关键词: Diagnostic value Infectious diseases Meta-analysis Metagenomic next-generation sequencing (mNGS)

Mesh : Humans High-Throughput Nucleotide Sequencing Arthritis, Infectious Immunocompromised Host Metagenome Metagenomics Sepsis Communicable Diseases / diagnosis Sensitivity and Specificity

来  源:   DOI:10.1016/j.ijid.2024.106996

Abstract:
OBJECTIVE: Early diagnosis of infectious diseases remains a challenge. This study assessed the diagnostic value of mNGS in infections and explored the effect of various factors on the accuracy of mNGS.
METHODS: An electronic article search of PubMed, Cochrane Library, and Embase was performed. A total of 85 papers were eligible for inclusion and analysis. Stata 12.0 was used for statistical calculation to evaluate the efficacy of mNGS for the diagnosis of infectious diseases.
RESULTS: The AUC of 85 studies was 0.88 (95%CI, 0.85-0.90). The AUC of the clinical comprehensive diagnosis and conventional test groups was 0.92 (95%CI, 0.89-0.94) and 0.82 (95%CI, 0.78-0.85), respectively. The results of subgroup analysis indicated that the PLR and NLR were 12.67 (95%CI, 6.01-26.70) and 0.05 (95%CI, 0.03-0.10), respectively, in arthrosis infections. The PLR was 24.41 (95%CI, 5.70-104.58) in central system infections and the NLR of immunocompromised patients was 0.08 (95%CI, 0.01-0.62).
CONCLUSIONS: mNGS demonstrated satisfactory diagnostic performance for infections, especially for bone and joint infections and central system infections. Moreover, mNGS also has a high value in the exclusion of infection in immunocompromised patients.
摘要:
目的:感染性疾病的早期诊断仍然是一个挑战。本研究评估了mNGS在感染中的诊断价值,并探讨了各种因素对mNGS准确性的影响。
方法:PubMed的电子文章搜索,科克伦图书馆,进行了Embase。共有85篇论文符合纳入和分析条件。Stata12.0用于统计计算以评估mNGS诊断感染性疾病的功效。
结果:85项研究的AUC为0.88(95CI,0.85-0.90)。临床综合诊断组和常规试验组的AUC分别为0.92(95CI,0.89-0.94)和0.82(95CI,0.78-0.85),分别。亚组分析结果表明,PLR和NLR分别为12.67(95CI,6.01-26.70)和0.05(95CI,0.03-0.10),分别,在关节病感染中。中央系统感染的PLR为24.41(95CI,5.70-104.58),免疫功能低下患者的NLR为0.08(95CI,0.01-0.62)。
结论:mNGS对感染的诊断表现令人满意,特别是骨和关节感染和中枢系统感染。此外,mNGS在免疫功能低下患者的感染排除中也具有很高的价值。
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