Vol 18: Multiple gene-to-gene interactions in children with sepsis: a combination of five gene variants predicts outcome of life-threatening sepsis.Report as inadecuate



 Vol 18: Multiple gene-to-gene interactions in children with sepsis: a combination of five gene variants predicts outcome of life-threatening sepsis.


Vol 18: Multiple gene-to-gene interactions in children with sepsis: a combination of five gene variants predicts outcome of life-threatening sepsis. - Download this document for free, or read online. Document in PDF available to download.

Download or read this book online for free in PDF: Vol 18: Multiple gene-to-gene interactions in children with sepsis: a combination of five gene variants predicts outcome of life-threatening sepsis.
This article is from Critical Care, volume 18.AbstractIntroduction: The aim of the study was to identify the dependency structure of genetic variants that can influence the outcome for paediatric patients with sepsis. Methods: We evaluated the role of single nucleotide polymorphisms for five genes: bactericidal permeability increasing protein BPI; rs5743507, lipopolysaccharide-binding protein LBP; rs2232618, toll-like receptor 4 TLR4; rs4986790, heat shock protein 70 HSP 70; rs2227956, and interleukin 6 IL-6; rs1800795 in 598 children aged 0 to 19 years that were admitted to a paediatric intensive care unit with fever, systemic inflammatory response syndrome, sepsis, severe sepsis, septic shock, or multiple organ dysfunction syndrome. A control group of 529 healthy individuals was included. Multi-way contingency tables were constructed and statistically evaluated using log-linear models. Typical gene combinations were found for both study groups. Results: Detailed analyses of the five studied gene profiles revealed significant differences in sepsis survival. Stratification into high-risk, intermediate-risk, and low-risk groups of paediatric patients can predict the severity of sepsis. Conclusions: Analysis of single nucleotide polymorphisms for five genes can be used as a predictor of sepsis outcome in children.



Author: Jabandziev, Petr; Smerek, Michal; Michalek, Jaroslav; Fedora, Michal; Kosinova, Lucie; Hubacek, Jaroslav A; Michalek, Jaroslav

Source: https://archive.org/



DOWNLOAD PDF




Related documents