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10.18632/aging.103694 http://scihub22266oqcxt.onion/10.18632/aging.103694 32727933!7425460!32727933     free     free     free 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 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 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Aging+(Albany+NY) 2020 ; 12 (14): 13882-13894 Nephropedia Template TP {{tp|p=32727933|t=2020. Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China |pdf=|usr=}}{{32727933}} gab.com Text Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China JO: Aging (Albany NY) http://www.kidney.de/pget.php?&tw=1&pmid=32727933 #FOAvip How to quickly identify high-risk populations is critical to epidemic control. We developed and validated a risk prediction model for screening SARS-CoV-2 infection in suspected cases with an epidemiological history. A total of 1019 patients, >/=13 years of age, who had an epidemiological history were enrolled from fever clinics between January 2020 and February 2020. Among 103 (10.11%) cases of COVID-19 were confirmed. Multivariable analysis summarized four features associated with increased risk of SARS-CoV-2 infection, summarized in the mnemonic COVID-19-REAL: radiological evidence of pneumonia (1 point), eosinophils < 0.005 x 10(9)/L (1 point), age >/= 32 years (2 points), and leukocytes < 6.05 x 10(9) /L (1 point). The area under the ROC curve for the training group was 0.863 (95% CI, 0.813 - 0.912). A cut-off value of less than 3 points for COVID-19-REAL was assigned to define the low-risk population. Only 10 (2.70%) of 371 patients were proved to be SARS-CoV-2 positive, with a negative predictive value of 0.973. External validation was similar. This study provides a simple, practical, and robust screening model, COVID-19-REAL, able to identify populations at high risk for SARS-CoV-2 infection. Twit Text FOAVip Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China ????Aging (Albany NY) http://www.kidney.de/pget.php?&tw=1&pmid=32727933 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32727933 #FOAvip English Wikipedia <ref>{{Cite pmid|32727933}}</ref> Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China #MMPMID32727933 Ma J; Shi X; Xu W; Lv F; Wu J; Pan Q; Yang J; Yu J; Cao H; Li L Aging (Albany NY) 2020[Jul]; 12 (14): 13882-13894 PMID32727933show ga How to quickly identify high-risk populations is critical to epidemic control. We developed and validated a risk prediction model for screening SARS-CoV-2 infection in suspected cases with an epidemiological history. A total of 1019 patients, >/=13 years of age, who had an epidemiological history were enrolled from fever clinics between January 2020 and February 2020. Among 103 (10.11%) cases of COVID-19 were confirmed. Multivariable analysis summarized four features associated with increased risk of SARS-CoV-2 infection, summarized in the mnemonic COVID-19-REAL: radiological evidence of pneumonia (1 point), eosinophils < 0.005 x 10(9)/L (1 point), age >/= 32 years (2 points), and leukocytes < 6.05 x 10(9) /L (1 point). The area under the ROC curve for the training group was 0.863 (95% CI, 0.813 - 0.912). A cut-off value of less than 3 points for COVID-19-REAL was assigned to define the low-risk population. Only 10 (2.70%) of 371 patients were proved to be SARS-CoV-2 positive, with a negative predictive value of 0.973. External validation was similar. This study provides a simple, practical, and robust screening model, COVID-19-REAL, able to identify populations at high risk for SARS-CoV-2 infection. |Adult[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China[MESH] |Coronavirus Infections/blood/*diagnosis/pathology[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/blood/*diagnosis/pathology[MESH] |Predictive Value of Tests[MESH] |Risk Assessment/methods[MESH] |Risk Factors[MESH]Development and validation of a risk stratification model for screenin(epmc).pdf DeepDyve Pubget Overpricing