Clinical Value of Prognostic Nutritional Index in Prediction of the Presence and Severity of Neonatal Sepsis
Tiewei Li, Minglu Qi, Geng Dong, Xiaojuan Li, Zhe Xu, Yulei Wei, Yichuang Feng, Chong Ren, Yaguo Wang, Junmei Yang
Abstract
PURPOSE: The prognostic nutritional index (PNI) is a common indicator of nutritional and inflammatory status and is associated with various diseases such as cancer, cardiovascular diseases and infectious diseases. However, to date, no study has concentrated on the role of PNI in assessing and predicting the presence and severity of neonatal sepsis. Therefore, the present study aimed to explore the association of the PNI with the presence and severity of neonatal sepsis. MATERIALS AND METHODS: /L). Multivariate logistic regression analysis was performed to identify the risk factors for the presence and severity of neonatal sepsis. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive value of PNI. All statistical analyses were performed using the statistical package SPSS 24.0. RESULTS: PNI was lower in neonates with sepsis and decreased significantly with the severity of sepsis. The correlation analysis demonstrated that the PNI was negatively correlated with the levels of the inflammatory marker procalcitonin (PCT) and C-reactive protein (CRP), and the length of hospital stay. Multivariate logistic regression analysis revealed that the PNI was independently and inversely associated with the presence and severity of neonatal sepsis. The area under the ROC curve of the PNI was 0.64 (95% confidence interval (CI): 0.61-0.67, P < 0.001) for severe sepsis and 0.69 (95% CI: 0.60-0.78, P < 0.001) for septic shock. In addition, our data revealed that PNI was also independently correlated with the length of hospital stay. CONCLUSION: PNI is an independent predictor for the presence and severity of neonatal sepsis.