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

被引：23

作者：

Bellan, Mattia ^{[1
,2
]}

Azzolina, Danila ^{[1
]}

Hayden, Eyal ^{[1
,2
]}

Gaidano, Gianluca ^{[1
,2
]}

Pirisi, Mario ^{[1
,2
]}

Acquaviva, Antonio ^{[1
,2
]}

Aimaretti, Gianluca ^{[1
,2
]}

Aluffi Valletti, Paolo ^{[1
,2
]}

Angilletta, Roberto ^{[3
]}

Arioli, Roberto ^{[1
,2
]}

Avanzi, Gian Carlo ^{[1
,2
]}

Avino, Gianluca ^{[1
,2
]}

Balbo, Piero Emilio ^{[2
]}

Baldon, Giulia ^{[1
,2
]}

Baorda, Francesca ^{[1
,4
]}

Barbero, Emanuela ^{[1
,2
]}

Baricich, Alessio ^{[1
,2
]}

Barini, Michela ^{[2
]}

Barone-Adesi, Francesco ^{[1
]}

Battistini, Sofia ^{[1
,2
]}

Beltrame, Michela ^{[1
,2
]}

Bertoli, Matteo ^{[1
,2
]}

Bertolin, Stephanie ^{[1
,2
]}

Bertolotti, Marinella ^{[3
]}

Betti, Marta ^{[3
]}

Bobbio, Flavio ^{[2
]}

Boffano, Paolo ^{[1
,2
]}

Boglione, Lucio ^{[1
,4
]}

Borre, Silvio ^{[4
]}

Brucoli, Matteo ^{[1
,2
]}

Calzaducca, Elisa ^{[1
,2
]}

Cammarata, Edoardo ^{[1
,2
]}

Cantaluppi, Vincenzo ^{[1
,2
]}

Cantello, Roberto ^{[1
,2
]}

Capponi, Andrea ^{[2
]}

Carriero, Alessandro ^{[1
,2
]}

Casciaro, Giuseppe Francesco ^{[1
,2
]}

Castello, Luigi Mario ^{[1
,2
]}

Ceruti, Federico ^{[1
,2
]}

Chichino, Guido ^{[3
]}

Chirico, Emilio ^{[1
,2
]}

Cisari, Carlo ^{[1
,2
]}

Cittone, Micol Giulia ^{[1
,2
]}

Colombo, Crizia ^{[1
,2
]}

Comi, Cristoforo ^{[1
,4
]}

Croce, Eleonora ^{[1
,4
]}

Daffara, Tommaso ^{[1
,2
]}

Danna, Pietro ^{[1
,2
]}

Della Corte, Francesco ^{[1
,2
]}

De Vecchi, Simona ^{[1
,2
]}

机构：

[1] Univ Piemonte Orientale UPO, Novara, Italy

[2] AOU Maggiore Carita, Novara, Italy

[3] Azienda Osped SS Antonio & Biagio & Cesare Arrigo, Alessandria, Italy

[4] St Andrea Hosp, Vercelli, Italy

来源：

DISEASE MARKERS | 2021年 / 2021卷

关键词：

CELL DISTRIBUTION WIDTH; CORONAVIRUS DISEASE; SCORE; RISK;

D O I：

10.1155/2021/8863053

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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) (chi(2) 10.4; p<0.001), neutrophil-to-lymphocyte (NL) ratio (chi(2) 7.6; p=0.006), and platelet count (chi(2) 5.39; p=0.02), along with age (chi(2) 87.6; p<0.001) and gender (chi(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/mu 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.

引用

页数：7

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