Literature DB >> 30207518

Evaluating the microbial pattern of periprosthetic joint infections of the hip and knee.

Thomas Rosteius1, Oliver Jansen1, Tobias Fehmer2, Hinnerk Baecker1, Mustafa Citak3, Thomas Armin Schildhauer1, Jan Geßmann1.   

Abstract

PURPOSE: Periprosthetic joint infection (PJI) is a devastating complication that leads to enormous economic and health care complaints from affected patients. The aim of this study is to identify the causative pathogens responsible for PJI, evaluate temporal trends concerning the pathogen pattern and identify potential risk factors for PJI.
METHODOLOGY: This was a retrospective study analysing a total of 937 patients suffering PJI of the hip or knee joint between 2003 and 2011.
RESULTS: In total, 394 patients (42.0 %) with total knee arthroplasty (TKA), 477 patients (50.9 %) with total hip arthroplasty (THA) and 64 patients (6.8 %) receiving a dual-head prosthesis had to be hospitalised due to PJI. In two cases (0.2 %), a simultaneous infection of TKA and THA occurred. The mean age of the study cohort was 70.85±11.68 years. The mean body mass index (BMI) was 28.53±5.7. According to the Charlson comorbidity index, 2.99 % of the patients were classified as severity Grade 1, 13.98 % Grade 2, 40.02 % Grade 3 and 43.0 % Grade 4. Staphylococcus aureus (MSSA), methicillin-resistant Staphylococcus epidermidis (MRSE), methicillin-resistant Staphylococcus aureus (MRSA), coagulase-negative Staphylococcus (CoNS), Streptococcus, and Enterococcus were the pathogens mainly responsible. An increase in high-resistance pathogens, such as MRSE, extended-spectrum beta-lactamase bacteria (ESBL), ampicillin-resistant Enterococcus, Acinetobacter spp. and vancomycin-resistant Enterococcus (VRE), was found during the study period. Only MRSA showed a declining tendency in a regression model.
CONCLUSION: Patients suffering PJI present a certain risk profile with many comorbidities, e.g. high age and obesity. The observed microbiological pattern demonstrates the rise of high-resistance pathogens.

Entities:  

Keywords:  epidemiology; microbial pattern; periprosthetic joint infection; total hip arthroplasty; total knee arthroplasty

Mesh:

Substances:

Year:  2018        PMID: 30207518     DOI: 10.1099/jmm.0.000835

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  17 in total

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2.  Evaluation of the MRSA/SA ELITe MGB Assay for the Detection of Staphylococcus aureus in Bone and Joint Infections.

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Review 3.  New developments and future challenges in prevention, diagnosis, and treatment of prosthetic joint infection.

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4.  Interleukin-1β and tumor necrosis factor are essential in controlling an experimental orthopedic implant-associated infection.

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Journal:  J Orthop Res       Date:  2020-02-05       Impact factor: 3.494

5.  CCR2 contributes to host defense against Staphylococcus aureus orthopedic implant-associated infections in mice.

Authors:  Yu Wang; Dustin Dikeman; Jeffrey Zhang; Nicole Ackerman; Sophia Kim; Martin P Alphonse; Roger V Ortines; Haiyun Liu; Daniel P Joyce; Carly A Dillen; John M Thompson; Abigail A Thomas; Roger D Plaut; Lloyd S Miller; Nathan K Archer
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7.  A New Promising Anti-Infective Agent Inhibits Biofilm Growth by Targeting Simultaneously a Conserved RNA Function That Controls Multiple Genes.

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Review 8.  Challenging Methicillin Resistance Detection in Bone and Joint Infections: Focus on the MRSA/SA SSTI® Strategy.

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Journal:  Front Med (Lausanne)       Date:  2021-05-17

9.  Bacterial Profile, Multi-Drug Resistance and Seasonality Following Lower Limb Orthopaedic Surgery in Tropical and Subtropical Australian Hospitals: An Epidemiological Cohort Study.

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Journal:  Int J Environ Res Public Health       Date:  2020-01-20       Impact factor: 3.390

10.  Application of 3D Printing-Assisted Articulating Spacer in Two-Stage Revision Surgery for Periprosthetic Infection after Total Knee Arthroplasty: A Retrospective Observational Study.

Authors:  Lingtong Kong; Jiawei Mei; Wufei Ge; Xiansheng Jin; Xiaoxuan Chen; Xianzuo Zhang; Chen Zhu
Journal:  Biomed Res Int       Date:  2021-02-08       Impact factor: 3.411

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