Current Status and Influencing Factors of Refeeding Syndrome among Critically Ill Patients with Enteral Nutrition
Objective:To explore the current status and influencing factors of refeeding syndrome(RFS)among critically ill patients with enteral nutrition,so as to provide reference for early prevention and treatment of RFS.Method:The clinical data of 158 critically ill patients with enteral nutrition in Intensive Care Unit(ICU)of the Second Affiliated Hospital of Shandong First Medical University from July 2020 to July 2023 were retrospectively included.Patients were assigned into RFS group and non-RFS group according to the presence or absence of RFS.The clinical data of all patients were collected,and influencing factors of RFS in critically ill patients with enteral nutrition were identified using univariate and multivariate logistic regression analysis.Result:RFS occurred in 51 of 158 critically ill patients with enteral nutrition,with an incidence rate of 32.28%.Statistical difference was found between two groups in age,percentage of enteral nutrition started within 48 h of ICU admission,percentage of mechanical ventilation,daily protein intake,nutritional risk screening scale(NRS-2002)score,sequential organ failure assessment(SOFA),acute physiology and chronic health evaluation(APACHEⅡ)score,prealbumin,and albumin(P<0.05).Multivariate logistic regression analysis denoted that age,enteral nutrition started within 48 h of ICU admission,mechanical ventilation,daily protein intake,NRS-2002 score,SOFA score,APACHEⅡ score,prealbumin and albumin were all risk factors for RFS in critically ill patients with enteral nutrition(P<0.05).Conclusion:Critically ill patients with enteral nutrition suffer a high risk of RFS,and the age,enteral nutrition started within 48 h of ICU admission,mechanical ventilation,daily protein intake,NRS-2002 score,SOFA score,APACHEⅡ score,prealbumin and albumin are all risk factors for RFS.Therefore,the clinic should identify the high-risk group at an early stage and develop effective preventive and curative measures.
万方数据
维普
