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  • Therapeutic efficacy of zinc in the treatment of COVID-19 patients: A systematic review by Olivia Schimmel and Varna Taranikanti

    Therapeutic efficacy of zinc in the treatment of COVID-19 patients: A systematic review

    Olivia Schimmel and Varna Taranikanti

    Publication Date: 5-2-2022

    INTRODUCTION
    Novel therapeutic interventions are of utmost importance to alleviate the clinical symptoms caused by inflammation in COVID-19 patients. The beneficial role of zinc has been suggested due to its ability to mitigate the effects of the inflammatory cascade. Hence it has been hypothesized that patients with zinc deficiency may benefit symptomatically from treatment with zinc. The primary goal of this systematic review of randomized controlled trials conducted between February and March 2021 is to determine the efficacy of zinc as a treatment for COVID-19 infection.

  • What is the Incidence of QT Prolongation and Life-Threatening Arrhythmia Following IV Methadone Administration in Patients Undergoing Lumbar Fusion? by Gregory Smith, Richard W. Easton, Kuldeep Shah, Daniel Silvasi, Matthew Lipphardt, Julie George, Shengchuan Dai, Brian Williamson, Brady Vibert, Bradley Ahlgren, and Nicholas Papakonstantinou

    What is the Incidence of QT Prolongation and Life-Threatening Arrhythmia Following IV Methadone Administration in Patients Undergoing Lumbar Fusion?

    Gregory Smith, Richard W. Easton, Kuldeep Shah, Daniel Silvasi, Matthew Lipphardt, Julie George, Shengchuan Dai, Brian Williamson, Brady Vibert, Bradley Ahlgren, and Nicholas Papakonstantinou

    Publication Date: 5-2022

    Postoperative analgesia is a significant challenge following major spine surgery. Utilizing a combination of opioid and non-opioid medications, optimizing their analgesic benefits while decreasing unwanted side effects, has been an effective multi-modal strategy in an Enhanced Recovery After Surgery (ERAS) protocol.

  • Cardiac Arrest Patient Length of Stay and Survival in Michigan Hospitals by Jaemin Song, David A. Berger, James H. Paxton, Joseph B. Miller, Joshua Reynolds, Nai-Wei Chen, and Robert Swor

    Cardiac Arrest Patient Length of Stay and Survival in Michigan Hospitals

    Jaemin Song, David A. Berger, James H. Paxton, Joseph B. Miller, Joshua Reynolds, Nai-Wei Chen, and Robert Swor

    Publication Date: 5-2-2022

    INTRODUCTION
    Current guidelines recommend deferring prognostic decisions for at least 72 hours following admission after Out of Hospital cardiac arrest (OHCA). Most non-survivors experience withdrawal of life-sustaining therapy (WLST), and early WLST may adversely impact survival. We sought to characterize the hospital length of stay (LOS) and timing of Do Not Resuscitate (DNR) orders (as surrogates for WLST) to assess their relationship to survival following cardiac arrest.

  • Association of Gut Metabolomic Biomarkers with Sleeve Gastrectomy Weight-Loss Outcomes by Pamela Spicer, Wendy Miller, Kathryn Ziegler, and Stewart Graham

    Association of Gut Metabolomic Biomarkers with Sleeve Gastrectomy Weight-Loss Outcomes

    Pamela Spicer, Wendy Miller, Kathryn Ziegler, and Stewart Graham

    Publication Date: 5-2-2022

    INTRODUCTION
    Obesity is a prevalent health challenge with high morbidity and many associated chronic diseases. Sleeve gastrectomy is currently the predominant intervention for obesity. However, weight loss results are variable. The mechanisms and factors influencing this variability are not well understood. We evaluated the correlation of metabolomic biomarkers with weight-loss.

  • Development of A Deep Neural Network for Synthesis of Non-Contrast Cranial T1-Weighted Magnetic Resonance Imaging by Agueda M. Taylor, Evan Porter, and Thomas Guerrero

    Development of A Deep Neural Network for Synthesis of Non-Contrast Cranial T1-Weighted Magnetic Resonance Imaging

    Agueda M. Taylor, Evan Porter, and Thomas Guerrero

    Publication Date: 5-2-2022

    INTRODUCTION
    Although 122 out of 1000 people in the US have MRI’s done each year, there are over 4 million with contraindications that subsequently forgo the diagnostic benefits. Studies in recent years have implemented artificial intelligence (AI) algorithms such as deep neural networks (DNN) for production of synthetic medical imaging. The goals of this project are to develop a DNN, specifically a Generative Adversarial Network (GAN) that will predict synthetic Cranial T1 Weighted MRI from non-contrast CT, and to evaluate the model quality.

  • Ventricular assist device association in improving outcomes in patients resuscitated from out of hospital cardiac arrest by Julie Tram, Andrew Pressman, Nai-Wei Chen, David Berger, Joseph Miller, Robert Welch, Joshua Reynolds, James Pribble, Robert Swor, and CARES Surveillance Group

    Ventricular assist device association in improving outcomes in patients resuscitated from out of hospital cardiac arrest

    Julie Tram, Andrew Pressman, Nai-Wei Chen, David Berger, Joseph Miller, Robert Welch, Joshua Reynolds, James Pribble, Robert Swor, and CARES Surveillance Group

    Publication Date: 5-2-2022

    INTRODUCTION
    There has been continued debate on the efficacy of ventricular assist devices (VAD) on improving survival outcomes in post cardiac arrest patients.
    The objective of this study is to assess whether the use of VAD is associated with improved survival outcome in patients resuscitated from out-of-hospital cardiac arrest in Michigan.

  • Longitudinal metabolomics in the brain of mouse models with mild and severe traumatic brain injury by Ali Yilmaz, Sigal Liraz Zaltsman, Esther Shohami, Juozas Gordevicius, Jack E. Sherman, Ray Bahado-Singh, and Stewart F. Graham

    Longitudinal metabolomics in the brain of mouse models with mild and severe traumatic brain injury

    Ali Yilmaz, Sigal Liraz Zaltsman, Esther Shohami, Juozas Gordevicius, Jack E. Sherman, Ray Bahado-Singh, and Stewart F. Graham

    Publication Date: 9-16-2022

 
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