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Sepsis is a leading cause of death in intensive care units (ICUs), but outcomes of individual patients are difficult to predict. The recently developed clinical metabolomics has been recognized as a promising tool in the clinical practice of critical illness. The objective of this study was to identify the unique metabolic biomarkers and their pathways in the blood of sepsis nonsurvivors and to assess the prognostic value of these pathways.
Pubmed ID: 32290837
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Comprehensive international bibliographic biomedical database that enables users to track and retrieve precise information on drugs and diseases from pre-clinical studies to searches on critical toxicological information. It contains bibliographic records with citations, abstracts and indexing derived from biomedical articles in peer reviewed journals, and is especially strong in its coverage of drug and pharmaceutical research. Embase can help with everything from clinical trials research to pharmacovigilance and is updated online daily and weekly. Its broad biomedical scope covers the following areas: * Drug therapy and research, including pharmaceutics, pharmacology and toxicology * Clinical and experimental (human) medicine * Basic biological science relevant to human medicine * Biotechnology and biomedical engineering, including medical devices * Health policy and management, including pharmacoeconomics * Public, occupational and environmental health, including pollution control * Veterinary science, dentistry, and nursing The Embase Application Programming Interface supports export, RSS feeds, and integration services, making it possible to share data with a wide range of systems.
View all literature mentionsCollection of information about chemical structures and biological properties of small molecules and siRNA reagents hosted by the National Center for Biotechnology Information (NCBI).
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View all literature mentionsWeb server for statistical, functional and integrative analysis of metabolomics data. Web based tool suite used for metabolomic data processing, normalization, multivariate statistical analysis, and data annotation, biomarker discovery and classification.
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