Gastroenterologia y hepatologia · 2025
The diagnostic efficacy of metagenomic next-generation sequencing in spontaneous bacterial peritonitis: System review and meta-analysis.
СтатьяМетаанализСистематический обзорНазвание и аннотация: Перевод в очереди
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Wang Chen, Zhang Hongru, Liu Jingya
Аннотация
OBJECTIVE: The objective of this research is to assess the accuracy and reliability of metagenomic next-generation sequencing (mNGS) in identifying pathogens in spontaneous bacterial peritonitis (SBP) patients and its impact on antibiotic treatment decisions.
METHODS: Electronic databases were searched up to July 31, 2023. Studies reporting mNGS diagnostic sensitivity and specificity in SBP were included. Random or fixed-effects models were used. Heterogeneity was assessed using Chi-squared test and I2 statistics.
RESULTS: Out of 75 identified studies, four studies with a total of 420 SBP patients were included. The pooled sensitivity for mNGS in ascites was 94% (95% CI: 86-97%), and specificity was 81% (95% CI: 71-89%). The AUC was calculated to be 0.95 (95% CI: 0.92-0.96), indicating high diagnostic accuracy. The most common pathogens identified by mNGS were Gram-positive bacteria (36%), followed by Gram-negative bacteria (29%), viruses (22%), and fungi (11%).
CONCLUSION: mNGS shows high diagnostic accuracy in detecting pathogens in SBP patients, offering significant value in optimizing antimicrobial therapy. Its ability to identify a broad spectrum of pathogens makes it a promising tool in clinical management of SBP.
METHODS: Electronic databases were searched up to July 31, 2023. Studies reporting mNGS diagnostic sensitivity and specificity in SBP were included. Random or fixed-effects models were used. Heterogeneity was assessed using Chi-squared test and I2 statistics.
RESULTS: Out of 75 identified studies, four studies with a total of 420 SBP patients were included. The pooled sensitivity for mNGS in ascites was 94% (95% CI: 86-97%), and specificity was 81% (95% CI: 71-89%). The AUC was calculated to be 0.95 (95% CI: 0.92-0.96), indicating high diagnostic accuracy. The most common pathogens identified by mNGS were Gram-positive bacteria (36%), followed by Gram-negative bacteria (29%), viruses (22%), and fungi (11%).
CONCLUSION: mNGS shows high diagnostic accuracy in detecting pathogens in SBP patients, offering significant value in optimizing antimicrobial therapy. Its ability to identify a broad spectrum of pathogens makes it a promising tool in clinical management of SBP.