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10.1016/j.jcv.2020.104502 http://scihub22266oqcxt.onion/10.1016/j.jcv.2020.104502 32544861!7286235!32544861     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 267.2 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 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Clin+Virol 2020 ; 129 (ä): 104502 Nephropedia Template TP {{tp|p=32544861|t=2020. A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results |pdf=|usr=}}{{32544861}} gab.com Text A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results JO: J Clin Virol http://www.kidney.de/pget.php?&tw=1&pmid=32544861 #FOAvip BACKGROUND: Testing for COVID-19 remains limited in the United States and across the world. Poor allocation of limited testing resources leads to misutilization of health system resources, which complementary rapid testing tools could ameliorate. OBJECTIVE: To predict SARS-CoV-2 PCR positivity based on complete blood count components and patient sex. STUDY DESIGN: A retrospective case-control design for collection of data and a logistic regression prediction model was used. Participants were emergency department patients > 18 years old who had concurrent complete blood counts and SARS-CoV-2 PCR testing. 33 confirmed SARS-CoV-2 PCR positive and 357 negative patients at Stanford Health Care were used for model training. Validation cohorts consisted of emergency department patients > 18 years old who had concurrent complete blood counts and SARS-CoV-2 PCR testing in Northern California (41 PCR positive, 495 PCR negative), Seattle, Washington (40 PCR positive, 306 PCR negative), Chicago, Illinois (245 PCR positive, 1015 PCR negative), and South Korea (9 PCR positive, 236 PCR negative). RESULTS: A decision support tool that utilizes components of complete blood count and patient sex for prediction of SARS-CoV-2 PCR positivity demonstrated a C-statistic of 78 %, an optimized sensitivity of 93 %, and generalizability to other emergency department populations. By restricting PCR testing to predicted positive patients in a hypothetical scenario of 1000 patients requiring testing but testing resources limited to 60 % of patients, this tool would allow a 33 % increase in properly allocated resources. CONCLUSIONS: A prediction tool based on complete blood count results can better allocate SARS-CoV-2 testing and other health care resources such as personal protective equipment during a pandemic surge. Twit Text FOAVip A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results ????J Clin Virol http://www.kidney.de/pget.php?&tw=1&pmid=32544861 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32544861 #FOAvip English Wikipedia <ref>{{Cite pmid|32544861}}</ref> A predictive tool for identification of SARS-CoV-2 PCR-negative emergency department patients using routine test results #MMPMID32544861 Joshi RP; Pejaver V; Hammarlund NE; Sung H; Lee SK; Furmanchuk A; Lee HY; Scott G; Gombar S; Shah N; Shen S; Nassiri A; Schneider D; Ahmad FS; Liebovitz D; Kho A; Mooney S; Pinsky BA; Banaei N J Clin Virol 2020[Aug]; 129 (ä): 104502 PMID32544861show ga BACKGROUND: Testing for COVID-19 remains limited in the United States and across the world. Poor allocation of limited testing resources leads to misutilization of health system resources, which complementary rapid testing tools could ameliorate. OBJECTIVE: To predict SARS-CoV-2 PCR positivity based on complete blood count components and patient sex. STUDY DESIGN: A retrospective case-control design for collection of data and a logistic regression prediction model was used. Participants were emergency department patients > 18 years old who had concurrent complete blood counts and SARS-CoV-2 PCR testing. 33 confirmed SARS-CoV-2 PCR positive and 357 negative patients at Stanford Health Care were used for model training. Validation cohorts consisted of emergency department patients > 18 years old who had concurrent complete blood counts and SARS-CoV-2 PCR testing in Northern California (41 PCR positive, 495 PCR negative), Seattle, Washington (40 PCR positive, 306 PCR negative), Chicago, Illinois (245 PCR positive, 1015 PCR negative), and South Korea (9 PCR positive, 236 PCR negative). RESULTS: A decision support tool that utilizes components of complete blood count and patient sex for prediction of SARS-CoV-2 PCR positivity demonstrated a C-statistic of 78 %, an optimized sensitivity of 93 %, and generalizability to other emergency department populations. By restricting PCR testing to predicted positive patients in a hypothetical scenario of 1000 patients requiring testing but testing resources limited to 60 % of patients, this tool would allow a 33 % increase in properly allocated resources. CONCLUSIONS: A prediction tool based on complete blood count results can better allocate SARS-CoV-2 testing and other health care resources such as personal protective equipment during a pandemic surge. |*Clinical Decision Rules[MESH] |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Blood Cell Count/*methods[MESH] |COVID-19[MESH] |California[MESH] |Case-Control Studies[MESH] |Chicago[MESH] |Coronavirus Infections/*diagnosis[MESH] |Diagnostic Tests, Routine/*methods[MESH] |Emergency Medical Services/*methods[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis[MESH] |Retrospective Studies[MESH] |Sensitivity and Specificity[MESH] |Washington[MESH]A predictive tool for identification of SARS-CoV-2 PCR-negative emerge(epmc).pdf DeepDyve Pubget Overpricing