심혈관 질환 예측지수를 이용한 동맥경화성 이상지질혈증 연구

• 영문명: Study on Atherosclerotic Dyslipidemia Using Cardiovascular Risk Prediction Index
• 발행기관: 대한방사선과학회(구 대한방사선기술학회)
• 저자명: 안현(Hyun An)
• 간행물 정보: 『방사선기술과학』제47권 제5호, 325~331쪽, 전체 7쪽
• 주제분류: 의약학 > 방사선과학
• 파일형태: PDF
• 발행일자: 2024.09.30

국문 초록

This study aimed to provide primary assistance in the clinical diagnosis of atherogenic dyslipidemia by using cardiovascular risk indices based on lipid profiles. The study involved 3,536 participants (1,959 males and 1,577 females) who underwent health check-ups at P Hospital in Busan. Methods included using lipid profiles to evaluate cardiovascular risk indices such as Castelli's Risk Index I and II (CRI-I, CRI-II), Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), Non-HDL cholesterol (NHC), and Triglyceride and Glucose Index (TyG). Statistical analyses, including difference analysis, correlation analysis, and ROC analysis, were conducted using the SPSS software. Results indicated significant differences in various factors, including age, gender, triglycerides, total cholesterol, LDL-C, HDL-C, fasting plasma glucose, and cardiovascular risk indices, depending on the presence of dyslipidemia. There were significant correlations between cardiovascular risk indices and dyslipidemia, with CRI-I, CRI-II, and AC showing the highest correlations. ROC analysis determined optimal cut-off values for identifying atherogenic dyslipidemia as follows: CRI-I >3.83, CRI-II >2.43, AIP >0.49, AC >2.83, NHC >162, and TyG >9.02. Cardiovascular risk indices were significantly higher in the dyslipidemia group, demonstrating their usefulness in assessing cardiovascular disease risk. Particularly, CRI-I, CRI-II, and AC indices were considered valuable predictors for diagnosing atherogenic dyslipidemia.

목차

Ⅰ. 서 론

Ⅱ. 대상 및 방법

Ⅲ. 결 과

Ⅳ. 고 찰

Ⅴ. 결 론

REFERENCES

키워드

이상지질혈증 심혈관 질환 예측지수 동맥경화 ROC 분석 지질 프로필 Dyslipidemia Cardiovascular Risk Index Atherosclerosis ROC analysis Lipid Profile