Publications by authors named "Sabrina Coyle"
Background: Early and accurate diagnosis of acute infections can help minimize the overprescription of antibiotics and improve patient outcomes. Discrimination between bacterial and viral etiologies in acute infection based on changes in host gene expression has been described. Unfortunately, established technologies used for gene expression profiling are typically expensive and slow, confounding integration into clinical workflows.
View Article and Find Full Text PDFPredicting the severity of COVID-19 remains an unmet medical need. Our objective was to develop a blood-based host-gene-expression classifier for the severity of viral infections and validate it in independent data, including COVID-19. We developed a logistic regression-based classifier for the severity of viral infections and validated it in multiple viral infection settings including COVID-19.
View Article and Find Full Text PDFBackground: Whether or not to administer antibiotics is a common and challenging clinical decision in patients with suspected infections presenting to the emergency department (ED). We prospectively validate InSep, a 29-mRNA blood-based host response test for the prediction of bacterial and viral infections.
Methods: The PROMPT trial is a prospective, non-interventional, multi-center clinical study that enrolled 397 adult patients presenting to the ED with signs of acute infection and at least one vital sign change.
The purpose of this study was to generate greater understanding of social-emotional difficulties in infants and toddlers in an Irish context. This study compared rates of reported social-emotional difficulties in young children in clinical and non-clinical samples and probed a predictive model of social-emotional adjustment. Data were collected from a cross-sectional sample of 72 mothers of young children aged between 12 and 48 months.
View Article and Find Full Text PDFArticle Synopsis
- The study analyzed the transcriptomic host response to SARS-CoV-2 in patients with COVID-19, comparing it to responses from other viral infections using RNA sequencing.
- Results showed that although COVID-19 gene expression changes were significantly correlated with other viral infections, there were 416 genes unique to COVID-19, indicating specific immune responses and evasion mechanisms.
- The findings reveal shifts in immune cell types during COVID-19, with increases in natural killer cells and M2 macrophages, helping to deepen our understanding of how the host responds to SARS-CoV-2.
Objectives: Complex critical syndromes like sepsis and coronavirus disease 2019 may be composed of underling "endotypes," which may respond differently to treatment. The aim of this study was to test whether a previously defined bacterial sepsis endotypes classifier recapitulates the same clinical and immunological endotypes in coronavirus disease 2019.
Design: Prospective single-center observational cohort study.