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Updated: Sep 24, 2025
A Neonatal Imaging Model of Gram-Negative Bacterial Sepsis
Published on: August 12, 2020
[Precision medicine for the diagnosis of neonatal sepsis: systematic review and meta-analysis]
Sergio Iván Agudelo-Pérez1, Carlos Molina-Castaño2, Laura Quintero1
1Facultad de Medicina, Universidad de La Sabana, Cundinamarca, Colombia.
Background:
Current biomarkers for the diagnosis of neonatal sepsis llave limited accuracy. The development of precision medicine based on omic's technologies offer an opportunity to improve the diagnosis of neonatal sepsis.
Aim:
To evalúate the sensitivity and specificity of tests based on omic technologies (metabolomics, proteomics and genomics) for the diagnosis of neonatal sepsis.
Methods:
A systematic review was carried out in electronic databases. Observational studies and clinical trials evaluating tests based on omic technologies in neonates compared to culture for the diagnosis of neonatal sepsis were included. For the meta-analysis, a random effects model and an evaluation of heterogeneity were proposed through a subgroup analysis by omic test, gestational age and time of establishment of sepsis.
Results:
Differential expression of the genome, proteome and metabolome is observed between neonates with and without sepsis, identifying different biomarkers. The meta-analysis showed a pooled summary measure for sensitivity of0.88 (95% CI 0.72, 0.96), specificity of0.76 (95% CI 0.62, 0.85).
Conclusion:
Omics-based tests have a high sensitivity, with the best performing ones being those based on genomics / transcriptomics. The studies have high heterogeneity.
