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ABSTRACT: Objective
The aim of this study was to develop prediction models for patients with total hip arthroplasty (THA) and total knee arthroplasty (TKA) to predict the risk for surgical complications based on personal factors, comorbidities and medication use.Design
Retrospective cohort study.Setting
Tertiary care in outpatient clinic of university medical centre.Participants
3776 patients with a primary THA or TKA between 2004 and 2018.Primary and secondary outcome measures
Multivariable logistic regression models were developed for primary outcome surgical site infection (SSI), and secondary outcomes venous thromboembolism (VTE), postoperative bleeding (POB), luxation, delirium and nerve damage (NER).Results
For SSI, age, smoking status, body mass
SUBMITTER: Sweerts L
PROVIDER: S-EPMC9413190 | biostudies-literature | 2022 Aug
REPOSITORIES: biostudies-literature