The DOI matches its Crossref record; 190 of the 190 references it cites were found in a registry or an index.
Emerging Technologies for Molecular Diagnosis of Sepsis
Open accessAbstract
SUMMARY: Rapid and accurate profiling of infection-causing pathogens remains a significant challenge in modern health care. Despite advances in molecular diagnostic techniques, blood culture analysis remains the gold standard for diagnosing sepsis. However, this method is too slow and cumbersome to significantly influence the initial management of patients. The swift initiation of precise and targeted antibiotic therapies depends on the ability of a sepsis diagnostic test to capture clinically relevant organisms along with antimicrobial resistance within 1 to 3 h. The administration of appropriate, narrow-spectrum antibiotics demands that such a test be extremely sensitive with a high negative predictive value. In addition, it should utilize small sample volumes and detect polymicrobial infections and contaminants. All of this must be accomplished with a platform that is easily integrated into the clinical workflow. In this review, we outline the limitations of routine blood culture testing and discuss how emerging sepsis technologies are converging on the characteristics of the ideal sepsis diagnostic test. We include seven molecular technologies that have been validated on clinical blood specimens or mock samples using human blood. In addition, we discuss advances in machine learning technologies that use electronic medical record data to provide contextual evaluation support for clinical decision-making.
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Cited by
Peiffer-Smadja, N., Rawson, T. M., Ahmad, R., Buchard, A., Georgiou, P., Lescure, F.-X., Birgand, G., & Holmes, A. H. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2019.09.009 · Cited by 561
An update on current and novel molecular diagnostics for the diagnosis of invasive fungal infections
Jenks, J. D., White, P. L., Kidd, S. E., Goshia, T., Fraley, S. I., Hoenigl, M., & Thompson, G. R. (2023) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2023.2267977 · Cited by 61
Self-citationThorndike, J., & Kollef, M. H. (2020) · Current Opinion in Critical Care · doi:10.1097/mcc.0000000000000751 · Cited by 42
Metadata
- Authors
- Sinha, M., Jupe, J., Mack, H., Coleman, T. P., Lawrence, S. M., & Fraley, S. I.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2018-04
- Volume
- 31
- Issue
- 2
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2787977934
- Cited by
- 331
- References
- 190
- FWCI
- 21.38
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Sinha, M., Jupe, J., Mack, H., Coleman, T. P., Lawrence, S. M., & Fraley, S. I. (2018). Emerging Technologies for Molecular Diagnosis of Sepsis. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00089-17
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
