Algorithm for Predicting the Unfavorable Course of Sepsis in Children
NCT05908162 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 185
Last updated 2025-12-30
Summary
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.
Conditions
Interventions
- DIAGNOSTIC_TEST
-
Bood leukocyte subsets
Determination of blood leukocyte subpopulations, subpopulation of monocytes and expression CD64 on neutrophils
Sponsors & Collaborators
-
Belarusian State Medical University
collaborator OTHER -
The Republican Research and Practical Center for Epidemiology and Microbiology
lead OTHER
Principal Investigators
-
Elena G Fomina, Dr · The Republican Research and Practical Center for Epidemiology and Microbiology (RRPCEM)
Eligibility
- Min Age
- 1 Day
- Max Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2021-07-01
- Primary Completion
- 2024-12-25
- Completion
- 2025-01-01
Countries
- Belarus
Study Locations
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