Objectives. We wanted to investigate regional variations in the organisms
reported to be causing peri-prosthetic infections and to report
on prophylaxis regimens currently in use across England. Methods. Analysis of data routinely collected by Public Health England’s
(PHE) national surgical site infection database on elective primary
hip and knee arthroplasty procedures between April 2010 and March
2013 to investigate regional variations in causative organisms.
A separate national survey of 145 hospital Trusts (groups of hospitals
under local management) in England routinely performing primary
hip and/or knee arthroplasty was carried out by standard email questionnaire. Results. Analysis of 189 858 elective primary hip and knee arthroplasty
procedures and 1116 surgical site infections found statistically
significant variations for some causative organism between regions.
There was a 100% response rate to the prophylaxis questionnaire
that showed substantial variation between individual trust guidelines.
A number of regimens currently in use are inconsistent with the
best available evidence. Conclusions. The approach towards antibiotic prophylaxis in elective arthroplasty
nationwide reveals substantial variation without clear justification.
Only seven causative organisms are responsible for 89% of infections
affecting primary hip and knee arthroplasty, which cannot justify
such widespread variation between
The present study aimed to investigate whether patients with inflammatory bowel disease (IBD) undergoing joint arthroplasty have a higher incidence of adverse outcomes than those without IBD. A comprehensive literature search was conducted to identify eligible studies reporting postoperative outcomes in IBD patients undergoing joint arthroplasty. The primary outcomes included postoperative complications, while the secondary outcomes included unplanned readmission, length of stay (LOS), joint reoperation/implant revision, and cost of care. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a random-effects model when heterogeneity was substantial.Aims
Methods