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10.1038/s41598-020-75629-x http://scihub22266oqcxt.onion/10.1038/s41598-020-75629-x 33122706!7596704!33122706     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33122706&cmd=llinks): Failed to open stream: HTTP request failed! 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Kinetics of SARS-CoV-2 positivity of infected and recovered patients from a single center |pdf=|usr=}}{{33122706}} gab.com Text Kinetics of SARS-CoV-2 positivity of infected and recovered patients from a single center JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33122706 #FOAvip Recurrence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive detection in infected but recovered individuals has been reported. Patients who have recovered from coronavirus disease 2019 (COVID-19) could profoundly impact the health care system. We sought to define the kinetics and relevance of PCR-positive recurrence during recovery from acute COVID-19 to better understand risks for prolonged infectivity and reinfection. A series of 414 patients with confirmed SARS-Cov-2 infection, at The Second Affiliated Hospital of Southern University of Science and Technology in Shenzhen, China from January 11 to April 23, 2020. Statistical analyses were performed of the clinical, laboratory, radiologic image, medical treatment, and clinical course of admission/quarantine/readmission data, and a recurrence predictive algorithm was developed. 16.7% recovered patients with PCR positive recurring one to three times, despite being in strict quarantine. Younger patients with mild pulmonary respiratory syndrome had higher risk of PCR positivity recurrence. The recurrence prediction model had an area under the ROC curve of 0.786. This case series provides characteristics of patients with recurrent SARS-CoV-2 positivity. Use of a prediction algorithm may identify patients at high risk of recurrent SARS-CoV-2 positivity and help to establish protocols for health policy. Twit Text FOAVip Kinetics of SARS-CoV-2 positivity of infected and recovered patients from a single center ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=33122706 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33122706 #FOAvip English Wikipedia <ref>{{Cite pmid|33122706}}</ref> Kinetics of SARS-CoV-2 positivity of infected and recovered patients from a single center #MMPMID33122706 Huang J; Zheng L; Li Z; Hao S; Ye F; Chen J; Gans HA; Yao X; Liao J; Wang S; Zeng M; Qiu L; Li C; Whitin JC; Tian L; Chubb H; Hwa KY; Ceresnak SR; Zhang W; Lu Y; Maldonado YA; McElhinney DB; Sylvester KG; Cohen HJ; Liu L; Ling XB Sci Rep 2020[Oct]; 10 (1): 18629 PMID33122706show ga Recurrence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) positive detection in infected but recovered individuals has been reported. Patients who have recovered from coronavirus disease 2019 (COVID-19) could profoundly impact the health care system. We sought to define the kinetics and relevance of PCR-positive recurrence during recovery from acute COVID-19 to better understand risks for prolonged infectivity and reinfection. A series of 414 patients with confirmed SARS-Cov-2 infection, at The Second Affiliated Hospital of Southern University of Science and Technology in Shenzhen, China from January 11 to April 23, 2020. Statistical analyses were performed of the clinical, laboratory, radiologic image, medical treatment, and clinical course of admission/quarantine/readmission data, and a recurrence predictive algorithm was developed. 16.7% recovered patients with PCR positive recurring one to three times, despite being in strict quarantine. Younger patients with mild pulmonary respiratory syndrome had higher risk of PCR positivity recurrence. The recurrence prediction model had an area under the ROC curve of 0.786. This case series provides characteristics of patients with recurrent SARS-CoV-2 positivity. Use of a prediction algorithm may identify patients at high risk of recurrent SARS-CoV-2 positivity and help to establish protocols for health policy. |COVID-19[MESH] |COVID-19 Testing[MESH] |China[MESH] |Clinical Laboratory Techniques/*statistics & numerical data[MESH] |Coronavirus Infections/diagnosis/*epidemiology/therapy[MESH] |Hospitalization/*statistics & numerical data[MESH] |Humans[MESH] |Pandemics[MESH] |Pneumonia, Viral/diagnosis/*epidemiology/therapy[MESH] |Polymerase Chain Reaction/statistics & numerical data[MESH] |Recurrence[MESH]Kinetics of SARS-CoV-2 positivity of infected and recovered patients f(epmc).pdf DeepDyve Pubget Overpricing