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Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients.

Authors :
Bellan M
Patti G
Hayden E
Azzolina D
Pirisi M
Acquaviva A
Aimaretti G
Aluffi Valletti P
Angilletta R
Arioli R
Avanzi GC
Avino G
Balbo PE
Baldon G
Baorda F
Barbero E
Baricich A
Barini M
Barone-Adesi F
Battistini S
Beltrame M
Bertoli M
Bertolin S
Bertolotti M
Betti M
Bobbio F
Boffano P
Boglione L
Borrè S
Brucoli M
Calzaducca E
Cammarata E
Cantaluppi V
Cantello R
Capponi A
Carriero A
Casciaro FG
Castello LM
Ceruti F
Chichino G
Chirico E
Cisari C
Cittone MG
Colombo C
Comi C
Croce E
Daffara T
Danna P
Della Corte F
De Vecchi S
Dianzani U
Di Benedetto D
Esposto E
Faggiano F
Falaschi Z
Ferrante D
Ferrero A
Gagliardi I
Gaidano G
Galbiati A
Gallo S
Garavelli PL
Gardino CA
Garzaro M
Gastaldello ML
Gavelli F
Gennari A
Giacomini GM
Giacone I
Giai Via V
Giolitti F
Gironi LC
Gramaglia C
Grisafi L
Inserra I
Invernizzi M
Krengli M
Labella E
Landi IC
Landi R
Leone I
Lio V
Lorenzini L
Maconi A
Malerba M
Manfredi GF
Martelli M
Marzari L
Marzullo P
Mennuni M
Montabone C
Morosini U
Mussa M
Nerici I
Nuzzo A
Olivieri C
Padelli SA
Panella M
Parisini A
Paschè A
Pau A
Pedrinelli AR
Percivale I
Re R
Rigamonti C
Rizzi E
Rognoni A
Roveta A
Salamina L
Santagostino M
Saraceno M
Savoia P
Sciarra M
Schimmenti A
Scotti L
Spinoni E
Smirne C
Tarantino V
Tillio PA
Vaschetto R
Vassia V
Zagaria D
Zavattaro E
Zeppegno P
Zottarelli F
Sainaghi PP
Source :
Scientific reports [Sci Rep] 2020 Nov 26; Vol. 10 (1), pp. 20731. Date of Electronic Publication: 2020 Nov 26.
Publication Year :
2020

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 <subscript>2</subscript> /FiO <subscript>2</subscript> 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.

Details

Language :
English
ISSN :
2045-2322
Volume :
10
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
33244144
Full Text :
https://doi.org/10.1038/s41598-020-77698-4