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10.1515/cclm-2020-0593 http://scihub22266oqcxt.onion/10.1515/cclm-2020-0593 32598302!ä!32598302 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 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Clin+Chem+Lab+Med 2020 ; 58 (9): 1587-1593 Nephropedia Template TP {{tp|p=32598302|t=2020. Rapid identification of SARS-CoV-2-infected patients at the emergency department using routine testing |pdf=|usr=}}{{32598302}} gab.com Text Rapid identification of SARS-CoV-2-infected patients at the emergency department using routine testing JO: Clin Chem Lab Med http://www.kidney.de/pget.php?&tw=1&pmid=32598302 #FOAvip OBJECTIVES: The novel coronavirus disease 19 (COVID-19), caused by SARS-CoV-2, spreads rapidly across the world. The exponential increase in the number of cases has resulted in overcrowding of emergency departments (ED). Detection of SARS-CoV-2 is based on an RT-PCR of nasopharyngeal swab material. However, RT-PCR testing is time-consuming and many hospitals deal with a shortage of testing materials. Therefore, we aimed to develop an algorithm to rapidly evaluate an individual's risk of SARS-CoV-2 infection at the ED. METHODS: In this multicenter retrospective study, routine laboratory parameters (C-reactive protein, lactate dehydrogenase, ferritin, absolute neutrophil and lymphocyte counts), demographic data and the chest X-ray/CT result from 967 patients entering the ED with respiratory symptoms were collected. Using these parameters, an easy-to-use point-based algorithm, called the corona-score, was developed to discriminate between patients that tested positive for SARS-CoV-2 by RT-PCR and those testing negative. Computational sampling was used to optimize the corona-score. Validation of the model was performed using data from 592 patients. RESULTS: The corona-score model yielded an area under the receiver operating characteristic curve of 0.91 in the validation population. Patients testing negative for SARS-CoV-2 showed a median corona-score of 3 vs. 11 (scale 0-14) in patients testing positive for SARS-CoV-2 (p<0.001). Using cut-off values of 4 and 11 the model has a sensitivity and specificity of 96 and 95%, respectively. CONCLUSIONS: The corona-score effectively predicts SARS-CoV-2 RT-PCR outcome based on routine parameters. This algorithm provides the means for medical professionals to rapidly evaluate SARS-CoV-2 infection status of patients presenting at the ED with respiratory symptoms. Twit Text FOAVip Rapid identification of SARS-CoV-2-infected patients at the emergency department using routine testing ????Clin Chem Lab Med http://www.kidney.de/pget.php?&tw=1&pmid=32598302 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32598302 #FOAvip English Wikipedia <ref>{{Cite pmid|32598302}}</ref> Rapid identification of SARS-CoV-2-infected patients at the emergency department using routine testing #MMPMID32598302 Kurstjens S; van der Horst A; Herpers R; Geerits MWL; Kluiters-de Hingh YCM; Gottgens EL; Blaauw MJT; Thelen MHM; Elisen MGLM; Kusters R Clin Chem Lab Med 2020[Aug]; 58 (9): 1587-1593 PMID32598302show ga OBJECTIVES: The novel coronavirus disease 19 (COVID-19), caused by SARS-CoV-2, spreads rapidly across the world. The exponential increase in the number of cases has resulted in overcrowding of emergency departments (ED). Detection of SARS-CoV-2 is based on an RT-PCR of nasopharyngeal swab material. However, RT-PCR testing is time-consuming and many hospitals deal with a shortage of testing materials. Therefore, we aimed to develop an algorithm to rapidly evaluate an individual's risk of SARS-CoV-2 infection at the ED. METHODS: In this multicenter retrospective study, routine laboratory parameters (C-reactive protein, lactate dehydrogenase, ferritin, absolute neutrophil and lymphocyte counts), demographic data and the chest X-ray/CT result from 967 patients entering the ED with respiratory symptoms were collected. Using these parameters, an easy-to-use point-based algorithm, called the corona-score, was developed to discriminate between patients that tested positive for SARS-CoV-2 by RT-PCR and those testing negative. Computational sampling was used to optimize the corona-score. Validation of the model was performed using data from 592 patients. RESULTS: The corona-score model yielded an area under the receiver operating characteristic curve of 0.91 in the validation population. Patients testing negative for SARS-CoV-2 showed a median corona-score of 3 vs. 11 (scale 0-14) in patients testing positive for SARS-CoV-2 (p<0.001). Using cut-off values of 4 and 11 the model has a sensitivity and specificity of 96 and 95%, respectively. CONCLUSIONS: The corona-score effectively predicts SARS-CoV-2 RT-PCR outcome based on routine parameters. This algorithm provides the means for medical professionals to rapidly evaluate SARS-CoV-2 infection status of patients presenting at the ED with respiratory symptoms. |*Algorithms[MESH] |*Betacoronavirus[MESH] |Aged[MESH] |C-Reactive Protein/analysis[MESH] |COVID-19[MESH] |COVID-19 Testing[MESH] |Clinical Laboratory Techniques[MESH] |Coronavirus Infections/blood/*diagnosis[MESH] |Diagnostic Tests, Routine/*methods[MESH] |Emergency Service, Hospital[MESH] |Female[MESH] |Ferritins/blood[MESH] |Humans[MESH] |L-Lactate Dehydrogenase/blood[MESH] |Lymphocyte Count[MESH] |Male[MESH] |Middle Aged[MESH] |Neutrophils/metabolism[MESH] |Pandemics[MESH] |Pneumonia, Viral/blood/*diagnosis[MESH] |Retrospective Studies[MESH] |Reverse Transcriptase Polymerase Chain Reaction[MESH]Rapid identification of SARS-CoV-2-infected patients at the emergency (epmc).pdf DeepDyve Pubget Overpricing