Publications by authors named "Cosby G Arnold"

Background: -Omics technologies - including genomics, transcriptomics, proteomics, and metabolomics - are increasingly used in acute care settings. However, the current extent of this research has not been systematically assessed.

Objectives: To characterize how -omics analyses are applied to acute medical conditions and identify trends, gaps, and implementation barriers.

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Objective: The Pediatric Emergency Care Applied Research Network (PECARN) derived and externally validated a clinical prediction rule to identify children with blunt torso trauma at low risk for intraabdominal injuries undergoing acute intervention (IAI). Little is known about the risk for IAI when only one or two prediction rule variables are positive. We sought to determine the risk for IAI when either one or two PECARN intraabdominal injury rule variables are positive.

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Introduction: Procalcitonin (PCT) is a useful biomarker in the initial evaluation of febrile infants for serious bacterial infections (SBIs). However, PCT is not always available locally and must at times be frozen and shipped to a reference laboratory for research studies. We sought to compare PCT measured locally versus centrally at a reference laboratory during a research study.

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Electronic health records (EHRs) and linked biobanks have tremendous potential to advance biomedical research and ultimately improve the health of future generations. Repurposing EHR data for research is not without challenges, however. In this paper, we describe the processes and considerations necessary to successfully access and utilize a data warehouse for research.

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RT-PCR is the foremost clinical test for diagnosis of COVID-19. Unfortunately, PCR-based testing has limitations and may not result in a positive test early in the course of infection before symptoms develop. Enveloped RNA viruses, such as coronaviruses, alter peripheral blood methylation and DNA methylation signatures may characterize asymptomatic versus symptomatic infection.

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Background: Acetaminophen (APAP)-associated transaminase elevation, induced by N-acetyl-p-benzoquinone imine (NAPQI) protein adduction, remains an area of research interest. Distinct from known genetic, physiologic, and dosage associations dictating severity of hepatic injury, no known factors predict an absence of protein adduct formation at therapeutic APAP dosing.

Hypothesis: Sex-based physiology is predictive of APAP-induced protein adduct formation and differential metabolite expression at therapeutic doses.

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Background: Although biological males and females are equally likely to become infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), evidence has mounted that males experience higher severity and fatality compared to females. MAIN: The objective of this review is to examine the existing literature on biological mechanisms underlying sex-based differences that could contribute to SARS-CoV-2 infection clinical outcomes. Sex-based differences in immunologic response and hormonal expression help explain the differences in coronavirus disease 2019 (COVID-19) outcomes observed in biological males and females.

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Article Synopsis
  • The study explores how DNA methylation patterns in COVID-19 patients can differentiate them from healthy individuals and forecast disease severity.
  • Customization of a specialized DNA methylation array allowed researchers to analyze blood samples, revealing thousands of significant methylation sites linked to immune response and viral activity.
  • Machine learning models showed high accuracy in predicting patient outcomes, highlighting the potential of using these epigenetic markers for improved diagnosis and prognosis in COVID-19 cases.
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Article Synopsis
  • The study investigates DNA methylation as a potential biomarker for distinguishing between SARS-CoV-2 infected patients and uninfected controls, with implications for predicting disease severity.
  • Using a customized Illumina methylation array, researchers analyzed blood samples from 164 COVID-19 patients and 296 controls, identifying over 13,000 significant methylation sites linked to immune response pathways.
  • Machine learning models demonstrated high predictive accuracy for determining case status and likelihood of severe outcomes, highlighting the relevance of epigenetic signatures in diagnosing and forecasting COVID-19 progression.
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Objectives: There are limited non-invasive methods to assess lower extremity arterial injuries in the emergency department (ED) and pre-hospital setting. The ankle-brachial index (ABI) requires careful auscultation by Doppler, an approach made difficult in noisy environments. We sought to determine the agreement of the ABI measured using the pulse oximeter plethysmograph waveform (Pleth) with auscultation by Doppler in a controlled setting.

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Newborn screening programmes began in the 1960s, have traditionally been conducted without parental permission and have grown dramatically in the last decade. Whether these programmes serve patients' best interests has recently become a point of controversy. Privacy advocates, concerned that newborn screening infringes upon individual liberties, are demanding fundamental changes to these programmes.

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