Evaluation of infections in orthopedic patients using next-generation sequencing

Ogawa, Shinya; Chikumi, Hiroki; Tanishima, Shinji; Hayashi, Ikuta; Mihara, Tokumitsu; Nagashima, Hideki

doi:10.1016/j.jiac.2021.07.019

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…Conventional culture tests are used to diagnose infections; however, they are limited by low sensitivity in detecting the causative organisms. Advancements in diagnostic technology offering enhanced sensitivity, e.g., next-generation sequencing, will likely lead to more comprehensive analysis and detailed insights into the infectious organisms in patients’ samples [ 30 ].…”

Section: Orthopaedic Device-related Infection (Odi)mentioning

confidence: 99%

Strategies to Mitigate and Treat Orthopaedic Device-Associated Infections

et al. 2022

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Orthopaedic device implants play a crucial role in restoring functionality to patients suffering from debilitating musculoskeletal diseases or to those who have experienced traumatic injury. However, the surgical implantation of these devices carries a risk of infection, which represents a significant burden for patients and healthcare providers. This review delineates the pathogenesis of orthopaedic implant infections and the challenges that arise due to biofilm formation and the implications for treatment. It focuses on research advancements in the development of next-generation orthopaedic medical devices to mitigate against implant-related infections. Key considerations impacting the development of devices, which must often perform multiple biological and mechanical roles, are delineated. We review technologies designed to exert spatial and temporal control over antimicrobial presentation and the use of antimicrobial surfaces with intrinsic antibacterial activity. A range of measures to control bio-interfacial interactions including approaches that modify implant surface chemistry or topography to reduce the capacity of bacteria to colonise the surface, form biofilms and cause infections at the device interface and surrounding tissues are also reviewed.

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Section: Orthopaedic Device-related Infection (Odi)mentioning

confidence: 99%

Strategies to Mitigate and Treat Orthopaedic Device-Associated Infections

et al. 2022

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Diagnostic accuracy of metagenomic next-generation sequencing in diagnosing infectious diseases: a meta-analysis

Liu

Zhang

Dong

et al. 2022

Sci Rep

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Many common pathogens are difficult or impossible to detect using conventional microbiological tests. However, the rapid and untargeted nature of metagenomic next-generation sequencing (mNGS) appears to be a promising alternative. To perform a systematic review and meta-analysis of evidence regarding the diagnostic accuracy of mNGS in patients with infectious diseases. An electronic literature search of Embase, PubMed and Scopus databases was performed. Quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Summary receiver operating characteristics (sROC) and the area under the curve (AUC) were calculated; A random-effects model was used in cases of heterogeneity. A total of 20 papers were eligible for inclusion and synthesis. The sensitivity and specificity of diagnostic mNGS were 75% and 68%, respectively. The AUC from the SROC was 85%, corresponding to excellent performance. mNGS demonstrated satisfactory diagnostic performance for infections and yielded an overall detection rate superior to conventional methods.

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Evaluation of infections in orthopedic patients using next-generation sequencing

Cited by 2 publications

References 19 publications

Strategies to Mitigate and Treat Orthopaedic Device-Associated Infections

Strategies to Mitigate and Treat Orthopaedic Device-Associated Infections

Diagnostic accuracy of metagenomic next-generation sequencing in diagnosing infectious diseases: a meta-analysis

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