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10.1038/s41598-021-00190-0 http://scihub22266oqcxt.onion/10.1038/s41598-021-00190-0 34675240!8531346!34675240     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=34675240&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Rep 2021 ; 11 (1): 20793 Nephropedia Template TP {{tp|p=34675240|t=2021. Cytokine signature and COVID-19 prediction models in the two waves of pandemics |pdf=|usr=}}{{34675240}} gab.com Text Cytokine signature and COVID-19 prediction models in the two waves of pandemics JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=34675240 #FOAvip In Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed, as compared with the first. IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools. Twit Text FOAVip Cytokine signature and COVID-19 prediction models in the two waves of pandemics ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=34675240 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34675240 #FOAvip English Wikipedia <ref>{{Cite pmid|34675240}}</ref> Cytokine signature and COVID-19 prediction models in the two waves of pandemics #MMPMID34675240 Cabaro S; D'Esposito V; Di Matola T; Sale S; Cennamo M; Terracciano D; Parisi V; Oriente F; Portella G; Beguinot F; Atripaldi L; Sansone M; Formisano P Sci Rep 2021[Oct]; 11 (1): 20793 PMID34675240show ga In Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed, as compared with the first. IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools. |Aged[MESH] |Biomarkers/blood[MESH] |COVID-19 Testing[MESH] |COVID-19/*blood/*epidemiology[MESH] |Case-Control Studies[MESH] |Cytokines/*blood/metabolism[MESH] |Discriminant Analysis[MESH] |Female[MESH] |Humans[MESH] |Interleukin-6/metabolism[MESH] |Interleukin-8/metabolism[MESH] |Italy/epidemiology[MESH] |Machine Learning[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Regression Analysis[MESH]Cytokine signature and COVID-19 prediction models in the two waves of (epmc).pdf DeepDyve Pubget Overpricing