Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19. (13th May 2021)
- Record Type:
- Journal Article
- Title:
- Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19. (13th May 2021)
- Main Title:
- Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19
- Authors:
- Bellan, Mattia
Azzolina, Danila
Hayden, Eyal
Gaidano, Gianluca
Pirisi, Mario
Acquaviva, Antonio
Aimaretti, Gianluca
Aluffi Valletti, Paolo
Angilletta, Roberto
Arioli, Roberto
Avanzi, Gian Carlo
Avino, Gianluca
Balbo, Piero Emilio
Baldon, Giulia
Baorda, Francesca
Barbero, Emanuela
Baricich, Alessio
Barini, Michela
Barone-Adesi, Francesco
Battistini, Sofia
Beltrame, Michela
Bertoli, Matteo
Bertolin, Stephanie
Bertolotti, Marinella
Betti, Marta
Bobbio, Flavio
Boffano, Paolo
Boglione, Lucio
Borrè, Silvio
Brucoli, Matteo
Calzaducca, Elisa
Cammarata, Edoardo
Cantaluppi, Vincenzo
Cantello, Roberto
Capponi, Andrea
Carriero, Alessandro
Casciaro, Giuseppe Francesco
Castello, Luigi Mario
Ceruti, Federico
Chichino, Guido
Chirico, Emilio
Cisari, Carlo
Cittone, Micol Giulia
Colombo, Crizia
Comi, Cristoforo
Croce, Eleonora
Daffara, Tommaso
Danna, Pietro
Della Corte, Francesco
De Vecchi, Simona
Dianzani, Umberto
Di Benedetto, Davide
Esposto, Elia
Faggiano, Fabrizio
Falaschi, Zeno
Ferrante, Daniela
Ferrero, Alice
Gagliardi, Ileana
Galbiati, Alessandra
Gallo, Silvia
Garavelli, Pietro Luigi
Gardino, Clara Ada
Garzaro, Massimiliano
Gastaldello, Maria Luisa
Gavelli, Francesco
Gennari, Alessandra
Giacomini, Greta Maria
Giacone, Irene
Giai Via, Valentina
Giolitti, Francesca
Gironi, Laura Cristina
Gramaglia, Carla
Grisafi, Leonardo
Inserra, Ilaria
Invernizzi, Marco
Krengli, Marco
Labella, Emanuela
Landi, Irene Cecilia
Landi, Raffaella
Leone, Ilaria
Lio, Veronica
Lorenzini, Luca
Maconi, Antonio
Malerba, Mario
Manfredi, Giulia Francesca
Martelli, Maria
Marzari, Letizia
Marzullo, Paolo
Mennuni, Marco
Montabone, Claudia
Morosini, Umberto
Mussa, Marco
Nerici, Ilaria
Nuzzo, Alessandro
Olivieri, Carlo
Padelli, Samuel Alberto
Panella, Massimiliano
Parisini, Andrea
Paschè, Alessio
Patrucco, Filippo
Patti, Giuseppe
Pau, Alberto
Pedrinelli, Anita Rebecca
Percivale, Ilaria
Ragazzoni, Luca
Re, Roberta
Rigamonti, Cristina
Rizzi, Eleonora
Rognoni, Andrea
Roveta, Annalisa
Salamina, Luigia
Santagostino, Matteo
Saraceno, Massimo
Savoia, Paola
Sciarra, Marco
Schimmenti, Andrea
Scotti, Lorenza
Spinoni, Enrico
Smirne, Carlo
Tarantino, Vanessa
Tillio, Paolo Amedeo
Tonello, Stelvio
Vaschetto, Rosanna
Vassia, Veronica
Zagaria, Domenico
Zavattaro, Elisa
Zeppegno, Patrizia
Zottarelli, Francesca
Sainaghi, Pier Paolo
… (more) - Other Names:
- Tu Wen-Jun Academic Editor.
- Abstract:
- Abstract : Introduction . The clinical course of Coronavirus Disease 2019 (COVID-19) is highly heterogenous, ranging from asymptomatic to fatal forms. The identification of clinical and laboratory predictors of poor prognosis may assist clinicians in monitoring strategies and therapeutic decisions. Materials and Methods . In this study, we retrospectively assessed the prognostic value of a simple tool, the complete blood count, on a cohort of 664 patients (F 260; 39%, median age 70 (56-81) years) hospitalized for COVID-19 in Northern Italy. We collected demographic data along with complete blood cell count; moreover, the outcome of the hospital in-stay was recorded. Results . At data cut-off, 221/664 patients (33.3%) had died and 453/664 (66.7%) had been discharged. Red cell distribution width (RDW) (χ 2 10.4; p < 0.001 ), neutrophil-to-lymphocyte (NL) ratio (χ 2 7.6; p = 0.006 ), and platelet count (χ 2 5.39; p = 0.02 ), along with age (χ 2 87.6; p < 0.001 ) and gender (χ 2 17.3; p < 0.001 ), accurately predicted in-hospital mortality. Hemoglobin levels were not associated with mortality. We also identified the best cut-off for mortality prediction: a NL ratio > 4.68 was characterized by an odds ratio for in-hospital mortality OR = 3.40 (2.40-4.82), while the OR for a RDW > 13.7 % was 4.09 (2.87-5.83); a platelet count > 166, 000 / μ L was, conversely, protective (OR: 0.45 (0.32-0.63)). Conclusion. Our findings arise the opportunity of stratifying COVID-19 severityAbstract : Introduction . The clinical course of Coronavirus Disease 2019 (COVID-19) is highly heterogenous, ranging from asymptomatic to fatal forms. The identification of clinical and laboratory predictors of poor prognosis may assist clinicians in monitoring strategies and therapeutic decisions. Materials and Methods . In this study, we retrospectively assessed the prognostic value of a simple tool, the complete blood count, on a cohort of 664 patients (F 260; 39%, median age 70 (56-81) years) hospitalized for COVID-19 in Northern Italy. We collected demographic data along with complete blood cell count; moreover, the outcome of the hospital in-stay was recorded. Results . At data cut-off, 221/664 patients (33.3%) had died and 453/664 (66.7%) had been discharged. Red cell distribution width (RDW) (χ 2 10.4; p < 0.001 ), neutrophil-to-lymphocyte (NL) ratio (χ 2 7.6; p = 0.006 ), and platelet count (χ 2 5.39; p = 0.02 ), along with age (χ 2 87.6; p < 0.001 ) and gender (χ 2 17.3; p < 0.001 ), accurately predicted in-hospital mortality. Hemoglobin levels were not associated with mortality. We also identified the best cut-off for mortality prediction: a NL ratio > 4.68 was characterized by an odds ratio for in-hospital mortality OR = 3.40 (2.40-4.82), while the OR for a RDW > 13.7 % was 4.09 (2.87-5.83); a platelet count > 166, 000 / μ L was, conversely, protective (OR: 0.45 (0.32-0.63)). Conclusion. Our findings arise the opportunity of stratifying COVID-19 severity according to simple lab parameters, which may drive clinical decisions about monitoring and treatment. … (more)
- Is Part Of:
- Disease markers. Volume 2021(2021)
- Journal:
- Disease markers
- Issue:
- Volume 2021(2021)
- Issue Display:
- Volume 2021, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 2021
- Issue:
- 2021
- Issue Sort Value:
- 2021-2021-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-05-13
- Subjects:
- Diagnosis -- Periodicals
Biochemical markers -- Periodicals
Pathology -- Periodicals
616 - Journal URLs:
- https://www.hindawi.com/journals/dm/ ↗
- DOI:
- 10.1155/2021/8863053 ↗
- Languages:
- English
- ISSNs:
- 0278-0240
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17173.xml