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10.1093/infdis/jiab108

http://scihub22266oqcxt.onion/10.1093/infdis/jiab108
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33625513!7928794!33625513
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suck abstract from ncbi


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pmid33625513      J+Infect+Dis 2021 ; 223 (9): 1544-1554
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  • The Activin/Follistatin Axis Is Severely Deregulated in COVID-19 and Independently Associated With In-Hospital Mortality #MMPMID33625513
  • Synolaki E; Papadopoulos V; Divolis G; Tsahouridou O; Gavriilidis E; Loli G; Gavriil A; Tsigalou C; Tziolos NR; Sertaridou E; Kalra B; Kumar A; Rafailidis P; Pasternack A; Boumpas DT; Germanidis G; Ritvos O; Metallidis S; Skendros P; Sideras P
  • J Infect Dis 2021[May]; 223 (9): 1544-1554 PMID33625513show ga
  • BACKGROUND: Activins are members of the transforming growth factor-beta superfamily implicated in the pathogenesis of several immunoinflammatory disorders. Based on our previous studies demonstrating that overexpression of activin-A in murine lung causes pathology sharing key features of coronavirus disease 2019 (COVID-19), we hypothesized that activins and their natural inhibitor follistatin might be particularly relevant to COVID-19 pathophysiology. METHODS: Activin-A, activin-B, and follistatin were retrospectively analyzed in 574 serum samples from 263 COVID-19 patients hospitalized in 3 independent centers, and compared with demographic, clinical, and laboratory parameters. Optimal scaling with ridge regression was used to screen variables and establish a prediction model. RESULT: The activin/follistatin axis was significantly deregulated during the course of COVID-19, correlated with severity and independently associated with mortality. FACT-CLINYCoD, a scoring system incorporating follistatin, activin-A, activin-B, C-reactive protein, lactate dehydrogenase, intensive care unit admission, neutrophil/lymphocyte ratio, age, comorbidities, and D-dimers, efficiently predicted fatal outcome (area under the curve [AUC], 0.951; 95% confidence interval, .919-.983; P <10-6). Two validation cohorts indicated similar AUC values. CONCLUSIONS: This study demonstrates a link between activin/follistatin axis and COVID-19 mortality and introduces FACT-CLINYCoD, a novel pathophysiology-based tool that allows dynamic prediction of disease outcome, supporting clinical decision making.
  • |*SARS-CoV-2[MESH]
  • |Activins/*blood[MESH]
  • |Aged[MESH]
  • |Biomarkers[MESH]
  • |COVID-19/*blood/*mortality/physiopathology[MESH]
  • |Cohort Studies[MESH]
  • |Decision Support Techniques[MESH]
  • |Female[MESH]
  • |Follistatin/*blood[MESH]
  • |Greece/epidemiology[MESH]
  • |Hospital Mortality[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]


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