Association of cardiovascular risk factors on myocardial perfusion and fibrosis in asymptomatic individuals: cardiac magnetic resonance study
- Authors
- Cha, Min Jae; Kim, Sung Mok; Kim, Hyun Su; Kim, Yiseul; Choe, Yeon Hyeon
- Issue Date
- Nov-2018
- Publisher
- SAGE PUBLICATIONS LTD
- Keywords
- Cardiac magnetic resonance; myocardial perfusion reserve index; extracellular volume fraction; cardiovascular risk factor; asymptomatic
- Citation
- ACTA RADIOLOGICA, v.59, no.11, pp 1300 - 1308
- Pages
- 9
- Journal Title
- ACTA RADIOLOGICA
- Volume
- 59
- Number
- 11
- Start Page
- 1300
- End Page
- 1308
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/45175
- DOI
- 10.1177/0284185118757274
- ISSN
- 0284-1851
1600-0455
- Abstract
- Background: Myocardial perfusion reserve index (MPRI) and extracellular volume fraction (ECV) on cardiac magnetic resonance (CMR) are known to quantify coronary microvascular dysfunction and myocardial fibrosis, respectively. Purpose: To demonstrate that cardiovascular risk factors such as hypertension, diabetes, hyperlipidemia, and smoking are correlated with MPRI and ECV on CMR in asymptomatic individuals. Material and Methods: Between October 2013 and July 2014, 196 individuals underwent CMR. After excluding those with chest pain, arrhythmia, and obstructive coronary artery disease, participants were divided into five groups: those without risk factor (n = 26) and those with one (n = 43), two (n = 35), three (n = 24), or four (n = 6) risk factors. MPRI and ECV were obtained on perfusion CMR and pre- and post-T1 mapping, respectively. Results: A total of 134 asymptomatic individuals (109 men, 25 women; mean age = 54.4 +/- 7.08 years; body mass index [BMI] = 24.96 +/- 2.76 kg/m(2); Framingham risk score [FRS] = 7.71 +/- 5.21) were included. The Jonckheere-Terpstra test demonstrated trends of increasing BMI, FRS, and left ventricular mass index (all P values < 0.001), but decreasing MPRI (P = 0.001) with increasing numbers of risk factors. Stepwise multiple linear regression demonstrated that an increasing number of cardiovascular risk factors was an independent predictor of MPRI (P = 0.001). However, there was no significant association between the number of risk factors and ECV (P = 0.99). Conclusion: We demonstrated that an increasing number of cardiovascular risk factors is significantly associated with reduced MPRI, but not with ECV on CMR.
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