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Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe

OBJECTIVES: With COVID-19 infections resulting in death according to a hierarchy of risks, with age and pre-existing health conditions enhancing disease severity, the objective of this study is to estimate the condition-specific case fatality ratio (CFR) for different subpopulations in Italy. STUDY...

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Autores principales: Aguiar, M., Stollenwerk, N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society for Public Health. Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474865/
https://www.ncbi.nlm.nih.gov/pubmed/33049491
http://dx.doi.org/10.1016/j.puhe.2020.08.021
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author Aguiar, M.
Stollenwerk, N.
author_facet Aguiar, M.
Stollenwerk, N.
author_sort Aguiar, M.
collection PubMed
description OBJECTIVES: With COVID-19 infections resulting in death according to a hierarchy of risks, with age and pre-existing health conditions enhancing disease severity, the objective of this study is to estimate the condition-specific case fatality ratio (CFR) for different subpopulations in Italy. STUDY DESIGN: The design of the study was to estimate the ‘pre-existing comorbidity’-conditional CFR to eventually explain the mortality risk variability reported around in different countries. METHODS: We use the available information on pre-existing health conditions identified for deceased patients ‘positive with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)’ in Italy. We (i) estimated the total number of deaths for different pre-existing health conditions categories and (ii) calculated a conditional CFR based upon the number of comorbidities before SARS-CoV-2 infection. RESULTS: Our results show a 0.6% conditional CFR for a population with zero pre-existing pathology, increasing to 13.9% for a population diagnosed with one and more pre-existing health conditions. CONCLUSIONS: Condition-specific mortality risks are important to be evaluated during the COVID-19 pandemic, with potential elements to explain the CFR variability around the globe. A careful postmortem examination of deceased cases to differentiate death ‘caused by COVID-19’ from death ‘positive with SARS-CoV-2’ is therefore urgently needed and will likely improve our understanding of the COVID-19 mortality risk and virus pathogenicity.
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spelling pubmed-74748652020-09-08 Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe Aguiar, M. Stollenwerk, N. Public Health Short Communication OBJECTIVES: With COVID-19 infections resulting in death according to a hierarchy of risks, with age and pre-existing health conditions enhancing disease severity, the objective of this study is to estimate the condition-specific case fatality ratio (CFR) for different subpopulations in Italy. STUDY DESIGN: The design of the study was to estimate the ‘pre-existing comorbidity’-conditional CFR to eventually explain the mortality risk variability reported around in different countries. METHODS: We use the available information on pre-existing health conditions identified for deceased patients ‘positive with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)’ in Italy. We (i) estimated the total number of deaths for different pre-existing health conditions categories and (ii) calculated a conditional CFR based upon the number of comorbidities before SARS-CoV-2 infection. RESULTS: Our results show a 0.6% conditional CFR for a population with zero pre-existing pathology, increasing to 13.9% for a population diagnosed with one and more pre-existing health conditions. CONCLUSIONS: Condition-specific mortality risks are important to be evaluated during the COVID-19 pandemic, with potential elements to explain the CFR variability around the globe. A careful postmortem examination of deceased cases to differentiate death ‘caused by COVID-19’ from death ‘positive with SARS-CoV-2’ is therefore urgently needed and will likely improve our understanding of the COVID-19 mortality risk and virus pathogenicity. The Royal Society for Public Health. Published by Elsevier Ltd. 2020-11 2020-09-06 /pmc/articles/PMC7474865/ /pubmed/33049491 http://dx.doi.org/10.1016/j.puhe.2020.08.021 Text en © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Short Communication
Aguiar, M.
Stollenwerk, N.
Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe
title Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe
title_full Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe
title_fullStr Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe
title_full_unstemmed Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe
title_short Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe
title_sort condition-specific mortality risk can explain differences in covid-19 case fatality ratios around the globe
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7474865/
https://www.ncbi.nlm.nih.gov/pubmed/33049491
http://dx.doi.org/10.1016/j.puhe.2020.08.021
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