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10.1038/s41598-020-77698-4

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33244144!7692524!33244144
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suck abstract from ncbi


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pmid33244144      Sci+Rep 2020 ; 10 (1): 20731
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  • Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients #MMPMID33244144
  • 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; Borre 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; Pasche 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
  • Sci Rep 2020[Nov]; 10 (1): 20731 PMID33244144show ga
  • 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(2)/FiO(2) 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.
  • |*Pandemics[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |COVID-19/*epidemiology/*mortality/virology[MESH]
  • |Comorbidity[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Italy/epidemiology[MESH]
  • |Length of Stay[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Retrospective Studies[MESH]
  • |Reverse Transcriptase Polymerase Chain Reaction[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2/*genetics[MESH]
  • |Sex Factors[MESH]
  • |Smoking[MESH]


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