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10.1016/j.thromres.2020.05.006

http://scihub22266oqcxt.onion/10.1016/j.thromres.2020.05.006
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32407937!7201241!32407937
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  • The clinical implication of dynamic neutrophil to lymphocyte ratio and D-dimer in COVID-19: A retrospective study in Suzhou China #MMPMID32407937
  • Fu J; Kong J; Wang W; Wu M; Yao L; Wang Z; Jin J; Wu D; Yu X
  • Thromb Res 2020[Aug]; 192 (ä): 3-8 PMID32407937show ga
  • OBJECTIVE: To investigate the clinical features of COVID-19 cases in Suzhou China. Biomarkers were screened out of hematological parameters for risk stratification. METHOD: Confirmed COVID-19 adult patients in Suzhou were included. The patient data was collected, and the results of laboratory examinations were compared between the mild/moderate and severe COVID-19 groups. A ROC was calculated to compare the diagnostic performance of candidate indexes, and dynamic levels of hematological indexes were compared between the two groups. RESULT: 75 patients were enrolled, with a mean age of 46.6+/-14years, and 45 patients were male. All patients were classified into two groups: the mild/moderate group and the severe group. WBC, neutrophil to lymphocyte ratio (NLR), D-dimer, and fibrinogen levels of the severe group were significantly higher (P<0.05) than the mild/moderate, and the lymphocyte was lower. The ROC test showed that the hematological parameters had a larger AUC than that of inflammatory factors. There was a significant difference in lymphocyte and fibrinogen levels between the two groups on day 1 (P<0.05). However, NLR of the severe group was higher than the mild/moderate on days 1, 4 and 14 (P<0.01), and so was D-dimer on days 1, 7 and 14 (P<0.05). CONCLUSION: The common COVID-19 abnormal hematological indexes on admission included hyperfibrinogenemia, lymphopenia, the elevation of D-dimer, and leukopenia, which were significantly different between the mild/moderate and severe COVID-19 groups. Furthermore, the dynamic change of NLR and D-dimer level can distinguish severe COVID-19 cases from the mild/moderate.
  • |*Clinical Laboratory Techniques[MESH]
  • |*Lymphocytes[MESH]
  • |*Neutrophils[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Betacoronavirus/*pathogenicity[MESH]
  • |Biomarkers/blood[MESH]
  • |China[MESH]
  • |Coronavirus Infections/blood/*diagnosis/therapy/virology[MESH]
  • |Female[MESH]
  • |Fibrin Fibrinogen Degradation Products/*analysis[MESH]
  • |Host-Pathogen Interactions[MESH]
  • |Humans[MESH]
  • |Lymphocyte Count[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/blood/*diagnosis/therapy/virology[MESH]
  • |Predictive Value of Tests[MESH]
  • |Prognosis[MESH]
  • |Reproducibility of Results[MESH]
  • |Retrospective Studies[MESH]
  • |Severity of Illness Index[MESH]
  • |Young Adult[MESH]


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  • suck abstract from ncbi

    3 ä.192 2020