Summary of project PR001985

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001985. The data can be accessed directly via it's Project DOI: 10.21228/M84Q71 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

Project ID: PR001985
Project DOI:doi: 10.21228/M84Q71
Project Title:Serum metabolites for septic shock detection in emergency department
Project Type:Untargeted metabolomics analysis
Project Summary:Septic shock is a life-threatening condition that arises from a dysregulated host response to infection, resulting in the failure of multiple organ systems and the rapid decline of the patient’s health status. As a medical emergency, early recognition and timely interventions are crucial for improving patient outcomes, particularly in the emergency department setting where septic patients are initially treated. Despite the importance of early identification, current diagnostic tools remain challenges in predicting septic shock at the time of admission. To address these limitations, this study aimed to develop a highly sensitive and specific platform for predicting septic shock in the emergency department using machine learning techniques applied to the metabolic profile. This approach has the potential to optimize the clinical management of septic shock.
Institute:National Taiwan University
Department:Department of Chemistry
Laboratory:Cheng-Chih Hsu's lab
Last Name:Hong
First Name:Yu
Address:No. 1, Sec. 4, Roosevelt Rd., Taipei, Taipei, 106, Taiwan
Email:f07223179@ntu.edu.tw
Phone:+886-2-3366-1681

Summary of all studies in project PR001985

Study IDStudy TitleSpeciesInstituteAnalysis
(* : Contains Untargted data)
Release
Date
VersionSamplesDownload
(* : Contains raw data)
ST003189 Untargeted Metabolomic Profile of Septic Shock in the Emergency Department Homo sapiens National Taiwan University MS* 2024-05-28 1 124 Uploaded data (2.4G)*
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