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10.1016/j.ajem.2020.07.019 http://scihub22266oqcxt.onion/10.1016/j.ajem.2020.07.019 C7354270!7354270!33142178     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 253.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Am+J+Emerg+Med 2020 ; 38 (10): 2074-80 Nephropedia Template TP {{tp|p=33142178|t=2020. Predictive performance of SOFA and qSOFA for in-hospital mortality in severe novel coronavirus disease |pdf=|usr=}}{{33142178}} gab.com Text Predictive performance of SOFA and qSOFA for in-hospital mortality in severe novel coronavirus disease JO: Am J Emerg Med http://www.kidney.de/pget.php?&tw=1&pmid=33142178 #FOAvip Objectives: The assessment of illness severity at admission can contribute to decreased mortality in patients with the coronavirus disease (COVID-19). This study was conducted to evaluate the effectiveness of the Sequential Organ Failure Assessment (SOFA) and Quick Sequential Organ Failure Assessment (qSOFA) scoring systems at admission for the prediction of mortality risk in COVID-19 patients. Methods: We included 140 critically ill COVID-19 patients. Data on demographics, clinical characteristics, and laboratory findings at admission were used to calculate SOFA and qSOFA against the in-hospital outcomes (survival or death) that were ascertained from the medical records. The predictive accuracy of both scoring systems was evaluated by the receiver operating characteristic (ROC) curve analysis. Results: The area under the ROC curve for SOFA in predicting mortality was 0.890 (95% CI: 0.826?0.955), which was higher than that of qSOFA (0.742, 95% CI 0.657?0.816). An optimal cutoff of ?3 for SOFA had sensitivity, specificity, positive predictive value, and negative predictive value of 90.00%, 83.18%, 50.00%, and 97.80%, respectively. Conclusions: This novel report indicates that SOFA could function as an effective adjunctive risk-stratification tool at admission for critical COVID-19 patients. The performance of qSOFA is accepted but inferior to that of SOFA. Twit Text FOAVip Predictive performance of SOFA and qSOFA for in-hospital mortality in severe novel coronavirus disease ????Am J Emerg Med http://www.kidney.de/pget.php?&tw=1&pmid=33142178 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33142178 #FOAvip English Wikipedia <ref>{{Cite pmid|33142178}}</ref> Predictive performance of SOFA and qSOFA for in-hospital mortality in severe novel coronavirus disease #MMPMID33142178 Liu S; Yao N; Qiu Y; He C Am J Emerg Med 2020[Oct]; 38 (10): 2074-80 PMID33142178show ga Objectives: The assessment of illness severity at admission can contribute to decreased mortality in patients with the coronavirus disease (COVID-19). This study was conducted to evaluate the effectiveness of the Sequential Organ Failure Assessment (SOFA) and Quick Sequential Organ Failure Assessment (qSOFA) scoring systems at admission for the prediction of mortality risk in COVID-19 patients. Methods: We included 140 critically ill COVID-19 patients. Data on demographics, clinical characteristics, and laboratory findings at admission were used to calculate SOFA and qSOFA against the in-hospital outcomes (survival or death) that were ascertained from the medical records. The predictive accuracy of both scoring systems was evaluated by the receiver operating characteristic (ROC) curve analysis. Results: The area under the ROC curve for SOFA in predicting mortality was 0.890 (95% CI: 0.826?0.955), which was higher than that of qSOFA (0.742, 95% CI 0.657?0.816). An optimal cutoff of ?3 for SOFA had sensitivity, specificity, positive predictive value, and negative predictive value of 90.00%, 83.18%, 50.00%, and 97.80%, respectively. Conclusions: This novel report indicates that SOFA could function as an effective adjunctive risk-stratification tool at admission for critical COVID-19 patients. The performance of qSOFA is accepted but inferior to that of SOFA. äPredictive performance of SOFA and qSOFA for in-hospital mortality in (epmc).pdf DeepDyve Pubget Overpricing