The Effectiveness of Metagenomic Next-Generation Sequencing in the Diagnosis of Prosthetic Joint Infection: A Systematic Review and Meta-Analysis

Autor: Jun Tan, Yang Liu, Sabrina Ehnert, Andreas K. Nüssler, Yang Yu, Jianzhong Xu, Tao Chen
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Druh dokumentu: article
ISSN: 2235-2988
DOI: 10.3389/fcimb.2022.875822
Popis: BackgroundA prosthetic joint infection (PJI) is a devastating complication following total joint arthroplasties with poor prognosis. Identifying an accurate and prompt diagnostic method is particularly important for PJI. Recently, the diagnostic value of metagenomic next-generation sequencing (mNGS) in detecting PJI has attracted much attention, while the evidence of its accuracy is quite limited. Thus, this study aimed to evaluate the accuracy of mNGS for the diagnosis of PJI.MethodsWe summarized published studies to identify the potential diagnostic value of mNGS for PJI patients by searching online databases using keywords such as “prosthetic joint infection”, “PJI”, and “metagenomic sequencing”. Ten of 380 studies with 955 patients in total were included. The included studies provided sufficient data for the completion of 2-by-2 tables. We calculated the sensitivity, specificity, and area under the SROC curve (AUC) to evaluate mNGS for PJI diagnosis.ResultsWe found that the pooled diagnostic sensitivity and specificity of mNGS for PJI were 0.93 (95% CI, 0.83 to 0.97) and 0.95 (95% CI, 0.92 to 0.97), respectively. Positive and negative likelihood ratios were 18.3 (95% CI, 10.9 to 30.6) and 0.07 (95% CI, 0.03 to 0.18), respectively. The area under the curve was 0.96 (95% CI, 0.93 to 0.97).ConclusionMetagenomic next-generation sequencing displays high accuracy in the diagnosis of PJI, especially for culture-negative cases.
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