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  • Non-Overt Coagulopathy in Non-ICU Patients with Mild to Moderate COVID-19 Pneumonia #MMPMID32521707
  • Mazzaccaro D; Giacomazzi F; Giannetta M; Varriale A; Scaramuzzo R; Modafferi A; Malacrida G; Righini P; Marrocco-Trischitta MM; Nano G
  • J Clin Med 2020[Jun]; 9 (6): ä PMID32521707show ga
  • INTRODUCTION: Aim of the study is to assess the occurrence of early stage coagulopathy and disseminated intravascular coagulation (DIC) in patients with mild to moderate respiratory distress secondary to SARS-CoV-2 infection. MATERIALS AND METHODS: Data of patients hospitalized from 18 March 2020 to 20 April 2020 were retrospectively reviewed. Two scores for the screening of coagulopathy (SIC and non-overt DIC scores) were calculated. The occurrence of thrombotic complication, death, and worsening respiratory function requiring non-invasive ventilation (NIV) or admission to ICU were recorded, and these outcomes were correlated with the results of each score. Chi-square test, receiver-operating characteristic curve, and logistic regression analysis were used as appropriate. p Values < 0.05 were considered statistically significant. RESULTS: Data of 32 patients were analyzed. Overt-DIC was diagnosed in two patients (6.2%), while 26 (81.2%) met the criteria for non-overt DIC. Non-overt DIC score values >/=4 significantly correlated with the need of NIV/ICU (p = 0.02) and with the occurrence of thrombotic complications (p = 0.04). A score >/=4 was the optimal cut-off value, performing better than SIC score (p = 0.0018). Values >/=4 in patients with thrombotic complications were predictive of death (p = 0.03). CONCLUSIONS: Overt DIC occurred in 6.2% of non-ICU patients hospitalized for a mild to moderate COVID-19 respiratory distress, while 81.2% fulfilled the criteria for non-overt DIC. The non-overt DIC score performed better than the SIC score in predicting the need of NIV/ICU and the occurrence of thrombotic complications, as well as in predicting mortality in patients with thrombotic complications, with a score >/=4 being detected as the optimal cut-off.
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  • suck abstract from ncbi

    ä 6.9 2020