Abstract:Objective To explore the influence of personalized nutrition management based on network platform on maintenance hemodialysis (MHD) malnutrition patients. Methods From January 2016 to December 2017, 100 patients with MHD malnutrition in Renmin Hospital of Wuhan University were selected. According to the method of random number table, the patients were divided into control group and observation group, 50 cases in each group. The control group was given routine nutrition management (oral education and nutrition education manual) and follow-up for 6 months, the observation group was given routine nutrition management + network extension personalized nutrition management and follow-up for 6 months (WeChat and QQ platform). Nutritional assessment were conducted before and 6 months after nutrition management, modified quantitative subjective global assessment (MQSGA) scores, anthropometry, blood biochemical test. The mean execution days of individual recipes were also compared. Results There was no significant difference in MQSGA score between the two groups before nutrition management (P > 0.05); after 6 months of nutrition management, MQSGA scores in both groups were lower than before nutrition management (all P < 0.05), and the MQSGA score in the observation group was significantly lower than that in the control group (P < 0.01). There was no significant difference in TSF between the two groups before nutrition management (P > 0.05); TSF values in both groups increased significantly 6 months after nutrition management compared with those before nutrition management, and the observation group was significantly higher than that in the control group (P < 0.05). There was no significant difference in upper arm muscle circumference (AMC) between the two groups before nutrition management (P > 0.05); after 6 months of nutrition management, there was significantly increased in AMC the observation group compared with that before nutrition management (P < 0.05), while AMC was no significantly difference in the control group compared with that before nutrition management (P > 0.05), and AMC in the observation group was significantly higher than that in the control group (P < 0.05). Before nutrition management, there was no statistically significant difference in serum albumin (ALB), transferrin (TF) and hemoglobin (Hb) between the two groups (P > 0.05). After 6 months of nutrition management, all biochemical indexes in the observation group were higher than those in the control group (all P < 0.05). After 6 months of nutrition management, ALB, TF and Hb in the observation group were increased significantly compared with those before nutrition management (P < 0.05). Compared with the ALB value before nutrition management in the control group (P > 0.05), the TF and Hb value in the control group increased compared with those before nutrition management (P < 0.05). After 6 months of nutrition management, the average number of days of nutrition diet execution per month in the observation group [(29.4±0.5) d] was higher than that in the control group [(22.6±5.7) d] (P < 0.05), and the compliance of nutrition management in the observation group was significantly better than that in the control group. Conclusion Personalized nutrition management based on network platform can carry out out-of-hospital continuous nursing for MHD patients, which can improve nursing compliance and improve patients′ nutritional status.
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