Multimorbidity profile of COVID-19 deaths in Portugal during 2020

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Background: COVID-19 is caused by SARS-CoV-2 infection and h...

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Veröffentlicht in:Journal of clinical medicine 2022, Vol.11 (7)
Hauptverfasser: Nogueira, Paulo Jorge, de Araújo Nobre, Miguel, Elias, Cecília, Feteira-Santos, Rodrigo, Martinho, António C.-V., Camarinha, Catarina, Bacelar-Nicolau, Leonor, Jorge Silva da Costa, Andreia, Furtado, Cristina, Morais, Liliane, Rachadell, Juan, Pinto, Mário Pereira, Pinto, Fausto J., Vaz Carneiro, António
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container_issue 7
container_start_page
container_title Journal of clinical medicine
container_volume 11
creator Nogueira, Paulo Jorge
de Araújo Nobre, Miguel
Elias, Cecília
Feteira-Santos, Rodrigo
Martinho, António C.-V.
Camarinha, Catarina
Bacelar-Nicolau, Leonor
Jorge Silva da Costa, Andreia
Furtado, Cristina
Morais, Liliane
Rachadell, Juan
Pinto, Mário Pereira
Pinto, Fausto J.
Vaz Carneiro, António
description © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Background: COVID-19 is caused by SARS-CoV-2 infection and has reached pandemic proportions. Since then, several clinical characteristics have been associated with poor outcomes. This study aimed to describe the morbidity profile of COVID-19 deaths in Portugal. Methods: A study was performed including deaths certificated in Portugal with "COVID-19" (ICD-10: U07.1 or U07.2) coded as the underlying cause of death from the National e-Death Certificates Information System between 16 March and 31 December 2020. Comorbidities were derived from ICD-10 codes using the Charlson and Elixhauser indexes. The resident Portuguese population estimates for 2020 were used. Results: The study included 6701 deaths (death rate: 65.1 deaths/100,000 inhabitants), predominantly males (72.1). The male-to-female mortality ratio was 1.1. The male-to-female mortality rate ratio was 1.2; however, within age groups, it varied 5.0-11.4-fold. COVID-19 deaths in Portugal during 2020 occurred mainly in individuals aged 80 years or older, predominantly in public healthcare institutions. Uncomplicated hypertension, uncomplicated diabetes mellitus, congestive heart failure, renal failure, cardiac arrhythmias, dementia, and cerebrovascular disease were observed among COVID-19 deceased patients, with prevalences higher than 10%. A high prevalence of zero morbidities was registered using both the Elixhauser and Charlson comorbidities lists (above 40.2%). Nevertheless, high multimorbidity was also identified at the time of COVID-19 death (about 36.5%). Higher multimorbidity levels were observed in men, increasing with age up to 80 years old. Zero-morbidity prevalence and high multimorbidity prevalences varied throughout the year 2020, seemingly more elevated in the mortality waves' peaks, suggesting variation according to the degree of disease incidence at a given period. Conclusions: This study provides detailed sociodemographic and clinical information on all certificated deaths from COVID-19 in Portugal during 2020, showing complex and extreme levels of morbidity (zero-morbidity vs. high multimorbidity) dynamics during the first year of the pandemic in Portugal. This publication was supported by Fundação para a Ciência e Tecnologia (FCT) under the reference
doi_str_mv 10.3390/jcm11071898
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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Background: COVID-19 is caused by SARS-CoV-2 infection and has reached pandemic proportions. Since then, several clinical characteristics have been associated with poor outcomes. This study aimed to describe the morbidity profile of COVID-19 deaths in Portugal. Methods: A study was performed including deaths certificated in Portugal with "COVID-19" (ICD-10: U07.1 or U07.2) coded as the underlying cause of death from the National e-Death Certificates Information System between 16 March and 31 December 2020. Comorbidities were derived from ICD-10 codes using the Charlson and Elixhauser indexes. The resident Portuguese population estimates for 2020 were used. Results: The study included 6701 deaths (death rate: 65.1 deaths/100,000 inhabitants), predominantly males (72.1). The male-to-female mortality ratio was 1.1. The male-to-female mortality rate ratio was 1.2; however, within age groups, it varied 5.0-11.4-fold. COVID-19 deaths in Portugal during 2020 occurred mainly in individuals aged 80 years or older, predominantly in public healthcare institutions. Uncomplicated hypertension, uncomplicated diabetes mellitus, congestive heart failure, renal failure, cardiac arrhythmias, dementia, and cerebrovascular disease were observed among COVID-19 deceased patients, with prevalences higher than 10%. A high prevalence of zero morbidities was registered using both the Elixhauser and Charlson comorbidities lists (above 40.2%). Nevertheless, high multimorbidity was also identified at the time of COVID-19 death (about 36.5%). Higher multimorbidity levels were observed in men, increasing with age up to 80 years old. Zero-morbidity prevalence and high multimorbidity prevalences varied throughout the year 2020, seemingly more elevated in the mortality waves' peaks, suggesting variation according to the degree of disease incidence at a given period. Conclusions: This study provides detailed sociodemographic and clinical information on all certificated deaths from COVID-19 in Portugal during 2020, showing complex and extreme levels of morbidity (zero-morbidity vs. high multimorbidity) dynamics during the first year of the pandemic in Portugal. This publication was supported by Fundação para a Ciência e Tecnologia (FCT) under the references UIDB/04295/2020 and UIDP/04295/2020.</description><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm11071898</identifier><language>eng</language><publisher>MDPI</publisher><subject>Charlson comorbidity index ; Comorbidity ; Elixhauser comorbidity index ; Mortality ; Portugal</subject><ispartof>Journal of clinical medicine, 2022, Vol.11 (7)</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-0421-1262 ; 0000-0002-8034-4529 ; 0000-0002-6906-1392 ; 0000-0002-5780-2288 ; 0000-0002-7084-8301 ; 0000-0002-8177-5785 ; 0000-0001-8316-5035 ; 0000-0002-2727-4402 ; 0000-0003-2934-3632 ; 0000-0002-2783-0544 ; 0000-0003-2632-0945</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27900,27901,27902</link.rule.ids></links><search><creatorcontrib>Nogueira, Paulo Jorge</creatorcontrib><creatorcontrib>de Araújo Nobre, Miguel</creatorcontrib><creatorcontrib>Elias, Cecília</creatorcontrib><creatorcontrib>Feteira-Santos, Rodrigo</creatorcontrib><creatorcontrib>Martinho, António C.-V.</creatorcontrib><creatorcontrib>Camarinha, Catarina</creatorcontrib><creatorcontrib>Bacelar-Nicolau, Leonor</creatorcontrib><creatorcontrib>Jorge Silva da Costa, Andreia</creatorcontrib><creatorcontrib>Furtado, Cristina</creatorcontrib><creatorcontrib>Morais, Liliane</creatorcontrib><creatorcontrib>Rachadell, Juan</creatorcontrib><creatorcontrib>Pinto, Mário Pereira</creatorcontrib><creatorcontrib>Pinto, Fausto J.</creatorcontrib><creatorcontrib>Vaz Carneiro, António</creatorcontrib><title>Multimorbidity profile of COVID-19 deaths in Portugal during 2020</title><title>Journal of clinical medicine</title><description>© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Background: COVID-19 is caused by SARS-CoV-2 infection and has reached pandemic proportions. Since then, several clinical characteristics have been associated with poor outcomes. This study aimed to describe the morbidity profile of COVID-19 deaths in Portugal. Methods: A study was performed including deaths certificated in Portugal with "COVID-19" (ICD-10: U07.1 or U07.2) coded as the underlying cause of death from the National e-Death Certificates Information System between 16 March and 31 December 2020. Comorbidities were derived from ICD-10 codes using the Charlson and Elixhauser indexes. The resident Portuguese population estimates for 2020 were used. Results: The study included 6701 deaths (death rate: 65.1 deaths/100,000 inhabitants), predominantly males (72.1). The male-to-female mortality ratio was 1.1. The male-to-female mortality rate ratio was 1.2; however, within age groups, it varied 5.0-11.4-fold. COVID-19 deaths in Portugal during 2020 occurred mainly in individuals aged 80 years or older, predominantly in public healthcare institutions. Uncomplicated hypertension, uncomplicated diabetes mellitus, congestive heart failure, renal failure, cardiac arrhythmias, dementia, and cerebrovascular disease were observed among COVID-19 deceased patients, with prevalences higher than 10%. A high prevalence of zero morbidities was registered using both the Elixhauser and Charlson comorbidities lists (above 40.2%). Nevertheless, high multimorbidity was also identified at the time of COVID-19 death (about 36.5%). Higher multimorbidity levels were observed in men, increasing with age up to 80 years old. Zero-morbidity prevalence and high multimorbidity prevalences varied throughout the year 2020, seemingly more elevated in the mortality waves' peaks, suggesting variation according to the degree of disease incidence at a given period. Conclusions: This study provides detailed sociodemographic and clinical information on all certificated deaths from COVID-19 in Portugal during 2020, showing complex and extreme levels of morbidity (zero-morbidity vs. high multimorbidity) dynamics during the first year of the pandemic in Portugal. This publication was supported by Fundação para a Ciência e Tecnologia (FCT) under the references UIDB/04295/2020 and UIDP/04295/2020.</description><subject>Charlson comorbidity index</subject><subject>Comorbidity</subject><subject>Elixhauser comorbidity index</subject><subject>Mortality</subject><subject>Portugal</subject><issn>2077-0383</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqNjj0KwjAYQIMgWLSTF4gHqH5JWpKOUhUdRAdxLbF_psSmJKng7e3gAXzLW97wEFoSWDOWwqYtXoQAJyIVExRQ4DwCJtgMhc61MCJETAkP0PY8aK9exj5UqfwH99bUSlfY1Di73E-7iKS4rKR_Oqw6fDXWD43UuBys6hpMgcICTWupXRX-PEerw_6WHSNbSNnntnor56XLCcQJyRM6_rF_mi8p5znt</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Nogueira, Paulo Jorge</creator><creator>de Araújo Nobre, Miguel</creator><creator>Elias, Cecília</creator><creator>Feteira-Santos, Rodrigo</creator><creator>Martinho, António C.-V.</creator><creator>Camarinha, Catarina</creator><creator>Bacelar-Nicolau, Leonor</creator><creator>Jorge Silva da Costa, Andreia</creator><creator>Furtado, Cristina</creator><creator>Morais, Liliane</creator><creator>Rachadell, Juan</creator><creator>Pinto, Mário Pereira</creator><creator>Pinto, Fausto J.</creator><creator>Vaz Carneiro, António</creator><general>MDPI</general><scope>RCLKO</scope><orcidid>https://orcid.org/0000-0003-0421-1262</orcidid><orcidid>https://orcid.org/0000-0002-8034-4529</orcidid><orcidid>https://orcid.org/0000-0002-6906-1392</orcidid><orcidid>https://orcid.org/0000-0002-5780-2288</orcidid><orcidid>https://orcid.org/0000-0002-7084-8301</orcidid><orcidid>https://orcid.org/0000-0002-8177-5785</orcidid><orcidid>https://orcid.org/0000-0001-8316-5035</orcidid><orcidid>https://orcid.org/0000-0002-2727-4402</orcidid><orcidid>https://orcid.org/0000-0003-2934-3632</orcidid><orcidid>https://orcid.org/0000-0002-2783-0544</orcidid><orcidid>https://orcid.org/0000-0003-2632-0945</orcidid></search><sort><creationdate>2022</creationdate><title>Multimorbidity profile of COVID-19 deaths in Portugal during 2020</title><author>Nogueira, Paulo Jorge ; de Araújo Nobre, Miguel ; Elias, Cecília ; Feteira-Santos, Rodrigo ; Martinho, António C.-V. ; Camarinha, Catarina ; Bacelar-Nicolau, Leonor ; Jorge Silva da Costa, Andreia ; Furtado, Cristina ; Morais, Liliane ; Rachadell, Juan ; Pinto, Mário Pereira ; Pinto, Fausto J. ; Vaz Carneiro, António</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-rcaap_revistas_10451_523393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Charlson comorbidity index</topic><topic>Comorbidity</topic><topic>Elixhauser comorbidity index</topic><topic>Mortality</topic><topic>Portugal</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nogueira, Paulo Jorge</creatorcontrib><creatorcontrib>de Araújo Nobre, Miguel</creatorcontrib><creatorcontrib>Elias, Cecília</creatorcontrib><creatorcontrib>Feteira-Santos, Rodrigo</creatorcontrib><creatorcontrib>Martinho, António C.-V.</creatorcontrib><creatorcontrib>Camarinha, Catarina</creatorcontrib><creatorcontrib>Bacelar-Nicolau, Leonor</creatorcontrib><creatorcontrib>Jorge Silva da Costa, Andreia</creatorcontrib><creatorcontrib>Furtado, Cristina</creatorcontrib><creatorcontrib>Morais, Liliane</creatorcontrib><creatorcontrib>Rachadell, Juan</creatorcontrib><creatorcontrib>Pinto, Mário Pereira</creatorcontrib><creatorcontrib>Pinto, Fausto J.</creatorcontrib><creatorcontrib>Vaz Carneiro, António</creatorcontrib><collection>RCAAP open access repository</collection><jtitle>Journal of clinical medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nogueira, Paulo Jorge</au><au>de Araújo Nobre, Miguel</au><au>Elias, Cecília</au><au>Feteira-Santos, Rodrigo</au><au>Martinho, António C.-V.</au><au>Camarinha, Catarina</au><au>Bacelar-Nicolau, Leonor</au><au>Jorge Silva da Costa, Andreia</au><au>Furtado, Cristina</au><au>Morais, Liliane</au><au>Rachadell, Juan</au><au>Pinto, Mário Pereira</au><au>Pinto, Fausto J.</au><au>Vaz Carneiro, António</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multimorbidity profile of COVID-19 deaths in Portugal during 2020</atitle><jtitle>Journal of clinical medicine</jtitle><date>2022</date><risdate>2022</risdate><volume>11</volume><issue>7</issue><eissn>2077-0383</eissn><abstract>© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Background: COVID-19 is caused by SARS-CoV-2 infection and has reached pandemic proportions. Since then, several clinical characteristics have been associated with poor outcomes. This study aimed to describe the morbidity profile of COVID-19 deaths in Portugal. Methods: A study was performed including deaths certificated in Portugal with "COVID-19" (ICD-10: U07.1 or U07.2) coded as the underlying cause of death from the National e-Death Certificates Information System between 16 March and 31 December 2020. Comorbidities were derived from ICD-10 codes using the Charlson and Elixhauser indexes. The resident Portuguese population estimates for 2020 were used. Results: The study included 6701 deaths (death rate: 65.1 deaths/100,000 inhabitants), predominantly males (72.1). The male-to-female mortality ratio was 1.1. The male-to-female mortality rate ratio was 1.2; however, within age groups, it varied 5.0-11.4-fold. COVID-19 deaths in Portugal during 2020 occurred mainly in individuals aged 80 years or older, predominantly in public healthcare institutions. Uncomplicated hypertension, uncomplicated diabetes mellitus, congestive heart failure, renal failure, cardiac arrhythmias, dementia, and cerebrovascular disease were observed among COVID-19 deceased patients, with prevalences higher than 10%. A high prevalence of zero morbidities was registered using both the Elixhauser and Charlson comorbidities lists (above 40.2%). Nevertheless, high multimorbidity was also identified at the time of COVID-19 death (about 36.5%). Higher multimorbidity levels were observed in men, increasing with age up to 80 years old. Zero-morbidity prevalence and high multimorbidity prevalences varied throughout the year 2020, seemingly more elevated in the mortality waves' peaks, suggesting variation according to the degree of disease incidence at a given period. Conclusions: This study provides detailed sociodemographic and clinical information on all certificated deaths from COVID-19 in Portugal during 2020, showing complex and extreme levels of morbidity (zero-morbidity vs. high multimorbidity) dynamics during the first year of the pandemic in Portugal. 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subjects Charlson comorbidity index
Comorbidity
Elixhauser comorbidity index
Mortality
Portugal
title Multimorbidity profile of COVID-19 deaths in Portugal during 2020
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