Predicting severe COVID-19 disease in adults: A single-centre cohort study during the first three pandemic waves in 2020-2021 in Vilnius, Lithuania.
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| Title: | Predicting severe COVID-19 disease in adults: A single-centre cohort study during the first three pandemic waves in 2020-2021 in Vilnius, Lithuania. |
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| Authors: | Kubiliute I; Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania., Zaboras E; Faculty of Medicine, Vilnius University, Vilnius, Lithuania., Majauskaite F; Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania., Urboniene J; Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania., Zablockiene B; Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania., Gefenaite G; Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden., Mickiene A; Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania., Jancoriene L; Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania. |
| Source: | PloS one [PLoS One] 2026 May 29; Vol. 21 (5), pp. e0350112. Date of Electronic Publication: 2026 May 29 (Print Publication: 2026). |
| Publication Type: | Journal Article; Observational Study |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42213699 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Predicting severe COVID-19 disease in adults: A single-centre cohort study during the first three pandemic waves in 2020-2021 in Vilnius, Lithuania. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kubiliute+I%22">Kubiliute I</searchLink>; Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.<br /><searchLink fieldCode="AU" term="%22Zaboras+E%22">Zaboras E</searchLink>; Faculty of Medicine, Vilnius University, Vilnius, Lithuania.<br /><searchLink fieldCode="AU" term="%22Majauskaite+F%22">Majauskaite F</searchLink>; Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.<br /><searchLink fieldCode="AU" term="%22Urboniene+J%22">Urboniene J</searchLink>; Centre of Infectious Diseases, Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.<br /><searchLink fieldCode="AU" term="%22Zablockiene+B%22">Zablockiene B</searchLink>; Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania.<br /><searchLink fieldCode="AU" term="%22Gefenaite+G%22">Gefenaite G</searchLink>; Department of Health Sciences, Faculty of Medicine, Lund University, Lund, Sweden.<br /><searchLink fieldCode="AU" term="%22Mickiene+A%22">Mickiene A</searchLink>; Department of Infectious Diseases, Lithuanian University of Health Sciences, Kaunas, Lithuania.<br /><searchLink fieldCode="AU" term="%22Jancoriene+L%22">Jancoriene L</searchLink>; Clinic of Infectious Diseases and Dermatovenerology, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 May 29; Vol. 21 (5), pp. e0350112. <i>Date of Electronic Publication: </i>2026 May 29 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Observational Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101285081 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1932-6203 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2219326203%22">19326203 </searchLink><i>NLM ISO Abbreviation: </i>PLoS One <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42213699 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0350112 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0350112 Titles: – TitleFull: Predicting severe COVID-19 disease in adults: A single-centre cohort study during the first three pandemic waves in 2020-2021 in Vilnius, Lithuania. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kubiliute I – PersonEntity: Name: NameFull: Zaboras E – PersonEntity: Name: NameFull: Majauskaite F – PersonEntity: Name: NameFull: Urboniene J – PersonEntity: Name: NameFull: Zablockiene B – PersonEntity: Name: NameFull: Gefenaite G – PersonEntity: Name: NameFull: Mickiene A – PersonEntity: Name: NameFull: Jancoriene L IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 05 Text: 2026 May 29 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 21 – Type: issue Value: 5 Titles: – TitleFull: PloS one Type: main |
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