Objective: To explore the clinical value of color Doppler ultrasound in evaluation of carotid artery before and after treatment of diabetes cases.Methods:A total of 80 cases of Type 2 Diabetes were examined with color Doppler ultrasound before and after treatment in Carotidor. Their carotid artery wall,lumen,intima-media thickness and plaque size,and flow conditions were analyzed respectively, ResuLts: In 80 cases of type 2 diabetes detection rates of carotid artery atherosclerotic plaque after treatment were lower than those before treatment,and the carotid artery diameter,Intima-media thickness and resistance index were reduced too. Conclusion:Using color Doppler ultrasound in carotid artery,can be directly observe large vascular wall and luminal lesions,and has a important clinical value in the prevention of diabetic carotid atherosclerosis and formulation the means of intervention,and it has broad application prospects in suppression of diabetic macrovascular disease development.

Objective To examine the effect of aqueous extracts of Scutellaria baicalensis Georgi and Radix paeoniae Alba on periodontitis mice and compare the results of the two herbs for the treatment of the periodontitis mice.Methods Sixty-four SPF 12-week-old male Kunming mice were selected and randomly divided into four groups:Control group (C) ;Experimental periodontitis group (P):the peridontitis models in Kunming mice were prepared by wrapping silk ligature and inoculating with putative periodontopathic bacteria; Scutellaria baicalensis Georgi treatment group(SG):periodontitis was induced by the same method described above,the mice were gavaged with Scutellaria baicalensis Georgi; Radix paeoniae Alba treatment group (RG):periodontitis was induced by the same method described above,the mice were gavaged with Radix paeoniae Alba.Four mice were sacrificed at each time point of the end of 4,6,8 and 10 weeks in each group.The histopathological changes of periodontal tissue were observed under microscope with HE staining.The level of serum IgG1 and IgG2a was measured by enzyme-linked immunosorbent assay(ELISA).Results A serious inflammatory response,alveolar progressive absorption and a large number of osteoclasts were observed in the experimental periodontitis group.However,in SG and RG,the inflammation of the periodontal tissue was decreased and tissue repair was significant.The level of serum IgG2a in SG(6 week:0.934 ± 0.006,8 week:0.743 ± 0.009,10 week:0.674 ± 0.008) and RG (6 week:1.023 ± 0.032,8 week:0.851 ± 0.032,10 week:0.790 ± 0.009) was significantly decreased after the mice were gavaged with the two herbs(P ＜ 0.01).The level of serum IgG2a in SG was significantly lower than that of RG(P ＜0.01).The level of serum IgG1 in SG(6 week:0.314 ±0.006,8 week:0.344 ± 0.004,10 week:0.367 ±0.006) and RG(6 week:0.287 ±0.005,8 week:0.303 ±0.058,10 week:0.336 ±0.006) were significantly increased(P ＜ 0.01).The level of serum IgG1 in SG was significantly higher than that of RG (P ＜ 0.0l).Conclusions Both the aqueous extracts of Scutellaria baicalensis Georgi and Radix paeoniae Alba showed therapeutic effect on periodontitis in mice.Scutellaria baicalensis Georgi was more effective than Radix paeoniae Alba.

Objective:To explore the influencing factors of insomnia disorder in perimenopausal women and construct a prediction model of insomnia disorder in perimenopausal women based on machine learning method.Methods:A case-control study was used in this study. A total of 140 perimenopausal women who were examined in Lishui Maternal and Child Health Hospital from January 2019 to June 2021 were selected as the study objects for retrospective analysis by convenient sampling method. They were divided into occurrence and non-occurrence groups based on the presence of insomnia disorders. Relevant data of the patients were collected and risk factors analysis was conducted. Multivariate Logistic regression, decision classification regression tree (CRT) and back propagation neural network (BPNN) algorithm based on machine learning, the prediction model of insomnia disorder in perimenopausal women was constructed.Results:A total of 140 perimenopausal women were included, including 88 patients (62.86%) in the occurrence group, aged (50.16 ± 4.73) years old, and 52 patients (37.14%) in the non-occurrence group, aged (47.33 ± 4.54) years old. Multivariate Logistic regression analysis showed that percapita family monthly income ( OR = 0.019, 95% CI 0.001-0.422, P<0.05), Hamilton Depression Scale (HAMD) score ( OR = 1.665, 95% CI 1.108-2.502, P<0.05) and Self-rating Anxiety Scale (SAS) score ( OR = 1.407, 95% CI 1.085-1.826, P<0.05) of the two groups were independent risk factors for the occurrence of insomnia disorder in perimenopausal women. The prediction model constructed by CRT showed that SAS score, HAMD score and percapita family monthly income were the influencing factors for the occurrence of insomnia disorder in perimenopausal women. The results of BPNN model showed that the importance ranking of influencing factors was SAS score>percapita family monthly income>HAMD score>body mass index>age>work status>daily exercise cumulative time. Among the models constructed by the three machine learning algorithms, the area under the curve of multivariate Logistic regression analysis was 0.998, the sensitivity was 96.6%, the specificity was 100.0%, which had the best predictive performance. Conclusions:In this study, the prediction model of insomnia disorder in perimenopausal women based on machine learning method has good prediction efficiency, among which the multivariate Logistic regression model has the best diagnostic efficiency, and the established prediction model has good prediction accuracy.