Validating the genomic signature of pediatric septic shock Free anal sex chat bot
Discovery and identification of septic shock subclasses could provide the foundation for the design of more specifically targeted therapies.
Herein we tested the hypothesis that pediatric septic shock subclasses can be discovered through genome-wide expression profiling.
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Septic shock heterogeneity has important implications for clinical trial implementation and patient management. Using computer-based image analysis, patients were classified into 1 of 3 subclasses (“A”, “B”, or “C”) based on color and pattern similarity relative to reference mosaics generated from the original derivation cohort.
We analyzed sources of variance in genome-wide expression analyses performed with commercial oligonucleotide arrays.We previously addressed this heterogeneity by identifying three putative subclasses of children with septic shock based exclusively on a 100-gene expression signature. After subclassification, the clinical database was mined for phenotyping.Here we attempted to prospectively validate the existence of these gene expression-based subclasses in a validation cohort. Subclass A patients had higher illness severity relative to subclasses B and C, as measured by maximal organ failure, fewer ICU-free days, and a higher PRISM score.For example, a previous clinical trial centered on an anti-tumor necrosis factor antibody strategy used serum interleukin-6 concentrations to identify and stratify septic shock patients with a higher severity of illness, ostensibly to select a patient population that could potentially derive a greater benefit from immune modulation therapy .Your access to the NCBI website at gov has been temporarily blocked due to a possible misuse/abuse situation involving your site.
Statistical comparison of the three putative subclasses (analysis of variance, Bonferonni correction, While septic shock is fundamentally an infection-based disease entity, it is not a singular, homogenous disease in the traditional sense.