Study on the TCM Syndromes Evolution and Chinese Herbal Characteristics of Type 2 Diabetes Patients with Different Courses of Disease in TCM "Heat Stage": A Real-World Study

Effect of Gegen Qinlian Decoction combined with dietary management on patients with damp-heat Type-2 diabetes mellitus and metabolic syndrome

Objective

To explore the effect of Gegen Qinlian Decoction (GQD) combined with dietary management in the treatment of patients with Type-2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) (T2DM MetS).

Methods

This is a retrospective analysis of 102 cases of T2DM in the Brain Hospital of Hunan Province, China from April 2020 to February 2023. Of them, 49 patients received conventional drug treatment (control group), and 53 patients received GQD combined with dietary management on the basis of conventional drugs (observation group). Treatment efficacy was calculated, and blood glucose levels before and after the treatment, blood lipid-related indicators, tumor necrosis factor-α (TNF-α) and adiponectin (ADP) levels, and incidence of adverse reactions were compared between the two groups.

Results

The total efficacy of the observation group (92.45%) was significantly higher than that of the control group (75.51%) (P<0.05). After the treatment, blood glucose and lipid indicators in both groups were significantly improved compared to pretreatment levels, and were significantly better in the observation group than in the control group (P<0.05). After the treatment, TNF-α levels in both groups decreased compared to before the treatment, and were significantly lower in the observation group compared to the control group. Levels of ADP after the treatment increased, and were significantly higher in the observation group compared to the control group (P<0.05).

Conclusions

When taken as an adjunct to the conventional drug regimen, GQD combined with dietary management can effectively regulate blood glucose and lipid metabolism in patients with T2DM and MetS (T2DM MetS), improve TNF-α and ADP levels, and enhance disease treatment effectiveness.

Correlation between TCM Syndromes and Type 2 Diabetic Comorbidities Based on Fully Connected Neural Network Prediction Model

Objective

To predict the major comorbidities of type 2 diabetes based on the distribution characteristics of syndromes, and to explore the relationship between TCM syndromes and comorbidities of type 2 diabetes.

Methods

Based on the electronic medical record data of 3413 outpatient visits from 995 type 2 diabetes patients with comorbidities, descriptive statistical methods were used to analyze the basic characteristics of the population, the distribution characteristics of comorbidities, and TCM syndromes. A neural network model for the prediction of type 2 diabetic comorbidities based on TCM syndromes was constructed.

Results

Patients with TCM syndrome of blood amassment in the lower jiao were diagnosed with renal insufficiency with 95% test sensitivity. The patients with spleen deficiency combined with ascending counterflow of stomach qi and cold-damp patterns were diagnosed with gastrointestinal lesions with 92% sensitivity. The patients with TCM syndrome group of spleen heat and exuberance of heart fire were diagnosed as type 2 diabetes complicated with hypertension with a sensitivity of 91%. In addition, the prediction accuracy of combined neuropathy, heart disease, liver disease, and lipid metabolism disorder reached 70∼90% in TCM syndrome groups.

Conclusion

The fully connected neural network model study showed that syndrome characteristics are highly correlated with type 2 diabetes comorbidities. Syndrome location is commonly in the heart, spleen, stomach, lower jiao, meridians, etc., while syndrome pattern manifests in states of deficiency, heat, phlegm, and blood stasis. The different combinations of disease location and disease pattern reflect the syndrome characteristics of different comorbidities forming the characteristic syndrome group of each comorbidity. Major comorbidities could be predicted with a high degree of accuracy through TCM syndromes. Findings from this study may have further implementations to assist with the diagnosis, treatment, and prevention of diabetic comorbidities at an early stage.