Gastrointestinal Injury Clinical Trial
Official title:
Study on the Value of Digital Continuous Bowel Sound Monitoring in AGI of Critically Ill Patients With ICU
The incidence of gastrointestinal diseases is high in intensive care unit (intensive care unit,ICU). In critically ill patients, the intestinal tract is the "engine" of multiple organ dysfunction syndrome (Multiple organ dysfunction syndrome,MODS) and a component of multiple organ dysfunction syndrome, which is closely related to the poor prognosis of critically ill patients. In 2012, the abdominal working group of the European Association of critical Care Medicine (the European Society of Intensive Care Medicine,ESICM) put forward the concept of "acute gastrointestinal injury" (acute gastrointestinal injury,AGI), which was defined as gastrointestinal dysfunction caused by acute disease in critically ill patients. However, the grading system is complex and general, which does not reflect other gastrointestinal functions such as endocrine, immunity, barrier and so on, and lacks the support of objective laboratory results. When patients with acute gastrointestinal injury, gastrointestinal digestion and absorption, endocrine, immunity, barrier function are affected in varying degrees. The levels of indexes reflecting gastrointestinal digestion and absorption, endocrine and immunity were different among different AGI grades. The purpose of this study was to observe the characteristics of AGI bowel sounds in critically ill patients with ICU by digital continuous bowel sound monitoring, and to explore the clinical value of bowel sounds characteristics in AGI of critically ill patients combined with the changes of biomarkers of gastrointestinal injury.
In this study, digital bowel sound monitoring equipment was used to continuously monitor the bowel sound of critically ill patients with ICU. This technology added the intestinal sound characteristic database to the data processing center, analyzed and identified the intestinal sound data through the intestinal sound recognition algorithm, further analyzed the parameters such as audio frequency, spectrum and power spectrum, and observed the changes of biomarkers such as citrulline and intestinal fatty acid binding protein. ;
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