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研究生:呂岳謙
研究生(外文):LU, YUEH-CHIEN
論文名稱:頸動脈血液流速與心血管疾病風險之相關性
論文名稱(外文):The association between carotid artery velocity and the risk of cardiovascular diseases
指導教授:梁富文梁富文引用關係
指導教授(外文):LIANG, FU-WEN
口試委員:盧勝男莊弘毅
口試委員(外文):LU, SHENG-NANCHUANG, HUNG-YI
口試日期:2022-07-02
學位類別:碩士
校院名稱:高雄醫學大學
系所名稱:公共衛生學系碩士班
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2022
畢業學年度:110
語文別:英文
論文頁數:51
中文關鍵詞:心血管疾病頸動脈都普勒超音波
外文關鍵詞:Cardiovascular diseaseNon-invasive carotid ultrasonography
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1948年的Framingham Heart Study是系統性心血管疾病評估風險的濫觴。1998年起以年齡、性別、血壓值、總膽固醇與高密度膽固醇、是否罹患糖尿病及吸菸與否,預測未來10年罹患冠狀動脈心臟疾病的可能性,逐漸修改迄今;然而需抽血檢驗數據方能進行風險評估,仍影響該工具的使用普及。頸動脈都普勒超音波是近年用來評估頸動脈硬化的有利工具,過去已有許多研究利用頸動脈都普勒超音波評估腦血管疾病風險,但對於心血管疾病的相關性有待更多探索。本研究以頸動脈都普勒超音波獲得之血液流速數據,比較既有的量化性風險評估工具,以彰顯兩者之相關性。
The risk assessment for cardiovascular disease began in 1948 with the Framingham Heart Study. Before the study, we knew almost nothing about the epidemiology for arteriosclerotic or hypertensive cardiovascular disease. Gender, age, blood pressure, total or high-density lipoprotein cholesterol, suffered from diabetes mellitus or not, and current smoking status were used to predict the 10-year heart disease risk, and which have been gradually revised so far. However, blood test data are required for risk assessment which still affects the use of tools widespread. Non-invasive carotid ultrasonography is a useful tool for evaluating carotid vascular atherosclerosis in recent years. Many studies have used carotid ultrasonography to evaluate the risk of cerebrovascular disease, but the correlation between cardiovascular disease needs to be further studied. In this study, blood velocity data obtained from non-invasive carotid ultrasonography were compared with existing cardiovascular risk assessment tools to confirm the correlation between them.
Content
中文摘要 I
Abstract II
Chapter 1 Introduction 1
1.1 Research background information 1
1.1.1 Framingham Heart Study for coronary heart disease (10-year CHD risk) 2
1.1.2 Framingham Heart Study for cardiovascular disease (10-year CVD risk) 3
1.1.3 Atherosclerotic Cardiovascular Disease Risk Estimator 4
1.1.4 ASCVD Risk Estimator Plus 4
1.1.5 SCORE2 risk prediction algorithms 5
1.1.6 WHO/ISH CVD risk 5
1.1.7 Carotid Doppler ultrasonography 6
1.2 Research Purpose 9
Chapter 2 Material and Method 11
2.1 Participants 11
2.2 Definition of Variables 11
2.3 Carotid ultrasonography measurement 13
2.4 Data Analysis 14
Chapter 3 Research results 16
3.1 Univariate analysis 16
3.2 Ordinal logistic regression (OLR) analysis 26
Chapter 4 Discussion and conclusions 33
4.1 Conclusions 36
4.2 Limitations of the study 36
4.3 Suggestions for Future Research 37
Reference 38
Appendix A 45


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