Queue name (in Chinese and English) and international clinical trial registration Tianjin Medical University Cohort Study of Chronic Diseases
Project leader (lead unit) Li Weidong (Tianjin Medical University)
Project introduction This cohort study has included data since May 2006 and collected biological samples since May 2011. The purpose of this study is to explore the genetic and non genetic risk factors of hypertension, type 2 diabetes, hyperuricemia and chronic kidney disease, and to establish an efficient risk prediction model, so as to provide a basis for large-scale prevention and treatment of chronic diseases.
Objective To analyze the risk factors of chronic diseases and establish prediction models.
Study Design An open prospective cohort study of adult population.
Inclusion criteria: adults over 18 years old.
Exclusion criteria: disabled, semi-disabled, refused or unable to cooperate with the investigation.
The population characteristics come from the cadre physical examination population in Tianjin. The average age is 61.06 ± 13.61 years, of which 76.5% are male.
The number of people completed/the target number is 22000/25000.
Start and end years and follow-up interval 2006 -; Follow up once a year.
The contents of the questionnaire are age, sex, nationality, marriage and children status, smoking, drinking, occupation, education background, family income, disease history, family history, etc.
Medical examination and measurement indicators: blood pressure, heart rate, height, weight, waist circumference, hip circumference, lung function, chest radiograph, electrocardiogram, thyroid ultrasound, abdominal ultrasound, breast and gynaecological ultrasound, carotid artery ultrasound (CIMT), transcranial Doppler, color Doppler ultrasound of lower limb blood vessels, fundus photography, bone mineral density; Helicobacter pylori examination; Fasting blood glucose, glycosylated hemoglobin, triglyceride, total cholesterol, high-density lipoprotein, low-density lipoprotein, blood uric acid, ferritin, albumin, C-reactive protein, alanine aminotransferase, aspartate aminotransferase, etc; Various tumor markers; Fibrinogen content, blood routine, urine routine, stool routine; Various cancer markers (alpha-fetoprotein, ferritin, carcinoembryonic antigen, sugar chain antigen 19-9, sugar chain antigen 242, anti-squamous cell carcinoma antigen, prostate specific antigen (male), free prostate antigen, human epididymal epithelial secretory protein 4, sugar chain antigen 15-3, etc.). There are 360 genome-wide genotyping data and homocysteine, cystatin C, TGF- β、 Detection data of biomarkers such as ADMA and NGAL.
Outcome indicators: diabetes and angiopathy, chronic kidney disease, hypertension, hyperlipidemia, fatty liver, common carotid atherosclerosis, atrial fibrillation, thyroid tumor or nodule, cardiovascular and cerebrovascular diseases, cancer, healthy life and all-cause death.
The biological sample bank has 22000 plasma and DNA samples.
The main achievements have been the 15 year follow-up of 2000 people and the 10 year follow-up of 4600 people. It is found that hyperuricemia is an independent risk factor of hypertension, and there is a dynamic coupling between blood uric acid level and glycosylated hemoglobin level. The prediction equation of type 2 diabetes, hyperuricemia and chronic kidney disease with high prediction efficiency has been established. Published 15 SCI papers and 14 core journal papers.
Open website to be built.