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.

Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe / Aguiar, Maira; Stollenwerk, N.. - In: PUBLIC HEALTH. - ISSN 0033-3506. - ELETTRONICO. - 188:(2020), pp. 18-20. [10.1016/j.puhe.2020.08.021]

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

Aguiar Maira
;
Stollenwerk N.
2020-01-01

Abstract

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.
2020
Aguiar, Maira; Stollenwerk, N.
Condition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globe / Aguiar, Maira; Stollenwerk, N.. - In: PUBLIC HEALTH. - ISSN 0033-3506. - ELETTRONICO. - 188:(2020), pp. 18-20. [10.1016/j.puhe.2020.08.021]
File in questo prodotto:
File Dimensione Formato  
Public_Health_Aguiar.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 217.86 kB
Formato Adobe PDF
217.86 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/292079
Citazioni
  • ???jsp.display-item.citation.pmc??? 12
  • Scopus 20
  • ???jsp.display-item.citation.isi??? 16
  • OpenAlex ND
social impact