Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Association of cardiovascular risk factors on myocardial perfusion and fibrosis in asymptomatic individuals: cardiac magnetic resonance study

Authors
Cha, Min JaeKim, Sung MokKim, Hyun SuKim, YiseulChoe, 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Medicine > College of Medicine > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE