Tocilizumab Outcomes in Critically Ill COVID-19 Patients Admitted to the ICU and the Role of Non-Tocilizumab COVID-19-Specific Medical Therapeutics.

Background: Tocilizumab is a monoclonal antibody proposed to manage cytokine release syndrome (CRS) associated with severe COVID-19. Previously published reports have shown that tocilizumab may improve the clinical outcomes of critically ill patients admitted to the ICU. However, no precise data about the role of other medical therapeutics concurrently used for COVID-19 on this outcome have been published.

Machine learning decision tree algorithm role for predicting mortality in critically ill adult COVID-19 patients admitted to the ICU.

Background: Coronavirus disease-19 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and is currently a major cause of intensive care unit (ICU) admissions globally. The role of machine learning in the ICU is evolving but currently limited to diagnostic and prognostic values. A decision tree (DT) algorithm is a simple and intuitive machine learning method that provides sequential nonlinear analysis of variables.

Is there a misuse of computed tomography in the diagnostic workup of headache? A retrospective record-based study in secondary health-care facility in Saudi Arabia.

Introduction: Headache disorders are one of the most prevalent global public-health problems that require placing high demand on health-care Services. Since it is one of the most frequent complaints in clinical practice worldwide, it causes a considerable burden in terms of the social cost. The study aimed to give a guide for the decision on the utilization of computed tomography (CT) in the diagnostic workup and identify if patients require neurological imaging (CT) for proper diagnosis or not.