Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.

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Title: Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.
Authors: Sokolski M; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland. matsok@gmail.com., Trenson S; Department of Cardiology, Sint-Jan Hospital Bruges, Bruges, Belgium., Reszka K; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland., Urban S; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland., Sokolska JM; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland., Biering-Sørensen T; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark., Højbjerg Lassen MC; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark., Skaarup KG; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark., Basic C; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Mandalenakis Z; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Ablasser K; Division of Cardiology, Medical University of Graz, Austria., Rainer PP; Division of Cardiology, Medical University of Graz, Austria., Wallner M; Division of Cardiology, Medical University of Graz, Austria.; Cardiovascular Research Center, Lewis Katz School of Medicine, Temple University, Philadelphia, United States.; Center for Biomarker Research in Medicine, CBmed GmbH, Graz, Austria., Rossi VA; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland., Lilliu M; Division of Infectious Diseases, Azienda ULSS 9, M. Magalini Hospital, Villafranca di Verona, Verona, Italy., Loncar G; Institute for Cardiovascular Diseases Dedinje, Faculty of Medicine, University of Belgrade, Belgrade, Serbia., Cakmak HA; Department of Cardiology, Mustafakemalpasa State Hospital, Bursa, Türkiye., Ruschitzka F; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland., Flammer AJ; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland.
Source: Cardiology journal [Cardiol J] 2024; Vol. 31 (4), pp. 512-521. Date of Electronic Publication: 2024 Jun 04.
Publication Type: Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Via Medica Country of Publication: Poland NLM ID: 101392712 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1898-018X (Electronic) Linking ISSN: 1898018X NLM ISO Abbreviation: Cardiol J Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.
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  Data: <searchLink fieldCode="AU" term="%22Sokolski+M%22">Sokolski M</searchLink>; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland. matsok@gmail.com.<br /><searchLink fieldCode="AU" term="%22Trenson+S%22">Trenson S</searchLink>; Department of Cardiology, Sint-Jan Hospital Bruges, Bruges, Belgium.<br /><searchLink fieldCode="AU" term="%22Reszka+K%22">Reszka K</searchLink>; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland.<br /><searchLink fieldCode="AU" term="%22Urban+S%22">Urban S</searchLink>; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland.<br /><searchLink fieldCode="AU" term="%22Sokolska+JM%22">Sokolska JM</searchLink>; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland.<br /><searchLink fieldCode="AU" term="%22Biering-Sørensen+T%22">Biering-Sørensen T</searchLink>; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Højbjerg+Lassen+MC%22">Højbjerg Lassen MC</searchLink>; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Skaarup+KG%22">Skaarup KG</searchLink>; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Basic+C%22">Basic C</searchLink>; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.<br /><searchLink fieldCode="AU" term="%22Mandalenakis+Z%22">Mandalenakis Z</searchLink>; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.<br /><searchLink fieldCode="AU" term="%22Ablasser+K%22">Ablasser K</searchLink>; Division of Cardiology, Medical University of Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Rainer+PP%22">Rainer PP</searchLink>; Division of Cardiology, Medical University of Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Wallner+M%22">Wallner M</searchLink>; Division of Cardiology, Medical University of Graz, Austria.; Cardiovascular Research Center, Lewis Katz School of Medicine, Temple University, Philadelphia, United States.; Center for Biomarker Research in Medicine, CBmed GmbH, Graz, Austria.<br /><searchLink fieldCode="AU" term="%22Rossi+VA%22">Rossi VA</searchLink>; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Lilliu+M%22">Lilliu M</searchLink>; Division of Infectious Diseases, Azienda ULSS 9, M. Magalini Hospital, Villafranca di Verona, Verona, Italy.<br /><searchLink fieldCode="AU" term="%22Loncar+G%22">Loncar G</searchLink>; Institute for Cardiovascular Diseases Dedinje, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.<br /><searchLink fieldCode="AU" term="%22Cakmak+HA%22">Cakmak HA</searchLink>; Department of Cardiology, Mustafakemalpasa State Hospital, Bursa, Türkiye.<br /><searchLink fieldCode="AU" term="%22Ruschitzka+F%22">Ruschitzka F</searchLink>; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland.<br /><searchLink fieldCode="AU" term="%22Flammer+AJ%22">Flammer AJ</searchLink>; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland.
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  Data: <searchLink fieldCode="JN" term="%22101392712%22">Cardiology journal</searchLink> [Cardiol J] 2024; Vol. 31 (4), pp. 512-521. <i>Date of Electronic Publication: </i>2024 Jun 04.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Via+Medica%22">Via Medica </searchLink><i>Country of Publication: </i>Poland <i>NLM ID: </i>101392712 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1898-018X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221898018X%22">1898018X </searchLink><i>NLM ISO Abbreviation: </i>Cardiol J <i>Subsets: </i>MEDLINE
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