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Molecular Diagnosis and Risk Stratification of Sepsis

Molecular Diagnosis and Risk Stratification of Sepsis

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT01905033
Acronym
MARS
Enrollment
7500
Registered
2013-07-23
Start date
2011-01-31
Completion date
2018-06-30
Last updated
2016-04-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sepsis

Keywords

Sepsis, Pneumonia, Peritonitis, Biomarkers, Transcriptomics, Pathogen detection

Brief summary

Background: Sepsis is a major cause of in-hospital morbidity and mortality. Current tools available to the clinician to initiate therapy of patients with sepsis mainly comprise of symptom classification systems and culture techniques, which provide aspecific and slow information. Objective: The ultimate goal of this program is to assist the physician at the bedside in tailoring the treatment of an individual patient suffering from sepsis by generating rapid molecular information about the causative pathogen and the host response. Deliverables: Rapid tests (sample-in-result-out) that can be used by health care personnel at or close to the bedside and that provide rapid information (within two hours) about the presence or absence of sepsis, the causative pathogen and the risk of the individual patient for sepsis complications and death. Design: The program is organized into four Work Packages (WPs) along a clinical, discovery and technology platform. In WP1 two university hospitals will enroll 7500 patients admitted to the Intensive Care Unit during the first 3 years of the project; 25% - 40% of these patients will have or will develop sepsis. In WP2 (Pathogen Detection), blood obtained from these patients will be used to develop rapid, fully automated DNA-based bedside tests that identify microorganisms and also provide information about their resistance to antibiotics. In WP3 (Host Response), RNA from blood cells will be analyzed to find novel biomarkers and to develop rapid and easy to perform tests that provide information about the risk profile of the patient. In addition, plasma levels of selected protein biomarkers will be measured for comparison of their value with that of the identified leukocyte molecular signatures. WP4 is responsible for the ICT management of the project. The Clinical Platform (covered by WP1 and WP4) delivers patient data and biological samples to the discovery and technology platforms. The Discovery Platform (covered by WP2 and WP3) uses patient data and biological samples to develop tests for detection of the infectious agent causing sepsis and for stratification of patients according to their risk for sepsis complications, including death. The results generated within the discovery platform will be delivered to the technology platform. The Technology Platform (part of WP2 and WP3) has the specific aim to develop rapid assays that run on a fully automated (micro)fluidics platform that is so easy to operate that it can be used in decentralized settings such as (close to) the ICU. The developed assays will make use of the knowledge generated in the discovery platform.

Interventions

None listed

Sponsors

Center for Translational Molecular Medicine
CollaboratorOTHER
UMC Utrecht
CollaboratorOTHER
Radboud University Medical Center
CollaboratorOTHER
Philips Healthcare
CollaboratorINDUSTRY
Microbiome
CollaboratorUNKNOWN
Immunetrics
CollaboratorUNKNOWN
Check-Points
CollaboratorUNKNOWN
Biocartis NV
CollaboratorINDUSTRY
Immunexpress
CollaboratorINDUSTRY
Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* All patients\> 18 years in the Intensive Care Units of the AMC Amsterdam and UMC Utrecht.

Exclusion criteria

* Elective cardiac surgery patients with an uncomplicated stay.

Design outcomes

Primary

MeasureTime frame
Molecular information about causative pathogens and the host response in patients with sepsisOne year

Secondary

MeasureTime frame
Stratification of septic patients by severity and type of immune response to infectionFive years

Countries

Netherlands

Contacts

Primary ContactTom van der Poll, Prof.
t.vanderpoll@amc.uva.nl+31205665910

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 15, 2026