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10.1016/j.ijid.2020.09.037 http://scihub22266oqcxt.onion/10.1016/j.ijid.2020.09.037 32950738!7497732!32950738     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 265.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Infect+Dis 2020 ; 100 (ä): 67-74 Nephropedia Template TP {{tp|p=32950738|t=2020. The importance of patients case-mix for the correct interpretation of the hospital fatality rate in COVID-19 disease |pdf=|usr=}}{{32950738}} gab.com Text The importance of patients case-mix for the correct interpretation of the hospital fatality rate in COVID-19 disease JO: Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32950738 #FOAvip OBJECTIVE: We aimed to document data on the epidemiology and factors associated with clinical course leading to death of patients hospitalised with COVID-19. METHODS: Prospective observational cohort study on patients hospitalised with COVID-19 disease in February-24th/May-17th 2020 in Milan, Italy. Uni-multivariable Cox regression analyses were performed. Death's percentage by two-weeks' intervals according to age and disease severity was analysed. RESULTS: A total of 174/539 (32.3%) patients died in hospital over 8228 person-day follow-up; the 14-day Kaplan-Meier probability of death was 29.5% (95%CI: 25.5-34.0). Older age, burden of comorbidities, COVID-19 disease severity, inflammatory markers at admission were independent predictors of increased risk, while several drug-combinations were predictors of reduced risk of in-hospital death. The highest fatality rate, 36.5%, occurred during the 2nd-3rd week of March, when 55.4% of patients presented with severe disease, while a second peak, by the end of April, was related to the admission of older patients (55% >/=80 years) with less severe disease, 30% coming from long-term care facilities. CONCLUSIONS: The unusual fatality rate in our setting is likely to be related to age and the clinical conditions of our patients. These findings may be useful to better allocate resources of the national healthcare system, in case of re-intensification of COVID-19 epidemics. Twit Text FOAVip The importance of patients case-mix for the correct interpretation of the hospital fatality rate in COVID-19 disease ????Int J Infect Dis http://www.kidney.de/pget.php?&tw=1&pmid=32950738 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32950738 #FOAvip English Wikipedia <ref>{{Cite pmid|32950738}}</ref> The importance of patients case-mix for the correct interpretation of the hospital fatality rate in COVID-19 disease #MMPMID32950738 d'Arminio Monforte A; Tavelli A; Bai F; Tomasoni D; Falcinella C; Castoldi R; Barbanotti D; Mule G; Allegrini M; Tesoro D; Tagliaferri G; Mondatore D; Augello M; Cona A; Ancona G; Gazzola L; Iannotti N; Tincati C; Vigano O; De Bona A; Bini T; Cozzi-Lepri A; Marchetti G Int J Infect Dis 2020[Nov]; 100 (ä): 67-74 PMID32950738show ga OBJECTIVE: We aimed to document data on the epidemiology and factors associated with clinical course leading to death of patients hospitalised with COVID-19. METHODS: Prospective observational cohort study on patients hospitalised with COVID-19 disease in February-24th/May-17th 2020 in Milan, Italy. Uni-multivariable Cox regression analyses were performed. Death's percentage by two-weeks' intervals according to age and disease severity was analysed. RESULTS: A total of 174/539 (32.3%) patients died in hospital over 8228 person-day follow-up; the 14-day Kaplan-Meier probability of death was 29.5% (95%CI: 25.5-34.0). Older age, burden of comorbidities, COVID-19 disease severity, inflammatory markers at admission were independent predictors of increased risk, while several drug-combinations were predictors of reduced risk of in-hospital death. The highest fatality rate, 36.5%, occurred during the 2nd-3rd week of March, when 55.4% of patients presented with severe disease, while a second peak, by the end of April, was related to the admission of older patients (55% >/=80 years) with less severe disease, 30% coming from long-term care facilities. CONCLUSIONS: The unusual fatality rate in our setting is likely to be related to age and the clinical conditions of our patients. These findings may be useful to better allocate resources of the national healthcare system, in case of re-intensification of COVID-19 epidemics. |*Betacoronavirus[MESH] |*Diagnosis-Related Groups[MESH] |Adult[MESH] |Aged[MESH] |COVID-19[MESH] |Coronavirus Infections/*mortality[MESH] |Female[MESH] |Hospital Mortality[MESH] |Humans[MESH] |Italy/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Pandemics[MESH] |Pneumonia, Viral/*mortality[MESH] |Prospective Studies[MESH] |SARS-CoV-2[MESH]The importance of patients case-mix for the correct interpretation of(epmc).pdf DeepDyve Pubget Overpricing