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dc.contributor.authorAguiar, M. 
dc.contributor.authorStollenwerk, N.
dc.description.abstractObjectives 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.en_US
dc.description.sponsorshipMarie Skłodowska-Curie grant agreement No 792494en_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.subjectMortality Risken_US
dc.titleCondition-specific mortality risk can explain differences in COVID-19 case fatality ratios around the globeen_US
dc.journal.titlePublic Healthen_US

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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España