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. 2025 Jun;22(3):205-210.
doi: 10.1080/17410541.2025.2499438. Epub 2025 May 12.

Precision acute medical care through "-omic" analyses: a scoping review

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Precision acute medical care through "-omic" analyses: a scoping review

Cole Ettingoff et al. Per Med. 2025 Jun.

Abstract

Background: -Omics technologies - including genomics, transcriptomics, proteomics, and metabolomics - are increasingly used in acute care settings. However, the current extent of this research has not been systematically assessed.

Objectives: To characterize how -omics analyses are applied to acute medical conditions and identify trends, gaps, and implementation barriers.

Methods: Eligible studies included human subjects with acute conditions and used -omics biosample analyses for diagnostic, prognostic, or predictive purposes. Feedback from the SAEM Precision Emergency Medicine Consensus Conference informed the search and inclusion criteria. Studies of infectious diseases were excluded for separate analysis.

Results: Of 7,531 screened articles, 421 met inclusion criteria. Most were observational cohort studies, with single nucleotide polymorphism analysis being most common. Cardiovascular and trauma-related conditions were frequently studied. Only 12.4% of studies included children, and just 7 focused exclusively on older adults. One-third were conducted outside of emergency departments. Many studies addressed diverse, uncategorized acute conditions.

Conclusions: While -omics research in acute care is growing, it remains predominantly observational with limited clinical implementation. Barriers include delayed turnaround times, insufficient EHR integration, and underrepresentation of vulnerable populations. Advancing this field requires cross-disciplinary collaboration, focused research priorities, and investment in implementation studies.

Keywords: Omics; genomics; metabolomics; precision diagnostics; prognostics; proteomics; rapid precision care.

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Figures

Figure 1.
Figure 1.
Identification of studies via databases and registers.
Figure 2.
Figure 2.
Overall distribution of omics modalities.
Figure 3.
Figure 3.
Number of studies by year and omics modality.

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