Application Of Intra-Abdominal Pressure Monitoring In Early Enteral Nutrition After Abdominal Surgery

Objective: To explore the effect of intra-abdominal pressure monitoring in early enteral nutrition therapy after abdominal surgery. Methods: 164 patients who underwent elective abdominal surgery in our hospital from January 2019 to January 2020 were selected and divided into an observation group and a control group according to the random number table method, with 82 cases in each group. On the basis of conventional enteral nutrition nursing, the control group received conventional gastric residual monitoring, and the observation group received intra-abdominal pressure monitoring. The clinical treatment effect, intra-abdominal pressure, incidence of intra-abdominal hypertension, APACHE-II score, and enteral nutrition tolerance were compared. Correlation of early enteral nutrition intolerance and intra-abdominal pressure was analyzed in the ROC curve. Results: The time of abdominal pain relief, adjusted enteral nutrition, and hospitalization were significantly shorter in the observation group (P 0.05). The intra-abdominal pressure, intra-abdominal hypertension rate, and APACHE-II scores were comparable before treatment (P 0.05) and all were significantly reduced after treatment in the two groups (P < 0.05). After treatment, the above items were significantly lower in the observation group (P < 0.05). The enteral nutrition's tolerance level of the observation group was significantly higher than that of the control group (P < 0.05). The Pearson correlation analysis revealed that the early enteral nutrition tolerance of patients after abdominal surgery was correlated with the level of intra-abdominal pressure (P < 0.05). The ROC reveled that the baseline level of intra-abdominal pressure and the average level of intra-abdominal pressure 3 days before enteral nutrition were of diagnostic values in predicting the intolerance during enteral nutrition. Conclusion: Intraperitoneal pressure monitoring can significantly improve patients' symptoms, and it should be accurately measured for doctors to make timely diagnoses and provide proper treatments.