Objective:Preliminary analysis of the clinical special points of people with different TCM constitution types in patients with abnormal blood and looking for the differential characteristics of serum serological indicators between abnormal blood and normal blood,and one step analysis to get the correlation between different TCM constitution separation types of dyslipidemia Customized serum indicators and specific influencing factors provide an objective basis for the early objective identification of TCM constitution types for dyslipidemia,and improve the awareness and ambiguity of the objective means of TCM early identification and intervention diseases,and provide a basis for the "treatment" based on the progress of TCM constitution It provides a reliable standardized objective basis for the predictive treatment of"preventive disease",and provides a new objective index for individualized treatment based on TCM constitution.Methods:From November 2019 to March 2022,patients with dyslipidemia who were treated in the outpatient emergency department and ward of Dongzhimen Hospital of Beijing University of Traditional Chinese Medicine were screened by cross-sectional research method,and case collection was carried out according to the corresponding criteria of inclusion,exclusion and exclusion,clinical information was collected,the physical observation scale of Traditional Chinese medicine was filled in,the patient was retained for biochemical detection of fasting venous blood in the morning,and the serum was retained for serum Apelin-13 level detection,and the health examiners were screened for comparative analysis.Finally,the collected clinical data are analyzed for integrated statistical analysis.A total of 163 subjects were included in this study,including 148 cases in the dyslipidemia group(approximately 16 persons in each constitutional subgroup),and 15 cases in the healthy group(the number of subjects included in the healthy group was equal to the number of persons included in each constitutional subgroup),and the qualitative data such as sex,age,smoking history,drinking history,and the distribution of physique types in different clinical typings of dyslipidemia were tested by chi-square(specifically select 2*2 chi-square or RxC joint table chi-square according to the actual situation),for age,body mass index and general vital sign data,clinical blood routine,biochemical,hemagglutination tests,serological specific markers and other measurement data,After verifying that it satisfies the normality test and the variance homogeneity test,the sample data is analyzed using the independent sample t(Studengts’ t-test)test and presented as the mean standard deviation,and if the sample data satisfies the normality test,but the variance is uneven,the data is nonparametric tested.After comparing the data between multiple sets of metrology samples,the normality distribution and the variance homogeneity test are generally used,and the one-way variance(ANOVA)analysis is generally used.If there is a statistical difference between the comparison results between multiple sets of sample data,further twoto-two comparisons are required,and the Rigid-Newman-Keuls test is used to satisfy the variance homogeneity test,and the Dunnett’s T3 test is used when the variance cannot meet the variance homogeneity test.The mean comparison between the two sets of metrological data was carried out using the Mann-Whitney U test,that is,a nonparametric test of two independent samples,and the comparison of the means between multiple groups,using the Kruskal-Wallis H test,that is,a nonparametric test of K independent samples.If there is a statistical difference between the comparison results between multiple sets of sample data,further two-to-two comparisons are required,and the Mann-Whitney U test is used.Results:There was no statistical significance(in terms of sex,age,heart rate,diastolic blood pressure,systolic blood pressure and respiratory rate of the two groups of dyslipidemia and healthy groups P>0.05);the average level of people with dyslipidemia was higher than that of the healthy control group in terms of body weight,BMI,lipoprotein(P<0.05);other groups such as platelet count,average platelet volume,hematocrit,absolute neutrophil values,lymphocyte absolute values,C-reactive protein,D dimer,uric acid,alanine aminotransferase,glutamyl transferase,neutrophil values/lymphocyte values,etc.did not see statistically significant differences with healthy controls(P>0.05);serum Apelin-13 was compared between patients with dyslipidemia and patients in the normal lipid group,and the difference between the two was statistically significant(P<0.05),and the dyslipidemia group had a higher serum Apelin-13 level;the top three in the statistical frequency of the physical type of patients with dyslipidemia were damp heat,phlegm and blood stasis(P<0.05);In terms of gender susceptibility analysis,the TCM constitution type of dyslipidemia in men was most common in hot and humid matter(16 cases),followed by qi depression(12 cases),sputum wet matter(11 cases),and peaceful matter was the least common(2 cases).Among the female patients,damp heat matter(13 cases)and sputum wet matter(13 cases)were the most,followed by blood stasis(12 cases),yin deficiency(12 cases),and the least peaceful substance(6 cases);in the analysis of the distribution of TCM physique types in different BMI indexes,there were 44 cases of normal BMI,and the TCM physique types were mainly qi deficiency and qi depression;There are 40 cases of overweight patients,and yang deficiency,yin deficiency and qi depressed are the most common;There were 75 people in the obese group,most of whom were sputum wet and moist heat.There were 5 patients with low body weight;in this study,16 cases of dyslipidemia in the youth group,37 cases in the middle-aged group,60 cases in the elderly group,and 35 cases in the elderly group were included.The population with dyslipidemia in the youth group was dominated by blood stasis population,the middle-aged group was dominated by people with damp heat,phlegm and qi deficiency,the elderly group was dominated by phlegm dampness,damp heat and yin deficiency,and the elderly group was dominated by people with damp heat,phlegm and qi deficiency;in serum TC level,the difference between various constitution types was statistically significant(P<0.05),in the serum TG level,there was no statistical difference between various physique types(P>0.05),and in the serum LDL-C level,there was no statistical difference between various physique types P>0.05),there was a statistical difference between yin deficiency and qi deficiency,yin deficiency and flat mass in serum HDL-C levels(P<0.05),and no statistical difference was found between other physique types(P>0.05).According to serum Apelin-13 levels,there were only peaceful and moist heat,flat and blood stasis,flat and phlegm,qi depression and blood stasis,yin deficiency and damp heat,yin deficiency and phlegm,yang deficiency and blood stasis,yin deficiency and blood stasis,yin deficiency and blood stasis,yin deficiency and blood stasis,yin deficiency and qi deficiency,yang deficiency and damp heat,yang deficiency and blood stasis,qi deficiency and blood stasis,qi deficiency and blood stasis,qi deficiency and blood stasis,qi depression and damp heat,qi depression and phlegm wet matter(P<0.05),and the remaining constitutions did not see obvious statistical significance in comparison between the two;Due to the data bias,we can not make a good visual observation of the data distribution law,according to the general law of statistical analysis,we take the serum Apelin-13 level after taking the logarithmic convergence bias,the overall data of the dy slipidemia population through the Spyarman correlation analysis after comparison found that the serum Log(Apelin-13)level of the dyslipidemia population and TC,age,BMI,heart rate,blood pressure,body weight did not see a significant correlation(P>0.05),It was positively correlated with serum HDL-C levels and was statistically significant(P<0.05),which was inversely correlated with serum TG and LDL-C levels and was statistically significant(P<0.05);in terms of TCM physique integral,blood stasis score was positively correlated with Apelin-13(P<0.05),positively correlated with moist heat matter(P<0.05),positively correlated with phlegm wet matter(P<0.05),and had no obvious correlation with other physique integrals;there was no statistical difference in the distribution of different lipid clinical classifications in different lipid clinical classifications P>0.05).Conclusion:First,the occurrence of dyslipidemia is closely related to weight gain,aging,obesity,smoking history,and alcohol consumption historySecond,in patients with dyslipidemia,phlegm wet matter,damp heat matter,blood stasis are more common,followed by qi depression and yang deficiency,and the least is yin deficiency and peace and quality.The TC level of each constitution type from high to low is sputum wet matter>moist heat matter>blood stasis>qi depression>>yang deficiency>yin deficiency>peaceful quality,HDL-C level,yin deficiency is higher than qi deficiency and peace qualityThird,the level of Apelin-13 in patients with dyslipidemia is higher than that of the normal group,in the population with dyslipidemia,the level of apelin-13 blood stasis is higher than that of other groups,according to the serum Apelin-13 level,the physical types are blood stasis>humid heat>sputum damp matter>qi deficiency>yang deficiency>qi depression>and flat and>Yin deficiency.The log value of serum Apelin-13 level is positively correlated with serum HDL-C level and statistically significant,and negatively correlated with serum TG and LDL-C levels and statistically significant.here is no statistical difference in the classification of virtual TCM constitution in people with dyslipidemia in different clinical classification distributions of blood lipids. |