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10.7883/yoken.JJID.2020.194 http://scihub22266oqcxt.onion/10.7883/yoken.JJID.2020.194 32475880!ä!32475880 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Jpn+J+Infect+Dis 2020 ; 73 (6): 404-410 Nephropedia Template TP {{tp|p=32475880|t=2020. Prediction of the Severity of the Coronavirus Disease and Its Adverse Clinical Outcomes |pdf=|usr=}}{{32475880}} gab.com Text Prediction of the Severity of the Coronavirus Disease and Its Adverse Clinical Outcomes JO: Jpn J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32475880 #FOAvip This study aims to investigate blood and biochemical laboratory findings in patients with severe coronavirus disease 2019 (COVID-19) and to develop a joint predictor for predicting the likelihood of severe COVID-19 and its adverse clinical outcomes and to provide more information for treatment. We collected the data of 88 patients with laboratory-confirmed COVID-19. Further, the patients were divided into a non-severe group and a critical group (including critically ill cases). Univariate analysis showed that the absolute lymphocyte count, albumin level, albumin/globulin ratio, lactate dehydrogenase level, interleukin-6 (IL-6) level, erythrocyte count, globulin level, blood glucose level, and age were significantly correlated with the severity of COVID-19. The multivariate binary logistic regression model revealed that age, absolute lymphocyte count, and IL-6 level were independent risk factors in patients with COVID-19. The receiver operating characteristic curve revealed that the combination of IL-6 level, absolute lymphocyte count, and age is superior to a single factor as predictors for severe COVID-19, regardless of whether it is in terms of the area under the curve or the prediction sensitivity and specificity. Early application is beneficial to early identification of critically ill patients and timing individual treatments to reduce mortality. Twit Text FOAVip Prediction of the Severity of the Coronavirus Disease and Its Adverse Clinical Outcomes ????Jpn J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32475880 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32475880 #FOAvip English Wikipedia <ref>{{Cite pmid|32475880}}</ref> Prediction of the Severity of the Coronavirus Disease and Its Adverse Clinical Outcomes #MMPMID32475880 Liu X; Shi S; Xiao J; Wang H; Chen L; Li J; Han K Jpn J Infect Dis 2020[Nov]; 73 (6): 404-410 PMID32475880show ga This study aims to investigate blood and biochemical laboratory findings in patients with severe coronavirus disease 2019 (COVID-19) and to develop a joint predictor for predicting the likelihood of severe COVID-19 and its adverse clinical outcomes and to provide more information for treatment. We collected the data of 88 patients with laboratory-confirmed COVID-19. Further, the patients were divided into a non-severe group and a critical group (including critically ill cases). Univariate analysis showed that the absolute lymphocyte count, albumin level, albumin/globulin ratio, lactate dehydrogenase level, interleukin-6 (IL-6) level, erythrocyte count, globulin level, blood glucose level, and age were significantly correlated with the severity of COVID-19. The multivariate binary logistic regression model revealed that age, absolute lymphocyte count, and IL-6 level were independent risk factors in patients with COVID-19. The receiver operating characteristic curve revealed that the combination of IL-6 level, absolute lymphocyte count, and age is superior to a single factor as predictors for severe COVID-19, regardless of whether it is in terms of the area under the curve or the prediction sensitivity and specificity. Early application is beneficial to early identification of critically ill patients and timing individual treatments to reduce mortality. |*COVID-19 Testing/statistics & numerical data[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*diagnosis/epidemiology/*pathology[MESH] |Female[MESH] |Humans[MESH] |Interleukin-6/blood[MESH] |Logistic Models[MESH] |Lymphocyte Count[MESH] |Male[MESH] |Middle Aged[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |Risk Assessment[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH] |Severity of Illness Index[MESH]Prediction of the Severity of the Coronavirus Disease and Its Adverse (epmc).pdf DeepDyve Pubget Overpricing