AI Article Synopsis

  • The study examined COVID-19 case fatality rates (CFR) and mortality predictors in Northern Italy during March-April 2020.
  • Out of 1,697 hospitalized patients, 504 died, resulting in an overall CFR of 29.7%.
  • Key predictors of mortality identified were age, cancer diagnosis, obesity, and smoking, with laboratory data reinforcing the significance of age, cancer diagnosis, and baseline PaO/FiO ratio.

Article Abstract

Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods. During the study period 504/1697 patients died; thus, overall CFR was 29.7%. We looked for predictors of mortality in a subgroup of 486 patients (239 males, 59%; median age 71 years) for whom sufficient clinical data were available at data cut-off. Among the demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model in a further subgroup of patients, age, the diagnosis of cancer, and the baseline PaO/FiO ratio were identified as independent predictors of mortality. In conclusion, the CFR of hospitalized patients in Northern Italy during the ascending phase of the COVID-19 pandemic approached 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692524PMC
http://dx.doi.org/10.1038/s41598-020-77698-4DOI Listing

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