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Prognostic and predictive enrichment in sepsis
Sepsis is a heterogeneous disease state that is both common and consequential in critically ill patients. Unfortunately, the heterogeneity of sepsis at the individual patient level has hindered advances in the field beyond the current therapeutic standards, which consist of supportive care and antib...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097452/ https://www.ncbi.nlm.nih.gov/pubmed/31511662 http://dx.doi.org/10.1038/s41581-019-0199-3 |
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author | Stanski, Natalja L. Wong, Hector R. |
author_facet | Stanski, Natalja L. Wong, Hector R. |
author_sort | Stanski, Natalja L. |
collection | PubMed |
description | Sepsis is a heterogeneous disease state that is both common and consequential in critically ill patients. Unfortunately, the heterogeneity of sepsis at the individual patient level has hindered advances in the field beyond the current therapeutic standards, which consist of supportive care and antibiotics. This complexity has prompted attempts to develop a precision medicine approach, with research aimed towards stratifying patients into more homogeneous cohorts with shared biological features, potentially facilitating the identification of new therapies. Several investigators have successfully utilized leukocyte-derived mRNA and discovery-based approaches to subgroup patients on the basis of biological similarities defined by transcriptomic signatures. A critical next step is to develop a consensus sepsis subclassification system, which includes transcriptomic signatures as well as other biological and clinical data. This goal will require collaboration among various investigative groups, and validation in both existing data sets and prospective studies. Such studies are required to bring precision medicine to the bedside of critically ill patients with sepsis. |
format | Online Article Text |
id | pubmed-7097452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70974522020-03-26 Prognostic and predictive enrichment in sepsis Stanski, Natalja L. Wong, Hector R. Nat Rev Nephrol Review Article Sepsis is a heterogeneous disease state that is both common and consequential in critically ill patients. Unfortunately, the heterogeneity of sepsis at the individual patient level has hindered advances in the field beyond the current therapeutic standards, which consist of supportive care and antibiotics. This complexity has prompted attempts to develop a precision medicine approach, with research aimed towards stratifying patients into more homogeneous cohorts with shared biological features, potentially facilitating the identification of new therapies. Several investigators have successfully utilized leukocyte-derived mRNA and discovery-based approaches to subgroup patients on the basis of biological similarities defined by transcriptomic signatures. A critical next step is to develop a consensus sepsis subclassification system, which includes transcriptomic signatures as well as other biological and clinical data. This goal will require collaboration among various investigative groups, and validation in both existing data sets and prospective studies. Such studies are required to bring precision medicine to the bedside of critically ill patients with sepsis. Nature Publishing Group UK 2019-09-11 2020 /pmc/articles/PMC7097452/ /pubmed/31511662 http://dx.doi.org/10.1038/s41581-019-0199-3 Text en © Springer Nature Limited 2019 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Review Article Stanski, Natalja L. Wong, Hector R. Prognostic and predictive enrichment in sepsis |
title | Prognostic and predictive enrichment in sepsis |
title_full | Prognostic and predictive enrichment in sepsis |
title_fullStr | Prognostic and predictive enrichment in sepsis |
title_full_unstemmed | Prognostic and predictive enrichment in sepsis |
title_short | Prognostic and predictive enrichment in sepsis |
title_sort | prognostic and predictive enrichment in sepsis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097452/ https://www.ncbi.nlm.nih.gov/pubmed/31511662 http://dx.doi.org/10.1038/s41581-019-0199-3 |
work_keys_str_mv | AT stanskinataljal prognosticandpredictiveenrichmentinsepsis AT wonghectorr prognosticandpredictiveenrichmentinsepsis |