메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
Objective: Coronary artery calcium (CAC) is associated with the presence of coronary atherosclerotic plaque and is a prognostic factor of cardiovascular events. CAC varies among ethnic groups in patients of the same age and gender. Studies on the prognostic value of CAC in a multi-ethnic Asian population have yet to be performed. We aim to study the association of CAC and ethnicity, all-cause mortality, and acute myocardial infarction (AMI). Materials and Methods: This is a retrospective study with a multi-ethnic cohort aged 35–84 years from a single tertiary institution between 2007–2017. The individuals were all clinically referred for cardiac CT calcium scanning. CAC was determined by Toshiba Aquilion One 320 Multi-detector Row CT (Toshiba Medical System). Results: This study had 65% males at an average age of 55 years. In our multivariable analysis of 16561 individuals, CAC is generally higher in the Malay than Chinese ethnic group [odds ratio (OR)=1.30, 95% confidence interval (CI)=1.10–1.55] and did not differ among Indians and Chinese (p=0.400). Increasing CAC was associated with higher all-cause mortality (OR=1.27, 95% CI=1.17–1.36) and AMI (OR=1.50, 95% CI=1.35–1.66) after adjusting for known cardiovascular risk factors. Incorporation of CAC into a model with known cardiovascular risk variables enhanced prediction of all-cause mortality [area under the curve (AUC)=0.78] and AMI (AUC=0.85). Conclusion: This study is the largest performed in a multi-ethnic Asian cohort. Malay ethnicity seems to confer a higher likelihood of coronary calcification compared to the Chinese and Indians. CAC was associated with higher all-cause mortality and AMI and complemented traditional cardiovascular risk factors in risk prediction, confirming its applicability in a multi-ethnic Asian population.

목차

등록된 정보가 없습니다.

참고문헌 (31)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0