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.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39964580 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Maghsoudi+MR%22">Maghsoudi MR</searchLink>; Department of Emergency Medicine & Toxicology, Alborz University of Medical Sciences, Karaj, Iran.<br /><searchLink fieldCode="AU" term="%22Alirezaei+A%22">Alirezaei A</searchLink>; Clinical Research and Development Center, Department of Nephrology, Shahid Modarres Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran. amirhesam124@gmail.com.<br /><searchLink fieldCode="AU" term="%22Soltanzadi+A%22">Soltanzadi A</searchLink>; School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.<br /><searchLink fieldCode="AU" term="%22Aghajanian+S%22">Aghajanian S</searchLink>; School of Medicine, Alborz University of Medical Sciences, Karaj, Iran. Sepehraghajanian2@gmail.com.<br /><searchLink fieldCode="AU" term="%22Naeimi+A%22">Naeimi A</searchLink>; Student Research Committee, School of Medicine, Guilan University of Medical Sciences, Rasht, Gilan, Iran.<br /><searchLink fieldCode="AU" term="%22Bahadori+Monfared+A%22">Bahadori Monfared A</searchLink>; Department of Health & Community Medicine, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.<br /><searchLink fieldCode="AU" term="%22Mohammadifard+F%22">Mohammadifard F</searchLink>; School of Medicine, Alborz University of Medical Sciences, Karaj, Iran.<br /><searchLink fieldCode="AU" term="%22Bakhtiyari+M%22">Bakhtiyari M</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229431227%22">Emergency radiology</searchLink> [Emerg Radiol] 2025 Apr; Vol. 32 (2), pp. 255-266. <i>Date of Electronic Publication: </i>2025 Feb 18. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer-Verlag+New+York+Inc%22">Springer-Verlag New York Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9431227 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1438-1435 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210703004%22">10703004 </searchLink><i>NLM ISO Abbreviation: </i>Emerg Radiol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39964580 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10140-025-02320-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 255 Titles: – TitleFull: 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. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Maghsoudi MR – PersonEntity: Name: NameFull: Alirezaei A – PersonEntity: Name: NameFull: Soltanzadi A – PersonEntity: Name: NameFull: Aghajanian S – PersonEntity: Name: NameFull: Naeimi A – PersonEntity: Name: NameFull: Bahadori Monfared A – PersonEntity: Name: NameFull: Mohammadifard F – PersonEntity: Name: NameFull: Bakhtiyari M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2025 Apr Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1438-1435 Numbering: – Type: volume Value: 32 – Type: issue Value: 2 Titles: – TitleFull: Emergency radiology Type: main |
| ResultId | 1 |