Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 4 of 4

Full-Text Articles in Medicine and Health Sciences

Device-Based Measures Of Maternal Physical Activity, Pregnancy Nocturnal Glucose, Postpartum Sleep, And Infant Adiposity, Bethany R. Hallenbeck Aug 2024

Device-Based Measures Of Maternal Physical Activity, Pregnancy Nocturnal Glucose, Postpartum Sleep, And Infant Adiposity, Bethany R. Hallenbeck

Doctoral Dissertations

This dissertation presents physical activity, sedentary behavior, and bedrest (sleep estimation) data from ActiGraph devices worn during pregnancy and postpartum. Analyses of these data consider how these behaviors may relate to each other and health outcomes in the mother and child. The research aims to bridge the gap in understanding the intricate relationship between physical activity health behaviors and maternal and infant health metrics during the critical phases of pregnancy and postpartum. For this work, we employed repeated measures mixed modelling and integrated device-based, research-grade, ActiGraph data with clinical measures and survey responses to elucidate the multifaceted dynamics influencing a …


Pediatric Streptococcal Pharyngitis Testing And Treatment Practices, Amanda Welch Jul 2023

Pediatric Streptococcal Pharyngitis Testing And Treatment Practices, Amanda Welch

Dissertations

Objective: The purpose of this pilot quality improvement study was to implement SmartPhrases and assess its impact on adherence to the Infectious Disease Society of America (IDSA) guideline for Group A Streptococcus (GAS) pharyngitis testing and treatment in pediatric patients ages 1-16 years old. The aim was to use SmartPhrases to improve adherence with the IDSA guideline by 30% for GAS pharyngitis swabbing and 10% for appropriate antibiotic prescribing in three months.

Methods: A retrospective data analysis approach was used, in reviewing SmartPhrases data from the electronic health records (EHR) in a metropolitan Urgent Care. This data were collected from …


The Role Of Micrornas In The Pathophysiology Of Neonatal Hypoxic-Ischemic Brain Injury, Eric S. Peeples Dec 2021

The Role Of Micrornas In The Pathophysiology Of Neonatal Hypoxic-Ischemic Brain Injury, Eric S. Peeples

Theses & Dissertations

Neonatal hypoxic-ischemic brain injury (HIBI) is a devastating injury resulting from impaired blood flow and oxygen delivery to the brain at or around the time of birth. The subsequent metabolic failure and cellular injury in the brain can be partially attenuated by rapid initiation of therapeutic hypothermia, but even with prompt induction of hypothermia, more than one in four survivors suffer from major developmental disabilities – an indication of the critical need for more effective therapies. MicroRNAs (miRNA) may be able to act as therapeutic targets in neonatal HIBI; however, very little is known about the endogenous expression of miRNAs …


Developing Deep-Learning Methods For Diagnosis And Prognosis Of Pediatric Progressive Diseases Using Modern Imaging Techniques, Mahdieh Shabanian Dec 2021

Developing Deep-Learning Methods For Diagnosis And Prognosis Of Pediatric Progressive Diseases Using Modern Imaging Techniques, Mahdieh Shabanian

Theses and Dissertations (ETD)

Purpose and Rationale. Central nervous system manifestations form a significant burden of disease in young children. There have been efforts to correlate the neurological disease state in tuberous sclerosis complex (TSC) neurological disease state with imaging findings is a standard part of patient care. However, such analysis of neuroimaging is time- and labor-intensive. Automated approaches to these tasks are needed to improve speed, accuracy, and availability. Automated medical image analysis tools based on 3D/2D deep learning algorithms can help improve the quality and consistency of image diagnosis and interpretation for cognitive disorders in infants. We propose to automate neuroimaging analysis …