Purpose: To model a prognostic score in patients with cardiogenic shock that incorporates catecholamine responsiveness and hemodynamics.
Methods: Assessment of the best accuracy of the score (CRASH score: Catecholamine Refractoriness and Assistance guide based on cardiogenic Shock Hemodynamics) to predict in-hospital mortality and/or extracorporeal life support, based on a retrospective study performed in a medical-surgical intensive care unit. We included 66 patients with cardiogenic shock from various etiologies. We modeled the CRASH score to be a simple score with the best accuracy to predict in-hospital mortality and/or extracorporeal life support. The CRASH score was defined as the cardiac power index (CPI) divided by the square root of 1 + inotropic score (IS, sum of different catecholamines pondered with their variable efficiency): CRASH score = CPI/square root (IS + 1).
Results: A CRASH score <0.0375 predicted death and/or extracorporeal life support with a sensitivity of 68% and a specificity of 92%. The area under the ROC curve was 0.851, achieving an overall accuracy of 0.833. The CRASH score had improved accuracy when compared with Simplified Acute Physiology, Sleeper, and CardSHOCK scores (p<0.05 for all). With a threshold of 0.300 we found even higher specificity (95%) at the price of decreased sensibility (52%) and accuracy.
Conclusions: In patients with cardiogenic shock, the CRASH score (= CPI/square root (IS + 1)) <0.0375 allowed patients at high risk of adverse outcome to be identified.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.5301/ijao.5000472 | DOI Listing |
Int J Emerg Med
January 2025
Trauma Centre, King Saud Medical City, Riyadh, Saudi Arabia.
Background: Traumatic head injuries (THIs) are among the leading cause of mortality and intensive care unit (ICU) admission in children worldwide. Most of the published literature concerning THIs arises predominantly from North America and Europe. However, only limited data about the incidence, characteristics and impact on children in Saudi Arabia exists.
View Article and Find Full Text PDFJ Surg Res
December 2024
Division of Acute Care Surgery, Department of Surgery, Kern Medical Center, Bakersfield, California. Electronic address:
Introduction: Automobile-pedestrian (AP) crashes can cause severe injuries and are increasing in frequency. We sought to determine factors contributing to severe injuries.
Methods: Patients ≥15 y with AP injuries admitted from January 1, 2020, through December 31, 2022, comprised the study population.
Am J Emerg Med
November 2024
Department of Pediatric Emergency Medicine, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Mail Code: 9063, Dallas, TX 75390, United States of America.
Background: Most injured children are initially seen at non-pediatric hospitals, then transferred to a pediatric trauma center for definitive care. Published outcomes of transferred children with blunt abdominal trauma (BAT) are sparse. Our objective is to describe this population and their disposition at a pediatric trauma center.
View Article and Find Full Text PDFN Z Med J
December 2024
Clinical Director, Te Manawa Taki Trauma System, Te Whatu Ora - Health New Zealand Waikato, Hamilton, Aotearoa New Zealand; Honorary Associate Professor, Faculty of Medical and Health Sciences, Surgery, University of Auckland, Aotearoa New Zealand.
Aim: To examine the ethnic variations in trauma hospitalisations in a health region of Aotearoa New Zealand over a 10-year period.
Methods: A retrospective, observational study utilised data from the Te Manawa Taki (TMT) regional trauma registry to identify individuals of all ages and injury severities who were hospitalised due to injuries between 2013 and 2022. This investigation focusses on the epidemiology of trauma, examining factors such as ethnicity, gender, Injury Severity Score (ISS) and injury characteristics.
J Med Internet Res
December 2024
Department of Nursing, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Background: Advanced cardiac life support (ACLS) skills are essential for nurses. During the COVID-19 pandemic, augmented reality (AR) technologies were incorporated into medical education to increase learning motivation and accessibility.
Objective: This study aims to determine whether AR for educational applications can significantly improve crash cart learning, learning motivation, cognitive load, and system usability.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!