Professor Kobayashi Based On Data Mining With Experience Of Treating Insulin Resistance

Background:With the enhancement of modern living standards, high cholesterol, high-calorie food intake more, and work pressure increases, the development of transport and changes in lifestyle, making people less and less time to exercise activities, which led to increased incidence of IR. Also, clinical studies have confirmed:hypertension, coronary heart disease, stroke, diabetes and other diseases are caused by the insulin resistance and glucose and lipid metabolism disorders caused by this common soil, so prevention is very important and improving IR. However, TCM syndrome type IR treatment and lack of uniform clinical diagnostic criteria. Instructor with Professor Kobayashi save a lot of valid cases, this part of the analysis of large data summary for clinical treatment is a huge asset.Purposes:The study based on data mining, laboratory markers of insulin resistance and drug-related cases recorded in patients were analyzed to explore the insulin resistance index (HOMA-IR) and various laboratory parameters of relevance, mentor medication experience and Syndromes explore the prevention and treatment of traditional Chinese medicine treatment of insulin resistance.Methods:Use SQL statements from an Oracle database to extract cases the required information to the patient ID number as the key statement, the use of ETL tools patient’s gender, age, BMI, laboratory parameters, symptoms, medicine import the same Excel spreadsheet, and to regulate the statement. The patient’s basic situation and medicine using SPSS20.0frequency analysis, using Excel algorithm symptoms, complications Find analysis; patients with insulin resistance index (HOMA-IR)=fasting plasma glucose FPG (mmol/L) x fasting plasma insulin [FINS (mIU/L)]/22.5; pearson correlation analysis, although the sample size has been more than60cases, but because of HOMA-IR are skewed, so its logarithmic conversion process between the variables are normally distributed, so the use of analysis of various laboratory parameters and HOMA-IR correlation; using SPSS20.0symptoms, herbal cluster analysis were derived syndromes, core prescription.Results: 1. The total included267cases of patients, a total of102cases of males,38.2%; females of165cases, accounting for61.8%. Those who are oldest73and the youngest,17years old, with an average of45years2. Patients with comorbidities IR distribution:267patients, all with type II diabetes, in which103patients with hypertension alone,38patients with fatty liver alone,28patients with hyperlipidemia alone,44patients alone combined with obesity,12cases of coronary heart disease, five cases of diabetic retinopathy,19cases with cerebral vascular lesions,2patients with peripheral neuropathy, and the remaining16patients with complex comorbidities.3. Body mass index (BMI) distribution:267patients, of which a minimum of BMI14kg/m2,up to35kg/m2, with an average of25.07±323kg/m2, with a median of25.07kg/m2,BMI and more, concentrated in the24-28kg/m2, a total208cases, the proportion was77.9%.4. HOMA-IR was positively correlated with HbAlc showed a correlation coefficient of0.360; HOMA-IR and CHO positive correlation, the correlation coefficient was0.163; HOMA-IR and TG showed a positive correlation coefficient was0.268; HOMA-IR and HDL-C was negatively correlated correlation coefficient of-0.147; HOMA-IR and LDL-C was positively correlated to0.175; HOMA-IR was positively correlated with BMI, the correlation coefficient was0.076; HOMA-IR was positively correlated with WHR, the correlation coefficient was0.172. HOMA-IR and gender are not relevant.5. IR and HOMA-IR syndrome distribution:hot Shangyin card (5.56±1.90)21cases, accounting for12.14%; spleen stomach, the actual situation jumbled (7.44±2.38)28cases, accounting for16.18%; Damp spleen (8.07±2.24) in13cases, accounting for7.5%; coke Yongzhi, cream cloud accumulation (9.32±1.98)62cases, accounting for35.84%; phlegm each node syndrome (9.88±2.00)28cases, accounting for16.18%; hepatogastric stagnant heat (11.38±2.56)21cases, accounting for12.14%.6. Dr. Tong common prescription for the treatment of IR is Gan jiang Huang qin Huang Lian Ren shen Tang, Xiaoxianxiong Decoction, Dang Gui Liu Huang Decoction, Zhi Bai Di Huang Pills, Daisaikoto, Pinelliae Decoction for Purging Stomach-Fire, Huang Lianxie heart decoction of rhubarb.