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10.1016/j.ccell.2020.09.007 http://scihub22266oqcxt.onion/10.1016/j.ccell.2020.09.007 32997958!7492074!32997958     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32997958&cmd=llinks): Failed to open stream: HTTP request failed! 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SARS-CoV-2 Viral Load Predicts Mortality in Patients with and without Cancer Who Are Hospitalized with COVID-19 |pdf=|usr=}}{{32997958}} gab.com Text SARS-CoV-2 Viral Load Predicts Mortality in Patients with and without Cancer Who Are Hospitalized with COVID-19 JO: Cancer Cell http://www.kidney.de/pget.php?&tw=1&pmid=32997958 #FOAvip Patients with cancer may be at increased risk of severe coronavirus disease 2019 (COVID-19), but the role of viral load on this risk is unknown. We measured SARS-CoV-2 viral load using cycle threshold (C(T)) values from reverse-transcription polymerase chain reaction assays applied to nasopharyngeal swab specimens in 100 patients with cancer and 2,914 without cancer who were admitted to three New York City hospitals. Overall, the in-hospital mortality rate was 38.8% among patients with a high viral load, 24.1% among patients with a medium viral load, and 15.3% among patients with a low viral load (p < 0.001). Similar findings were observed in patients with cancer (high, 45.2% mortality; medium, 28.0%; low, 12.1%; p = 0.008). Patients with hematologic malignancies had higher median viral loads (C(T) = 25.0) than patients without cancer (C(T) = 29.2; p = 0.0039). SARS-CoV-2 viral load results may offer vital prognostic information for patients with and without cancer who are hospitalized with COVID-19. Twit Text FOAVip SARS-CoV-2 Viral Load Predicts Mortality in Patients with and without Cancer Who Are Hospitalized with COVID-19 ????Cancer Cell http://www.kidney.de/pget.php?&tw=1&pmid=32997958 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32997958 #FOAvip English Wikipedia <ref>{{Cite pmid|32997958}}</ref> SARS-CoV-2 Viral Load Predicts Mortality in Patients with and without Cancer Who Are Hospitalized with COVID-19 #MMPMID32997958 Westblade LF; Brar G; Pinheiro LC; Paidoussis D; Rajan M; Martin P; Goyal P; Sepulveda JL; Zhang L; George G; Liu D; Whittier S; Plate M; Small CB; Rand JH; Cushing MM; Walsh TJ; Cooke J; Safford MM; Loda M; Satlin MJ Cancer Cell 2020[Nov]; 38 (5): 661-671.e2 PMID32997958show ga Patients with cancer may be at increased risk of severe coronavirus disease 2019 (COVID-19), but the role of viral load on this risk is unknown. We measured SARS-CoV-2 viral load using cycle threshold (C(T)) values from reverse-transcription polymerase chain reaction assays applied to nasopharyngeal swab specimens in 100 patients with cancer and 2,914 without cancer who were admitted to three New York City hospitals. Overall, the in-hospital mortality rate was 38.8% among patients with a high viral load, 24.1% among patients with a medium viral load, and 15.3% among patients with a low viral load (p < 0.001). Similar findings were observed in patients with cancer (high, 45.2% mortality; medium, 28.0%; low, 12.1%; p = 0.008). Patients with hematologic malignancies had higher median viral loads (C(T) = 25.0) than patients without cancer (C(T) = 29.2; p = 0.0039). SARS-CoV-2 viral load results may offer vital prognostic information for patients with and without cancer who are hospitalized with COVID-19. |*Viral Load[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Betacoronavirus/*isolation & purification[MESH] |COVID-19[MESH] |Case-Control Studies[MESH] |Coronavirus Infections/*complications/transmission/virology[MESH] |Female[MESH] |Follow-Up Studies[MESH] |Hospitalization/*statistics & numerical data[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Neoplasms/epidemiology/*mortality/virology[MESH] |New York/epidemiology[MESH] |Pandemics[MESH] |Pneumonia, Viral/*complications/transmission/virology[MESH] |Prognosis[MESH] |Retrospective Studies[MESH] |SARS-CoV-2[MESH]SARS-CoV-2 Viral Load Predicts Mortality in Patients with and without (epmc).pdf DeepDyve Pubget Overpricing