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10.1038/s41430-020-0642-3 http://scihub22266oqcxt.onion/10.1038/s41430-020-0642-3 32322046!7175450!32322046     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Eur+J+Clin+Nutr 2020 ; 74 (6): 871-875 Nephropedia Template TP {{tp|p=32322046|t=2020. Prevalence of malnutrition and analysis of related factors in elderly patients with COVID-19 in Wuhan, China |pdf=|usr=}}{{32322046}} gab.com Text Prevalence of malnutrition and analysis of related factors in elderly patients with COVID-19 in Wuhan, China JO: Eur J Clin Nutr http://www.kidney.de/pget.php?&tw=1&pmid=32322046 #FOAvip BACKGROUND/OBJECTIVES: To evaluate the prevalence of malnutrition and its related factors in elderly patients with COVID-19 in Wuhan, China. SUBJECTS/METHODS: In a cross-sectional study, we evaluated the nutritional status of elderly inpatients with COVID-19 using the Mini Nutritional Assessment (MNA). Based on MNA scores, patients were divided into non-malnutrition group (MNA >/= 24), the group with risk of malnutrition (MNA 17-23.5) and malnutrition group (MNA score < 17). Regression analysis was conducted to screen for risk factors for malnutrition. RESULTS: A total of 182 patients were included in the study, of which 27.5% were in the group with malnutrition risk and 52.7% were in the malnutrition group. There were statistical differences in the incidence of comorbid diabetes mellitus, body mass index (BMI), calf circumference,albumin, hemoglobin, and lymphocyte counts among the three groups. Further regression analysis suggested that combined diabetes, low calf circumference, and low albumin were independent risk factors for malnutrition. CONCLUSIONS: The prevalence of malnutrition in elderly patients with COVID-19 was high, and nutritional support should be strengthened during treatment, especially for those with diabetes mellitus, low calf circumference, or low albumin. Twit Text FOAVip Prevalence of malnutrition and analysis of related factors in elderly patients with COVID-19 in Wuhan, China ????Eur J Clin Nutr http://www.kidney.de/pget.php?&tw=1&pmid=32322046 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32322046 #FOAvip English Wikipedia <ref>{{Cite pmid|32322046}}</ref> Prevalence of malnutrition and analysis of related factors in elderly patients with COVID-19 in Wuhan, China #MMPMID32322046 Li T; Zhang Y; Gong C; Wang J; Liu B; Shi L; Duan J Eur J Clin Nutr 2020[Jun]; 74 (6): 871-875 PMID32322046show ga BACKGROUND/OBJECTIVES: To evaluate the prevalence of malnutrition and its related factors in elderly patients with COVID-19 in Wuhan, China. SUBJECTS/METHODS: In a cross-sectional study, we evaluated the nutritional status of elderly inpatients with COVID-19 using the Mini Nutritional Assessment (MNA). Based on MNA scores, patients were divided into non-malnutrition group (MNA >/= 24), the group with risk of malnutrition (MNA 17-23.5) and malnutrition group (MNA score < 17). Regression analysis was conducted to screen for risk factors for malnutrition. RESULTS: A total of 182 patients were included in the study, of which 27.5% were in the group with malnutrition risk and 52.7% were in the malnutrition group. There were statistical differences in the incidence of comorbid diabetes mellitus, body mass index (BMI), calf circumference,albumin, hemoglobin, and lymphocyte counts among the three groups. Further regression analysis suggested that combined diabetes, low calf circumference, and low albumin were independent risk factors for malnutrition. CONCLUSIONS: The prevalence of malnutrition in elderly patients with COVID-19 was high, and nutritional support should be strengthened during treatment, especially for those with diabetes mellitus, low calf circumference, or low albumin. |*Betacoronavirus[MESH] |*Nutritional Status[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |Anthropometry[MESH] |COVID-19[MESH] |China/epidemiology[MESH] |Coronavirus Infections/*complications/physiopathology/virology[MESH] |Cross-Sectional Studies[MESH] |Female[MESH] |Geriatric Assessment[MESH] |Humans[MESH] |Inpatients/statistics & numerical data[MESH] |Male[MESH] |Malnutrition/*epidemiology/virology[MESH] |Middle Aged[MESH] |Nutrition Assessment[MESH] |Pandemics[MESH] |Pneumonia, Viral/*complications/physiopathology/virology[MESH] |Prevalence[MESH] |Risk Factors[MESH]Prevalence of malnutrition and analysis of related factors in elderly (epmc).pdf DeepDyve Pubget Overpricing