Background <p>Infected pancreatic necrosis (IPN) is a severe complication of acute pancreatitis, requiring prompt diagnosis. Conventional microbial culture, the current gold standard, has limitations in sensitivity and turnaround time. Metagenomic next-generation sequencing (mNGS) offers rapid, comprehensive pathogen detection, but its diagnostic performance for IPN remains unclear.</p> Methods <p>We conducted a systematic review and meta-analysis following PRISMA-DTA guidelines, prospectively registered in PROSPERO (CRD420251008574). PubMed, Embase, and Web of Science databases were searched from inception to March 2025. Seven studies (313 patients) evaluating mNGS for IPN diagnosis were included, with four providing direct comparisons to culture. Pooled sensitivity, specificity, and area under the curve (AUC) were calculated using a random-effects model. Heterogeneity was assessed using I<sup>2</sup> statistics.</p> Results <p>In double-arm analysis, mNGS showed significantly higher sensitivity (0.87, 95% CI: 0.72–0.95) than culture (0.36, 95% CI: 0.23–0.51), with comparable specificity (0.83 for both). The AUC for mNGS (0.92, 95% CI: 0.79–0.94) surpassed that of culture (0.52, 95% CI: 0.27–0.86). Single-arm analysis confirmed mNGS as a reliable standalone test (sensitivity: 0.86; specificity: 0.85; AUC: 0.89). A threshold effect (r = −&#xa0;0.991) indicated variability in diagnostic criteria across studies.</p> Conclusions <p>mNGS outperforms culture in diagnosing IPN, offering higher sensitivity and faster results. Its ability to detect diverse pathogens, including fastidious and polymicrobial infections, makes it a valuable tool for early intervention. However, challenges like cost, standardization, and interpretation persist. Future studies should focus on prospective validation and cost-effectiveness to integrate mNGS into routine clinical practice.</p>

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Diagnostic Performance of Metagenomic Next-Generation Sequencing (mNGS) and Culture in Infected Pancreatic Necrosis: A Systematic Review and Meta-Analysis

  • Aizaz Ali,
  • Asad Iqbal Khattak,
  • Dikshit Chawla,
  • Fariha Hasan,
  • Hafsa Khan,
  • Muhammad Abdullah Ali,
  • Abdul Moeez,
  • Sana Tanveer,
  • Ubaidullah,
  • Muhammad Jibran Afridi,
  • Jibran Ikram,
  • ⁠Saad Hayat,
  • Fatima Zehra Shah,
  • Ahmed Nadeem,
  • Muhammad Ahmad Nadeem,
  • Ali Mushtaq,
  • Waqqas Haroon,
  • Hareesha Rishab Bharadwaj,
  • Dushyant Singh Dahiya,
  • Emad Mansoor

摘要

Background

Infected pancreatic necrosis (IPN) is a severe complication of acute pancreatitis, requiring prompt diagnosis. Conventional microbial culture, the current gold standard, has limitations in sensitivity and turnaround time. Metagenomic next-generation sequencing (mNGS) offers rapid, comprehensive pathogen detection, but its diagnostic performance for IPN remains unclear.

Methods

We conducted a systematic review and meta-analysis following PRISMA-DTA guidelines, prospectively registered in PROSPERO (CRD420251008574). PubMed, Embase, and Web of Science databases were searched from inception to March 2025. Seven studies (313 patients) evaluating mNGS for IPN diagnosis were included, with four providing direct comparisons to culture. Pooled sensitivity, specificity, and area under the curve (AUC) were calculated using a random-effects model. Heterogeneity was assessed using I2 statistics.

Results

In double-arm analysis, mNGS showed significantly higher sensitivity (0.87, 95% CI: 0.72–0.95) than culture (0.36, 95% CI: 0.23–0.51), with comparable specificity (0.83 for both). The AUC for mNGS (0.92, 95% CI: 0.79–0.94) surpassed that of culture (0.52, 95% CI: 0.27–0.86). Single-arm analysis confirmed mNGS as a reliable standalone test (sensitivity: 0.86; specificity: 0.85; AUC: 0.89). A threshold effect (r = − 0.991) indicated variability in diagnostic criteria across studies.

Conclusions

mNGS outperforms culture in diagnosing IPN, offering higher sensitivity and faster results. Its ability to detect diverse pathogens, including fastidious and polymicrobial infections, makes it a valuable tool for early intervention. However, challenges like cost, standardization, and interpretation persist. Future studies should focus on prospective validation and cost-effectiveness to integrate mNGS into routine clinical practice.