基因组
荟萃分析
计算生物学
系统回顾
DNA测序
生物
梅德林
医学
重症监护医学
生物信息学
遗传学
内科学
基因
生物化学
作者
Alexandre R. Marra,Gabriel Lopes,Isabele Pardo,Mariana Kim Hsieh,Takaaki Kobayashi,Pedro S. Marra,Jonas Marschall,João Renato Rebello Pinho,Deyvid Amgarten,Fernanda de Mello Malta,Nathália Villa dos Santos,Michael B. Edmond
标识
DOI:10.1016/j.diagmicrobio.2024.116465
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI