Application effect of risk prediction-based intervention model in intensive care unit patients with liver cancer complicated with refeeding syndrome
Objective To explore the application effect of risk prediction-based intervention model in intensive care unit(ICU)patients with liver cancer complicated with refeeding syndrome(RFS).Method A total of 96 ICU patients with liver cancer complicated with RFS were divided into conventional group(n=47,conventional nutritional support in-tervention)and risk prediction group(n=49,risk prediction-based intervention model)according to different intervention methods.The electrolyte indexes(phosphorus ion,potassium ion,magnesium ion),nutritional indexes[hemoglobin(Hb),albumin(ALB),prealbumin(PAB)],quality of life[European Organization for Research and Treatment of Cancer quality of life questionnaire core 30(EORTC QLQ-C30)]and complications were compared between the two groups.Result On the 5th day after intervention,the levels of phosphorus ion,potassium ion,magnesium ion,Hb,ALB and PAB in the two groups were higher than those before intervention,and the levels of phosphorus ion,potassium ion,magnesium ion,Hb,ALB and PAB in risk prediction group were higher than those in conventional group,and the differences were statisti-cally significant(P<0.05).One month after intervention,the scores of each dimension of EORTC QLQ-C30 in the two groups were higher than those before intervention,and the scores of each dimension of EORTC QLQ-C30 in risk predic-tion group were higher than those in conventional group,and the differences were statistically significant(P<0.05).The total incidence of complications in risk prediction group was significantly lower than that in conventional group(P<0.01).Conclusion The application effect of risk prediction-based intervention model in ICU patients with liver cancer compli-cated with RFS is significant,which can improve the electrolyte levels and nutritional status,improve the quality of life,and reduce the incidence of complications.
intensive care unitliver cancerrefeeding syndromerisk predictionelectrolyte indexnutritional indexquality of life