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10.1016/j.amjcard.2020.09.029 http://scihub22266oqcxt.onion/10.1016/j.amjcard.2020.09.029 32991860!7521434!32991860     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Am+J+Cardiol 2020 ; 137 (ä): 111-117 Nephropedia Template TP {{tp|p=32991860|t=2020. Mortality Risk Assessment Using CHA(2)DS(2)-VASc Scores in Patients Hospitalized With Coronavirus Disease 2019 Infection |pdf=|usr=}}{{32991860}} gab.com Text Mortality Risk Assessment Using CHA(2)DS(2)-VASc Scores in Patients Hospitalized With Coronavirus Disease 2019 Infection JO: Am J Cardiol http://www.kidney.de/pget.php?&tw=1&pmid=32991860 #FOAvip Early risk stratification for complications and death related to Coronavirus disease 2019 (COVID-19) infection is needed. Because many patients with COVID-19 who developed acute respiratory distress syndrome have diffuse alveolar inflammatory damage associated with microvessel thrombosis, we aimed to investigate a common clinical tool, the CHA(2)DS(2)-VASc, to aid in the prognostication of outcomes for COVID-19 patients. We analyzed consecutive patients from the multicenter observational CORACLE registry, which contains data of patients hospitalized for COVID-19 infection in 4 regions of Italy, according to data-driven tertiles of CHA(2)DS(2)-VASc score. The primary outcomes were inpatient death and a composite of inpatient death or invasive ventilation. Of 1045 patients in the registry, 864 (82.7%) had data available to calculate CHA(2)DS(2)-VASc score and were included in the analysis. Of these, 167 (19.3%) died, 123 (14.2%) received invasive ventilation, and 249 (28.8%) had the composite outcome. Stratification by CHA(2)DS(2)-VASc tertiles (T1: </=1; T2: 2 to 3; T3: >/=4) revealed increases in both death (8.1%, 24.3%, 33.3%, respectively; p <0.001) and the composite end point (18.6%, 31.9%, 43.5%, respectively; p <0.001). The odds ratios for mortality and the composite end point for T2 patients versus T1 CHA(2)DS(2)-VASc score were 3.62 (95% CI:2.29 to 5.73,p <0.001) and 2.04 (95% CI:1.42 to 2.93, p <0.001), respectively. Similarly, the odds ratios for mortality and the composite end point for T3 patients versus T1 were 5.65 (95% CI:3.54 to 9.01, p <0.001) and 3.36 (95% CI:2.30 to 4.90,p <0.001), respectively. In conclusion, among Italian patients hospitalized for COVID-19 infection, the CHA(2)DS(2)-VASc risk score for thromboembolic events enhanced the ability to achieve risk stratification for complications and death. Twit Text FOAVip Mortality Risk Assessment Using CHA(2)DS(2)-VASc Scores in Patients Hospitalized With Coronavirus Disease 2019 Infection ????Am J Cardiol http://www.kidney.de/pget.php?&tw=1&pmid=32991860 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32991860 #FOAvip English Wikipedia <ref>{{Cite pmid|32991860}}</ref> Mortality Risk Assessment Using CHA(2)DS(2)-VASc Scores in Patients Hospitalized With Coronavirus Disease 2019 Infection #MMPMID32991860 Ruocco G; McCullough PA; Tecson KM; Mancone M; De Ferrari GM; D'Ascenzo F; De Rosa FG; Paggi A; Forleo G; Secco GG; Pistis G; Monticone S; Vicenzi M; Rota I; Blasi F; Pugliese F; Fedele F; Palazzuoli A Am J Cardiol 2020[Dec]; 137 (ä): 111-117 PMID32991860show ga Early risk stratification for complications and death related to Coronavirus disease 2019 (COVID-19) infection is needed. Because many patients with COVID-19 who developed acute respiratory distress syndrome have diffuse alveolar inflammatory damage associated with microvessel thrombosis, we aimed to investigate a common clinical tool, the CHA(2)DS(2)-VASc, to aid in the prognostication of outcomes for COVID-19 patients. We analyzed consecutive patients from the multicenter observational CORACLE registry, which contains data of patients hospitalized for COVID-19 infection in 4 regions of Italy, according to data-driven tertiles of CHA(2)DS(2)-VASc score. The primary outcomes were inpatient death and a composite of inpatient death or invasive ventilation. Of 1045 patients in the registry, 864 (82.7%) had data available to calculate CHA(2)DS(2)-VASc score and were included in the analysis. Of these, 167 (19.3%) died, 123 (14.2%) received invasive ventilation, and 249 (28.8%) had the composite outcome. Stratification by CHA(2)DS(2)-VASc tertiles (T1: /=4) revealed increases in both death (8.1%, 24.3%, 33.3%, respectively; p <0.001) and the composite end point (18.6%, 31.9%, 43.5%, respectively; p <0.001). The odds ratios for mortality and the composite end point for T2 patients versus T1 CHA(2)DS(2)-VASc score were 3.62 (95% CI:2.29 to 5.73,p <0.001) and 2.04 (95% CI:1.42 to 2.93, p <0.001), respectively. Similarly, the odds ratios for mortality and the composite end point for T3 patients versus T1 were 5.65 (95% CI:3.54 to 9.01, p <0.001) and 3.36 (95% CI:2.30 to 4.90,p <0.001), respectively. In conclusion, among Italian patients hospitalized for COVID-19 infection, the CHA(2)DS(2)-VASc risk score for thromboembolic events enhanced the ability to achieve risk stratification for complications and death. |*Hospital Mortality[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19/*mortality/therapy[MESH] |Diabetes Mellitus/*epidemiology[MESH] |Female[MESH] |Heart Failure/*epidemiology[MESH] |Hospitalization[MESH] |Humans[MESH] |Hypertension/*epidemiology[MESH] |Italy/epidemiology[MESH] |Male[MESH] |Middle Aged[MESH] |Myocardial Ischemia/*epidemiology[MESH] |Odds Ratio[MESH] |Prognosis[MESH] |Registries[MESH] |Respiration, Artificial/*statistics & numerical data[MESH] |Risk Assessment[MESH] |Sex Factors[MESH]Mortality Risk Assessment Using CHA(2)DS(2)-VASc Scores in Patients Ho(epmc).pdf DeepDyve Pubget Overpricing