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Orthopaedic Proceedings
Vol. 101-B, Issue SUPP_14 | Pages 94 - 94
1 Dec 2019
Honkanen M Jämsen E Karppelin M Huttunen R Eskelinen A Syrjänen J
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Aim

The risk for developing a periprosthetic joint infection (PJI) as a consequence of bacteremia is not clear, except for Staphylococcus aureus bacteremia, and patient-related risk factors for it are not known. The aim of this study was to investigate the risk for developing a PJI during any bacteremia and to find out possible risk factors leading to it.

Method

All patients with a primary knee or hip joint replacement performed between September 2002 and December 2013 in a tertiary care hospital (n=14 378) were retrospectively followed up until December 2014. The mean follow-up time was 6.0 years (range 0–12 years). Positive blood culture results of the patients during the study period were obtained. PJIs during the study period were identified from several data sources. PJIs as a consequence of bacteremia were recorded and confirmed from patient records. Primary PJIs resulting in bacteremia were excluded. Binary logistic regression with univariate analysis was used to study potential risk factors for PJI among those with bacteremia.


Orthopaedic Proceedings
Vol. 100-B, Issue SUPP_17 | Pages 55 - 55
1 Dec 2018
Honkanen M Jämsen E Karppelin M Huttunen R Syrjänen J
Full Access

Aim

Patients use antibiotics for various reasons before elective joint replacement surgery, but it is not known how common this is. The aim of this study was to investigate patients' use of oral antibiotics before elective joint replacement surgery and how this affects the risk for periprosthetic joint infection (PJI) in a one-year follow-up.

Method

Patients with a primary hip or knee replacement performed in a tertiary care hospital between September 2002 and December 2013 were identified (23 171 joint replacements, 10 200 hips and 12 971 knees). Information on oral antibiotics purchased within 90 days before the operation was gathered from a national database. The occurrence of a PJI, identified by prospective infection surveillance, in a one-year follow-up was the primary outcome. The occurrence of any surgical site infection was analyzed as a secondary outcome. The association between antibiotic use and subsequent infection was examined using a multivariable logistic regression model that included information on the operated joint, age, gender, body mass index and patients' chronic diseases (according to medication data).