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Clinical and hematological characteristics of 88 patients with COVID-19.

Abstract：

INTRODUCTION:To retrospectively analyze epidemiological, clinical and hematological characteristics of COVID-19 patients. METHODS:The demographic, symptoms, and physiological parameters of 88 patients were collected and analyzed. The performance of complete blood count (CBC) indexes for monitoring and predicting the severity of COVID-19 in patients was evaluated by analyzing and comparing CBC results among different COVID-19 patient groups. RESULTS:White blood cells (WBCs), the neutrophil percentage (Neu%), absolute neutrophil count (Neu#), and neutrophil-to-lymphocyte ratio (NLR) were significantly higher in the critical group than in the other three groups (P < .05), while the lymphocyte percentage (Lym%), monocyte percentage (Mon%), lymphocyte count (Lym#), and lymphocyte-to-monocyte ratio (LMR) were significantly lower in the critical group than in the other three groups (P < .05). WBCs, the Neu%, Neu#, NLR, and neutrophil-to-monocyte ratio (NMR) were significantly higher in the severe group than in the mild and moderate groups (P < .05), while the Lym% was significantly lower in the severe group than in the mild and moderate groups (P < .05). The Mon%, Lym#, and LMR were significantly lower in the severe group than in the moderate group (P < .05). Using receiver operating characteristic (ROC) curve analysis to differentiate severe and nonsevere patients, the areas under the curve (AUCs) for the NLR, Neu%, and Lym% were 0.733, 0.732, and 0.730, respectively. When differentiating critical patients from noncritical patients, the AUCs for the NLR, Neu%, and Lym% were 0.832, 0.831, and 0.831. CONCLUSIONS:The NLR is valuable for differentiating and predicting patients who will become critical within 4 weeks after the onset of COVID-19.

journal_name

Int J Lab Hematol

journal_title

International journal of laboratory hematology

authors

Zhang H,Cao X,Kong M,Mao X,Huang L,He P,Pan S,Li J,Lu Z

doi

10.1111/ijlh.13291

subject

Has Abstract

pub_date

2020-12-01 00:00:00

pages

780-787

issue

6

eissn

1751-5521

issn

1751-553X

journal_volume

42

pub_type

杂志文章

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