| As the rising incidence of dyslipidemia, also gradually to younger onset. The disease interact with other risk factors for cardiovascular disease, which can lead to atherosclerosis, increased the risk of cardiovascular disease and mortality. So the prevention and treatment of dyslipidemia in improving people’s living quality and level, prolong human life is of great significance. As time medicine by modern medical attention and more and more attention, has become the future development direction of medical research is one of the most important, but its research is still in its infancy, the object of study is relatively single and shallow, and the ancient legacy of traditional Chinese medicine the understanding and the understanding for nature works has formed a relatively complete theoretical system. Therefore, understanding the nature and the change rule of human contact, and combined with in modern, western medicine diagnosis and treatment, prevention, diagnosis, treatment of disease, regulating has great guiding significance, but also for future clinical research has provided a broad space for development.Objective:Through the clinical investigation and analysis of different seasons in a year of dyslipidemia in patients with TCM syndrome type distribution, and different season card type distribution change characteristics, discusses different seasons dyslipidemia the causes and regularities of the variation of the TCM syndrome type distribution, for traditional Chinese medicine in the treatment of dyslipidemia etiology, pathogenesis, syndrome differentiation and treatment guidance.Methods:1 The object of study, the experiment on March 6,2015 to 2015, during the period January 19, in binary 2 to (the vernal equinox, autumnal equinox, summer solstice, winter solstice), and each one before and after the throttle (each season, a total of 45 days), according to the diagnostic standard of dyslipidemia, and the experiment into, exclusion criteria dyslipidemia patients,160 cases of collection, analysis of the different seasons of dyslipidemia in patients with TCM syndrome type distribution and different season type distribution change characteristic, regularity and the reasons for the changes.2 Analysis methods:2.1 Sample size estimation:according to the level of data analysis of multiple factors of general rule, sample size for the factor of 20 times, this study five kinds of TCM syndrome types and four main research season, studies the number of cases of (5+4-1)* 20= 160. Considering the actual situation, this research into the cases of 160 cases.2.2 Statistical method:after the treatment, according to the above standard evaluation of curative effect, the research data by Epidata 3.1 for data entry and management, statistical analysis of the data by SPSS 22.0. Accord with normal distribution, according to measurement data using standard deviation of mean and subtract between groups compared with independent sample t-test, within the group before and after treatment compared with paired t test. Count data using the number of cases (percentage), said the group comparison between chi-square test is used. All inspection to bilateral p< 0.05 for the difference was statistically significant.Results:1 Will spring, summer, autumn, winter four groups of patients in the general data independent sample t-test, the results show that except for the summer, autumn in baseline characteristics between the outside of age differences between the two groups have statistical significance (P= 0.038, P< 0.05), and the rest were no statistical significance of each feature. Four groups of patients with good balance and comparable.2 Patients with dyslipidemia in patients with phlegm turbidity deter a card type frequency distribution shows high spring and summer, autumn and winter low distribution trend; The liver and kidney Yin deficiency syndrome in patients with low frequency distribution in spring and summer, autumn and winter high trend; Spleen and kidney Yang deficiency, Yin deficiency patients with hand and qi and blood stasis type frequency distribution in the four seasons are basically the same. But by the chi-square test, each card type distribution in the four seasons is not obvious difference, P= 0.073 (P> 0.05).3 In 160 patients of TG, TC, HDL-C, index of LDL-C, only the HDL-C mean differences between groups was statistically significant, P= 0.036< 0.05. One of the spring and autumn group (P= 0.006< 0.05, there are significant differences; Spring and winter group P= 0.025< 0.05, there are significant differences; HDL-C value averages of 1.33 in the spring, summer, the average is 1.18, the fall of 1.05 and 1.11 in winter. Average of HDL-C was obviously higher than that of spring autumn and winter. And 160 cases of patients with TG, TC, LDL-C, HDL-C mean differences had no statistical significance between groups, P> 0.05). Qi and blood stasis type as the sample size too small can’t statistics.4 Between BMI group of 160 patients in this study mean difference was statistically significant, P= 0.000< 0.05. Phlegm turbidity deter syndrome and spleen kidney Yang deficiency syndrome group of P= 0.001< 0.05, there are significant differences; Phlegm turbidity deter a card type and liver and kidney Yin deficiency syndrome group (P= 0.010< 0.05, there are significant differences; Phlegm turbidity repression of syndrome type group and Yin deficiency hand model group (P= 0.001< 0.05, there are significant differences. P values between other syndrome group were greater than 0.05, there was no significant difference. Qi and blood stasis type as the sample size too small can’t statistics. Phlegm turbidity deter a card type BMI was the highest in each card type, the rest of the group no difference between the BMI. In 160 patients were included, BMI index of mean differences in four seasons group were not statistically significant, P> 0.05).5 This experiment a waist-to-hip ratio of 160 patients in season or card type group, each group mean differences were not statistically significant, P> 0.05).Conclusion:1 In patients with dyslipidemia, phlegm turbidity deter a card type of patients most, followed by subsequent liver and kidney Yin deficiency syndrome, spleen kidney Yang deficiency syndrome and Yin deficiency type hand syndrome patients, and qi stagnation and blood stasis patients at least. In four seasons group, each card type distribution rule and its the same.2 In different seasons, the justification of dyslipidemia type distribution shows certain regularity, the phlegm turbidity deter a card type higher frequency present a spring and summer, autumn and winter to reduce the distribution trend; The happening of the liver and kidney Yin deficiency syndrome frequency presents the spring and summer, autumn and winter had high distribution trend; The spleen kidney Yang deficiency syndrome, Yin deficiency hand type and qi and blood stasis type in the four seasons distribution trend is basically the same. But by the statistical analysis shows that the card type distribution in the four seasons, there is no obvious difference.3 HDL-C level presents high spring, autumn and winter low trend. And the TG, TC, LDL-C and no obvious seasonal variation trend. TG, TC, HDL-C, LDL-Clevel and there is no obvious difference between different syndrome types. 4 phlegm turbidity deter a BMI of syndrome patients was obviously higher than that of other syndrome group, no difference between the BMI between groups. Phlegm turbidity deter syndrome patients accounted for 50% of the total number of overweight and obese patients. BMI and seasonal change has no obvious correlation.5 Patients with dyslipidemia waist-to-hip ratio in different syndrome types, and no significant differences between also has no obvious correlation with seasonal change. |
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