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Early Prediction of Sepsis by Using Metabolomics

NCT03996759 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200

Last updated 2020-10-27

No results posted yet for this study

Summary

Sepsis is a serious medical condition associated with a high incidence and mortality rate. It is the leading cause of death in ICU worldwide. Nowadays sepsis was redefined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Despite the progress made in the pathogenesis of sepsis and advances achieved in medical interventions, the management of sepsis remains a challenge for clinicians. The core problem that precludes the promotion in the management of sepsis is the lack of early and precise prediction. The metabolic profiles will be significantly changed when body suffers from sepsis even though the organ function remains normal, thus making it possible to predict sepsis in the early stage through the detection of the metabolites.

Conditions

Interventions

DIAGNOSTIC_TEST

Laboratory diagnostic medicine

Metabolomic profiling and laboratory diagnosis including blood routine examination, liver function, renal function, myocardial enzyme, coagulation, arterial blood gas analysis, C-reactive protein, procalcitonin, B-type natriuretic peptide, myoglobin, lipopolysaccharide, cytokines (TNF-α, IL-1β, IL-6, etc.), immune cell markers (CD3+, CD4+, CD8+, etc.), and stool routine as well as intestinal microecology analysis.

Sponsors & Collaborators

  • Xi Peng

    lead OTHER

Principal Investigators

  • Xi Peng, PhD, MD · Southwest Hospital, China

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-07-10
Primary Completion
2021-06-18
Completion
2022-12-31

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03996759 on ClinicalTrials.gov