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10.1017/S0950268820001399 http://scihub22266oqcxt.onion/10.1017/S0950268820001399 32580792!7332754!32580792     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       Epidemiol+Infect 2020 ; 148 (ä): e125 Nephropedia Template TP {{tp|p=32580792|t=2020. Analysis of factors affecting the prognosis of COVID-19 patients and viral shedding duration |pdf=|usr=}}{{32580792}} gab.com Text Analysis of factors affecting the prognosis of COVID-19 patients and viral shedding duration JO: Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32580792 #FOAvip The clinical characteristics of patients with COVID-19 were analysed to determine the factors influencing the prognosis and virus shedding time to facilitate early detection of disease progression. Logistic regression analysis was used to explore the relationships among prognosis, clinical characteristics and laboratory indexes. The predictive value of this model was assessed with receiver operating characteristic curve analysis, calibration and internal validation. The viral shedding duration was calculated using the Kaplan-Meier method, and the prognostic factors were analysed by univariate log-rank analysis and the Cox proportional hazards model. A retrospective study was carried out with patients with COVID-19 in Tianjin, China. A total of 185 patients were included, 27 (14.59%) of whom were severely ill at the time of discharge and three (1.6%) of whom died. Our findings demonstrate that patients with an advanced age, diabetes, a low PaO2/FiO2 value and delayed treatment should be carefully monitored for disease progression to reduce the incidence of severe disease. Hypoproteinaemia and the fever duration warrant special attention. Timely interventions in symptomatic patients and a time from symptom onset to treatment <4 days can shorten the duration of viral shedding. Twit Text FOAVip Analysis of factors affecting the prognosis of COVID-19 patients and viral shedding duration ????Epidemiol Infect http://www.kidney.de/pget.php?&tw=1&pmid=32580792 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32580792 #FOAvip English Wikipedia <ref>{{Cite pmid|32580792}}</ref> Analysis of factors affecting the prognosis of COVID-19 patients and viral shedding duration #MMPMID32580792 Han J; Shi LX; Xie Y; Zhang YJ; Huang SP; Li JG; Wang HR; Shao SF Epidemiol Infect 2020[Jun]; 148 (ä): e125 PMID32580792show ga The clinical characteristics of patients with COVID-19 were analysed to determine the factors influencing the prognosis and virus shedding time to facilitate early detection of disease progression. Logistic regression analysis was used to explore the relationships among prognosis, clinical characteristics and laboratory indexes. The predictive value of this model was assessed with receiver operating characteristic curve analysis, calibration and internal validation. The viral shedding duration was calculated using the Kaplan-Meier method, and the prognostic factors were analysed by univariate log-rank analysis and the Cox proportional hazards model. A retrospective study was carried out with patients with COVID-19 in Tianjin, China. A total of 185 patients were included, 27 (14.59%) of whom were severely ill at the time of discharge and three (1.6%) of whom died. Our findings demonstrate that patients with an advanced age, diabetes, a low PaO2/FiO2 value and delayed treatment should be carefully monitored for disease progression to reduce the incidence of severe disease. Hypoproteinaemia and the fever duration warrant special attention. Timely interventions in symptomatic patients and a time from symptom onset to treatment <4 days can shorten the duration of viral shedding. |Adult[MESH] |Analysis of Variance[MESH] |Betacoronavirus/*physiology[MESH] |COVID-19[MESH] |China[MESH] |Coronavirus Infections/*diagnosis/mortality/therapy/virology[MESH] |Disease Progression[MESH] |Female[MESH] |Humans[MESH] |Hypoproteinemia[MESH] |Kaplan-Meier Estimate[MESH] |Logistic Models[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*diagnosis/mortality/therapy/virology[MESH] |Prognosis[MESH] |Proportional Hazards Models[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH] |Time Factors[MESH]Analysis of factors affecting the prognosis of COVID-19 patients and v(epmc).pdf DeepDyve Pubget Overpricing