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10.5114/amsad.2020.98918 http://scihub22266oqcxt.onion/10.5114/amsad.2020.98918 33305058!7717451!33305058     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33305058&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Arch+Med+Sci+Atheroscler+Dis 2020 ; 5 (?): e219-e223 Nephropedia Template TP {{tp|p=33305058|t=2020. A preliminary study of coronavirus disease 2019 in China: the impact of cardiovascular disease on death risk |pdf=|usr=}}{{33305058}} gab.com Text A preliminary study of coronavirus disease 2019 in China: the impact of cardiovascular disease on death risk JO: Arch Med Sci Atheroscler Dis http://www.kidney.de/pget.php?&tw=1&pmid=33305058 #FOAvip INTRODUCTION: The primary purpose of this work is to study coronavirus disease 2019 (COVID-19) in China and to identify the prognostic characteristics of patients with the highest death risk. MATERIAL AND METHODS: The statistical methods used to derive the results of this work are the chi-square test and one-way analysis of variance (ANOVA) to examine the characteristics of COVID-19 associated deaths. A multiple logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors with the highest death risk for this type of disease. RESULTS: According to multiple logistic regression analyses, males (OR = 1.68; 95% CI: 1.48-1.91) who are over 50 years old (OR = 7.2; 95% CI: 1.01-51.6) from Hubei (OR = 7.73; 95% CI: 5.71-10.47) have the highest risk of death from this type of disease. Moreover, individuals who are retirees (OR = 2.83; 95% CI: 2.47-3.25) and had a Wuhan-related exposure (OR = 2.17; 95% CI: 1.68-2.79) have two times higher risk of death from COVID-19, while the risk is thirteen times higher with the comorbid condition "cardiovascular disease" (OR = 13.6; 95% CI: 10.3-17.9). CONCLUSIONS: The results of this study describe for the first time the importance of cardiovascular disease as a primary prognostic risk factor for death from coronavirus disease 2019. Twit Text FOAVip A preliminary study of coronavirus disease 2019 in China: the impact of cardiovascular disease on death risk ????Arch Med Sci Atheroscler Dis http://www.kidney.de/pget.php?&tw=1&pmid=33305058 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33305058 #FOAvip English Wikipedia <ref>{{Cite pmid|33305058}}</ref> A preliminary study of coronavirus disease 2019 in China: the impact of cardiovascular disease on death risk #MMPMID33305058 Rethemiotaki I Arch Med Sci Atheroscler Dis 2020[]; 5 (?): e219-e223 PMID33305058show ga INTRODUCTION: The primary purpose of this work is to study coronavirus disease 2019 (COVID-19) in China and to identify the prognostic characteristics of patients with the highest death risk. MATERIAL AND METHODS: The statistical methods used to derive the results of this work are the chi-square test and one-way analysis of variance (ANOVA) to examine the characteristics of COVID-19 associated deaths. A multiple logistic regression analysis was used with the odds ratio (OR) to find statistically significant prognostic factors with the highest death risk for this type of disease. RESULTS: According to multiple logistic regression analyses, males (OR = 1.68; 95% CI: 1.48-1.91) who are over 50 years old (OR = 7.2; 95% CI: 1.01-51.6) from Hubei (OR = 7.73; 95% CI: 5.71-10.47) have the highest risk of death from this type of disease. Moreover, individuals who are retirees (OR = 2.83; 95% CI: 2.47-3.25) and had a Wuhan-related exposure (OR = 2.17; 95% CI: 1.68-2.79) have two times higher risk of death from COVID-19, while the risk is thirteen times higher with the comorbid condition "cardiovascular disease" (OR = 13.6; 95% CI: 10.3-17.9). CONCLUSIONS: The results of this study describe for the first time the importance of cardiovascular disease as a primary prognostic risk factor for death from coronavirus disease 2019. ?A preliminary study of coronavirus disease 2019 in China: the impact o(epmc).pdf DeepDyve Pubget Overpricing