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10.1097/MD.0000000000022433 http://scihub22266oqcxt.onion/10.1097/MD.0000000000022433 33080676!7571935!33080676     free     free     free 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 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Medicine+(Baltimore) 2020 ; 99 (42): e22433 Nephropedia Template TP {{tp|p=33080676|t=2020. The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia |pdf=|usr=}}{{33080676}} gab.com Text The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia JO: Medicine (Baltimore) http://www.kidney.de/pget.php?&tw=1&pmid=33080676 #FOAvip The chest computed tomography (CT) characteristics of coronavirus disease 2019 (COVID-19) are important for diagnostic and prognostic purposes. The aim of this study was to investigate chest CT findings in COVID-19 patients in order to determine the optimal cut-off value of a CT severity score that can be considered a potential prognostic indicator of a severe/critical outcome.The CT findings were evaluated by means of a severity score that included the extent (0-4 grading scale) and nature (0-4 grading scale) of CT abnormalities. The images were evaluated at 3 levels bilaterally. A receiver operating characteristics (ROC) curve was used to identify the optimal score (Youden's index) predicting severe/critical COVID-19.The study involved 165 COVID-19 patients (131 men [79.4%] and 34 women [20.6%] with a mean age of 61.5 +/- 12.5 years), of whom 30 (18.2%) had severe/critical disease and 135 (81.8%) mild/typical disease. The most frequent CT finding was bilateral predominantly subpleural and basilar airspace changes, with more extensive ground-glass opacities than consolidation. CT findings of consolidation, a crazy-paving pattern, linear opacities, air bronchogram, and extrapulmonary lesions correlated with severe/critical COVID-19. The mean CT severity score was 63.95 in the severe/critical group, and 35.62 in the mild/typical group (P < .001). ROC curve analysis showed that a CT severity score of 38 predicted the development of severe/critical symptoms.A CT severity score can help the risk stratification of COVID-19 patients. Twit Text FOAVip The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia ????Medicine (Baltimore) http://www.kidney.de/pget.php?&tw=1&pmid=33080676 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33080676 #FOAvip English Wikipedia <ref>{{Cite pmid|33080676}}</ref> The role of a chest computed tomography severity score in coronavirus disease 2019 pneumonia #MMPMID33080676 Salaffi F; Carotti M; Tardella M; Borgheresi A; Agostini A; Minorati D; Marotto D; Di Carlo M; Galli M; Giovagnoni A; Sarzi-Puttini P Medicine (Baltimore) 2020[Oct]; 99 (42): e22433 PMID33080676show ga The chest computed tomography (CT) characteristics of coronavirus disease 2019 (COVID-19) are important for diagnostic and prognostic purposes. The aim of this study was to investigate chest CT findings in COVID-19 patients in order to determine the optimal cut-off value of a CT severity score that can be considered a potential prognostic indicator of a severe/critical outcome.The CT findings were evaluated by means of a severity score that included the extent (0-4 grading scale) and nature (0-4 grading scale) of CT abnormalities. The images were evaluated at 3 levels bilaterally. A receiver operating characteristics (ROC) curve was used to identify the optimal score (Youden's index) predicting severe/critical COVID-19.The study involved 165 COVID-19 patients (131 men [79.4%] and 34 women [20.6%] with a mean age of 61.5 +/- 12.5 years), of whom 30 (18.2%) had severe/critical disease and 135 (81.8%) mild/typical disease. The most frequent CT finding was bilateral predominantly subpleural and basilar airspace changes, with more extensive ground-glass opacities than consolidation. CT findings of consolidation, a crazy-paving pattern, linear opacities, air bronchogram, and extrapulmonary lesions correlated with severe/critical COVID-19. The mean CT severity score was 63.95 in the severe/critical group, and 35.62 in the mild/typical group (P < .001). ROC curve analysis showed that a CT severity score of 38 predicted the development of severe/critical symptoms.A CT severity score can help the risk stratification of COVID-19 patients. |Adult[MESH] |Aged[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*diagnostic imaging/*pathology[MESH] |Female[MESH] |Humans[MESH] |Lung/diagnostic imaging/pathology[MESH] |Male[MESH] |Middle Aged[MESH] |Oxygen/blood[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnostic imaging/*pathology[MESH] |Prognosis[MESH] |ROC Curve[MESH] |Respiratory Rate[MESH] |SARS-CoV-2[MESH]The role of a chest computed tomography severity score in coronavirus (epmc).pdf DeepDyve Pubget Overpricing