Publications by authors named "Dawn Jennings"

Article Synopsis
  • The study aims to evaluate how effectively the thickness of different macular retinal layers can differentiate glaucomatous eyes and glaucoma suspects from healthy eyes using optical coherence tomography (OCT).
  • The findings reveal that the nerve fiber layer (NFL) and ganglion cell layer (GCL) have the best diagnostic accuracy, with the ganglion cell complex (GCC) performing similarly, while the inner plexiform layer (IPL) is less effective. The combination of NFL or GCL yields the highest sensitivity and overall diagnostic performance.
  • The results underscore the necessity of assessing individual retinal layers rather than relying solely on combined metrics, as the best-performing layers can vary based on the specific area of the retina
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Purpose: To compare parameters of electroretinogram (ERG) responses for their ability to detect functional loss in early stages of nonhuman primate (NHP) experimental glaucoma (EG), including photopic negative responses (PhNR) to a standard brief red flash on a blue background (R/B) and 200-ms-long R/B and white-on-white (W/W) flashes, to W/W flicker stimuli (5-50 Hz), and to a dark-adapted intensity series.

Methods: Light-adapted ERGs were recorded in 12 anesthetized monkeys with unilateral EG. Amplitudes and implicit times of the a-wave, b-wave, and d-wave were measured, as well as amplitudes of PhNRs and oscillatory potentials for flash onset and offset.

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Introduction: Pediatric sepsis is a leading cause of death among children. Electronic alert systems may improve early recognition but do not consistently result in timely interventions given the multitude of clinical presentations, lack of treatment consensus, standardized order sets, and inadequate interdisciplinary team-based communication. We conducted a quality improvement project to improve timely critical treatment of patients at risk for infection-related decompensation (IRD) through team-based communication and standardized treatment workflow.

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