| Objective:To establish a set of clinical database and sample resource library for Alzheimer disease (AD) and mild cognition impairment (MCI) patients with clinical, imaging, sample information and to provide the platform for AD and MCI prevention, diagnosis and treatment of new technology research and the development of new drugs.Methods:1. The main technical parameters of the software development included:B/S server/client engine structure, Oracle lOg database, Java language, development framework based on J2EE, XML technique, CDA, HL7, DICOM standard, SDH networking, USB Digital certificates based on PKI system application security gateway.Results:1. To constructe regional AD clinical and biological sample library successfully based on the J2EE framework and using B/S architecture, with Java as the programming language, combined with the characteristics of clinical diagnosis and treatment of AD.2. Using the database, the successful completion of "Shandong Province dementia early prevention and treatment of clinical medical research platform construction" and Alzheimer’s disease and technological innovation alliance "25 hospitals Department of Neurology; memory designed outpatient clinical data and biological sample collection, organize, store, set management and sharing.3. A total of 3000 participants were collected, including 1264 males and 1736 females. Positive screening for cognitive function (AD8 or MMSE positive for screening positive) was 1802 people, accounting for 59.95%, these people are AD or MCI high-risk patients. The number of male was 379, accounting for 30.86%,849 of women and 69.14% of women, suggesting that women are the risk factors of cognitive impairment. The age of positive group was 73.47+6.60, range 54-103 years old. The average age of the negative group was 67.29+4.95, range 44-91 years old, the older age, the more likely cognitive dysfunction, age is the high risk factors of cognitive impairment. Positive in the 1225 Han Chinese,1751 negative, the proportion was 99.59%,98.70%, suggesting that there is no clear relationship between ethnic and cognitive function. Positive farming, workers, business, students, village cadres, village doctors) and other types of number are 1129,48,4,28,12,5, the proportion are 91.79%, 3.90%,0.33%,2.28%,0.98%,0.41%; negative farmers, workers, business, students, village cadres, village doctors), other classes (1-6) represents the number respectively is 1538,96,16,79,23,12, the proportion are 86.70% and 5.41% and 0.90% and 4.45%, 1.30% and 0.98%, indicating that the cognitive impairment and the career is no clear correlation. Was unmarried, age at first marriage, married, divorced/widowed number (1-4) are 14,777,4,433, proportion are 1.14%,63.12%,0.32%,35.17%, negative numbers are 14,1348,13,390, respectively, the ratio is 0.79%,75.94% and 0.73%, 21.97%, indicating that the cognitive impairment and marital status is no clear correlation. Positive Chinese blind, elementary school, junior high school, high school, college, University and above (1-6) represents the number of are 792,277,134,23,3,2, the proportion of illiterate most 64.34%, while the negative Chinese blind, elementary school, junior high school, high school, College, university or above number are 711, 754,253,47,6,4, the proportion of primary school up to 42.48%, followed by illiteracy, 40.06% accounted for, suggesting that cultural level is affected cognitive level and illiteracy is the high risk factors of cognitive impairment. Positive in the left hand, right hand number is 55,1174, respectively, the ratio is 4.47%,95.37%; negative in the left hand, right hand number is 59,1706, respectively, the ratio is 3.32%,96.11 per cent, indicating that the cognitive function and handedness is no clear correlation. Positive group, smoking, drinking, do not brush their teeth number 318,300,794, the proportion was 25.83%,24.37%,64.55; negative group not smoking, not drinking, the number of teeth to 1017,1035,911, the proportion are 57.36%,58.41% and 51.38%, suggesting that smoking, drinking is cognitive dysfunction of risk factors. Positive hypertension in 729 people, accounting for 40.48% of the number of positive, negative group of 407 patients with hypertension, accounting for 33.83% of the negative number, suggesting that hypertension is a risk factor for cognitive impairment. The positive group of 284 patients with hyperlipidemia, accounting for 15.77% of the total number of patients with high blood lipids in the negative group of 135 people, accounting for 11.25% of the number of negative, suggesting that high blood lipids are high risk factors of cognitive impairment. The positive group of diabetes 339 people, accounting for 18.86% of the number of positive, negative group of 101 people with diabetes, accounting for 8.39% of the negative number, suggesting that diabetes is a risk factor for cognitive impairment.20466 single isotope peaks were obtained by detection and analysis of the sample of metabonomics, and 701 polar substances and lipid material were identified by library data automatic matching. Including 453 lipids,248 polar substances. Using PLS and OPLS data analysis can see in OPLS score plot, normal control, MCI and AD have obvious trend of separation. It is suggested that these lipid metabolites may be an early marker for diagnosis of AD. Conclusions: 1.To construct the clinical and epidemiological database for AD and MCI successfully based on the J2EE technology framework and 10g Oracle 2. The database preliminary analysis, identify risk factors for cognitive dysfunction (65-85 years old residents in the rural area of Shandong Province:age, female, low education levels, smoking, drinking, hypertension, diabetes and hyperlipidemia, if patients are one or several of these factors should be alert to the development becomeMCI or AD risk.3 the use of this database can be used for the MCI and AD of the elderly population in rural areas of Shandong province and even the whole country.4. Some possible biomakers of MCI and AD were screened out in the body fluid in this study. |
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