Background: The prognostic nutritional index (PNI) has been described as a simple risk-stratified tool for several diseases. We explored the predictive role of the PNI on coronavirus disease 2019 (COVID-19) severity. Methods: A total of 101 patients with COVID-19 were included in this retrospective study from January 2020 to March 2020. They were divided into two groups according to COVID-19 severity: non-critical ( n = 56) and critical ( n = 45). The PNI was calculated upon hospital admission: 10 × serum albumin (g/dL) + 0.005 × total lymphocyte count (/mm 3 ). Critical COVID-19 was defined as having one of the following features: respiratory failure necessitating mechanical ventilation; shock; organ dysfunction necessitating admission to the intensive care unit (ICU). The correlation between the PNI with COVID-19 severity was analyzed. Results: The PNI was significantly lower in critically ill than that in non-critically ill patients ( P < 0.001). The receiver operating characteristic curve indicated that the PNI was a good discrimination factor for identifying COVID-19 severity ( P < 0.001). Multivariate logistic regression analysis showed the PNI to be an independent risk factor for critical illness due to COVID-19 ( P = 0.002). Conclusions: The PNI is a valuable biomarker that could be used to discriminate COVID-19 severity.
【저자키워드】 COVID-19, Prognosis, severity, Prognostic nutritional index, nutrition – clinical, 【초록키워드】 coronavirus disease, Biomarker, Diseases, Respiratory failure, intensive care, hospital, COVID-19 severity, ICU, Lymphocyte count, Retrospective study, Critically ill, organ dysfunction, serum albumin, prognostic, correlation, characteristic, Admission, Critical, Predictive, Logistic regression analysis, multivariate, independent risk factor, significantly lower, defined, described, analyzed, indicated, calculated, two group, non-critically ill patient, patients with COVID-19, with COVID-19, 【제목키워드】 index, value,