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Incidence and risk factors for periprosthetic joint infection: A common data model analysis

OBJECTIVES: The aim of this study was to determine the incidence of periprosthetic joint infection (PJI) following primary total joint arthroplasty (TJA) and to investigate risk factors in a large cohort utilizing common data model (CDM). PATIENTS AND METHODS: The entire cohort of primary and revisi...

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Autores principales: Bae, Kee Jeong, Chae, Young Ju, Jung, Sung Jae, Gong, Hyun Sik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bayçınar Medical Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361118/
https://www.ncbi.nlm.nih.gov/pubmed/35852188
http://dx.doi.org/10.52312/jdrs.2022.671
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author Bae, Kee Jeong
Chae, Young Ju
Jung, Sung Jae
Gong, Hyun Sik
author_facet Bae, Kee Jeong
Chae, Young Ju
Jung, Sung Jae
Gong, Hyun Sik
author_sort Bae, Kee Jeong
collection PubMed
description OBJECTIVES: The aim of this study was to determine the incidence of periprosthetic joint infection (PJI) following primary total joint arthroplasty (TJA) and to investigate risk factors in a large cohort utilizing common data model (CDM). PATIENTS AND METHODS: The entire cohort of primary and revision hip or knee TJA between January 2003 and December 2017 was retrospectively analyzed utilizing the CDM database. We detected patients who had revision TJA as a consequence of PJI. We determined the incidence of PJI and examined risk factors, including demographic features, comorbidities, prior corticosteroid usage, and preoperative laboratory values. RESULTS: There were 34 revision TJAs as a consequence of PJI (hip, 16; knee, 18) among 12,320 primary TJAs (hip, 4,758; knee 7,562), representing 0.27% incidence of PJI (hip, 0.33%; knee 0.23%). Of the patients, 15 were males and 19 were females. The mean age at the time of primary TJA was 59.8±17.5 (range, 31 to 85) years in hip PJI patients and 71.4±7.2 (range, 56 to 80) years in knee PJI patients. Hypertension and urinary tract infection were both associated with PJI following primary hip TJA. Age between 70 and 79 years, male sex, urinary tract infection, anemia, and prior corticosteroid usage were all associated with PJI following primary knee TJA. CONCLUSION: This study indicates the viability of employing CDM to undertake research on PJI and serves as a reference for future CDM-based risk factor analysis. Preoperative screening and mitigating identified risk factors can aid in the reduction of PJI following TJA.
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spelling pubmed-93611182022-08-18 Incidence and risk factors for periprosthetic joint infection: A common data model analysis Bae, Kee Jeong Chae, Young Ju Jung, Sung Jae Gong, Hyun Sik Jt Dis Relat Surg Original Article OBJECTIVES: The aim of this study was to determine the incidence of periprosthetic joint infection (PJI) following primary total joint arthroplasty (TJA) and to investigate risk factors in a large cohort utilizing common data model (CDM). PATIENTS AND METHODS: The entire cohort of primary and revision hip or knee TJA between January 2003 and December 2017 was retrospectively analyzed utilizing the CDM database. We detected patients who had revision TJA as a consequence of PJI. We determined the incidence of PJI and examined risk factors, including demographic features, comorbidities, prior corticosteroid usage, and preoperative laboratory values. RESULTS: There were 34 revision TJAs as a consequence of PJI (hip, 16; knee, 18) among 12,320 primary TJAs (hip, 4,758; knee 7,562), representing 0.27% incidence of PJI (hip, 0.33%; knee 0.23%). Of the patients, 15 were males and 19 were females. The mean age at the time of primary TJA was 59.8±17.5 (range, 31 to 85) years in hip PJI patients and 71.4±7.2 (range, 56 to 80) years in knee PJI patients. Hypertension and urinary tract infection were both associated with PJI following primary hip TJA. Age between 70 and 79 years, male sex, urinary tract infection, anemia, and prior corticosteroid usage were all associated with PJI following primary knee TJA. CONCLUSION: This study indicates the viability of employing CDM to undertake research on PJI and serves as a reference for future CDM-based risk factor analysis. Preoperative screening and mitigating identified risk factors can aid in the reduction of PJI following TJA. Bayçınar Medical Publishing 2022-07-06 /pmc/articles/PMC9361118/ /pubmed/35852188 http://dx.doi.org/10.52312/jdrs.2022.671 Text en Copyright © 2022, Turkish Joint Diseases Foundation https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Article
Bae, Kee Jeong
Chae, Young Ju
Jung, Sung Jae
Gong, Hyun Sik
Incidence and risk factors for periprosthetic joint infection: A common data model analysis
title Incidence and risk factors for periprosthetic joint infection: A common data model analysis
title_full Incidence and risk factors for periprosthetic joint infection: A common data model analysis
title_fullStr Incidence and risk factors for periprosthetic joint infection: A common data model analysis
title_full_unstemmed Incidence and risk factors for periprosthetic joint infection: A common data model analysis
title_short Incidence and risk factors for periprosthetic joint infection: A common data model analysis
title_sort incidence and risk factors for periprosthetic joint infection: a common data model analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361118/
https://www.ncbi.nlm.nih.gov/pubmed/35852188
http://dx.doi.org/10.52312/jdrs.2022.671
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