Lai Lan Min, Chen Qing-Gen, Liu Yang, Zhao Rui, Cao Mei Ling, Yuan Lei
Department of Clinical laboratory, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, No.17, YongWaiZheng Street, Nanchang, 330006, China.
Sci Rep. 2025 Jan 14;15(1):1963. doi: 10.1038/s41598-025-86295-2.
Fever of unknown origin (FUO) caused by infection is a disease state characterized by complex pathogens and remains a diagnostic dilemma. Metagenomic next-generation sequencing (mNGS) technology is a promising diagnostic tool for identifying pathogenic microbes of FUO caused by infection. Little is known about the clinical impact of mNGS in the etiological diagnosis of FUO. This study focuses on the value of mNGS in the etiologic diagnosis of FUO by diagnostic performance, further clarifying the value of mNGS in clinical management. In a single-centre retrospective cohort study, 263 FUO patients who underwent both mNGS and culture at the First Affiliated Hospital of Nanchang University were enrolled from December 2020 to February 2023. The sensitivity and specificity of culture and mNGS were analyzed based on the final clinical diagnosis as the gold standard to assess the diagnostic value of mNGS in FUO cases. Among the 263 patients, 69.96%(184/263) cases were diagnosed as infectious diseases, of which lower respiratory tract infections were the most common, accounting for 53.26%(98/184). 30.04%(79/263) cases had a diagnosis of non-infectious disease. From these cases, mNGS identified 150 true-positive cases, 21 false-positive cases, 58 true-negative cases, and 34 false-negative cases. The sensitivity of mNGS in infection diagnosis was much higher than that of culture [81.52%(150/184) vs. 47.28%(87/184)], but the specificity was the opposite[73.42%(58/79) vs. 84.81%(67/79)]. mNGS had a receiver operating characteristic (ROC) curve of 0.775 for infectious disease, which was significantly higher than that of culture (0.661, P < 0.05). mNGS detection revealed that bacteria were the most commonly identified potential pathogens. The top causative pathogens identified were Acinetobacter baumannii. Of the 263 patients with FUO, clinical management of 48.67% (128/263) patients was positively affected by mNGS, and 51.33% (135/263) patients were not affected by mNGS(P = 0.1074). To sum up, infectious diseases are the principal cause of FUO. mNGS could significantly improve the detected pathogen spectrum of FUO caused by infection. However, the FUO disease spectrum is relatively broad, including a large number of non-infectious diseases. Therefore, Further investigation is warranted into the specific clinical scenarios for which mNGS may offer the greatest clinical diagnostic value.
由感染引起的不明原因发热(FUO)是一种病原体复杂的疾病状态,仍然是一个诊断难题。宏基因组下一代测序(mNGS)技术是一种很有前景的诊断工具,可用于识别由感染引起的FUO的致病微生物。关于mNGS在FUO病因诊断中的临床影响知之甚少。本研究通过诊断性能关注mNGS在FUO病因诊断中的价值,进一步阐明mNGS在临床管理中的价值。在一项单中心回顾性队列研究中,2020年12月至2023年2月期间,南昌大学第一附属医院收治的263例接受了mNGS和培养的FUO患者被纳入研究。以最终临床诊断为金标准,分析培养和mNGS的敏感性和特异性,以评估mNGS在FUO病例中的诊断价值。在263例患者中,69.96%(184/263)的病例被诊断为传染病,其中下呼吸道感染最为常见,占53.26%(98/184)。30.04%(79/263)的病例被诊断为非传染病。在这些病例中,mNGS识别出150例假阳性病例、21例假阴性病例、58例真阴性病例和34例假阴性病例。mNGS在感染诊断中的敏感性远高于培养[81.52%(150/184)对47.28%(87/184)],但特异性则相反[73.42%(58/79)对84.81%(67/79)]。mNGS对传染病的受试者操作特征(ROC)曲线为0.775,显著高于培养(0.661,P<0.05)。mNGS检测显示,细菌是最常鉴定出的潜在病原体。鉴定出的主要致病病原体是鲍曼不动杆菌。在263例FUO患者中,48.67%(128/263)患者的临床管理受到mNGS的积极影响,51.33%(135/263)患者未受到mNGS的影响(P=0.1074)。综上所述,传染病是FUO的主要原因。mNGS可以显著改善由感染引起的FUO的病原体检测谱。然而,FUO疾病谱相对较广,包括大量非传染病。因此,有必要进一步研究mNGS可能提供最大临床诊断价值的具体临床场景。