedic infections.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Copernicus
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.title
Systematic review of risk prediction studies in bone and joint infection: Are modifiable prognostic factors useful in predicting recurrence?
en_US
dc.type
Review Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Journal of Bone and Joint Infection
ethz.journal.volume
6
en_US
ethz.journal.issue
7
en_US
ethz.pages.start
257
en_US
ethz.pages.end
271
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2021-07-18T02:37:28Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-07-30T07:43:18Z
ethz.rosetta.lastUpdated
2021-07-30T07:43:18Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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