Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Algorithm for Predicting the Unfavorable Course of Sepsis in Children

The Republican Research and Practical Center for Epidemiology and Microbiology · 2021
ClinicalTrials.gov · Datasets · License: Public Domain · 2021
Open Source ↗
genetic-polymorphismmonocytesneutrophilssepsis
A comprehensive strategy will be used to investigate the relationship and correlation between 4 diagnostically significant markers relevant for early diagnosis and prediction of complications and death in the development of sepsis in children (C-reactive protein, procalcitonin, presepsin and lipopolysaccharide binding protein). For the first time, an attempt will be made to assess the genetic characteristics of the patient's from the point of view of predisposition to the unfavorable development of the sepsis based on the study of polymorphism of a number of genes of the immune system (tumor necrosis factor beta; interleukin 6, 8, 10; lymphotoxin alpha, etc.). Based on the study results, an algorithm to predict the unfavorable course of sepsis in children will be developed using a comprehensive assessment of biochemical and molecular genetic markers.
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

Record · ID 1384751
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