The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis
IntroductionIncreased age has been reported to be a factor for COVID-19 severe outcomes. However, many studies do not consider the age dependency of comorbidities, which influence the course of disease. Protection strategies often target individuals after a certain age, which may not necessarily be...
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description | IntroductionIncreased age has been reported to be a factor for COVID-19 severe outcomes. However, many studies do not consider the age dependency of comorbidities, which influence the course of disease. Protection strategies often target individuals after a certain age, which may not necessarily be evidence based. The aim of this review was to quantify the isolated effect of age on hospitalisation, admission to intensive care unit (ICU), mechanical ventilation and death.MethodsThis review was based on an umbrella review, in which Pubmed, Embase and preprint databases were searched on 10 December 2020, for relevant reviews on COVID-19 disease severity. Two independent reviewers evaluated the primary studies using predefined inclusion and exclusion criteria. The results were extracted, and each study was assessed for risk of bias. The isolated effect of age was estimated by meta-analysis, and the quality of evidence was assessed using Grades of Recommendations, Assessment, Development, and Evaluation framework.ResultsSeventy studies met our inclusion criteria (case mortality: n=14, in-hospital mortality: n=44, hospitalisation: n=16, admission to ICU: n=12, mechanical ventilation: n=7). The risk of in-hospital and case mortality increased per age year by 5.7% and 7.4%, respectively (effect size (ES) in-hospital mortality=1.057, 95% CI 1.038 to 1.054; ES case mortality=1.074, 95% CI 1.061 to 1.087), while the risk of hospitalisation increased by 3.4% per age year (ES=1.034, 95% CI 1.021 to 1.048). No increased risk was observed for ICU admission and intubation by age year. There was no evidence of a specific age threshold at which the risk accelerates considerably. The confidence of evidence was high for mortality and hospitalisation.ConclusionsOur results show a best-possible quantification of the increase in COVID-19 disease severity due to age. Rather than implementing age thresholds, prevention programmes should consider the continuous increase in risk. There is a need for continuous, high-quality research and ‘living’ reviews to evaluate the evidence throughout the pandemic, as results may change due to varying circumstances. |
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However, many studies do not consider the age dependency of comorbidities, which influence the course of disease. Protection strategies often target individuals after a certain age, which may not necessarily be evidence based. The aim of this review was to quantify the isolated effect of age on hospitalisation, admission to intensive care unit (ICU), mechanical ventilation and death.MethodsThis review was based on an umbrella review, in which Pubmed, Embase and preprint databases were searched on 10 December 2020, for relevant reviews on COVID-19 disease severity. Two independent reviewers evaluated the primary studies using predefined inclusion and exclusion criteria. The results were extracted, and each study was assessed for risk of bias. The isolated effect of age was estimated by meta-analysis, and the quality of evidence was assessed using Grades of Recommendations, Assessment, Development, and Evaluation framework.ResultsSeventy studies met our inclusion criteria (case mortality: n=14, in-hospital mortality: n=44, hospitalisation: n=16, admission to ICU: n=12, mechanical ventilation: n=7). The risk of in-hospital and case mortality increased per age year by 5.7% and 7.4%, respectively (effect size (ES) in-hospital mortality=1.057, 95% CI 1.038 to 1.054; ES case mortality=1.074, 95% CI 1.061 to 1.087), while the risk of hospitalisation increased by 3.4% per age year (ES=1.034, 95% CI 1.021 to 1.048). No increased risk was observed for ICU admission and intubation by age year. There was no evidence of a specific age threshold at which the risk accelerates considerably. The confidence of evidence was high for mortality and hospitalisation.ConclusionsOur results show a best-possible quantification of the increase in COVID-19 disease severity due to age. Rather than implementing age thresholds, prevention programmes should consider the continuous increase in risk. There is a need for continuous, high-quality research and ‘living’ reviews to evaluate the evidence throughout the pandemic, as results may change due to varying circumstances.</description><identifier>ISSN: 2059-7908</identifier><identifier>EISSN: 2059-7908</identifier><identifier>DOI: 10.1136/bmjgh-2021-006434</identifier><identifier>PMID: 34916273</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd</publisher><subject>Age groups ; Bias ; Cancer ; Cardiovascular disease ; Chronic illnesses ; Coronaviruses ; COVID-19 ; Diabetes ; Disease prevention ; epidemiology ; Hospitalization ; Humans ; Immune system ; Intensive care ; Intubation ; Kidney diseases ; Liver diseases ; Meta-analysis ; Mortality ; Original Research ; Pandemics ; Population ; Respiration, Artificial ; Risk factors ; SARS-CoV-2 ; Systematic review ; Unemployment ; Ventilation</subject><ispartof>BMJ global health, 2021-12, Vol.6 (12), p.e006434</ispartof><rights>Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2021 Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b465t-36359758181a00011535df38e1b1dd9c6b2f1c6cb4c11e758996be81666eedad3</citedby><cites>FETCH-LOGICAL-b465t-36359758181a00011535df38e1b1dd9c6b2f1c6cb4c11e758996be81666eedad3</cites><orcidid>0000-0002-6614-2381</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://gh.bmj.com/content/6/12/e006434.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://gh.bmj.com/content/6/12/e006434.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793,55350,77660,77686</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34916273$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Romero Starke, Karla</creatorcontrib><creatorcontrib>Reissig, David</creatorcontrib><creatorcontrib>Petereit-Haack, Gabriela</creatorcontrib><creatorcontrib>Schmauder, Stefanie</creatorcontrib><creatorcontrib>Nienhaus, Albert</creatorcontrib><creatorcontrib>Seidler, Andreas</creatorcontrib><title>The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis</title><title>BMJ global health</title><addtitle>BMJ Glob Health</addtitle><addtitle>BMJ Global Health</addtitle><addtitle>BMJ Glob Health</addtitle><description>IntroductionIncreased age has been reported to be a factor for COVID-19 severe outcomes. However, many studies do not consider the age dependency of comorbidities, which influence the course of disease. Protection strategies often target individuals after a certain age, which may not necessarily be evidence based. The aim of this review was to quantify the isolated effect of age on hospitalisation, admission to intensive care unit (ICU), mechanical ventilation and death.MethodsThis review was based on an umbrella review, in which Pubmed, Embase and preprint databases were searched on 10 December 2020, for relevant reviews on COVID-19 disease severity. Two independent reviewers evaluated the primary studies using predefined inclusion and exclusion criteria. The results were extracted, and each study was assessed for risk of bias. The isolated effect of age was estimated by meta-analysis, and the quality of evidence was assessed using Grades of Recommendations, Assessment, Development, and Evaluation framework.ResultsSeventy studies met our inclusion criteria (case mortality: n=14, in-hospital mortality: n=44, hospitalisation: n=16, admission to ICU: n=12, mechanical ventilation: n=7). The risk of in-hospital and case mortality increased per age year by 5.7% and 7.4%, respectively (effect size (ES) in-hospital mortality=1.057, 95% CI 1.038 to 1.054; ES case mortality=1.074, 95% CI 1.061 to 1.087), while the risk of hospitalisation increased by 3.4% per age year (ES=1.034, 95% CI 1.021 to 1.048). No increased risk was observed for ICU admission and intubation by age year. There was no evidence of a specific age threshold at which the risk accelerates considerably. The confidence of evidence was high for mortality and hospitalisation.ConclusionsOur results show a best-possible quantification of the increase in COVID-19 disease severity due to age. Rather than implementing age thresholds, prevention programmes should consider the continuous increase in risk. There is a need for continuous, high-quality research and ‘living’ reviews to evaluate the evidence throughout the pandemic, as results may change due to varying circumstances.</description><subject>Age groups</subject><subject>Bias</subject><subject>Cancer</subject><subject>Cardiovascular disease</subject><subject>Chronic illnesses</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Diabetes</subject><subject>Disease prevention</subject><subject>epidemiology</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Immune system</subject><subject>Intensive care</subject><subject>Intubation</subject><subject>Kidney diseases</subject><subject>Liver diseases</subject><subject>Meta-analysis</subject><subject>Mortality</subject><subject>Original Research</subject><subject>Pandemics</subject><subject>Population</subject><subject>Respiration, Artificial</subject><subject>Risk factors</subject><subject>SARS-CoV-2</subject><subject>Systematic review</subject><subject>Unemployment</subject><subject>Ventilation</subject><issn>2059-7908</issn><issn>2059-7908</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1UUtLAzEQDqKoqD_AiwQ8RzOb3eyuB0HqEwQv6jVks7NtarfRJG3pvze1Pg9eJsN8j5nwEXII_ARAyNOmHw9HLOMZMM5lLvINspvxomZlzavNX_0OOQhhzDmHMhUut8mOyGuQWSl2yfhxhNQGN9ERW4pdhyZS11E9ROqmNCbU2_CyGg0enu8uGdQ04Bx9gmfRuB7DGdU0LEPEXkdrqMe5xQVd2DiiPUbN9FRPlsGGfbLV6UnAg893jzxdXz0Obtn9w83d4OKeNbksIhNSFHVZVFCBXh0NhSjaTlQIDbRtbWSTdWCkaXIDgIlY17LBCqSUiK1uxR45X_u-zpoeW4PT6PVEvXrba79UTlv1F5nakRq6uapkWRU5JIPjTwPv3mYYohq7mU-_CCqTwMsMcs4TC9Ys410IHrvvDcDVKiH1kZBaJaTWCSXN0e_TvhVfeSQCWxOS9mfr_4bv7rubNA</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Romero Starke, Karla</creator><creator>Reissig, David</creator><creator>Petereit-Haack, Gabriela</creator><creator>Schmauder, Stefanie</creator><creator>Nienhaus, Albert</creator><creator>Seidler, Andreas</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6614-2381</orcidid></search><sort><creationdate>20211201</creationdate><title>The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis</title><author>Romero Starke, Karla ; Reissig, David ; Petereit-Haack, Gabriela ; Schmauder, Stefanie ; Nienhaus, Albert ; Seidler, Andreas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b465t-36359758181a00011535df38e1b1dd9c6b2f1c6cb4c11e758996be81666eedad3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Age groups</topic><topic>Bias</topic><topic>Cancer</topic><topic>Cardiovascular disease</topic><topic>Chronic illnesses</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Diabetes</topic><topic>Disease prevention</topic><topic>epidemiology</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Immune system</topic><topic>Intensive care</topic><topic>Intubation</topic><topic>Kidney diseases</topic><topic>Liver diseases</topic><topic>Meta-analysis</topic><topic>Mortality</topic><topic>Original Research</topic><topic>Pandemics</topic><topic>Population</topic><topic>Respiration, Artificial</topic><topic>Risk factors</topic><topic>SARS-CoV-2</topic><topic>Systematic review</topic><topic>Unemployment</topic><topic>Ventilation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Romero Starke, Karla</creatorcontrib><creatorcontrib>Reissig, David</creatorcontrib><creatorcontrib>Petereit-Haack, Gabriela</creatorcontrib><creatorcontrib>Schmauder, Stefanie</creatorcontrib><creatorcontrib>Nienhaus, Albert</creatorcontrib><creatorcontrib>Seidler, Andreas</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMJ global health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Romero Starke, Karla</au><au>Reissig, David</au><au>Petereit-Haack, Gabriela</au><au>Schmauder, Stefanie</au><au>Nienhaus, Albert</au><au>Seidler, Andreas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis</atitle><jtitle>BMJ global health</jtitle><stitle>BMJ Glob Health</stitle><stitle>BMJ Global Health</stitle><addtitle>BMJ Glob Health</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>6</volume><issue>12</issue><spage>e006434</spage><pages>e006434-</pages><issn>2059-7908</issn><eissn>2059-7908</eissn><abstract>IntroductionIncreased age has been reported to be a factor for COVID-19 severe outcomes. However, many studies do not consider the age dependency of comorbidities, which influence the course of disease. Protection strategies often target individuals after a certain age, which may not necessarily be evidence based. The aim of this review was to quantify the isolated effect of age on hospitalisation, admission to intensive care unit (ICU), mechanical ventilation and death.MethodsThis review was based on an umbrella review, in which Pubmed, Embase and preprint databases were searched on 10 December 2020, for relevant reviews on COVID-19 disease severity. Two independent reviewers evaluated the primary studies using predefined inclusion and exclusion criteria. The results were extracted, and each study was assessed for risk of bias. The isolated effect of age was estimated by meta-analysis, and the quality of evidence was assessed using Grades of Recommendations, Assessment, Development, and Evaluation framework.ResultsSeventy studies met our inclusion criteria (case mortality: n=14, in-hospital mortality: n=44, hospitalisation: n=16, admission to ICU: n=12, mechanical ventilation: n=7). The risk of in-hospital and case mortality increased per age year by 5.7% and 7.4%, respectively (effect size (ES) in-hospital mortality=1.057, 95% CI 1.038 to 1.054; ES case mortality=1.074, 95% CI 1.061 to 1.087), while the risk of hospitalisation increased by 3.4% per age year (ES=1.034, 95% CI 1.021 to 1.048). No increased risk was observed for ICU admission and intubation by age year. There was no evidence of a specific age threshold at which the risk accelerates considerably. The confidence of evidence was high for mortality and hospitalisation.ConclusionsOur results show a best-possible quantification of the increase in COVID-19 disease severity due to age. Rather than implementing age thresholds, prevention programmes should consider the continuous increase in risk. There is a need for continuous, high-quality research and ‘living’ reviews to evaluate the evidence throughout the pandemic, as results may change due to varying circumstances.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd</pub><pmid>34916273</pmid><doi>10.1136/bmjgh-2021-006434</doi><orcidid>https://orcid.org/0000-0002-6614-2381</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age groups Bias Cancer Cardiovascular disease Chronic illnesses Coronaviruses COVID-19 Diabetes Disease prevention epidemiology Hospitalization Humans Immune system Intensive care Intubation Kidney diseases Liver diseases Meta-analysis Mortality Original Research Pandemics Population Respiration, Artificial Risk factors SARS-CoV-2 Systematic review Unemployment Ventilation |
title | The isolated effect of age on the risk of COVID-19 severe outcomes: a systematic review with meta-analysis |
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