Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients-March 2022-April 2023.
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| Title: | Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients-March 2022-April 2023. |
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| Authors: | Bui DP; Veterans Affairs Portland Health Care System, Portland, Oregon, United States of America.; Center of Innovation to Improve Veteran Involvement in Care (CIVIC), Veterans Affairs Portland Healthcare System, Portland, Oregon, United States of America., Bajema KL; Veterans Affairs Portland Health Care System, Portland, Oregon, United States of America.; Division of Infectious Diseases, Department of Medicine, Oregon Health & Science University, Portland, Oregon, United States of America., Huang Y; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America., Yan L; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America., Li Y; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America., Rajeevan N; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America., Berry K; Research and Development, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, United States of America., Rowneki M; Center of Innovation to Improve Veteran Involvement in Care (CIVIC), Veterans Affairs Portland Healthcare System, Portland, Oregon, United States of America., Argraves S; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America., Hynes DM; Center of Innovation to Improve Veteran Involvement in Care (CIVIC), Veterans Affairs Portland Healthcare System, Portland, Oregon, United States of America.; Health Management and Policy, School of Social and Behavioral Health Sciences, College of Health, Health Data and Informatics Program, Center for Quantitative Life Sciences, Oregon State University, Corvallis, Oregon, United States of America., Huang G; Office of Research and Development, Veterans Health Administration, Washington, District of Columbia, United States of America., Aslan M; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.; Office of Research and Development, Veterans Health Administration, Washington, District of Columbia, United States of America., Ioannou GN; Research and Development, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, United States of America.; Divisions of Gastroenterology, Veterans Affairs Puget Sound Healthcare System and University of Washington, Seattle, Washington, United States of America. |
| Source: | PloS one [PLoS One] 2024 Oct 04; Vol. 19 (10), pp. e0307235. Date of Electronic Publication: 2024 Oct 04 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| 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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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 39365775 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients-March 2022-April 2023. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bui+DP%22">Bui DP</searchLink>; Veterans Affairs Portland Health Care System, Portland, Oregon, United States of America.; Center of Innovation to Improve Veteran Involvement in Care (CIVIC), Veterans Affairs Portland Healthcare System, Portland, Oregon, United States of America.<br /><searchLink fieldCode="AU" term="%22Bajema+KL%22">Bajema KL</searchLink>; Veterans Affairs Portland Health Care System, Portland, Oregon, United States of America.; Division of Infectious Diseases, Department of Medicine, Oregon Health & Science University, Portland, Oregon, United States of America.<br /><searchLink fieldCode="AU" term="%22Huang+Y%22">Huang Y</searchLink>; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Yan+L%22">Yan L</searchLink>; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.; Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Li+Y%22">Li Y</searchLink>; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Rajeevan+N%22">Rajeevan N</searchLink>; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Berry+K%22">Berry K</searchLink>; Research and Development, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, United States of America.<br /><searchLink fieldCode="AU" term="%22Rowneki+M%22">Rowneki M</searchLink>; Center of Innovation to Improve Veteran Involvement in Care (CIVIC), Veterans Affairs Portland Healthcare System, Portland, Oregon, United States of America.<br /><searchLink fieldCode="AU" term="%22Argraves+S%22">Argraves S</searchLink>; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.<br /><searchLink fieldCode="AU" term="%22Hynes+DM%22">Hynes DM</searchLink>; Center of Innovation to Improve Veteran Involvement in Care (CIVIC), Veterans Affairs Portland Healthcare System, Portland, Oregon, United States of America.; Health Management and Policy, School of Social and Behavioral Health Sciences, College of Health, Health Data and Informatics Program, Center for Quantitative Life Sciences, Oregon State University, Corvallis, Oregon, United States of America.<br /><searchLink fieldCode="AU" term="%22Huang+G%22">Huang G</searchLink>; Office of Research and Development, Veterans Health Administration, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Aslan+M%22">Aslan M</searchLink>; Veterans Affairs Cooperative Studies Program Clinical Epidemiology Research Center (CSP CERC), Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America.; Office of Research and Development, Veterans Health Administration, Washington, District of Columbia, United States of America.<br /><searchLink fieldCode="AU" term="%22Ioannou+GN%22">Ioannou GN</searchLink>; Research and Development, Veterans Affairs Puget Sound Health Care System, Seattle, Washington, United States of America.; Divisions of Gastroenterology, Veterans Affairs Puget Sound Healthcare System and University of Washington, Seattle, Washington, United States of America. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2024 Oct 04; Vol. 19 (10), pp. e0307235. <i>Date of Electronic Publication: </i>2024 Oct 04 (<i>Print Publication: </i>2024). – 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="%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=39365775 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0307235 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0307235 Titles: – TitleFull: Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients-March 2022-April 2023. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bui DP – PersonEntity: Name: NameFull: Bajema KL – PersonEntity: Name: NameFull: Huang Y – PersonEntity: Name: NameFull: Yan L – PersonEntity: Name: NameFull: Li Y – PersonEntity: Name: NameFull: Rajeevan N – PersonEntity: Name: NameFull: Berry K – PersonEntity: Name: NameFull: Rowneki M – PersonEntity: Name: NameFull: Argraves S – PersonEntity: Name: NameFull: Hynes DM – PersonEntity: Name: NameFull: Huang G – PersonEntity: Name: NameFull: Aslan M – PersonEntity: Name: NameFull: Ioannou GN IsPartOfRelationships: – BibEntity: Dates: – D: 04 M: 10 Text: 2024 Oct 04 Type: published Y: 2024 Identifiers: – Type: issn-electronic Value: 1932-6203 Numbering: – Type: volume Value: 19 – Type: issue Value: 10 Titles: – TitleFull: PloS one Type: main |
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