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10.1186/s12937-021-00702-8 http://scihub22266oqcxt.onion/10.1186/s12937-021-00702-8 34034769!8145188!34034769     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       Nutr+J 2021 ; 20 (1): 46 Nephropedia Template TP {{tp|p=34034769|t=2021. Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19 |pdf=|usr=}}{{34034769}} gab.com Text Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19 JO: Nutr J http://www.kidney.de/pget.php?&tw=1&pmid=34034769 #FOAvip BACKGROUND: Could nutritional status serve as prognostic factors for coronavirus disease 2019 (COVID-19)? The present study evaluated the clinical and nutritional characteristics of COVID-19 patients and explored the relationship between risk for malnutrition at admission and in-hospital mortality. METHODS: A retrospective, observational study was conducted in two hospitals in Hubei, China. Confirmed cases of COVID-19 were typed as mild/moderate, severe, or critically ill. Clinical data and in-hospital death were collected. The risk for malnutrition was assessed using the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the Controlling Nutritional Status (CONUT) via objective parameters at admission. RESULTS: Two hundred ninety-five patients were enrolled, including 66 severe patients and 41 critically ill patients. Twenty-five deaths were observed, making 8.47% in the whole population and 37.88% in the critically ill subgroup. Patients had significant differences in nutrition-related parameters and inflammatory biomarkers among three types of disease severity. Patients with lower GNRI and PNI, as well as higher CONUT scores, had a higher risk of in-hospital mortality. The receiver operating characteristic curves demonstrated the good prognostic implication of GNRI and CONUT score. The multivariate logistic regression showed that baseline nutritional status, assessed by GNRI, PNI, or CONUT score, was a prognostic indicator for in-hospital mortality. CONCLUSIONS: Despite variant screening tools, poor nutritional status was associated with in-hospital death in patients infected with COVID-19. This study highlighted the importance of nutritional screening at admission and the new insight of nutritional monitoring or therapy. Twit Text FOAVip Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19 ????Nutr J http://www.kidney.de/pget.php?&tw=1&pmid=34034769 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34034769 #FOAvip English Wikipedia <ref>{{Cite pmid|34034769}}</ref> Nutritional screening based on objective indices at admission predicts in-hospital mortality in patients with COVID-19 #MMPMID34034769 Song F; Ma H; Wang S; Qin T; Xu Q; Yuan H; Li F; Wang Z; Liao Y; Tan X; Song X; Zhang Q; Huang D Nutr J 2021[May]; 20 (1): 46 PMID34034769show ga BACKGROUND: Could nutritional status serve as prognostic factors for coronavirus disease 2019 (COVID-19)? The present study evaluated the clinical and nutritional characteristics of COVID-19 patients and explored the relationship between risk for malnutrition at admission and in-hospital mortality. METHODS: A retrospective, observational study was conducted in two hospitals in Hubei, China. Confirmed cases of COVID-19 were typed as mild/moderate, severe, or critically ill. Clinical data and in-hospital death were collected. The risk for malnutrition was assessed using the geriatric nutritional risk index (GNRI), the prognostic nutritional index (PNI), and the Controlling Nutritional Status (CONUT) via objective parameters at admission. RESULTS: Two hundred ninety-five patients were enrolled, including 66 severe patients and 41 critically ill patients. Twenty-five deaths were observed, making 8.47% in the whole population and 37.88% in the critically ill subgroup. Patients had significant differences in nutrition-related parameters and inflammatory biomarkers among three types of disease severity. Patients with lower GNRI and PNI, as well as higher CONUT scores, had a higher risk of in-hospital mortality. The receiver operating characteristic curves demonstrated the good prognostic implication of GNRI and CONUT score. The multivariate logistic regression showed that baseline nutritional status, assessed by GNRI, PNI, or CONUT score, was a prognostic indicator for in-hospital mortality. CONCLUSIONS: Despite variant screening tools, poor nutritional status was associated with in-hospital death in patients infected with COVID-19. This study highlighted the importance of nutritional screening at admission and the new insight of nutritional monitoring or therapy. |*Hospital Mortality[MESH] |*Nutrition Assessment[MESH] |*Nutritional Status[MESH] |*SARS-CoV-2[MESH] |Adult[MESH] |Aged[MESH] |COVID-19/*epidemiology[MESH] |China/epidemiology[MESH] |Comorbidity[MESH] |Critical Illness/mortality[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Malnutrition/*epidemiology[MESH] |Middle Aged[MESH] |Prognosis[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH] |Severity of Illness Index[MESH] |Thorax/diagnostic imaging[MESH]Nutritional screening based on objective indices at admission predicts(epmc).pdf DeepDyve Pubget Overpricing