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10.1016/j.isci.2021.102752 http://scihub22266oqcxt.onion/10.1016/j.isci.2021.102752 34179733!8213514!34179733     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\34179733.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       iScience 2021 ; 24 (7): 102752 Nephropedia Template TP {{tp|p=34179733|t=2021. Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19 |pdf=|usr=}}{{34179733}} gab.com Text Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19 JO: iScience http://www.kidney.de/pget.php?&tw=1&pmid=34179733 #FOAvip COVID-19 is a respiratory tract infection that can affect multiple organ systems. Predicting the severity and clinical outcome of individual patients is a major unmet clinical need that remains challenging due to intra- and inter-patient variability. Here, we longitudinally profiled and integrated more than 150 clinical, laboratory, and immunological parameters of 173 patients with mild to fatal COVID-19. Using systems biology, we detected progressive dysregulation of multiple parameters indicative of organ damage that correlated with disease severity, particularly affecting kidneys, hepatobiliary system, and immune landscape. By performing unsupervised clustering and trajectory analysis, we identified T and B cell depletion as early indicators of a complicated disease course. In addition, markers of hepatobiliary damage emerged as robust predictor of lethal outcome in critically ill patients. This allowed us to propose a novel clinical COVID-19 SeveriTy (COST) score that distinguishes complicated disease trajectories and predicts lethal outcome in critically ill patients. Twit Text FOAVip Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19 ????iScience http://www.kidney.de/pget.php?&tw=1&pmid=34179733 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34179733 #FOAvip English Wikipedia <ref>{{Cite pmid|34179733}}</ref> Multi-dimensional and longitudinal systems profiling reveals predictive pattern of severe COVID-19 #MMPMID34179733 Woo MS; Haag F; Nierhaus A; Jarczak D; Roedl K; Mayer C; Brehm TT; van der Meirschen M; Hennigs A; Christopeit M; Fiedler W; Karagiannis P; Burdelski C; Schultze A; Huber S; Addo MM; Schmiedel S; Friese MA; Kluge S; Schulze Zur Wiesch J iScience 2021[Jul]; 24 (7): 102752 PMID34179733show ga COVID-19 is a respiratory tract infection that can affect multiple organ systems. Predicting the severity and clinical outcome of individual patients is a major unmet clinical need that remains challenging due to intra- and inter-patient variability. Here, we longitudinally profiled and integrated more than 150 clinical, laboratory, and immunological parameters of 173 patients with mild to fatal COVID-19. Using systems biology, we detected progressive dysregulation of multiple parameters indicative of organ damage that correlated with disease severity, particularly affecting kidneys, hepatobiliary system, and immune landscape. By performing unsupervised clustering and trajectory analysis, we identified T and B cell depletion as early indicators of a complicated disease course. In addition, markers of hepatobiliary damage emerged as robust predictor of lethal outcome in critically ill patients. This allowed us to propose a novel clinical COVID-19 SeveriTy (COST) score that distinguishes complicated disease trajectories and predicts lethal outcome in critically ill patients. äMulti-dimensional and longitudinal systems profiling reveals predictiv(epmc).pdf DeepDyve Pubget Overpricing