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10.1016/j.nut.2020.111123 http://scihub22266oqcxt.onion/10.1016/j.nut.2020.111123 33476998!7747677!33476998     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Nutrition 2021 ; 84 (ä): 111123 Nephropedia Template TP {{tp|p=33476998|t=2021. Predictive value of the prognostic nutritional index for the severity of coronavirus disease 2019 |pdf=|usr=}}{{33476998}} gab.com Text Predictive value of the prognostic nutritional index for the severity of coronavirus disease 2019 JO: Nutrition http://www.kidney.de/pget.php?&tw=1&pmid=33476998 #FOAvip OBJECTIVES: Malnutrition plays a critical role in the onset and progress of the coronavirus disease 2019 (COVID-19). The aim of the present study was to explore the association of the prognostic nutritional index (PNI) score with the severity of COVID-19 and its predictive value of the severe form of COVID-19. METHODS: Clinical data were collected from 122 patients infected with COVID-19 and hospitalized at the Sixth People's Hospital of Wenzhou, China, a specialized infectious hospital affiliated with the Wenzhou Central Hospital. PNI score was calculated as serum albumin (g/L) + 5 x total lymphocyte count (/nL). RESULTS: The study population consisted of 105 patients (86.1%) with a common form and 17 patients (13.9%) with a severe form of COVID-19. PNI score significantly decreased from patients with common to severe forms of COVID-19 (P = .029) regardless of sex, age range, and body mass index (BMI). After adjustment for sex, age, indexes of liver and renal function, C-reactive protein, and current smoking status, PNI scores remained independently and inversely associated with the severity of COVID-19 (odd ratio: 0.797; P = .030). A receiver operating characteristic analysis showed that PNI scores had a similar accuracy to predict severe forms of COVID-19 compared with its combination with sex, age, and BMI (P = .402). PNI < 49 was defined as the cutoff value to predict the severe form of COVID-19. CONCLUSIONS: Poorer nutritional status predisposed patients infected with COVID-19 to its severe form. Independently associated with the severity of COVID-19, PNI score could serve as a simple, fast, and effective predictor among patients with different sex, age, and BMI. Twit Text FOAVip Predictive value of the prognostic nutritional index for the severity of coronavirus disease 2019 ????Nutrition http://www.kidney.de/pget.php?&tw=1&pmid=33476998 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33476998 #FOAvip English Wikipedia <ref>{{Cite pmid|33476998}}</ref> Predictive value of the prognostic nutritional index for the severity of coronavirus disease 2019 #MMPMID33476998 Hu X; Deng H; Wang Y; Chen L; Gu X; Wang X Nutrition 2021[Apr]; 84 (ä): 111123 PMID33476998show ga OBJECTIVES: Malnutrition plays a critical role in the onset and progress of the coronavirus disease 2019 (COVID-19). The aim of the present study was to explore the association of the prognostic nutritional index (PNI) score with the severity of COVID-19 and its predictive value of the severe form of COVID-19. METHODS: Clinical data were collected from 122 patients infected with COVID-19 and hospitalized at the Sixth People's Hospital of Wenzhou, China, a specialized infectious hospital affiliated with the Wenzhou Central Hospital. PNI score was calculated as serum albumin (g/L) + 5 x total lymphocyte count (/nL). RESULTS: The study population consisted of 105 patients (86.1%) with a common form and 17 patients (13.9%) with a severe form of COVID-19. PNI score significantly decreased from patients with common to severe forms of COVID-19 (P = .029) regardless of sex, age range, and body mass index (BMI). After adjustment for sex, age, indexes of liver and renal function, C-reactive protein, and current smoking status, PNI scores remained independently and inversely associated with the severity of COVID-19 (odd ratio: 0.797; P = .030). A receiver operating characteristic analysis showed that PNI scores had a similar accuracy to predict severe forms of COVID-19 compared with its combination with sex, age, and BMI (P = .402). PNI < 49 was defined as the cutoff value to predict the severe form of COVID-19. CONCLUSIONS: Poorer nutritional status predisposed patients infected with COVID-19 to its severe form. Independently associated with the severity of COVID-19, PNI score could serve as a simple, fast, and effective predictor among patients with different sex, age, and BMI. |*Nutrition Assessment[MESH] |*Nutritional Status[MESH] |*Severity of Illness Index[MESH] |Adult[MESH] |C-Reactive Protein/analysis[MESH] |COVID-19/blood/*physiopathology/virology[MESH] |China[MESH] |Female[MESH] |Humans[MESH] |Lymphocyte Count[MESH] |Male[MESH] |Malnutrition/*virology[MESH] |Middle Aged[MESH] |Predictive Value of Tests[MESH] |Prognosis[MESH] |ROC Curve[MESH] |Retrospective Studies[MESH] |Risk Factors[MESH] |SARS-CoV-2[MESH]Predictive value of the prognostic nutritional index for the severity (epmc).pdf DeepDyve Pubget Overpricing