Evidence map›Paper›PMID 40567315›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2025

Cross-sectional Study: Diagnostic Accuracy of Next-generation Sequencing in a Tertiary Care Intensive Care Unit.

Mihika Sawale, Rishabh Raj, Mugdha Bhide, Gunjan Chanchalani

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In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Mihika SawaleDepartment of Respiratory Medicine, K.J. Somaiya Hospital, Mumbai, Maharashtra, India.ORCID https://orcid.org/0009-0004-2097-7190
Rishabh RajDepartment of Respiratory Medicine, K.J. Somaiya Hospital, Mumbai, Maharashtra, India.ORCID https://orcid.org/0009-0005-5990-8974
Mugdha BhideDepartment of Respiratory Medicine, K.J. Somaiya Hospital, Mumbai, Maharashtra, India.ORCID https://orcid.org/0009-0002-0878-7568
Gunjan ChanchalaniDepartment of Critical Care Medicine, K.J. Somaiya Hospital, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0001-8429-8526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Infectious diseases are a major cause of intensive care unit (ICU) mortality, where rapid pathogen identification is crucial. Traditional culture methods are slow and may miss fastidious organisms. Next-generation sequencing (NGS) offers rapid, comprehensive pathogen detection. This study assessed NGS accuracy compared to culture in a tertiary care ICU in India. Patients and methods: A retrospective observational analysis of 187 ICU patients with suspected infections was conducted with IRB approval. Paired samples from blood, urine, bronchoalveolar lavage fluid (BALF), cerebrospinal fluid (CSF), and other body fluids underwent NGS and culture testing. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated using culture as the reference. Concordance was also assessed. Results: Next-generation sequencing demonstrated a sensitivity of 75%, specificity of 59.6%, PPV of 62.23%, and NPV of 72.84%. It detected pathogens in 56.68% of cases vs 47.06% by culture, identifying 17 atypical organisms in culture-negative cases. Sensitivity was highest in CSF (100%) and BALF (87.5%), while specificity was highest in pleural fluid (100%) and blood (87.5%). Overall concordance was 57.2%. Conclusion: Next-generation sequencing has improved pathogen detection, identifying organisms missed by culture. High sensitivity across sample types suggests its value in ICU diagnostics. However, lower specificity, high cost, and standardization challenges limit standalone use. Clinical significance: Next-generation sequencing facilitates an earlier ICU infection diagnosis, allowing for prompt targeted treatment and potentially reducing antimicrobial resistance. However, false positives and cost remain barriers. Combining NGS with conventional culture techniques could improve diagnostic accuracy and patient outcomes in the right subset of patients. How to cite this article: Sawale M, Raj R, Bhide M, Chanchalani G. Cross-sectional Study: Diagnostic Accuracy of Next-generation Sequencing in a Tertiary Care Intensive Care Unit. Indian J Crit Care Med 2025;29(6):498-503.

Indexed as

CultureInfectious diseasesIntensive care unitNext-generation sequencingPathogen detection

Identifiers

PMID40567315
PMCPMC12186076

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.