Publications by authors named "Soeyun Park"

Article Synopsis
  • - The current tools for predicting mortality after trauma, like the Injury Severity Score (ISS), are not effective for traumatic spinal cord injury (tSCI), prompting the need for a better method.
  • - A new prognostic tool called the Spinal Cord Injury Risk Score (SCIRS) was developed using machine learning on data from over 1,200 tSCI patients to improve mortality prediction based on various injury characteristics.
  • - Results show the SCIRS significantly outperforms the ISS in predicting both in-hospital and one-year mortality rates for tSCI, indicating its potential as a valuable resource in clinical and research settings.
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High fat, low carbohydrate ketogenic diets (KD) are validated non-pharmacological treatments for some forms of drug-resistant epilepsy. Ketones reduce neuronal excitation and promote neuroprotection. Here, we investigated the efficacy of KD as a treatment for acute cervical spinal cord injury (SCI) in rats.

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The majority of clinical spinal cord injuries (SCIs) are contusive and occur at the cervical level of the spinal cord. Most scientists and clinicians agree that the preclinical evaluation of novel candidate treatments should include testing in a cervical SCI contusion model. Because mice are increasingly used because of the availability of genetically engineered lines, we characterized a novel cervical hemicontusion injury in mice using the Infinite Horizon Spinal Cord Impactor (Precisions Systems & Instrumentation, Lexington, KY).

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