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10.1111/ijlh.13291

http://scihub22266oqcxt.onion/10.1111/ijlh.13291
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32779860!7405137!32779860
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suck abstract from ncbi


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pmid32779860      Int+J+Lab+Hematol 2020 ; 42 (6): 780-787
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  • Clinical and hematological characteristics of 88 patients with COVID-19 #MMPMID32779860
  • Zhang H; Cao X; Kong M; Mao X; Huang L; He P; Pan S; Li J; Lu Z
  • Int J Lab Hematol 2020[Dec]; 42 (6): 780-787 PMID32779860show ga
  • 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.
  • |*Betacoronavirus[MESH]
  • |*Pandemics[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Area Under Curve[MESH]
  • |Blood Cell Count[MESH]
  • |COVID-19[MESH]
  • |Comorbidity[MESH]
  • |Coronavirus Infections/blood/*epidemiology[MESH]
  • |Diabetes Mellitus/epidemiology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Hypertension/epidemiology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pneumonia, Viral/blood/*epidemiology[MESH]
  • |ROC Curve[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]
  • |Severity of Illness Index[MESH]
  • |Symptom Assessment[MESH]


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