Marra Alexandre R, Lopes Gabriel O V, Pardo Isabele, Hsieh Mariana Kim, Kobayashi Takaaki, Marra Pedro S, Marschall Jonas, Pinho João Renato Rebello, Amgarten Deyvid Emanuel, de Mello Malta Fernanda, Dos Santos Nathalia Villa, Edmond Michael B
Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil; Department of Internal Medicine, University of Iowa Carver College of Medicine, C51 GH - 200 Hawkins Drive, Iowa City, IA 52242, United States.
Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
Diagn Microbiol Infect Dis. 2024 Oct;110(2):116465. doi: 10.1016/j.diagmicrobio.2024.116465. Epub 2024 Jul 23.
Metagenomic Next-Generation Sequencing (mNGS) holds promise in diagnosing fever of unknown origin (FUO) by detecting diverse pathogens. We systematically reviewed the literature to evaluate mNGS's accuracy, clinical efficacy, and limitations in FUO diagnosis. Nine studies revealed mNGS's positivity rate ranging from 66.7% to 93.5% for bacterial bloodstream infections and systemic infections. Meta-analysis of three studies involving 857 patients, including 354 with FUO, showed a sensitivity of 0.91 (95% CI: 0.87-0.93) and specificity of 0.64 (95% CI: 0.58-0.70). Despite lower specificity, mNGS demonstrated a higher Diagnostic Odds Ratio (DOR) of 17.0 (95% CI: 4.5-63.4) compared to conventional microbiological tests (CMTs) at 4.7 (95% CI: 2.9-7.6). While mNGS offers high sensitivity but low specificity in identifying causative pathogens for FUO, its superior DOR suggests potential for more accurate diagnoses and targeted interventions. Further research is warranted to optimize its clinical application in FUO management.
宏基因组下一代测序(mNGS)在通过检测多种病原体诊断不明原因发热(FUO)方面具有前景。我们系统地回顾了文献,以评估mNGS在FUO诊断中的准确性、临床疗效和局限性。九项研究显示,mNGS对细菌性血流感染和全身感染的阳性率在66.7%至93.5%之间。对三项涉及857名患者(包括354名FUO患者)的研究进行的荟萃分析显示,敏感性为0.91(95%CI:0.87-0.93),特异性为0.64(95%CI:0.58-0.70)。尽管特异性较低,但与传统微生物检测(CMT)的诊断比值比(DOR)为4.7(95%CI:2.9-7.6)相比,mNGS的DOR更高,为17.0(95%CI:4.5-63.4)。虽然mNGS在识别FUO的致病病原体方面具有高敏感性但低特异性,但其优越的DOR表明在进行更准确诊断和靶向干预方面具有潜力。有必要进行进一步研究以优化其在FUO管理中的临床应用。