Identification of high-risk groups for complication after arthroplasty: predictive value of patient’s related risk factors

Autor: Martha Cecilia Castano-Betancourt, Ricardo Fruschein Annichino, Marcelo de Azevedo e Souza Munhoz, Eduardo Gomes Machado, Monica Vannucci Lipay, Evaldo Marchi
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Journal of Orthopaedic Surgery and Research, Vol 13, Iss 1, Pp 1-10 (2018)
Druh dokumentu: article
ISSN: 1749-799X
DOI: 10.1186/s13018-018-1036-2
Popis: Abstract Background Total joint arthroplasty (TJA) benefit patients with osteoarthritis (OA) and rheumatoid arthritis (RA). However, a specific approach to detect patients at higher risk of prosthetic joint infection (PJI) and mechanical complications is absent. The aim of this study is to identify groups at higher risk for infections and mechanical complications after TJA in patients with RA and OA based on their most significant predictors. Methods This is a hospital-based cohort study with 1150 recipients of TJA. Risk factors and comorbidities were assessed prior to the index surgery. Multivariate logistic and hazard regression were used to determine the relationship between risk factors and occurrence of complications after TJA. Odds ratios (OR), hazard ratios (HR), 95% confidence intervals (CI), and comparison between areas under the curve (AUC) using DeLong’s method are presented. Results Complications were more frequent in subjects with RA, use of corticosteroids, and previous comorbidities: respiratory disease, infections, diabetes, anemia, mental and musculoskeletal comorbidities than in subjects without these risk factors, and these factors were predictors of infections and mechanical complications (P
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