Medicine and Health Sciences Commons^™

Ten Steps Toward Improving In-Hospital Cardiac Arrest Quality Of Care And Outcomes, Brahmajee K. Nallamothu, Robert Greif, Theresa Anderson, Huba Atiq, Thomaz Bittencourt Couto, Julie Considine, Allan R De Caen, Therese Djärv, Ann Doll, Matthew J. Douma

Department of Anaesthesia

No abstract provided.

Timing Of Invasive Mechanical Ventilation And Death In Critically Ill Adults With Covid-19: A Multicenter Cohort Study., Adam Green, Jean-Sebastien Rachoin, Christa Schorr, Phil Dellinger, Jonathan D Casey, Isabel Park, Shruti Gupta, Rebecca M Baron, Shahzad Shaefi, Krystal Hunter, David E Leaf

Cooper Medical School of Rowan University Faculty Scholarship

PURPOSE: To investigate if the timing of initiation of invasive mechanical ventilation (IMV) for critically ill patients with COVID-19 is associated with mortality.

MATERIALS AND METHODS: The data for this study were derived from a multicenter cohort study of critically ill adults with COVID-19 admitted to ICUs at 68 hospitals across the US from March 1 to July 1, 2020. We examined the association between early (ICU days 1-2) versus late (ICU days 3-7) initiation of IMV and time-to-death. Patients were followed until the first of hospital discharge, death, or 90 days. We adjusted for confounding using a multivariable Cox …

Critical Review Of Oncologic Medical Malpractice Claims Against Orthopaedic Surgeons, William Davis, Shravya Kichena, Michael D Eckhoff, Benjamin R Childs, Rajiv Rajani, Matthew E Wells, Sean P Kelly

Journal Articles

INTRODUCTION: The purpose of this study was to determine the most common allegations for malpractice litigation brought against orthopaedic surgeons for oncologic matters and the resulting verdicts.

METHODS: The Westlaw Legal research database was queried for malpractice cases filed against orthopaedic surgeons for oncologic matters in the United States after 1980. Plaintiff demographics, state of filing, allegations, and outcomes of lawsuits were recorded and reported accordingly.

RESULTS: A total of 36 cases met the inclusion and exclusion criteria and were subsequently included in the final analysis. The overall rate of cases filed remained consistent through the past four decades and …

Henry Gas Solubility Optimization Double Machine Learning Classifier For Neurosurgical Patients, Diana T Mosa, Amena Mahmoud, John Zaki, Shaymaa E Sorour, Shaker El-Sappagh, Tamer Abuhmed

Journal Articles

This study aims to predict head trauma outcome for Neurosurgical patients in children, adults, and elderly people. As Machine Learning (ML) algorithms are helpful in healthcare field, a comparative study of various ML techniques is developed. Several algorithms are utilized such as k-nearest neighbor, Random Forest (RF), C4.5, Artificial Neural Network, and Support Vector Machine (SVM). Their performance is assessed using anonymous patients' data. Then, a proposed double classifier based on Henry Gas Solubility Optimization (HGSO) is developed with Aquila optimizer (AQO). It is implemented for feature selection to classify patients' outcome status into four states. Those are mortality, morbidity, …