The use of real world data for evaluating the risk factors for vascular complications and progression in non-communicable diseases

2019 Fiscal Year Final Research Report

• Project/Area Number: 18K17897
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 59030:Physical education, and physical and health education-related
• Research Institution: Niigata University
• Principal Investigator: Fujihara Kazuya 新潟大学, 医歯学総合研究科, 特任准教授 (10779341)
• Project Period (FY): 2018-04-01 – 2020-03-31
• Keywords: 医療ビッグデータ / データサイエンス / リアルワールドデータ

Outline of Final Research Achievements

Although there are a number of diabetic cardiovascular disease clinical studies being conducted around the world, clinical studies face a large cost, enormous effort and cooperation of subjects. In order to resolve such issues it is essential to use new and alternative research sources such as big data. Big data has the following characteristics that can complement above issues: be available existing data set, no need a large cost, be available data accumulated over a long period, expecting to increase in events as time passed. We analyzed data using a nationwide claim-based database in Japan and clarified the risk factors for micro/macro vascular disease in real worlds data.

Free Research Field

データサイエンス

Academic Significance and Societal Importance of the Research Achievements

健診結果と診療報酬明細書の結果を突合した医療ビッグデータベースを作成し、糖尿病をはじめとした生活習慣病領域において、冠動脈疾患、細小血管合併症のリスクの評価を行った。具体的には、1.糖尿病と冠動脈疾患(CAD)の既往がその後のCADイベントに及ぼす影響の検討　2.糖尿病の有無別にみた血糖・血圧・脂質・喫煙の各管理目標達成(状況)がCADに及ぼす影響　3.糖尿病の治療状況と冠動脈疾患、重症視力障害発症の関連の検討　4. 糖尿病患者における脈圧が重症視力障害・透析発症に及ぼす影響の検討　を行い、論文報告を行った。