The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Era of Molecular and Other Non-Culture-Based Methods in Diagnosis of Sepsis
Open accessAbstract
SUMMARY: Sepsis, a leading cause of morbidity and mortality throughout the world, is a clinical syndrome with signs and symptoms relating to an infectious event and the consequent important inflammatory response. From a clinical point of view, sepsis is a continuous process ranging from systemic inflammatory response syndrome (SIRS) to multiple-organ-dysfunction syndrome (MODS). Blood cultures are the current “gold standard” for diagnosis, and they are based on the detection of viable microorganisms present in blood. However, on some occasions, blood cultures have intrinsic limitations in terms of sensitivity and rapidity, and it is not expected that these drawbacks will be overcome by significant improvements in the near future. For these principal reasons, other approaches are therefore needed in association with blood culture to improve the overall diagnostic yield for septic patients. These considerations have represented the rationale for the development of highly sensitive and fast laboratory methods. This review addresses non-culture-based techniques for the diagnosis of sepsis, including molecular and other non-culture-based methods. In particular, the potential clinical role for the sensitive and rapid detection of bacterial and fungal DNA in the development of new diagnostic algorithms is discussed.
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Kumar, A., Roberts, D., Wood, K. E., Light, B., Parrillo, J. E., Sharma, S., Suppes, R., Feinstein, D., Zanotti, S., Taiberg, L., et al. (2006) · Critical Care Medicine · doi:10.1097/01.ccm.0000217961.75225.e9 · Cited by 6,109
The epidemiology of sepsis in the United States from 1979 through 2000
Martin, G. S., Mannino, D. M., Eaton, S., & Moss, M. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa022139 · Cited by 5,841
Ostrosky-Zeichner, L., Alexander, B. D., Kett, D. H., Vazquez, J., Pappas, P. G., Saeki, F., Ketchum, P. A., Wingard, J., Schiff, R., Tamura, H., et al. (2005) · Clinical Infectious Diseases · doi:10.1086/432470 · Cited by 669
Use of PCR for diagnosis of invasive aspergillosis: systematic review and meta-analysis
Mengoli, C., Cruciani, M., Barnes, R. A., Loeffler, J., & Donnelly, J. P. (2009) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(09)70019-2 · Cited by 354
Racial Variation in the Incidence, Care, and Outcomes of Severe Sepsis
Barnato, A. E., Alexander, S. L., Linde-Zwirble, W. T., & Angus, D. C. (2008) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200703-480oc · Cited by 284
Vince, A., Lepej, S. Ž., Baršić, B., Dušek, D., Mitrović, Z., Serventi-Seiwerth, R., & Labar, B. (2008) · Journal of Medical Microbiology · doi:10.1099/jmm.0.47797-0 · Cited by 59
Cited by
Blauwkamp, T. A., Thair, S., Rosen, M. J., Blair, L., Lindner, M. S., Vilfan, I. D., Kawli, T., Christians, F. C., Venkatasubrahmanyam, S., Wall, G. D., et al. (2019) · Nature Microbiology · doi:10.1038/s41564-018-0349-6 · Cited by 962
Stearns-Kurosawa, D. J., Osuchowski, M. F., Valentine, C., Kurosawa, S., & Remick, D. G. (2011) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-011110-130327 · Cited by 549
Multiplex in vitro detection using SERS
Laing, S., Gracie, K., & Faulds, K. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00644a · Cited by 361
Rello, J., van Engelen, T. S. R., Alp, E., Calandra, T., Cattoir, V., Kern, W. V., Netea, M. G., Nseir, S., Opal, S. M., van de Veerdonk, F. L., et al. (2018) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2018.03.011 · Cited by 143
Nanozybiotics: advancing antimicrobial strategies through biomimetic mechanisms
Zhou, C., Wang, Q., Cao, H., Jiang, J., & Gao, L. (2024) · Advanced Materials · doi:10.1002/adma.202403362 · Cited by 114
Metadata
- Authors
- Mancini, N., Carletti, S., Ghidoli, N., Cichero, P., Burioni, R., & Clementi, M.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2010-01
- Volume
- 23
- Issue
- 1
- Pages
- 235-251
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2123163306
- Cited by
- 407
- References
- 6
- FWCI
- 16.08
- Type
- journal article
- Language
- en
- Open access
- green
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- Mancini, N., Carletti, S., Ghidoli, N., Cichero, P., Burioni, R., & Clementi, M. (2010). The Era of Molecular and Other Non-Culture-Based Methods in Diagnosis of Sepsis. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00043-09
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
