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10.1038/s41467-020-18786-x http://scihub22266oqcxt.onion/10.1038/s41467-020-18786-x 33009413!7532528!33009413     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nat+Commun 2020 ; 11 (1): 4968 Nephropedia Template TP {{tp|p=33009413|t=2020. Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics |pdf=|usr=}}{{33009413}} gab.com Text Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33009413 #FOAvip The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread to become a worldwide emergency. Early identification of patients at risk of progression may facilitate more individually aligned treatment plans and optimized utilization of medical resource. Here we conducted a multicenter retrospective study involving patients with moderate COVID-19 pneumonia to investigate the utility of chest computed tomography (CT) and clinical characteristics to risk-stratify the patients. Our results show that CT severity score is associated with inflammatory levels and that older age, higher neutrophil-to-lymphocyte ratio (NLR), and CT severity score on admission are independent risk factors for short-term progression. The nomogram based on these risk factors shows good calibration and discrimination in the derivation and validation cohorts. These findings have implications for predicting the progression risk of COVID-19 pneumonia patients at the time of admission. CT examination may help risk-stratification and guide the timing of admission. Twit Text FOAVip Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=33009413 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33009413 #FOAvip English Wikipedia <ref>{{Cite pmid|33009413}}</ref> Early prediction of disease progression in COVID-19 pneumonia patients with chest CT and clinical characteristics #MMPMID33009413 Feng Z; Yu Q; Yao S; Luo L; Zhou W; Mao X; Li J; Duan J; Yan Z; Yang M; Tan H; Ma M; Li T; Yi D; Mi Z; Zhao H; Jiang Y; He Z; Li H; Nie W; Liu Y; Zhao J; Luo M; Liu X; Rong P; Wang W Nat Commun 2020[Oct]; 11 (1): 4968 PMID33009413show ga The outbreak of coronavirus disease 2019 (COVID-19) has rapidly spread to become a worldwide emergency. Early identification of patients at risk of progression may facilitate more individually aligned treatment plans and optimized utilization of medical resource. Here we conducted a multicenter retrospective study involving patients with moderate COVID-19 pneumonia to investigate the utility of chest computed tomography (CT) and clinical characteristics to risk-stratify the patients. Our results show that CT severity score is associated with inflammatory levels and that older age, higher neutrophil-to-lymphocyte ratio (NLR), and CT severity score on admission are independent risk factors for short-term progression. The nomogram based on these risk factors shows good calibration and discrimination in the derivation and validation cohorts. These findings have implications for predicting the progression risk of COVID-19 pneumonia patients at the time of admission. CT examination may help risk-stratification and guide the timing of admission. |*Disease Progression[MESH] |*Pneumonia[MESH] |Adult[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |China[MESH] |Clinical Laboratory Techniques[MESH] |Coinfection[MESH] |Coronavirus Infections/*diagnosis/pathology/physiopathology[MESH] |Female[MESH] |Hospitalization[MESH] |Humans[MESH] |Lung/diagnostic imaging/pathology[MESH] |Lymphocytes[MESH] |Male[MESH] |Middle Aged[MESH] |Neutrophils[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/pathology/physiopathology[MESH] |Regression Analysis[MESH] |Retrospective Studies[MESH] |Risk Assessment[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH]Early prediction of disease progression in COVID-19 pneumonia patients(epmc).pdf DeepDyve Pubget Overpricing