Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19-Reference-Cited by-同舟云学术

Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19

Published:2021-05-13 Issue: Volume:2021 Page:1-7
ISSN:1875-8630
Container-title:Disease Markers
language:en
Short-container-title:Disease Markers

Author:

Bellan Mattia¹²,Azzolina Danila¹^ORCID,Hayden Eyal¹²^ORCID,Gaidano Gianluca¹²^ORCID,Pirisi Mario¹²^ORCID,Acquaviva Antonio¹²^ORCID,Aimaretti Gianluca¹²^ORCID,Aluffi Valletti Paolo¹²^ORCID,Angilletta Roberto³^ORCID,Arioli Roberto¹²^ORCID,Avanzi Gian Carlo¹²^ORCID,Avino Gianluca¹²^ORCID,Balbo Piero Emilio²^ORCID,Baldon Giulia¹²^ORCID,Baorda Francesca¹⁴^ORCID,Barbero Emanuela¹²^ORCID,Baricich Alessio¹²^ORCID,Barini Michela²^ORCID,Barone-Adesi Francesco¹^ORCID,Battistini Sofia¹²^ORCID,Beltrame Michela¹²^ORCID,Bertoli Matteo¹²^ORCID,Bertolin Stephanie¹²^ORCID,Bertolotti Marinella³^ORCID,Betti Marta³^ORCID,Bobbio Flavio²^ORCID,Boffano Paolo¹²^ORCID,Boglione Lucio¹⁴^ORCID,Borrè Silvio⁴^ORCID,Brucoli Matteo¹²^ORCID,Calzaducca Elisa¹²^ORCID,Cammarata Edoardo¹²^ORCID,Cantaluppi Vincenzo¹²^ORCID,Cantello Roberto¹²^ORCID,Capponi Andrea²^ORCID,Carriero Alessandro¹²^ORCID,Casciaro Giuseppe Francesco¹²^ORCID,Castello Luigi Mario¹²^ORCID,Ceruti Federico¹²^ORCID,Chichino Guido³^ORCID,Chirico Emilio¹²,Cisari Carlo¹²^ORCID,Cittone Micol Giulia¹²^ORCID,Colombo Crizia¹²^ORCID,Comi Cristoforo¹⁴^ORCID,Croce Eleonora¹⁴^ORCID,Daffara Tommaso¹²^ORCID,Danna Pietro¹²^ORCID,Della Corte Francesco¹²^ORCID,De Vecchi Simona¹²^ORCID,Dianzani Umberto¹²^ORCID,Di Benedetto Davide¹²^ORCID,Esposto Elia¹²^ORCID,Faggiano Fabrizio¹^ORCID,Falaschi Zeno¹²^ORCID,Ferrante Daniela¹^ORCID,Ferrero Alice¹²^ORCID,Gagliardi Ileana¹²^ORCID,Galbiati Alessandra¹²^ORCID,Gallo Silvia¹⁴^ORCID,Garavelli Pietro Luigi²^ORCID,Gardino Clara Ada¹²^ORCID,Garzaro Massimiliano¹²^ORCID,Gastaldello Maria Luisa¹²^ORCID,Gavelli Francesco¹²^ORCID,Gennari Alessandra¹²^ORCID,Giacomini Greta Maria¹²^ORCID,Giacone Irene¹⁴^ORCID,Giai Via Valentina¹²^ORCID,Giolitti Francesca¹²^ORCID,Gironi Laura Cristina¹²^ORCID,Gramaglia Carla¹²^ORCID,Grisafi Leonardo¹²^ORCID,Inserra Ilaria¹²^ORCID,Invernizzi Marco¹²^ORCID,Krengli Marco¹²^ORCID,Labella Emanuela¹²^ORCID,Landi Irene Cecilia¹²^ORCID,Landi Raffaella¹²^ORCID,Leone Ilaria¹²^ORCID,Lio Veronica¹²^ORCID,Lorenzini Luca¹²^ORCID,Maconi Antonio³^ORCID,Malerba Mario¹⁴^ORCID,Manfredi Giulia Francesca¹²^ORCID,Martelli Maria¹²^ORCID,Marzari Letizia¹²^ORCID,Marzullo Paolo¹²^ORCID,Mennuni Marco¹²^ORCID,Montabone Claudia¹⁴^ORCID,Morosini Umberto¹²^ORCID,Mussa Marco³^ORCID,Nerici Ilaria¹²^ORCID,Nuzzo Alessandro¹²^ORCID,Olivieri Carlo¹⁴^ORCID,Padelli Samuel Alberto¹⁴^ORCID,Panella Massimiliano¹^ORCID,Parisini Andrea³^ORCID,Paschè Alessio¹²^ORCID,Patrucco Filippo¹²^ORCID,Patti Giuseppe¹²^ORCID,Pau Alberto¹²^ORCID,Pedrinelli Anita Rebecca¹²^ORCID,Percivale Ilaria¹²^ORCID,Ragazzoni Luca¹^ORCID,Re Roberta¹⁴^ORCID,Rigamonti Cristina¹²^ORCID,Rizzi Eleonora¹²^ORCID,Rognoni Andrea¹²^ORCID,Roveta Annalisa³^ORCID,Salamina Luigia²^ORCID,Santagostino Matteo¹²^ORCID,Saraceno Massimo¹²^ORCID,Savoia Paola¹²^ORCID,Sciarra Marco³^ORCID,Schimmenti Andrea³^ORCID,Scotti Lorenza¹^ORCID,Spinoni Enrico¹²^ORCID,Smirne Carlo¹²^ORCID,Tarantino Vanessa¹²^ORCID,Tillio Paolo Amedeo¹⁴^ORCID,Tonello Stelvio¹^ORCID,Vaschetto Rosanna¹²^ORCID,Vassia Veronica¹²^ORCID,Zagaria Domenico¹²^ORCID,Zavattaro Elisa¹²^ORCID,Zeppegno Patrizia¹²^ORCID,Zottarelli Francesca¹²^ORCID,Sainaghi Pier Paolo¹²^ORCID

Affiliation:

1. Università del Piemonte Orientale UPO, Novara, Italy

2. “AOU Maggiore della Carità”, Novara, Italy

3. Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy

4. “Sant’Andrea” Hospital, Vercelli, Italy

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

/μL 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.

Publisher

Hindawi Limited

Subject

Biochemistry (medical),Clinical Biochemistry,Genetics,Molecular Biology,General Medicine

Link

http://downloads.hindawi.com/journals/dm/2021/8863053.pdf

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