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10.1017/S0950268820001442

http://scihub22266oqcxt.onion/10.1017/S0950268820001442
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32600484!7343973!32600484
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suck abstract from ncbi


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pmid32600484      Epidemiol+Infect 2020 ; 148 (ä): e129
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  • Laboratory findings and a combined multifactorial approach to predict death in critically ill patients with COVID-19: a retrospective study #MMPMID32600484
  • Liu Q; Song NC; Zheng ZK; Li JS; Li SK
  • Epidemiol Infect 2020[Jun]; 148 (ä): e129 PMID32600484show ga
  • To describe the laboratory findings of cases of death with coronavirus disease 2019 (COVID-19) and to establish a scoring system for predicting death, we conducted this single-centre, retrospective, observational study including 336 adult patients (>/=18 years old) with severe or critically ill COVID-19 admitted in two wards of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology in Wuhan, who had definite outcomes (death or discharge) between 1 February 2020 and 13 March 2020. Single variable and multivariable logistic regression analyses were performed to identify mortality-related factors. We combined multiple factors to predict mortality, which was validated by receiver operating characteristic curves. As a result, in a total of 336 patients, 34 (10.1%) patients died during hospitalisation. Through multivariable logistic regression, we found that decreased lymphocyte ratio (Lymr, %) (odds ratio, OR 0.574, P < 0.001), elevated blood urea nitrogen (BUN) (OR 1.513, P = 0.009), and raised D-dimer (DD) (OR 1.334, P = 0.002) at admission were closely related to death. The combined prediction model was developed by these factors with a sensitivity of 100.0% and specificity of 97.2%. In conclusion, decreased Lymr, elevated BUN, and raised DD were found to be in association with death outcomes in critically ill patients with COVID-19. A scoring system was developed to predict the clinical outcome of these patients.
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Area Under Curve[MESH]
  • |Blood Chemical Analysis[MESH]
  • |Blood Urea Nitrogen[MESH]
  • |C-Reactive Protein/analysis[MESH]
  • |COVID-19[MESH]
  • |Causality[MESH]
  • |Coronavirus Infections/*blood/complications/epidemiology/*mortality[MESH]
  • |Critical Illness[MESH]
  • |Female[MESH]
  • |Fibrin Fibrinogen Degradation Products/analysis[MESH]
  • |Humans[MESH]
  • |Logistic Models[MESH]
  • |Lymphocyte Count[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*blood/complications/epidemiology/*mortality[MESH]
  • |ROC Curve[MESH]
  • |Respiration, Artificial[MESH]


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  • suck abstract from ncbi

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