Incidence and risk factors of refeeding syndrome in patients with severe stroke / 国际脑血管病杂志

ABSTRACT

Objective:To investigate the incidence and related risk factors of refeeding syndrome (RFS) in patients with severe stroke.Methods:Patients with severe stroke admitted to the Department of Neurology, the First Affiliated Hospital of Soochow University underwent nutritional treatment again after fasting between December 2017 and October 2022 were included retrospectively. The incidence of RFS in patients with severe stroke was summarized. Multivariate logistic regression models were used to analyze the independent risk factors for RFS. A restricted cubic spline model was used to explore the dose-response relationship between relevant indicators and RFS. Results:A total of 188 patients were included, including 108 males and 80 females, with a median age of 72 years (interquartile range, 63-77 years); 185 patients (98.4%) had ischemic stroke and 3 (1.6%) had cerebral hemorrhage; 59 (31.4%) received enteral nutrition, 36 (19.1%) received gastrointestinal decompression, 30 (16.0%) received mechanical ventilation; and 60 patients (31.9%) developed RFS. Multivariate logistic regression analysis showed that serum creatinine (odds ratio [ OR] 1.011, 95% confidence interval [ CI] 1.001-1.020; P=0.025), serum potassium ( OR 8.349, 95% CI 3.025-23.039; P<0.001), serum phosphorus ( OR 46.578, 95% CI 6.444-336.661; P<0.001) and diabetes ( OR 2.173, 95% CI 1.087-4.345; P=0.028) were the independent risk factors for the occurrence of RFS. The restricted cubic spline model analysis showed that there was a non-linear relationship between serum creatinine and RFS, and the increased risk of RFS showed an "S" shape with the increase of serum creatinine. When serum creatinine exceeded 70.68 μmoI/L, the risk of RFS continued to increase. There was no non-linear relationship between serum phosphorus and serum potassium and RFS. Conclusions:Serum creatinine, serum phosphorus, serum potassium and diabetes are the independent risk factors for RFS in patients with severe stroke. These risk factors should be utilized to identify the high-risk patients with RFS early and the targeted measures should be taken as soon as possible.