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J Korean Neurol Assoc. 2012;30(4):274-278.
- The Association Between the 10-Year Risk of the Korean Stroke Risk
Prediction Model and the Carotid Intima-Media Thickness
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Bo-Woo Jeong
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Department of Neurology, CHA Gumi Medical Center, CHA University, Gumi, Korean
Department of Occupational and Environmental Medicine
a
, CHA Gumi Medical Center, CHA University, Gumi, Korean
- 한국인 뇌졸중 예측모형에 의한 뇌졸중 10년 발생
위험도와 경동맥 내중막 두께의 관련성
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정보우, 손효경
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양진훈
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이화평
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이채용
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차의과학대학교 부속 구미차병원 신경과, 직업환경의학과
a
- Abstract
- Background
Both carotid intima-media thickness (IMT) and global risk score of cardiovascular disease were
independent risk factors of stroke and heart disease. We assessed the correlation between the 10-year risk of Korean
Stroke Risk Prediction model (KSRP) and carotid intima-media thickness. Additionally, from a perspective of carotid
IMT measurement following KSRP risk stratification, we analyzed the difference of carotid IMT and plaque according to
the KSRP risk strata.
Methods
Subjects were 282 persons who visited one hospital for the screening of stroke. The 10-year risk was calculated
automatically based on the equation of KSRP model. The maximal carotid IMT and the plaque were adopted as the study
variables. The sensitivity and the positive predictive value of the KSRP risk categories were calculated.
Results
The correlation coefficient between the KSRP risk and the maximal carotid IMT was 0.29 (p＜0.01). The mean
(±standard deviation) of KSRP risk of the group with carotid plaque was statistically significantly higher, 5.3 (±4.1), than
that of the group without plaque, 3.3 (±3.1) (p≤0.01). The sensitivity of the risk stratum with more than 6% of KSRP risk
for the plaque was 28.2%. The positive predictive value of the above cut-point was 48.8%.
Conclusions
The 6% of KSRP risk may be considered as the beginning point of intermediate risk stratum to recommend
the carotid ultrasonography. However, generalization needs further studies for various populations. Key Words: Carotid ultrasonography, Intima-media thickness, Korean stroke risk prediction model, Stroke
Keywords :
- 초록
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