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10.3389/fnut.2020.582736

http://scihub22266oqcxt.onion/10.3389/fnut.2020.582736
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33521032!7840577!33521032
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suck abstract from ncbi


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pmid33521032      Front+Nutr 2020 ; 7 (ä): 582736
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  • Predictive Value of Prognostic Nutritional Index on COVID-19 Severity #MMPMID33521032
  • Wang ZH; Lin YW; Wei XB; Li F; Liao XL; Yuan HQ; Huang DZ; Qin TH; Geng H; Wang SH
  • Front Nutr 2020[]; 7 (ä): 582736 PMID33521032show ga
  • Background: The prognostic nutritional index (PNI) has been described as a simple risk-stratified tool for several diseases. We explored the predictive role of the PNI on coronavirus disease 2019 (COVID-19) severity. Methods: A total of 101 patients with COVID-19 were included in this retrospective study from January 2020 to March 2020. They were divided into two groups according to COVID-19 severity: non-critical (n = 56) and critical (n = 45). The PNI was calculated upon hospital admission: 10 x serum albumin (g/dL) + 0.005 x total lymphocyte count (/mm(3)). Critical COVID-19 was defined as having one of the following features: respiratory failure necessitating mechanical ventilation; shock; organ dysfunction necessitating admission to the intensive care unit (ICU). The correlation between the PNI with COVID-19 severity was analyzed. Results: The PNI was significantly lower in critically ill than that in non-critically ill patients (P < 0.001). The receiver operating characteristic curve indicated that the PNI was a good discrimination factor for identifying COVID-19 severity (P < 0.001). Multivariate logistic regression analysis showed the PNI to be an independent risk factor for critical illness due to COVID-19 (P = 0.002). Conclusions: The PNI is a valuable biomarker that could be used to discriminate COVID-19 severity.
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