Prognostication and integration of bedside lung ultrasound and computed tomography imaging findings with clinical features to Predict COVID-19 In-hospital mortality and ICU admission.

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Bibliographic Details
Title: Prognostication and integration of bedside lung ultrasound and computed tomography imaging findings with clinical features to Predict COVID-19 In-hospital mortality and ICU admission.
Authors: Maghsoudi MR; Department of Emergency Medicine & Toxicology, Alborz University of Medical Sciences, Karaj, Iran., Alirezaei A; Clinical Research and Development Center, Department of Nephrology, Shahid Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. amirhesam124@gmail.com., Soltanzadi A; School of Medicine, Alborz University of Medical Sciences, Karaj, Iran., Aghajanian S; School of Medicine, Alborz University of Medical Sciences, Karaj, Iran. Sepehraghajanian2@gmail.com., Naeimi A; Student Research Committee, School of Medicine, Guilan University of Medical Sciences, Rasht, Gilan, Iran., Bahadori Monfared A; Department of Health & Community Medicine, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran., Mohammadifard F; School of Medicine, Alborz University of Medical Sciences, Karaj, Iran., Bakhtiyari M; Department of Community Medicine, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.; Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Source: Emergency radiology [Emerg Radiol] 2025 Apr; Vol. 32 (2), pp. 255-266. Date of Electronic Publication: 2025 Feb 18.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag New York Inc Country of Publication: United States NLM ID: 9431227 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1438-1435 (Electronic) Linking ISSN: 10703004 NLM ISO Abbreviation: Emerg Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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