Showing results (951-960 of 1,647) with videos related to
Sort By:
Pageof 165
BMC Emergency Medicine|January 22, 2023
Incidence management system of the healthcare institutions for disaster management in Sri LankaNayani Umesha Rajapaksha, Chrishantha Abeysena, Aindralal Balasuriya, et al.BMC Emergency Medicine|December 26, 2022
Epidemiological pattern of trauma patients based on the mechanisms of trauma: trends of a regional trauma center in Midwest of IranGhodratollah Roshanaei, Sahar Khoshravesh, Sajjad Abdolmaleki, et al.BMC Emergency Medicine|July 7, 2022
Evaluation of the effectiveness and costs of inhaled methoxyflurane versus usual analgesia for prehospital injury and trauma: non-randomised clinical studyMurray D Smith, Elise Rowan, Robert Spaight, et al.BMC Emergency Medicine|June 29, 2021
Emergency department reorganisation to cope with COVID-19 outbreak in Milan university hospital: a time-sensitive challengeA Jachetti, G Colombo, B Brignolo-Ottolini, et al.BMC Emergency Medicine|June 22, 2021
Characteristics of visits and predictors of admission from a paediatric emergency room in Saudi ArabiaMohammad H Al-Qahtani, Abdullah A Yousef, Bassam H Awary, et al.BMC Emergency Medicine|July 4, 2021
Ultrasonography indicators for predicting difficult intubation: a systematic review and meta-analysisMehran Sotoodehnia, Hosein Rafiemanesh, Hadi Mirfazaelian, et al.BMC Emergency Medicine|July 6, 2021
Factors associated with survival in adult patients with traumatic arrest: a retrospective cohort study from US trauma centersAbdel-Badih Ariss, Rana Bachir, Mazen El SayedBMC Emergency Medicine|July 8, 2021
Study of C-reactive protein, procalcitonin, and immunocyte ratios in 194 patients with sepsisTian Tian, Bing Wei, Junyu WangBMC Emergency Medicine|July 8, 2021
Incidence of in-hospital cardiac arrest at general wards before and after implementation of an early warning scoreAndreas Creutzburg, Dan Isbye, Lars S RasmussenBMC Emergency Medicine|July 13, 2021
Predicting mortality among septic patients presenting to the emergency department-a cross sectional analysis using machine learningAdam Karlsson, Willem Stassen, Amy Loutfi, et al.Pageof 165