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Early Identification and Prognosis Prediction of Sepsis Through Multiomics — EIPPSM  

Sepsis Clinical Trial

Official title:
Early Identification and Prognosis Prediction of Sepsis Through Multiomics

Clinical Trial Summary

This study aims to integrate multi-omics data and clinical indicators to reveal pathogen-specific molecular patterns in patients with sepsis and establish prognostic prediction models through multiple machine learning algorithms.

Clinical Trial Description

This study aims to quantify the plasma metabolome, single nucleotide polymorphisms (SNPs) of exons and immunocytokines of septic patients with different pathogen infections and prognostic outcomes. Multi-omics data, cytokines, and clinical indicators will be integrated through multiple machine learning algorithms to reveal pathogen-specific molecular patterns and multi-dimensional prognostic prediction models. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05305469
Study type Observational
Source Yantai Yuhuangding Hospital
Contact Jing Wang
Phone 8605356691999
Email wangjinghehe@sina.com
Status Recruiting
Phase
Start date January 1, 2022
Completion date December 31, 2025
View Details
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