Wanbing Wang1, Jinhao Lyu1, Yanhua Li2, Xinghua Zhang1, Fei Yan1, Qi Duan1, and Xin Lou1
1Department of Radiology, Chinese PLA General Hospital, Beijing, China, 2Department of cardiology, Chinese PLA General Hospital, Beijing, China
Synopsis
Keywords: Blood Vessels, White Matter
Motivation: Cardiovascular disease (CVD) is closely related to cerebrovascular injury. However, even when the ejection fraction (EF) is normal, the cardiac microvascular system may still be abnormal.
Goal(s): Explore the relationship between CVD with preserved EF and cerebrovascular injury.
Approach: The heart and brain MRI of the participants were scanned with 3.0T MRI scanner. Different cardiac ejection parameters and high signal images of white matter were obtained.
Results: Patients with CVD, when EF is normal, are still associated with WMH and are still a risk factor for brain injury.
Impact: t is crucial to pay early attention to the early
indicators of cerebrovascular abnormalities in patients with heart failure, as
timely intervention is essential for reducing the risk of stroke.
Introduction
Increasing incidence and prevalence rates
of cerebrovascular diseases have been observed globally, maintaining a
consistently high level [1]. There
is a close association between cardiovascular diseases (CVD) and vascular brain
injuries[2]. Severe CVD was related to
subclinical brain injuries such as lacunar infarcts and white matter
hyperintensities(WHM)[3].
However, even in cases with normal ejection fraction (EF), abnormalities can
still occur in the cardiac microvasculature. Hence, exploring the relationship
between CVD with preserved EF and cerebrovascular diseases is crucial for a
deeper understanding of their manifestations on brain magnetic resonance
imaging (MRI). WMH considered markers of vascular brain injury clinically, are
increasingly observed on MRI scans and have become more prevalent[4].
Therefore, we collected preserved EF in CVD
patients to explore the relationship between this and WMH.Methods
Cardiac
and brain MRI were acquired using a 3.0 T scanner (Philips) with 16-channel body phased array coil
and 32-channel head coil. The cardiac protocol included short-axis
multislice cine steady-state free precision (TR 3.2 ms; TE 1.61; flip angle 45°; breath-hold; number
of slices dependent on size of LV (range 10–12 slices), resolution 1.8 × 1.79 ×
8.0 mm3). The brain MRI protocol included fluid-attenuated inversion
recovery (FLAIR) images (TR 4800 ms; TE 310 ms; TSE factor 162, resolution 0.6
× 0.8 × 6 mm3).
The participants the following parameters were
derived from MRI by an experienced neurologist: the EF was using a semi-automatic
contour detection with manual correction: Left ventricular-end diastolic volume
(LV-EDV) and left ventricular end-systolic volume (LV-ESV). FLAIR sequences
were used for identifying WMH. The Fazekas score is a visual rating of WMH.
WMH
was based on the STandards for ReportIng Vascular changes on Euroimaging
(STRIVE)[5]. The severity of WMH is
rated by using the Fazekas score (the scale ranges from 0 to 3), which reflects
the overall burden of WML[5].WMH were classified as
deep and periventricular and assessed with a validated four-point visual rating
scale (0 = none; 1 = 1–10; 2 = 11–20; 3 = 21–40; and 4=>40) (Figure 1). We
calculated the total WMH score as the sum of the periventricular and deep WMH
scores.
The purpose of this study was to explore the
relationship between CVD with preserved EF and WMH. Participants were required
to meet the following conditions: (1) underwent cardiac and brain examinations, (2) had no MRI contraindications, and (3) had no previous stroke
or peripheral vascular disease. And the case group was diagnosed with CVD.
Continuous
variables are given as mean ± standard deviation (SD) and as percentages for
categorical variables. Student’s t-test were used for continuous variables.
Categorical data are given as numbers of patients (%) and were compared using
χ2 test or Fishers’ exact test.Results
A
total of 20 individuals were included in the full analysis. They did not suffer
from stroke or peripheral vascular diseases. For further analysis, patients
were stratified into two groups: EF-preserved CVD Group and Healthy Controls
(HC). Patients with CVD were without women and had similar vascular risk
factors with HC. Patients with CVD BMI was obviously higher than HC (Table 1).
In
patients with CVD, there is a significant correlation between the presence of
WMH and EF (P=0.003). Compared to HC, a higher proportion of individuals with
higher Fazekas scores were observed in the CVD group (Figure 2). In terms of
other cardiac parameters (Table 2), such as cardiac
output (CO), end-diastolic volume (EDV), and end-systolic volume (ESV), a
statistical difference was found for EDV (P=0.26Discussion and Conclusion
In
the presence of normal EF, there may still be cardiac microvascular
abnormalities, which can trigger an inflammatory response in the body,
stimulating endothelial cell inflammation and increasing oxidative stress,
leading to vascular dysfunction[6]. WMH, as markers of
vascular brain injury, are widely observed in patients with cardiovascular
disease and older individuals. This study found a correlation between the
severity of WMH and CVD Therefore, even with normal EF, CVD remains a risk
factor for WMH-related brain damage.Acknowledgements
This work was supported by the
National Natural Science Foundation of China (No.81825012, No. 82151309 to X.L.
and No. 82271952 to J.H.L)References
[1] CHEN W, LI Z, ZHAO Y, et al. Global and national burden of
atherosclerosis from 1990 to 2019: trend analysis based on the Global Burden of
Disease Study 2019 [J]. Chin Med J (Engl), 2023, 136(20): 2442-50.
[2] HAVAKUK O, KING K S, GRAZETTE L, et al. Heart
Failure-Induced Brain Injury [J]. J Am Coll Cardiol, 2017, 69(12): 1609-16.
[3] HILAL S, CHAI Y L, VAN VELUW S, et al. Association Between
Subclinical Cardiac Biomarkers and Clinically Manifest Cardiac Diseases With
Cortical Cerebral Microinfarcts [J]. JAMA Neurol, 2017, 74(4).
[4] HASSELL M E, NIJVELDT R, ROOS Y B, et al. Silent cerebral
infarcts associated with cardiac disease and procedures [J]. Nat Rev Cardiol,
2013, 10(12): 696-706.
[5] WANG X, LYU J, MENG Z, et al. Small vessel disease burden
predicts functional outcomes in patients with acute ischemic stroke using
machine learning [J]. CNS Neurosci Ther, 2023, 29(4): 1024-33.
[6] RUSSO C, JIN Z, HOMMA S, et al. Subclinical Left Ventricular
Dysfunction and Silent Cerebrovascular Disease [J]. Circulation, 2013, 128(10):
1105-11.