Early Prediction of Sepsis by Using Metabolomics (EPoS)

October 25, 2020 updated by: Xi Peng

Early Prediction of Sepsis by Metabolomic Pofiling in Critically Ill Patients

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.

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

Detailed Description

In the past the studies on the prediction and prognosis of sepsis were focused on the levels of protein and gene, and few researches have been done in the field of metabolomics. Actually the changes in the functioning of biological systems can be reflected not only by the specifically expressed protein but also by the metabolism. The metabolic characteristic of biological fluids will be significantly changed when body suffers from pathological or physiological stimulation, and these changes can reveal the disease state or severity while the organ function remains normal due to the compensatory action. Therefore it is possible to predict the occurrence, development and prognosis of sepsis in the early stage through the detection of the concentrations or ratios of these metabolites. The traditional methods are difficult to adapt to the detection of such complicated changes in metabolic profiles when sepsis occurs, thus there is a huge demand of novel means for the metabolic profiling in the inflammatory reaction. By now there have been several researches involved in the metabolic profiling in severe wound, but few have been done in the field of critical care medicine. The metabolic profiles in sepsis patients have remained unclear so far. Therefore it is of great significance to develop a metabolic profiling approach for the measurement and interpretation of the metabolites from the biological samples of sepsis patients and to establish a mode for the metabolomics-based early prediction of sepsis.

Several qualitative and quantitative detection methods will be employed to achieve the goal of metabolic profiling in patients with or without sepsis. Principal Components Analysis (PCA) and Partial Least Squares Discrimination Analysis (PLS-DA) methodology will be applied to understand the metabolic profile. The data will be analyzed by Mestrec and MestReNova software package and the Human Metabolome Database (HMDB) searching to identify the biomarkers for the prediction of sepsis. The biomarkers that changed the most will be verified by Liquid Chromatography-Mass Spectrometry (LC-MS).

Study Type

Observational

Enrollment (Anticipated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: Xi Peng, PhD, MD
  • Phone Number: 86-23-68754435
  • Email: pxlrmm@163.com

Study Locations

    • Chongqing
      • Chongqing, Chongqing, China, 400038
        • Recruiting
        • Southwest Hospital
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

14 years to 76 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patients admitted in ICU.

Description

Inclusion Criteria:

  • male and female aged 18-80 years old
  • confirmed infection (e.g. pulmonary, urinary, blood, abdominal, and pelvic infection)
  • APACHE II ≥15 and SOFA < 2 within 24 hours of admission
  • ICU length of stay ≥ 3 days

Exclusion Criteria:

  • pregnant and/or lactating women
  • previously suffered from immune diseases and/or long-term use of glucocorticoids
  • chronic renal failure or hemodialysis
  • patients who expressly refuse consent
  • patient who is undergoing other clinical trials

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Critically ill patients
Patients admitted in ICU
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Development of sepsis or not
Time Frame: 28 Days
Dynamic assessment of SOFA score to determine whether sepsis occurs. The clinical criteria for sepsis is suspected or documented infection and an acute increase of ≥2 SOFA points.
28 Days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Principal Investigator: Xi Peng, PhD, MD, Southwest Hospital, China

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 10, 2019

Primary Completion (Anticipated)

June 18, 2021

Study Completion (Anticipated)

December 31, 2022

Study Registration Dates

First Submitted

June 23, 2019

First Submitted That Met QC Criteria

June 23, 2019

First Posted (Actual)

June 25, 2019

Study Record Updates

Last Update Posted (Actual)

October 27, 2020

Last Update Submitted That Met QC Criteria

October 25, 2020

Last Verified

October 1, 2020

More Information

Terms related to this study

Other Study ID Numbers

  • 2018XLC2006

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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