ClinicalTrials.gov
public full text
Public Domain
Molecular Diagnosis and Risk Stratification of Sepsis in India
Background: Globally, sepsis is common with an estimated population incidence of 437 cases per 100, 000 person-years and acute mortality of 26%, one of the few major medical conditions whose incidence and resulting mortality continues to rise. However, true burden is likely significantly higher as a recent meta- analysis could find no data from LMIC where 87% of the world's population resides. Objective: Generate new knowledge that will eventually provide rapid and accurate information about an individual patient suffering from sepsis (or critical illness), including which type of microorganism is responsible for the infection and the severity and stage of the patient's immune response. Methods: MARS-India will be a prospective longitudinal, single-centre observational study, conducted in mixed ICU's of a \>2000 bedded tertiary teaching hospital in Manipal, India. The investigators will recruit to three groups- sex and age-matched healthy volunteers (n=150) and patients diagnosed with sepsis/septic shock or non-infectious ICU admissions such as severe trauma, severe burns and patients admitted to ICU after major surgery (n=400). The investigators have optimised a workflow to follow and describe the immunoinflammatory status of septic patients (as well as severe trauma/burn and major surgery) during the first 6 months after their initial injury. At fixed time points the investigators will collect blood in PaxGene, heparin, citrate and EDTA tubes in addition to routine bloods and microbiological samples. Rectal swabs and stool will also be taken for microbiome analysis. Immune functional tests will be performed to determine whole-blood cytokine/chemokine production in response to ex-vivo stimulation using an 8-panel assay. Additionally, complete immunophenotyping using flow cytometry including HLA-DR expression and lymphocyte subsets will be obtained.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Machine Learning for Risk Stratification in the Emergency Department (MARS-ED)#907601
- Hemodynamic Resuscitation and Monitoring in Early Sepsis#1096096
- Sepsis Early EvaluatioN Through Rapid Ultrasound and veNous Gas Analysis#1007798
- Microbiome and Enteric Signatures in Sepsis-associated Hepatorenal Injury#1031904
- Transcriptomic Profiling in Severely Injured Patients#1087957
Record · ID 915192
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive