Variations in end‐of‐life care practices in older critically ill patients with COVID‐19 in Europe
Background Previous studies reported regional differences in end‐of‐life care (EoLC) for critically ill patients in Europe. Objectives The purpose of this post‐hoc analysis of the prospective multicentre COVIP study was to investigate variations in EoLC practices among older patients in intensive ca...
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Veröffentlicht in: | Journal of Internal Medicine 2022-09, Vol.292 (3), p.438-449 |
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creator | Wernly, Bernhard Rezar, Richard Flaatten, Hans Beil, Michael Fjølner, Jesper Bruno, Raphael R. Artigas, Antonio Pinto, Bernardo B. Schefold, Joerg C. Kelm, Malte Sigal, Sviri Heerden, Peter V. Szczeklik, Wojciech Elhadi, Muhammed Joannidis, Michael Oeyen, Sandra Wolff, Georg Marsh, Brian Andersen, Finn H. Moreno, Rui Leaver, Susannah Wernly, Sarah Boumendil, Ariane De Lange, Dylan W. Guidet, Bertrand Jung, Christian |
description | Background
Previous studies reported regional differences in end‐of‐life care (EoLC) for critically ill patients in Europe.
Objectives
The purpose of this post‐hoc analysis of the prospective multicentre COVIP study was to investigate variations in EoLC practices among older patients in intensive care units during the coronavirus disease 2019 pandemic.
Methods
A total of 3105 critically ill patients aged 70 years and older were enrolled in this study (Central Europe: n = 1573; Northern Europe: n = 821; Southern Europe: n = 711). Generalised estimation equations were used to calculate adjusted odds ratios (aORs) to population averages. Data were adjusted for patient‐specific variables (demographic, disease‐specific) and health economic data (gross domestic product, health expenditure per capita). The primary outcome was any treatment limitation, and 90‐day mortality was a secondary outcome.
Results
The frequency of the primary endpoint (treatment limitation) was highest in Northern Europe (48%), intermediate in Central Europe (39%) and lowest in Southern Europe (24%). The likelihood for treatment limitations was lower in Southern than in Central Europe (aOR 0.39; 95% confidence interval [CI] 0.21–0.73; p = 0.004), even after multivariable adjustment, whereas no statistically significant differences were observed between Northern and Central Europe (aOR 0.57; 95%CI 0.27–1.22; p = 0.15). After multivariable adjustment, no statistically relevant mortality differences were found between Northern and Central Europe (aOR 1.29; 95%CI 0.80–2.09; p = 0.30) or between Southern and Central Europe (aOR 1.07; 95%CI 0.66–1.73; p = 0.78).
Conclusion
This study shows a north‐to‐south gradient in rates of treatment limitation in Europe, highlighting the heterogeneity of EoLC practices across countries. However, mortality rates were not affected by these results.
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doi_str_mv | 10.1111/joim.13492 |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9115222</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2649255067</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4822-406e002592f5ce6095a6b2c56a1e573b67364cfe3c956e021ce9e116ab9549d63</originalsourceid><addsrcrecordid>eNp9kc1uEzEUhS0EomlgwwOgkdgA0hT_jJ3xBqkKhQYFZQPdWo5zp3HkjFN7plV2fQSekSfhplMq6AIvbOn6u8f3-BDyitEThuvDJvrtCROV5k_IiAklSz7R6ikZUS2rUtWcHpHjnDeUMkEVfU6OhBS61lU9IpcXNnnb-djmwrcFtKtftz9jg1vwDRTOJih2ybrOO7gjYlhBKlzyWLEh7AsfQrFDBWi7XNz4bl1MFxezT6jA9KHhrE9xBy_Is8aGDC_vzzH58fns-_S8nC--zKan89JVNedlRRVQyqXmjXSg0IBVS-6ksgzkRCzVRKjKNSCclkhy5kADY8ou0apeKTEmHwfdXb_cwsrhVMkGs0t-a9PeROvNvzetX5vLeG00Y5JzjgLvBoH1o7bz07k51KiotWQ1v2bIvr1_LMWrHnJntj47CMG2EPtsuMJMpKQ49Zi8eYRuYp9a_Aqk9ERU6LVC6v1AuRRzTtA8TMCoOWRtDlmbu6wRfv231Qf0T7gIsAG48QH2_5EyXxezb4Pob6lOtfA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2697346094</pqid></control><display><type>article</type><title>Variations in end‐of‐life care practices in older critically ill patients with COVID‐19 in Europe</title><source>Wiley Free Content</source><source>Wiley Online Library Journals Frontfile Complete</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Wernly, Bernhard ; Rezar, Richard ; Flaatten, Hans ; Beil, Michael ; Fjølner, Jesper ; Bruno, Raphael R. ; Artigas, Antonio ; Pinto, Bernardo B. ; Schefold, Joerg C. ; Kelm, Malte ; Sigal, Sviri ; Heerden, Peter V. ; Szczeklik, Wojciech ; Elhadi, Muhammed ; Joannidis, Michael ; Oeyen, Sandra ; Wolff, Georg ; Marsh, Brian ; Andersen, Finn H. ; Moreno, Rui ; Leaver, Susannah ; Wernly, Sarah ; Boumendil, Ariane ; De Lange, Dylan W. ; Guidet, Bertrand ; Jung, Christian</creator><creatorcontrib>Wernly, Bernhard ; Rezar, Richard ; Flaatten, Hans ; Beil, Michael ; Fjølner, Jesper ; Bruno, Raphael R. ; Artigas, Antonio ; Pinto, Bernardo B. ; Schefold, Joerg C. ; Kelm, Malte ; Sigal, Sviri ; Heerden, Peter V. ; Szczeklik, Wojciech ; Elhadi, Muhammed ; Joannidis, Michael ; Oeyen, Sandra ; Wolff, Georg ; Marsh, Brian ; Andersen, Finn H. ; Moreno, Rui ; Leaver, Susannah ; Wernly, Sarah ; Boumendil, Ariane ; De Lange, Dylan W. ; Guidet, Bertrand ; Jung, Christian ; COVIP study group</creatorcontrib><description>Background
Previous studies reported regional differences in end‐of‐life care (EoLC) for critically ill patients in Europe.
Objectives
The purpose of this post‐hoc analysis of the prospective multicentre COVIP study was to investigate variations in EoLC practices among older patients in intensive care units during the coronavirus disease 2019 pandemic.
Methods
A total of 3105 critically ill patients aged 70 years and older were enrolled in this study (Central Europe: n = 1573; Northern Europe: n = 821; Southern Europe: n = 711). Generalised estimation equations were used to calculate adjusted odds ratios (aORs) to population averages. Data were adjusted for patient‐specific variables (demographic, disease‐specific) and health economic data (gross domestic product, health expenditure per capita). The primary outcome was any treatment limitation, and 90‐day mortality was a secondary outcome.
Results
The frequency of the primary endpoint (treatment limitation) was highest in Northern Europe (48%), intermediate in Central Europe (39%) and lowest in Southern Europe (24%). The likelihood for treatment limitations was lower in Southern than in Central Europe (aOR 0.39; 95% confidence interval [CI] 0.21–0.73; p = 0.004), even after multivariable adjustment, whereas no statistically significant differences were observed between Northern and Central Europe (aOR 0.57; 95%CI 0.27–1.22; p = 0.15). After multivariable adjustment, no statistically relevant mortality differences were found between Northern and Central Europe (aOR 1.29; 95%CI 0.80–2.09; p = 0.30) or between Southern and Central Europe (aOR 1.07; 95%CI 0.66–1.73; p = 0.78).
Conclusion
This study shows a north‐to‐south gradient in rates of treatment limitation in Europe, highlighting the heterogeneity of EoLC practices across countries. However, mortality rates were not affected by these results.
</description><identifier>ISSN: 0954-6820</identifier><identifier>EISSN: 1365-2796</identifier><identifier>DOI: 10.1111/joim.13492</identifier><identifier>PMID: 35398948</identifier><language>eng</language><publisher>England: Blackwell Publishing Ltd</publisher><subject>Confidence intervals ; Coronaviruses ; COVID-19 ; critical care ; Demographic variables ; frail elderly ; Heterogeneity ; Hospitals ; Intensive care units ; Life Sciences ; Mathematical analysis ; Mortality ; Original ; Pandemics ; Patients ; public health systems research ; resuscitation orders ; Statistical analysis ; Viral diseases</subject><ispartof>Journal of Internal Medicine, 2022-09, Vol.292 (3), p.438-449</ispartof><rights>2022 The Authors. published by John Wiley & Sons Ltd on behalf of Association for Publication of The Journal of Internal Medicine.</rights><rights>2022 The Authors. Journal of Internal Medicine published by John Wiley & Sons Ltd on behalf of Association for Publication of The Journal of Internal Medicine.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4822-406e002592f5ce6095a6b2c56a1e573b67364cfe3c956e021ce9e116ab9549d63</citedby><cites>FETCH-LOGICAL-c4822-406e002592f5ce6095a6b2c56a1e573b67364cfe3c956e021ce9e116ab9549d63</cites><orcidid>0000-0003-4024-0220 ; 0000-0001-9264-3115 ; 0000-0002-7118-501X ; 0000-0003-3776-3530 ; 0000-0002-7643-6770</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fjoim.13492$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fjoim.13492$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35398948$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.sorbonne-universite.fr/hal-03895182$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Wernly, Bernhard</creatorcontrib><creatorcontrib>Rezar, Richard</creatorcontrib><creatorcontrib>Flaatten, Hans</creatorcontrib><creatorcontrib>Beil, Michael</creatorcontrib><creatorcontrib>Fjølner, Jesper</creatorcontrib><creatorcontrib>Bruno, Raphael R.</creatorcontrib><creatorcontrib>Artigas, Antonio</creatorcontrib><creatorcontrib>Pinto, Bernardo B.</creatorcontrib><creatorcontrib>Schefold, Joerg C.</creatorcontrib><creatorcontrib>Kelm, Malte</creatorcontrib><creatorcontrib>Sigal, Sviri</creatorcontrib><creatorcontrib>Heerden, Peter V.</creatorcontrib><creatorcontrib>Szczeklik, Wojciech</creatorcontrib><creatorcontrib>Elhadi, Muhammed</creatorcontrib><creatorcontrib>Joannidis, Michael</creatorcontrib><creatorcontrib>Oeyen, Sandra</creatorcontrib><creatorcontrib>Wolff, Georg</creatorcontrib><creatorcontrib>Marsh, Brian</creatorcontrib><creatorcontrib>Andersen, Finn H.</creatorcontrib><creatorcontrib>Moreno, Rui</creatorcontrib><creatorcontrib>Leaver, Susannah</creatorcontrib><creatorcontrib>Wernly, Sarah</creatorcontrib><creatorcontrib>Boumendil, Ariane</creatorcontrib><creatorcontrib>De Lange, Dylan W.</creatorcontrib><creatorcontrib>Guidet, Bertrand</creatorcontrib><creatorcontrib>Jung, Christian</creatorcontrib><creatorcontrib>COVIP study group</creatorcontrib><title>Variations in end‐of‐life care practices in older critically ill patients with COVID‐19 in Europe</title><title>Journal of Internal Medicine</title><addtitle>J Intern Med</addtitle><description>Background
Previous studies reported regional differences in end‐of‐life care (EoLC) for critically ill patients in Europe.
Objectives
The purpose of this post‐hoc analysis of the prospective multicentre COVIP study was to investigate variations in EoLC practices among older patients in intensive care units during the coronavirus disease 2019 pandemic.
Methods
A total of 3105 critically ill patients aged 70 years and older were enrolled in this study (Central Europe: n = 1573; Northern Europe: n = 821; Southern Europe: n = 711). Generalised estimation equations were used to calculate adjusted odds ratios (aORs) to population averages. Data were adjusted for patient‐specific variables (demographic, disease‐specific) and health economic data (gross domestic product, health expenditure per capita). The primary outcome was any treatment limitation, and 90‐day mortality was a secondary outcome.
Results
The frequency of the primary endpoint (treatment limitation) was highest in Northern Europe (48%), intermediate in Central Europe (39%) and lowest in Southern Europe (24%). The likelihood for treatment limitations was lower in Southern than in Central Europe (aOR 0.39; 95% confidence interval [CI] 0.21–0.73; p = 0.004), even after multivariable adjustment, whereas no statistically significant differences were observed between Northern and Central Europe (aOR 0.57; 95%CI 0.27–1.22; p = 0.15). After multivariable adjustment, no statistically relevant mortality differences were found between Northern and Central Europe (aOR 1.29; 95%CI 0.80–2.09; p = 0.30) or between Southern and Central Europe (aOR 1.07; 95%CI 0.66–1.73; p = 0.78).
Conclusion
This study shows a north‐to‐south gradient in rates of treatment limitation in Europe, highlighting the heterogeneity of EoLC practices across countries. However, mortality rates were not affected by these results.
</description><subject>Confidence intervals</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>critical care</subject><subject>Demographic variables</subject><subject>frail elderly</subject><subject>Heterogeneity</subject><subject>Hospitals</subject><subject>Intensive care units</subject><subject>Life Sciences</subject><subject>Mathematical analysis</subject><subject>Mortality</subject><subject>Original</subject><subject>Pandemics</subject><subject>Patients</subject><subject>public health systems research</subject><subject>resuscitation orders</subject><subject>Statistical analysis</subject><subject>Viral diseases</subject><issn>0954-6820</issn><issn>1365-2796</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp9kc1uEzEUhS0EomlgwwOgkdgA0hT_jJ3xBqkKhQYFZQPdWo5zp3HkjFN7plV2fQSekSfhplMq6AIvbOn6u8f3-BDyitEThuvDJvrtCROV5k_IiAklSz7R6ikZUS2rUtWcHpHjnDeUMkEVfU6OhBS61lU9IpcXNnnb-djmwrcFtKtftz9jg1vwDRTOJih2ybrOO7gjYlhBKlzyWLEh7AsfQrFDBWi7XNz4bl1MFxezT6jA9KHhrE9xBy_Is8aGDC_vzzH58fns-_S8nC--zKan89JVNedlRRVQyqXmjXSg0IBVS-6ksgzkRCzVRKjKNSCclkhy5kADY8ou0apeKTEmHwfdXb_cwsrhVMkGs0t-a9PeROvNvzetX5vLeG00Y5JzjgLvBoH1o7bz07k51KiotWQ1v2bIvr1_LMWrHnJntj47CMG2EPtsuMJMpKQ49Zi8eYRuYp9a_Aqk9ERU6LVC6v1AuRRzTtA8TMCoOWRtDlmbu6wRfv231Qf0T7gIsAG48QH2_5EyXxezb4Pob6lOtfA</recordid><startdate>202209</startdate><enddate>202209</enddate><creator>Wernly, Bernhard</creator><creator>Rezar, Richard</creator><creator>Flaatten, Hans</creator><creator>Beil, Michael</creator><creator>Fjølner, Jesper</creator><creator>Bruno, Raphael R.</creator><creator>Artigas, Antonio</creator><creator>Pinto, Bernardo B.</creator><creator>Schefold, Joerg C.</creator><creator>Kelm, Malte</creator><creator>Sigal, Sviri</creator><creator>Heerden, Peter V.</creator><creator>Szczeklik, Wojciech</creator><creator>Elhadi, Muhammed</creator><creator>Joannidis, Michael</creator><creator>Oeyen, Sandra</creator><creator>Wolff, Georg</creator><creator>Marsh, Brian</creator><creator>Andersen, Finn H.</creator><creator>Moreno, Rui</creator><creator>Leaver, Susannah</creator><creator>Wernly, Sarah</creator><creator>Boumendil, Ariane</creator><creator>De Lange, Dylan W.</creator><creator>Guidet, Bertrand</creator><creator>Jung, Christian</creator><general>Blackwell Publishing Ltd</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QL</scope><scope>C1K</scope><scope>K9.</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4024-0220</orcidid><orcidid>https://orcid.org/0000-0001-9264-3115</orcidid><orcidid>https://orcid.org/0000-0002-7118-501X</orcidid><orcidid>https://orcid.org/0000-0003-3776-3530</orcidid><orcidid>https://orcid.org/0000-0002-7643-6770</orcidid></search><sort><creationdate>202209</creationdate><title>Variations in end‐of‐life care practices in older critically ill patients with COVID‐19 in Europe</title><author>Wernly, Bernhard ; Rezar, Richard ; Flaatten, Hans ; Beil, Michael ; Fjølner, Jesper ; Bruno, Raphael R. ; Artigas, Antonio ; Pinto, Bernardo B. ; Schefold, Joerg C. ; Kelm, Malte ; Sigal, Sviri ; Heerden, Peter V. ; Szczeklik, Wojciech ; Elhadi, Muhammed ; Joannidis, Michael ; Oeyen, Sandra ; Wolff, Georg ; Marsh, Brian ; Andersen, Finn H. ; Moreno, Rui ; Leaver, Susannah ; Wernly, Sarah ; Boumendil, Ariane ; De Lange, Dylan W. ; Guidet, Bertrand ; Jung, Christian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4822-406e002592f5ce6095a6b2c56a1e573b67364cfe3c956e021ce9e116ab9549d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Confidence intervals</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>critical care</topic><topic>Demographic variables</topic><topic>frail elderly</topic><topic>Heterogeneity</topic><topic>Hospitals</topic><topic>Intensive care units</topic><topic>Life Sciences</topic><topic>Mathematical analysis</topic><topic>Mortality</topic><topic>Original</topic><topic>Pandemics</topic><topic>Patients</topic><topic>public health systems research</topic><topic>resuscitation orders</topic><topic>Statistical analysis</topic><topic>Viral diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wernly, Bernhard</creatorcontrib><creatorcontrib>Rezar, Richard</creatorcontrib><creatorcontrib>Flaatten, Hans</creatorcontrib><creatorcontrib>Beil, Michael</creatorcontrib><creatorcontrib>Fjølner, Jesper</creatorcontrib><creatorcontrib>Bruno, Raphael R.</creatorcontrib><creatorcontrib>Artigas, Antonio</creatorcontrib><creatorcontrib>Pinto, Bernardo B.</creatorcontrib><creatorcontrib>Schefold, Joerg C.</creatorcontrib><creatorcontrib>Kelm, Malte</creatorcontrib><creatorcontrib>Sigal, Sviri</creatorcontrib><creatorcontrib>Heerden, Peter V.</creatorcontrib><creatorcontrib>Szczeklik, Wojciech</creatorcontrib><creatorcontrib>Elhadi, Muhammed</creatorcontrib><creatorcontrib>Joannidis, Michael</creatorcontrib><creatorcontrib>Oeyen, Sandra</creatorcontrib><creatorcontrib>Wolff, Georg</creatorcontrib><creatorcontrib>Marsh, Brian</creatorcontrib><creatorcontrib>Andersen, Finn H.</creatorcontrib><creatorcontrib>Moreno, Rui</creatorcontrib><creatorcontrib>Leaver, Susannah</creatorcontrib><creatorcontrib>Wernly, Sarah</creatorcontrib><creatorcontrib>Boumendil, Ariane</creatorcontrib><creatorcontrib>De Lange, Dylan W.</creatorcontrib><creatorcontrib>Guidet, Bertrand</creatorcontrib><creatorcontrib>Jung, Christian</creatorcontrib><creatorcontrib>COVIP study group</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of Internal Medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wernly, Bernhard</au><au>Rezar, Richard</au><au>Flaatten, Hans</au><au>Beil, Michael</au><au>Fjølner, Jesper</au><au>Bruno, Raphael R.</au><au>Artigas, Antonio</au><au>Pinto, Bernardo B.</au><au>Schefold, Joerg C.</au><au>Kelm, Malte</au><au>Sigal, Sviri</au><au>Heerden, Peter V.</au><au>Szczeklik, Wojciech</au><au>Elhadi, Muhammed</au><au>Joannidis, Michael</au><au>Oeyen, Sandra</au><au>Wolff, Georg</au><au>Marsh, Brian</au><au>Andersen, Finn H.</au><au>Moreno, Rui</au><au>Leaver, Susannah</au><au>Wernly, Sarah</au><au>Boumendil, Ariane</au><au>De Lange, Dylan W.</au><au>Guidet, Bertrand</au><au>Jung, Christian</au><aucorp>COVIP study group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Variations in end‐of‐life care practices in older critically ill patients with COVID‐19 in Europe</atitle><jtitle>Journal of Internal Medicine</jtitle><addtitle>J Intern Med</addtitle><date>2022-09</date><risdate>2022</risdate><volume>292</volume><issue>3</issue><spage>438</spage><epage>449</epage><pages>438-449</pages><issn>0954-6820</issn><eissn>1365-2796</eissn><abstract>Background
Previous studies reported regional differences in end‐of‐life care (EoLC) for critically ill patients in Europe.
Objectives
The purpose of this post‐hoc analysis of the prospective multicentre COVIP study was to investigate variations in EoLC practices among older patients in intensive care units during the coronavirus disease 2019 pandemic.
Methods
A total of 3105 critically ill patients aged 70 years and older were enrolled in this study (Central Europe: n = 1573; Northern Europe: n = 821; Southern Europe: n = 711). Generalised estimation equations were used to calculate adjusted odds ratios (aORs) to population averages. Data were adjusted for patient‐specific variables (demographic, disease‐specific) and health economic data (gross domestic product, health expenditure per capita). The primary outcome was any treatment limitation, and 90‐day mortality was a secondary outcome.
Results
The frequency of the primary endpoint (treatment limitation) was highest in Northern Europe (48%), intermediate in Central Europe (39%) and lowest in Southern Europe (24%). The likelihood for treatment limitations was lower in Southern than in Central Europe (aOR 0.39; 95% confidence interval [CI] 0.21–0.73; p = 0.004), even after multivariable adjustment, whereas no statistically significant differences were observed between Northern and Central Europe (aOR 0.57; 95%CI 0.27–1.22; p = 0.15). After multivariable adjustment, no statistically relevant mortality differences were found between Northern and Central Europe (aOR 1.29; 95%CI 0.80–2.09; p = 0.30) or between Southern and Central Europe (aOR 1.07; 95%CI 0.66–1.73; p = 0.78).
Conclusion
This study shows a north‐to‐south gradient in rates of treatment limitation in Europe, highlighting the heterogeneity of EoLC practices across countries. However, mortality rates were not affected by these results.
</abstract><cop>England</cop><pub>Blackwell Publishing Ltd</pub><pmid>35398948</pmid><doi>10.1111/joim.13492</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-4024-0220</orcidid><orcidid>https://orcid.org/0000-0001-9264-3115</orcidid><orcidid>https://orcid.org/0000-0002-7118-501X</orcidid><orcidid>https://orcid.org/0000-0003-3776-3530</orcidid><orcidid>https://orcid.org/0000-0002-7643-6770</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Confidence intervals Coronaviruses COVID-19 critical care Demographic variables frail elderly Heterogeneity Hospitals Intensive care units Life Sciences Mathematical analysis Mortality Original Pandemics Patients public health systems research resuscitation orders Statistical analysis Viral diseases |
title | Variations in end‐of‐life care practices in older critically ill patients with COVID‐19 in Europe |
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