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Impact of dynamically-modified management on patients with type 2 diabetes mellitus in the context of diagnosis-related group system / 中华临床营养杂志
Article in Zh | WPRIM | ID: wpr-1024656
Responsible library: WPRO
ABSTRACT
Objective:To analyze and compare the effects of conventional treatment and the dynamic 3C therapy, continuous glucose monitoring system, and on outcomes, length of hospital stay and medical costs in patients with type 2 diabetes mellitus.Methods:A total of 122 type 2 diabetes mellitus patients who visited the Department of Endocrinology of Shanxi Baiqiu'en Hospital between June 2022 and December 2022 were selected and randomized at 1:1 into the control group and the experimental group using the randomized numerical table method. The t-test and non-parametric test were used as appropriate to compare the glycemic control, length of hospital stay and medical costs of the two groups.Results:Before treatment, there was no significant difference in the indicators for blood glucose levels and fluctuations between the two groups ( P>0.05). After treatment, the glycosylated hemoglobin, fasting plasma glucose, and 2-hour postprandial blood glucose decreased in both groups. Moreover, the glycosylated hemoglobin, fasting plasma glucose, and 2-hour postprandial blood glucose showed more significant decreases in the experimental group compared with the control group after treatment. The glycemic variability indicators, including the time out of range, standard deviation of blood glucose, and the largest amplitude of glycemic excursion, decreased after treatment in both groups. The time in range increased after treatment. After treatment, the standard deviation of blood glucose and the largest amplitude of glycemic excursion in the experimental group were lower than those in the control group, and the length of hospital stay in the experimental group was shortened (all P<0.05). Conclusion:3C therapy contributes to better glycemic control and shorter hospital stay in patients with type 2 diabetes mellitus.
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Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Clinical Nutrition Year: 2023 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Clinical Nutrition Year: 2023 Type: Article