ABSTRACT
Objective To detect the gastric motility in patients with type 2 diabetes mellitus, and to explore the relationship between disorder of gastric motility in diabetes and the influential factors. Methods Sixty-five patients with type 2 diabetes mellitus and 30 health control subjects were collected. The gastric motility was tested with the signal processing device designed by Chongqing University of Posts and Telecommunications. The impedance and electrical signals were collected at the same time. Fasting blood glucose (FBG) was detected by oxidation enzyme method, while microcolumn method was adopted to test HbA1c. Results In the 65 patients with type 2 diabetes mellitus,the occurrence of abnormal gastric motility was 53.85% , they had several symptoms, such as abdominal distension, early satiety, and belching. The percentage of dominant frequency of impedance gastrogram in diabetes group was lower than that in the normal controls (P<0. 05 ). The percentage of dominant frequency of EGG in the abnormal HbA1c group( ≥6. 5% ) was significantly lower than that in the normal HbA1c group ( P<0. 01). The percentage of bradygastria in the elderly was higher than that in young and middle-aged subjects (P<0. 05), respectively. Disorder of gastric motility was not correlated with FBG and course of disease. Conclusions The incidence of disordered gastric motility is very high in patients with type 2 diabetes mellitus. Elderly patients and those with higher HbA1c are prone to suffer from disordered gastric motility. However, disorder in gastric motility is not correlated with FBG and duration of the illness.
ABSTRACT
Monitoring the depth of anesthesia (DOA) is essential for improving the quality of anesthesia and ensuring the patient's safety and rehabilitation. Monitoring DOA can increase the quality of anesthesia and the safety of operation, thus decreasing the complications caused by anesthesia. With the development of electronic and information technology, the researches for detecting DOA have made great progress. In this paper, the techniques for monitoring DOA are reviewed.