Clinical Efficacy and Diagnostic Value of Metagenomic Next-Generation Sequencing (mNGS) in Hospital-Acquired Pneumonia: A Stratified Retrospective Study of Responders and Non- Responders DOI Creative Commons
Bin Zhang, Jianjun Wang, Qing Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Abstract Background:Hospital-acquired pneumonia (HAP) presents significant diagnostic challenges, exacerbated by the limitations of traditional culture-based methods. This study evaluates clinical efficacy and value metagenomic next-generation sequencing (mNGS) in detection pathogens HAP patients, providing new insights into infection prevention control healthcare settings. Methods: We conducted a retrospective analysis laboratory data from 300 adult patients at Beijing Rehabilitation Hospital, China. Bronchoalveolar lavage fluid samples were collected for DNA extraction, library construction, using Illumina platform. Results: The results revealed that mNGS identified 92% samples, compared to 72% cultures. Specifically, detected broader range bacteria, viruses, fungi, including Pseudomonas, Klebsiella, Aspergillus, which often missed polymicrobial infections 28% cases antibiotic resistance genes 30% where methods failed. These findings led changes treatment 26% based solely on data, with specific adjustments driven rare or resistant 18% these cases. Conclusions: Our advocate integration routine practice enhance accuracy enable more informed decision-making management HAP. Despite its higher cost technical requirements, holds promise accurate timely diagnostics complex

Language: Английский

The value of metagenomic next-generation sequencing in the diagnosis of fever of unknown origin DOI Creative Commons

Lan Min Lai,

Quan Chen, Yang Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 14, 2025

Language: Английский

Citations

1
Clinical application and evaluation of metagenomic next-generation sequencing in pathogen detection for suspected central nervous system infections DOI Creative Commons
Lei Yuan,

Xin Yu Zhu,

Lan Min Lai

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 23, 2024

Central nervous system Infections (CNSIs) is a disease characterized by complex pathogens, rapid progression, high mortality rate and disability rate. Here, we evaluated the clinical value of metagenomic next generation sequencing (mNGS) in diagnosis central infections explored factors affecting results mNGS. We conducted retrospective study to compare mNGS with conventional methods including culture, smear etc. 111 suspected CNS infectious patients were enrolled this study, data recorded. Chi-square test used evaluate independent binomial variables, taking p < 0.05 as statistically significant threshold. Of cases, 57.7% (64/111) diagnosed infections. From these identified 39.6% (44/111) true-positive 7.2% (8/111) false-positive case, 35.1% (39/111) true-negative 18.0% (20/111) false-negative cases. The sensitivity specificity 68.7% (44/64) 82.9% (39/47), respectively. Compared provided higher pathogen detection CNSIs (68.7% vs. 26.5% (17/64), 0.0001). methods, positive percent agreement negative was 84.60% (44/52) 66.1% (39/59) separately. At species-specific read number (SSRN) ≥ 2, performance definite viral encephalitis and/or meningitis optimal (area under curve [AUC] 0.758, 95% confidence interval [CI] 0.663-0.854). In bacterial CSF abnormalities (CSF WBC > 300*10

Language: Английский

Citations

5
Clinical Efficacy and Diagnostic Value of Metagenomic Next-Generation Sequencing (mNGS) in Hospital-Acquired Pneumonia: A Stratified Retrospective Study of Responders and Non- Responders DOI Creative Commons
Bin Zhang, Jianjun Wang, Qing Li

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Abstract Background:Hospital-acquired pneumonia (HAP) presents significant diagnostic challenges, exacerbated by the limitations of traditional culture-based methods. This study evaluates clinical efficacy and value metagenomic next-generation sequencing (mNGS) in detection pathogens HAP patients, providing new insights into infection prevention control healthcare settings. Methods: We conducted a retrospective analysis laboratory data from 300 adult patients at Beijing Rehabilitation Hospital, China. Bronchoalveolar lavage fluid samples were collected for DNA extraction, library construction, using Illumina platform. Results: The results revealed that mNGS identified 92% samples, compared to 72% cultures. Specifically, detected broader range bacteria, viruses, fungi, including Pseudomonas, Klebsiella, Aspergillus, which often missed polymicrobial infections 28% cases antibiotic resistance genes 30% where methods failed. These findings led changes treatment 26% based solely on data, with specific adjustments driven rare or resistant 18% these cases. Conclusions: Our advocate integration routine practice enhance accuracy enable more informed decision-making management HAP. Despite its higher cost technical requirements, holds promise accurate timely diagnostics complex

Language: Английский

Citations

0