Abby Hanson
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View article: Role of Procalcitonin as a Prognostic Biomarker in Hospitalized COVID-19 Patients: A Comparative Analysis
Role of Procalcitonin as a Prognostic Biomarker in Hospitalized COVID-19 Patients: A Comparative Analysis Open
Background: Procalcitonin (PCT) is recognized as an inflammatory biomarker, often elevated in COVID-19 pneumonia alongside other biomarkers. Understanding its association with severe outcomes and comparing its predictive ability with other…
View article: Impact of low dose inhaled nitric oxide treatment in spontaneously breathing and intubated COVID-19 patients: a retrospective propensity-matched study
Impact of low dose inhaled nitric oxide treatment in spontaneously breathing and intubated COVID-19 patients: a retrospective propensity-matched study Open
Background The benefit of Inhaled nitric oxide (iNO) therapy in the setting of COVID-19-related ARDS is obscure. We performed a multicenter retrospective study to evaluate the impact of iNO on patients with COVID-19 who require respiratory…
View article: Procalcitonin Levels and Bacterial Coinfection in Hospitalized Patients With COVID-19
Procalcitonin Levels and Bacterial Coinfection in Hospitalized Patients With COVID-19 Open
Procalcitonin is a biomarker that often is elevated in response to a bacterial infection, whereas viral infections suppress procalcitonin production through interferon-γ.1Becker K.L. Snider R. Nylen E.S. Procalcitonin assay in systemic inf…
View article: 202. Association of Neutrophil - Lymphocyte Ratio with Bacteremia and In-Hospital Mortality in Sepsis Patients: A Retrospective Multicenter Study
202. Association of Neutrophil - Lymphocyte Ratio with Bacteremia and In-Hospital Mortality in Sepsis Patients: A Retrospective Multicenter Study Open
Background Early diagnosis, prognostication, and treatment initiation are the cornerstones of sepsis management. There remains an immense interest in exploring the diagnostic and prognostic roles of neutrophil-lymphocyte ratio (NLR) in the…
View article: From numbers to medical knowledge: harnessing combinatorial data patterns to predict COVID-19 resource needs and distinguish patient subsets
From numbers to medical knowledge: harnessing combinatorial data patterns to predict COVID-19 resource needs and distinguish patient subsets Open
Background The COVID-19 pandemic intensified the use of scarce resources, including extracorporeal membrane oxygenation (ECMO) and mechanical ventilation (MV). The combinatorial features of the immune system may be considered to estimate s…