Predictive value of the prognostic nutritional index for the severity of coronavirus disease 2019

•The prognostic nutritional index (PNI) reflects the immune-nutritional status of patients infected with the coronavirus disease 2019 (COVID-19)•PNI score decreased with the progress of COVID-19 from common to severe forms•The PNI is an inverse and independent factor associated with the severity of...

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Veröffentlicht in:Nutrition (Burbank, Los Angeles County, Calif.) Los Angeles County, Calif.), 2021-04, Vol.84, p.111123-111123, Article 111123
Hauptverfasser: Hu, Xiang, Deng, Huihui, Wang, Yuxia, Chen, Lingqiao, Gu, Xuemei, Wang, Xiaobo
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Sprache:eng
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Zusammenfassung:•The prognostic nutritional index (PNI) reflects the immune-nutritional status of patients infected with the coronavirus disease 2019 (COVID-19)•PNI score decreased with the progress of COVID-19 from common to severe forms•The PNI is an inverse and independent factor associated with the severity of COVID-19•PNI < 49 is a cutoff value to predict the severe form of COVID-19•PNI score could be a simple, fast, and effective predictor of COVID-19 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. 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 × total lymphocyte count (/nL). 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. 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.
ISSN:0899-9007
1873-1244
DOI:10.1016/j.nut.2020.111123