Abstract
Background
Left ventricular (LV) dysfunction, mediated by ventricular interdependence, has been associated with negative outcomes in children with pulmonary arterial hypertension (PAH). Considering the dilation of the pulmonary arteries as a paramount sign of PAH, we hypothesized that the ascending aorta will present signs of apparent stiffness in children with PAH, and that this effect may be due to mechanical interaction with the dilated main pulmonary artery (MPA).
Methods and Results
42 children with PAH and 26 age- and size-matched controls underwent comprehensive CMR evaluation. Assessment of aortic stiffness was evaluated by measuring pulse wave velocity (PWV), aortic strain, and distensibility. Children with PAH had significantly increased PWV in the ascending aorta (3.4 vs. 2.3 m/s for PAH and controls, respectively; p = 0.001), and reduced aortic strain (23 vs. 29%, p < 0.0001) and distensibility (0.47 vs. 0.64 %/mmHg, p = 0.02). Indexed MPA diameter correlated with PWV (p = 0.04) and with aortic strain (p = 0.02). The ratio of MPA to aortic size correlated with PWV (p = 0.0098), strain (p = 0.0099), and distensibility (p = 0.015). Furthermore, aortic relative area change was associated with LV ejection fraction (p = 0.045) and ventricular-vascular coupling ratio (p = 0.042).
Conclusions
Pediatric PAH patients have increased apparent ascending aortic stiffness, which was strongly associated with the degree of MPA distension. We speculate that distension of the MPA may play a major role in limiting full aortic expansion during systole, which modulates LV performance and impacts systemic hemodynamics in pediatric PAH.
Keywords: pediatric pulmonary hypertension, aortic stiffness, interdependency
Pediatric pulmonary arterial hypertension (PAH) is a disease associated with high morbidity and mortality1–3. Right ventricular (RV) dysfunction serves as an important predictor of PAH severity and outcome in both pediatric and adult populations4,5. However, studies of ventricular interdependence have shown that PAH is further complicated by evidence of left ventricular (LV) dysfunction, which may be predictive of poor outcomes in adult PAH populations6. Similar findings of critical RV-LV interdependence have been recently recognized in children with PAH7,8, further suggesting that altered LV performance can accompany progressive changes in RV function in pediatric PAH as well. However, mechanisms that influence LV performance, such as impaired preload, LV diastolic dysfunction and other factors, remain incompletely understood.
Previous work has suggested that increased LV afterload due to changes in aortic compliance may impact cardiac function in adults with chronic heart failure9. Whether pulmonary artery dilation could mechanically alter apparent aortic stiffness in patients with PAH is not known. MPA-aorta interactions may play an even more striking role in the pathophysiology of childhood PAH due in part to the compact mediastinal anatomy in children especially in the setting of RV dilation and dilated pulmonary arteries2,10. However, no prior studies have investigated the impact of PAH-induced MPA dilatation on the proximal aorta, which make close and tight contact with each other within the pericardium. Mechanically-induced apparent aortic stiffness due to these vascular interactions could potentially increase LV afterload, further compromising LV function in children with PAH.
Consequently, in this study we sought to determine whether aortic stiffness is increased in children with PAH, and whether changes in indices of aortic stiffness are directly associated with the geometry of the MPA and with LV functional performance. These studies were performed with non-invasive magnetic resonance imaging (MRI) techniques that enable assessment of vascular stiffness, including indices based on measurements of pulse wave velocity (PWV), vascular strain, and distensibility. We hypothesized that 1) the ascending aorta of PAH patients will show signs of vascular stiffness, and 2) that increased aortic stiffness will be reflective of pulmonary arterial dimensions and LV performance. Greater understanding of the overall PAH pathophysiology in pediatric patients may assist in development of more comprehensive clinical assessments, including disease severity, changes in function over time, and guidance of specific therapies for this population.
Methods
This study was performed with the approval of the Colorado Multi-Institutional Review Board, and all subjects provided written informed consent. We retrospectively identified consecutive PAH patients seen by the Pulmonary Hypertension Clinic at Children’s Hospital Colorado from December 2007 to June 2016, who had comprehensive cardiac magnetic resonance (CMR) performed, which included the use of short- axis stack cine of the ventricles, cine phase-contrast imaging of the ascending aorta, and the main pulmonary artery (MPA). The initial diagnosis of PAH was established after evaluation by our Pulmonary Hypertension Program, which included echocardiograms and a prior cardiac catheterization, according to accepted guidelines1. The CMR datasets were selectively chosen to be chronologically closest to either an initial or follow-up cardiac catheterization. The ventricular distress molecules, brain natriuretic peptide (BNP) and N-terminal pro BNP (NT-proBNP), were collected at the time of catheterization as indicated by clinical care. We excluded subjects with pulmonary valve or pulmonary arterial stenosis, or who had previous surgical intervention on the pulmonary vasculature in order to focus the study on subjects with native proximal pulmonary vascular conduit anatomy. All control subjects were prospectively recruited through campus advertisement and were included if they did not have any known underlying cardiac, pulmonary, or systemic disease.
CMR protocol
The acquisition protocol was performed as previously described 11. A gradient echo ECG gated sequence was applied to obtain tissue intensity and phase velocity maps using a 1.5 or 3.0 Tesla magnet (Magnetom Avanto, Siemens Medical Solutions, Erlangen, Germany; Ingenia, Philips Medical Systems, Best, The Netherlands). Aortic flow hemodynamic data were acquired using cine PC-MRI. A single slice covering the ascending aortic plane was chosen to be one centimeter above the sinotubular junction to secure sufficient distance from the aortic root (Figure 1). The acquisition plane for the descending aorta was then approximately three to five centimeters below the aortic isthmus depending on patient size and age. A typical sequence for free breathing PC-MRI with Cartesian encoding and retrospective sorting had a temporal resolution of 14–28 ms with 15 to 58 phases, echo times of 2.2–3.5 ms, matrix: 160 × 256, flip angle of 25° with 100% of the k-space sampled. Depending on patient size and field of view (128-225 × 210-360 mm), the cross-sectional pixel resolution was 0.82 × 0.82–1.56 ×1.56 mm2 with a slice thickness of 5 mm. Resulting acquisition time varied upon heart rate between 1 min 45 s to 3 min. Velocity encoding values were adjusted according to the maximum velocities encountered during scout sequences to avoid aliasing artifact (typical values ranged from 100 to 200 cm/s).
Standard short-axis images were obtained with coverage of the ventricles from base to apex. Post-processing analysis of the CMR images was performed using QMass (Medis Medical Imaging Systems; Raleigh, NC, USA) in which volumetric data were manually traced and calculated at end-diastole and end-systole. Volumetric metrics and ejection fraction were indexed by body surface area (BSA) values. To include a comprehensive overview of the cardiac and vascular conditions on the systemic side, we also assessed the simplified version of the LV ventricular-vascular coupling ratio based on CMR-derived volumes, estimated by the ratio of LV end-systolic volume and stroke volume (SV)12.
Vascular Stiffness and Hemodynamic Parameters
To control for age-related differences in pediatric weight and height, aortic and MPA geometric dimensions for the ascending aorta and MPA were normalized by BSA for intergroup variation and further generalized linear model regression analysis. Vessel strain was measured by means of relative area change (RAC) defined as the difference between maximum and minimum areas divided by maximum value: (Amax-Amin)/Amax × 100%. Distensibility for both aortic segments was then computed as the ratio of RAC and pulse pressure. Additionally, in order to evaluate systemic vascular properties, we computed aortic capacitance assessed by ratio of LV SV and pulse pressure. Blood pressure values were obtained prior to CMR evaluation using pressure oscillometric technique (Invivo, Model 1400 MRI) either in clinic the day prior or in the MRI suite immediately prior to the study commencement. Flow metrics and patient specific temporal data required for PWV computation were analyzed from time-frame segmented respective magnitude and phase-contrast images for both aortic segments, as previously described (Matlab Program; Mathworks, Inc., Natick, MA, USA)13,14. Specifically, each temporal phase was segmented using semi-automatic level-set method (Segment, Medviso), where constructed algorithm applies active contour model which tracks the edges of the vessel wall initialized by a manual delineation in one time-frame. The following parameters were sampled from patient specific flow waves: maximum flow (Qmax), maximum velocity (Vmax), maximum wall shear stress (WSSmax), and oscillatory shear index (OSI), all computed and analyzed as described previously13,15.
PWV was measured as a determinant of aortic stiffness. We employed the dQ/dA method, previously recognized as a sensitive PWV measure by incorporating temporal variation in flow and luminal area data sets 16. The PWV was computed as a function of the variation ratio of through-plane aortic flow and cross-sectional aortic area i.e. the slope of the flow–area relation during early systole. The PWV was then calculated from the flow-area plots by using a linear regressional model to create a line fitted to the flow-area curve at early systole as described previously (See Figure 2). This technique describes segment specific evaluation of aortic stiffness, rather than global aortic stiffness. Furthermore, this method overcomes potential spatiotemporal limitations typically associated with standard travel time of flow PWV calculation, which are of high risk in a pediatric population 17,18.
Statistical analysis
Analyses were performed in SAS (version 9.4 or higher; SAS Institute, Cary, NC). Variables were checked for the distributional assumption of normality using normal plots, in addition to Kolmogorov-Smirnov and Shapiro Wilks tests. Variables that were positively skewed (e.g. PWV, RAC, and BNP) were natural log-transformed for the analyses. Demographic and clinical characteristics among children with and without PAH were compared using student t-test for normally distributed continuous variables, and χ2 for categorical variables. Additional group comparisons were performed using Kruskal-Wallis test between the PAH specific WHO functional classes. Generalized linear regression models were used to examine association between aortic stiffness (PWV, RAC, and distensibility) and MPA geometric parameters and risk factors associated with pediatric PAH (LV ejection fraction and ventricular-vascular coupling ratio, mPAP, PVRi, NT-proBNP, BNP) adjusted for age and sex. Significance was based on an α-level of 0.05.
Results
Demographic and basic hemodynamic measurements are summarized in Table 1. We identified 42 PAH patients and recruited 26 controls with equivalent age and gender distributions. PAH children patients presented significantly decreased BMI percentile and BSA when compared to controls. The average time between the right heart catheterization and CMR acquisition was 302 days (range: 0–401 days). The average mean pulmonary artery pressure (mPAP) and pulmonary vascular resistance index (PVRI) from the chronologically closest catheterization were 44 ± 14 mmHg and 9 ± 7 Wood units × m2, respectively. There were 18 subjects with idiopathic PAH (IPAH), 22 children with PAH associated with congenital heart disease (CHD-PAH), and two patients with PAH associated with bronchopulmonary dysplasia. CHD-PAH pathogeneses included atrial septal defects (13; 30.9%), ventricular septal defects (5; 11.9%), and patent ductus arteriosus (5; 11.9%, two post ligation repair). Furthermore, five PAH patients had a shunt present at the time of CMR evaluation (2 with left-to-right shunting). Five PAH patients and two controls were excluded from the vascular analysis because of the close proximity of the acquisition plane to aortic root, disabling vessel wall segmentation.
Table 1.
PAH (n =42) | Control (n = 26) | p-value | |
---|---|---|---|
Age (yrs) | 14.6 ± 4.6 | 15.1 ± 3.2 | 0.6110 |
sex – female (%) | 23 (54.7) | 13 (50.0) | 0.7956 |
BMI | 19.6 ± 5.2 | 21.4 ± 3.1 | 0.0934 |
BMI percentile | 42.3 ± 30.9 | 60.8 ± 22.7 | 0.0082 |
BSA, (m2) | 1.40 ± 0.38 | 1.58 ± 0.27 | 0.0313 |
IPAH, No(%) | 18 (42.8) | ||
CHD-PAH | 22 (42.3) | ||
ASD | 13 (30.9) | ||
VSD | 5 (11.9) | ||
PDA | 5 (11.9) | ||
BPD | 2 (4.7) | ||
Systolic BP (mmHg) | 106 ± 12 | 112 ± 9 | 0.1338 |
Diastolic BP (mmHg) | 61 ± 7 | 64 ± 6 | 0.1683 |
Pulse pressure (mmHg) | 45 ± 11 | 46 ± 10 | 0.8161 |
Shunt present at CMR evaluation | 5 (11.9) | ||
World Health Organization Functional Classification | |||
WHO-FC I | 7 (16.6) | ||
WHO-FC II | 17 (40.4) | ||
WHO-FC III | 12 (28.5) | ||
WHO-FC IV | 6 (14.2) | ||
Cardiac Catheterization | |||
mPAP (mmHg) | 44 ± 17 | ||
PVRi (WU/m2) | 9 ± 7 | ||
PAWP (mmHg) | 9 ± 2 | ||
NT-proBNP (pg/mL) | 156 (73 - 445) | ||
BNP (pg/mL) | 42 (15 - 106) | ||
CMR Hemodynamics | |||
LV end-diastolic volume (mL/m2)* | 93 ± 34 | 89 ± 18 | 0.8567 |
LV end-systolic (mL/m2)* | 41 ± 17 | 39 ± 15 | 0.6614 |
LV stroke volume (mL/m2)* | 48 ± 16 | 51 ± 9 | 0.3623 |
LV ejection fraction (%) | 53 ± 10 | 58 ± 4 | 0.0231 |
LV VVCR – ESV/SV | 0.99 ± 0.63 | 0.75 ± 0.17 | 0.0986 |
Cardiac index (L/min/m2)* | 3.9 ± 0.9 | 3.8 ± 0.9 | 0.7198 |
Heart rate (bpm) | 79 ± 16 | 72 ± 15 | 0.1254 |
RV end-diastolic volume (mL/m2)* | 138 ± 73 | 92 ± 14 | 0.0005 |
RV end-systolic volume (mL/m2)* | 84 ± 73 | 41 ± 9 | 0.0008 |
RV stroke volume (mL)* | 53 ± 14 | 51 ± 10 | 0.5928 |
RV ejection fraction (%) | 44 ± 14 | 58 ± 11 | 0.0012 |
MPA diameter (cm/m2)* | 2.48 (2.09 - 2.93) | 1.61 (1.54 - 1.79) | < 0.0001 |
Aortic diameter (cm/m2)* | 1.63 (1.44 - 1.94) | 1.60 (1.49 - 1.83) | 0.9792 |
MPA/Aorta size ratio | 1.42 (1.23 - 1.67) | 1.07 (0.99 - 1.09) | < 0.0001 |
Data are expressed as averages ± SD or medians with inter-quantile range.
metrics are normalized by BSA, IPAH = idiopathic pulmonary arterial hypertension
CHD-PAH = pulmonary arterial hypertension associated with congenital heart disease
BPD = bronchopulmonary dysplasia, VVCR = ventricular-vascular coupling ratio, ASD = atrial septal defect
VSD = ventricular septal defect, PDA = patent ductus arteries
As anticipated, children with PAH had significantly increased RV end-diastolic (138 vs. 92 mL/m2, p = 0.0005) and end-systolic volumes (84 vs. 41 mL/m2, p = 0.0008) along with reduced RV ejection fraction (44 vs. 58 %, p = 0.0012). While no significant variation existed between considered groups between LV volumetric indices (end-diastolic, end-systolic, and stroke volume), children with PAH presented significantly decreased LV ejection fraction (53 vs. 58 %, p = 0.0231). Systemic pressure metrics did not reveal any significant variability between PAH and control groups. Data from the PAH group showed significantly increased indexed MPA diameter (2.68 vs. 1.6 cm/m2, p < 0.0001) and increased MPA/Aortic diameter ratio measured at systole (1.42 vs. 1.07, p < 0.0001).
PC-MRI derived flow data for both aortic segments are summarized in Table 2. All vascular stiffness measures were significantly different between PAH and control groups in the ascending aorta. PWV (cm/s) was significantly increased in PAH children (3.4 vs. 2.3, p = 0.0014), indicative of increased ascending aortic stiffness in this disease group. Both geometric related metrics in the ascending aorta--RAC (%) and Distensibility (%/mmHg)--were significantly decreased in the PAH group (23 vs. 29, p < 0.0001; and 0.47 vs. 0.64, p = 0.0242 respectively). Interestingly, these reductions in strain metrics occurred in parallel with decreased maximum aortic area in PAH patients (4.5 vs. 5.3 cm2, p = 0.0282), while the minimal aortic area was similar between both considered groups. The aortic capacitance (SV/pulse pressure; mL/mmHg) was similar among considered groups (1.51 vs. 1.81, p = 0.2705). Both shear hemodynamic metrics WSSmax and OSI failed to reveal any significant variability as well as the shear theoretical determinants Vmax and Qmax. No changes in considered stiffness metrics were observed in the descending aorta.
Table 2.
Ascending Aorta | Descending Aorta | |||
---|---|---|---|---|
PAH | Control | PAH | Control | |
PWV (m/s) | 3.4 (3.1 - 4.0)* | 2.3 (1.8 - 3.4) | 3.3 (2.8 - 3.9) | 3.1 (2.6 - 3.6) |
Qmax (L/min) | 18.0 ± 6.7 | 21.0 ± 5.2 | 10.4 ± 4.6 | 12.1 ± 2.8 |
Vmax (cm/s) | 113 ± 27 | 117 ± 22 | 107 ± 25 | 102 ± 45 |
Amax (cm2) | 4.5 ± 1.7* | 5.3 ± 1.0 | 2.8 ± 0.9 | 3.0 ± 0.7 |
Amin (cm2) | 3.5 ± 1.4 | 3.7 ± 0.7 | 1.9 ± 0.7 | 2.2 ± 0.5 |
RAC (%) | 23 (16-25) ** | 29 (26 - 31) | 23 (21-27) | 25 (21 - 29) |
Distensibility (%/mmHg) | 0.47 ± 0.26* | 0.64 ± 0.21 | 0.56 ± 0.28 | 0.62 ± 0.26 |
Capacitance (mL/mmHg) | 1.51 ± 0.27 | 1.81 ± 0.73 | --- | --- |
WSSmax (dyne/cm2) | 9.5 ± 3.6 | 8.5 ± 2.4 | 10.7 ± 2.9 | 10.5 ± 2.4 |
OSI | 0.04 ± 0.04 | 0.03 ± 0.03 | 0.03 ± 0.04 * | 0.01 ± 0.00 |
Data are expressed as averages ± SD or medians with inter-quantile range.
Significant associations (P < 0.05) are in bold.
P <0.001
PWV = pulse wave velocity, WSSmax = systolic wall shear stress, OSI = Oscillatory Shear Index
RAC = relative area change, Vmax = maximum velocity,
In order to exclude the potential mechanical changes associated with surgical intervention and pericardial manipulation, we excluded those with thoracic surgical history (n=6) from aortic stiffness comparative analysis and observed in the resulting subset minimal parametric changes in all considered stiffness metrics (PWV: 3.6 vs. 2.3, p = 0.0091; RAC: 20.6 vs. 29.2, p < 0.0001; Distensibility: 0.49 vs. 0.64, p = 0.0381, Capacitance: 1.56 vs. 1.81, p = 0.2816). Again in the subset, both shear hemodynamic metrics WSSmax and OSI measured in the ascending aorta failed to reveal any significant variability as well as the shear theoretical determinants Vmax and Qmax. All considered stiffness and flow hemodynamic metrics measured in the descending aorta did not reveal any significant difference between control and the PAH subgroup with exception of OSI, which was significantly increased in PAH children (0.03 vs. 0.01, p = 0.0010).
In order to investigate the potential relationship between the disease severity and aortic stiffness, we looked for variability among the PAH groups by World Health Organization Functional Class (WHO-FC) with respect to aortic strain. While patients with worse WHO-FC tended towards reduced aortic strain, no intergroup significant difference existed between WHO-FC groups (p = 0.171) as shown in Figure 3.
Furthermore, no differences were found in stiffness and hemodynamic metrics between IPAH and CHD-PAH groups. We performed subgroup analysis of ascending aortic stiffness measures to assess the potential variability between IPAH and CHD-PAH groups. Although there was no difference in stiffness metrics between the two PAH groups, both groups had decreased RAC and increased PWV when compared to controls (Figure 4). Distensibility and capacitance were not different between groups. Normalized MPA diameter values were increased for both CHD-PAH and IPAH when compared to controls but were not different between the PAH groups (Figure 5). Similarly, MPA to ascending aortic size ratios were significantly increased for both CHD-PAH and IPAH in comparison with controls but were not different between PAH cohorts.
A summary of generalized linear regression models between vascular stiffness metrics and standard geometric metrics and PAH risk factors are depicted in Table 3 (reported as beta ± standard error). All reported models were adjusted for sex and age. Significant positive association existed between ln PWV and indexed MPA diameter (0.416 ± 0.196, p = 0.0400), and between ln PWV and MPA/aortic size ratio (0.611 ± 0.226, p = 0.0098). Concurrently, ln RAC correlated negatively with MPA diameter (−0.344 ± 0.248, p = 0.0285) and MPA/Aortic ratio (−0.468 ± 0.174, p = 0.0099). Additionally, ln RAC correlated positively with LV ejection fraction (0.009 ± 0.004, p = 0.0456) and negatively with LV ventricular-vascular coupling ratio (−0.159 ± 0.076, p = 0.0424). Lastly, aortic distensibility correlated in negative fashion with MPA/Aortic size ratio (−0.006 ± 0.002, p = 0.0150).
Table 3.
ln PWV (m/s) | ln RAC (%) | Distensibility (%/mmHg) | |
---|---|---|---|
MPA Diameter | 0.416 ± 0.196 (0.0400) | −0.344 ± 0.248 (0.0285) | −0.205 ± 0.121 (0.0989) |
MPA/Aorta ratio | 0.611 ± 0.226 (0.0098) | −0.468 ± 0.174 (0.0099) | −0.006 ± 0.002 (0.0150) |
LVEF | 0.004 ± 0.009 (0.6870) | 0.009 ± 0.004 (0.0456) | 0.005 ± 0.002 (0.1643) |
LV VVCR (ESV/SV) | 0.048 ± 0.112 (0.6652) | −0.159 ± 0.076 (0.0424) | −0.077 ± 0.049 (0.1240) |
mPAP | −0.005 ± 0.003 (0.2138) | −0.010 ± 0.005 (0.0848) | 0.001 ± 0.002 (0.9471) |
PVRI | 0.005 ± 0.004 (0.2139) | −0.011 ± 0.015 (0.4491) | 0.010 ± 0.006 (0.1408) |
NT-proBNP | −0.002 ± 0.048 (0.9623) | −0.121 ± 0.068 (0.0856) | −0.107 ± 0.086 (0.2225) |
BNP | −0.020 ± 0.073 (0.7821) | −0.182 ± 0.097 (0.0686) | −0.171 ± 0.122 (0.1702) |
Data are beta coefficients ± SEM (p-values). Significant (p < 0.05) associations are in bold.
All considered models were adjusted for age and sex.
Conventional PAH risk factor variables (mPAP, PVRi, NT-proBNP, and BNP) failed to reveal any significant correlations with indices of aortic stiffness (PWV, RAC, distensibility). However, significant positive correlations existed between the MPA/Aortic size ratio and catheterization derived mPAP (0.008 ± 0.002, p = 0.0014) and PVRI (0.025 ± 0.007, p = 0.0019) (Supplemental Figure). To investigate the relationship between MPA size and LV systolic function, we correlated MPA/Aortic size ratio directly with LVEF and LV ventricular-vascular coupling ratio (Figure 6). We found a significant negative linear relationship between MPA/Aortic ratios and LVEF (−8.830 ± 3.012, p = 0.0005) and positive associations with LV ventricular-vascular coupling (0.323 ± 0.131, p = 0.0169).
DISCUSSION
In this study, we have shown that children with PAH have increased apparent aortic stiffness, which was strongly associated with increased MPA size. To our knowledge, this is a first report of reduced functional systemic vascular performance in any PAH population combining evidence from three well-accepted indices of stiffness. Furthermore, we found that decreased aortic strain measured by means of RAC is significantly associated with lower LV ejection fraction and higher ventricular-vascular coupling ratio. Therefore, increased apparent aortic stiffness, which contributes to systemic afterload, is associated with negative functional consequences in an already compromised LV. Due to the inherent nature of the PAH pathophysiology, past studies in pediatric PAH have focused solely on metrics of RV function and pulmonary vascular stiffness, either in separate or combined fashion11,15,19,20. More recently, the increasingly recognized concept of ventricular interdependency has been shown to have important mechanical effects on the LV performance in both adult and pediatric PAH populations6,8,21. While the mean LV ejection fraction of our PAH cohort was close to the lower limit of normal, the statistically significant difference point to a compromised LV systolic function as observed in previous multi-center pediatric study22. Importantly, in adult and pediatric PAH populations, compromised LV function due to ventricular interdepency was shown to have a clinically prognostic potential6,7. This newly observed effect of potentially existing vascular interdepency might then play important role in overall cardiovascular performance in children with PAH.
Presence of vascular interdependency
Whereas MPA stiffness has been successfully associated with metrics of RV function and hemodynamics, such as flow and shear stress, the reduced aortic distensibility appears to be driven primarily by regional physical effects. Our results indicate that increased MPA size, absolute and indexed to aortic diameter, is associated with increased regional changes in apparent aortic stiffness. All considered stiffness metrics take into account extrinsic geometric vascular properties and, in particular, depressed maximum aortic size seems to be responsible for the majority of altered variables within the PAH group. We speculate that PAH-related MPA dilatation mechanically impairs the ability of regions of the ascending aorta to fully expand during systole. Further evidence supporting this potential mechanism can be seen from the aortic wall deformation analysis generated from a vascular segmentation process, as shown in Figure 7. From the representative PAH case, it appears that ascending aorta has more room for expansion in the directions towards the vena cava and right atrium, whereas the range of motion tends to be limited where the aorta is in contact with the MPA. Conversely, the depicted control case shows uniform circumferential expansion. However, standardized comprehensive wall deformation analysis across larger data sets would be required to fully understand potential mechanical suppressing effects arising from the distended MPA.
The argument of locally driven vascular interdependency is also supported by the fact that the stiffness metrics analyzed in the descending aorta failed to show any variability between PAH and control groups. Furthermore, PAH subpopulations considered in this study, CHD-PAH and IPAH, failed to present major variability in the apparent stiffness metrics, yet have major variability differences from control group. Per our results, severity of MPA dilation appears to be uniform among the PAH subgroups (IPAH and CHD-PAH), with similar impact on ascending aortic expansion and overall apparent stiffness. Thus, aortic stiffening does not appear to be a global phenomenon, which might be expected if it were due to other causes such as pressure overload or systemic inflammation. The descending aorta is in close proximity to the pulmonary vasculature only at the region of the subclavian ligament bypassing the left pulmonary artery. Since our acquisition plane for descending aortic analysis was positioned further distally, we speculate that this particular aortic segment was free from constriction that is potentially caused by the pulmonary vasculature, and therefore did not reveal any signs of aortic stiffness.
Additional mechanisms might play role in the increased aortic stiffness in PAH. Pulmonary vascular remodeling, including changes in the large proximal vessels, has been associated with the PAH pathobiology, that may be related to increased inflammation due to increased hemodynamic stress 2,23,24. While PAH-associated inflammatory processes have been previously associated with pulmonary vascular remodeling, changes in tissue remodeling in the aorta has not been examined. Finally, aortic shear hemodynamic metrics, commonly associated with flow-mediated endothelial mechanotransduction remodeling were not altered between the PAH and control groups25,26. However, future longitudinal studies involving thorough analysis of known potential inflammatory vascular remodeling mediators may further explore the potential for tissue remodeling within the aorta in the setting of progressive PAH.
Aortic strain and LV performance relationship
While all stiffness metrics showed significant differences between PAH and control groups, only RAC correlated with LV ejection fraction and LV specific ventricular-vascular coupling ratio. The RAC, unlike PWV, distensibility, and capacitance, is a pure geometric parameter that solely assesses two-dimensional (area) strain. As a result, RAC can be more reflective of anatomically constraining structures that may reduce vessel expansion to maximum area27. On the other hand, PWV, distensibility, and capacitance take into account flow, pressure, and volume changes, respectively, and are then less geometry dependent and can reflect more on true vessel mechanical constitutive changes28,29. Indeed, RAC showed the most significant differences from all considered stiffness metrics in parallel with reduced maximum area in the PAH group. Conversely, peak flow (Qmax), pressure, and volume metrics determining PWV and distensibility, respectively, were not different between control and PAH groups. Additionally, aortic distensibility and capacitance considered to be reflective of global aortic stiffness, failed to show any significant intergroup variability, suggesting that reduced apparent ascending aortic stiffness is driven by a local mechanical factors. The local nature of the dilated main pulmonary artery impinging on the ascending aortic conduit would be most precisely quantified via complete impedance spectra analysis enabling investigation of “local compression-arterial impedance”. However, the collection of the impedance spectra in the systemic circulation in this patient population is problematic due to clinical-ethical reasons. Future studies will focus on comprehensive aortic 4D-Flow MRI to assess the qualitative flow patterns along with the energy loss index across the ascending aorta to fully investigate the constriction mechanism.
Therefore, we speculate that changes in apparent ascending aortic stiffness were purely due to anatomical compression by the enlarged, neighboring MPA reflected in the most sensitive way by RAC analysis. The compression of ascending aorta within the pericardial limit by MPA appears to further increase LV afterload, as reflected by association with the LV ejection fraction. Finally, the correlation between RAC and LV ventricular-vascular coupling ratio implies that compromised expansion of proximal aorta might have negative afterload dependent effects on LV performance in pediatric PAH. We also found direct correlation between the MPA to ascending aortic size ratio with LV ejection fraction and ventricular-vascular coupling ratio. Overall, we further speculate that vascular interdependency might add to PAH-induced pathophysiology and add to worsening prognosis associated with LV dysfunction in PAH (Figure 8).
Study Limitations
One potential limitation of our study is that the mean time between PC-MRI acquisition and catheterization is variable within our PAH group. We also recognize that some patients underwent the catheterization under anesthesia while being awake for the CMR, which potentially can alter the hemodynamic state. However, this is unavoidable since vast majority of pediatric catheterizations at our institution is performed under general anesthesia, and within this study only six PAH patients (< 8 years) required anesthesia. Future studies will involve synchronized catheterization and non-invasive imaging studies including echocardiography and four-dimensional flow MRI, in order to qualitatively assess the sensitive flow disturbances associated with stiffness compromised vessels.
PWV assessed by flow-area method works under major assumption of reflection-less free pulse wave in the evaluated vessel region. By evaluating PWV in the ascending and proximal thoracic aorta, the planes of evaluation should be sufficiently distant from resistant arterioles, considered to be the major source of impeding pulse wave. Additionally, we did not observe major reflection from the primary aortic branches usually presented as a major reduction in dQ/dA at the end of initial systole phase. However, this PWV computation method is highly sensitive to segmentation errors (through-plane motion, signal loss at high flow rates, non-uniform flow wave etc.).16,30
Another limitation of this study is that included subjects underwent PC-MRI acquisition on two different scanning systems. Ideally, the same acquisition sequence and vendor system would have been applied to every subject. Furthermore, given that both systems operate on different magnetic field strengths, intersystem variability is an important consideration. However, the variable field strength has been shown previously to not alter the flow hemodynamic measurements31. The heterogeneity of PAH etiology and the BMI difference between the control and PAH population may have also compromised the overall results.
Conclusions
Pediatric PAH patients have a focal increase in the apparent ascending aortic stiffness as assessed by cardiac magnetic resonance studies. The apparent aortic stiffness is strongly associated with the degree of distension of the MPA. We speculate that distension of the MPA contributes to aortic stiffness due to its role in limiting full aortic expansion during systole within a restricted space of the thoracic cavity. We propose that in addition to ventricular interdependency, vascular interdependency of the MPA and aorta can potentially have negative effects on LV performance in pediatric PAH, which is primarily due to the mechanical effects of MPA distension.
Supplementary Material
Clinical Perspective.
The mechanics of the left ventricle and the aorta have been largely understudied in the pathophysiology of pulmonary hypertension in children. In this study, we found increased stiffness–as reflected by pulse wave velocity, aortic strain, and distensibility–by MRI in the ascending aorta, but not in the descending aorta of these children. The extent of aortic stiffness correlated with the diameter of the main pulmonary artery, suggesting that PAH-related MPA dilatation impairs the ability of regions of the ascending aorta to fully expand during systole. Further, aortic stiffness parameters were associated with markers of LV function, including ejection fraction and ventriculo-vascular coupling ratio. This has significant implications on the afterload encountered by LV and may negatively impact left ventricular performance, which is already altered by a sick right ventricle. We surmise that intervention during childhood to improve left-sided ventricular-vascular health may alter disease progression.
Acknowledgments
Sources of Funding
This research was supported in part by the Actelion ENTELLIGENCE Grant, Children’s Hospital Colorado Research Scholar Award, Colorado Clinical Translation Sciences Institute Maternal and Child Pilot Grant, The Frederick and Margaret L Weyerhaeuser Foundation, The Jayden de Luca Foundation, NIH grants R01HL114753, U01HL121518, NHLBI U01 HL12118, NHLBI RO1 HL085703, NHLBI RO1 HL68702, K25-HL094749, and by NIH/NCATS Colorado CTSA Grant Number UL1 TR001082.
Footnotes
Disclosures
None.
References
- 1.Abman SH, Hansmann G, Archer SL, Ivy DD, Adatia I, Chung WK, Hanna BD, Rosenzweig EB, Raj JU, Cornfield D, Stenmark KR, Steinhorn R, Thébaud B, Fineman JR, Kuehne T, Feinstein JA, Friedberg MK, Earing M, Barst RJ, Keller RL, Kinsella JP, Mullen M, Deterding R, Kulik T, Mallory G, Humpl T, Wessel DL, American Heart Association Council on Cardiopulmonary, Critical Care, Perioperative and Resuscitation. Council on Clinical Cardiology. Council on Cardiovascular Disease in the Young. Council on Cardiovascular Radiology and Intervention. Council on Cardiovascular Surgery and Anesthesia. the American Thoracic Society Pediatric Pulmonary Hypertension: Guidelines From the American Heart Association and American Thoracic Society. 2015. Circulation. 2015;132:2037–99. doi: 10.1161/CIR.0000000000000329. [DOI] [PubMed] [Google Scholar]
- 2.Ivy DD, Abman SH, Barst RJ, Berger RMF, Bonnet D, Fleming TR, Haworth SG, Raj JU, Rosenzweig EB, Schulze Neick I, Steinhorn RH, Beghetti M. Pediatric pulmonary hypertension. J Am Coll Cardiol. 2013;62:D117–26. doi: 10.1016/j.jacc.2013.10.028. [DOI] [PubMed] [Google Scholar]
- 3.Zijlstra WMH, Douwes JM, Rosenzweig EB, Schokker S, Krishnan U, Roofthooft MTR, Miller-Reed K, Hillege HL, Ivy DD, Berger RMF. Survival differences in pediatric pulmonary arterial hypertension: Clues to a better understanding of outcome and optimal treatment strategies. J Am Coll Cardiol. 2014;63:2159–2169. doi: 10.1016/j.jacc.2014.02.575. [DOI] [PubMed] [Google Scholar]
- 4.Vonk-Noordegraaf A, Haddad F, Chin KM, Forfia PR, Kawut SM, Lumens J, Naeije R, Newman J, Oudiz RJ, Provencher S, Torbicki A, Voelkel NF, Hassoun PM. Right heart adaptation to pulmonary arterial hypertension: physiology and pathobiology. J Am Coll Cardiol. 2013;62:D22–33. doi: 10.1016/j.jacc.2013.10.027. [DOI] [PubMed] [Google Scholar]
- 5.Hopper RK, Abman SH, Ivy DD. Persistent Challenges in Pediatric Pulmonary Hypertension. Chest. 2016;150:226–236. doi: 10.1016/j.chest.2016.01.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Hardegree EL, Sachdev A, Fenstad ER, Villarraga HR, Frantz RP, McGoon MD, Oh JK, Ammash NM, Connolly HM, Eidem BW, Pellikka PA, Kane GC. Impaired left ventricular mechanics in pulmonary arterial hypertension identification of a cohort at high risk. Circ Hear Fail. 2013;6:748–755. doi: 10.1161/CIRCHEARTFAILURE.112.000098. [DOI] [PubMed] [Google Scholar]
- 7.Moledina S, Pandya B, Bartsota M, Mortensen KH, McMillan M, Quyam S, Taylor AM, Haworth SG, Schulze-Neick I, Muthurangu V. Prognostic significance of cardiac magnetic resonance imaging in children with pulmonary hypertension. Circ Cardiovasc Imaging. 2013;6:407–414. doi: 10.1161/CIRCIMAGING.112.000082. [DOI] [PubMed] [Google Scholar]
- 8.Burkett DA, Slorach C, Patel SS, Redington AN, Ivy DD, Mertens L, Younoszai AK, Friedberg MK. Left Ventricular Myocardial Function in Children With Pulmonary Hypertension: Relation to Right Ventricular Performance and Hemodynamics. Circ Cardiovasc Imaging. 2015;8:e003260. doi: 10.1161/CIRCIMAGING.115.003260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Chantler PD, Lakatta EG, Najjar SS. Arterial-ventricular coupling: mechanistic insights into cardiovascular performance at rest and during exercise. J Appl Physiol. 2008;105:1342–1351. doi: 10.1152/japplphysiol.90600.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Jone P-N, Ivy DD. Echocardiography in Pediatric Pulmonary Hypertension. Front Pediatr. 2014;2:1–15. doi: 10.3389/fped.2014.00124. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Truong U, Fonseca B, Dunning J, Burgett S, Lanning C, Ivy DD, Shandas R, Hunter K, Barker AJ. Wall shear stress measured by phase contrast cardiovascular magnetic resonance in children and adolescents with pulmonary arterial hypertension. J Cardiovasc Magn Reson. 2013;15:81. doi: 10.1186/1532-429X-15-81. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Sanz J, García-Alvarez A, Fernández-Friera L, Nair A, Mirelis JG, Sawit ST, Pinney S, Fuster V. Right ventriculo-arterial coupling in pulmonary hypertension: a magnetic resonance study. Heart. 2012;98:238–43. doi: 10.1136/heartjnl-2011-300462. [DOI] [PubMed] [Google Scholar]
- 13.Barker AJ, Lanning C, Shandas R. Quantification of hemodynamic wall shear stress in patients with bicuspid aortic valve using phase-contrast MRI. Ann Biomed Eng. 2010;38:788–800. doi: 10.1007/s10439-009-9854-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Heiberg E, Sjögren J, Ugander M, Carlsson M, Engblom H, Arheden H. Design and validation of Segment - freely available software for cardiovascular image analysis. 2010:1–13. doi: 10.1186/1471-2342-10-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Schäfer M, Ivy DD, Barker AJ, Kheyfets V, Shandas R, Abman SH, Hunter KS, Truong U. Characterization of CMR-derived haemodynamic data in children with pulmonary arterial hypertension. Eur Hear J – Cardiovasc Imaging. 2016:jew152. doi: 10.1093/ehjci/jew152. [DOI] [PubMed] [Google Scholar]
- 16.Herold V, Parczyk M, Mörchel P, Ziener CH, Klug G, Bauer WR, Rommel E, Jakob PM. In vivo measurement of local aortic pulse-wave velocity in mice with MR microscopy at 17.6 Tesla. Magn Reson Med. 2009;61:1293–9. doi: 10.1002/mrm.21957. [DOI] [PubMed] [Google Scholar]
- 17.Wentland AL, Grist TM, Wieben O. Review of MRI-based measurements of pulse wave velocity: a biomarker of arterial stiffness. Cardiovasc Diagn Ther. 2014;4:193–206. doi: 10.3978/j.issn.2223-3652.2014.03.04. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Forouzan O, Warczytowa J, Wieben O, François CJ, Chesler NC. Non-invasive measurement using cardiovascular magnetic resonance of changes in pulmonary artery stiffness with exercise. J Cardiovasc Magn Reson. 2015;17:109. doi: 10.1186/s12968-015-0213-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Truong U, Patel S, Kheyfets V, Dunning J, Fonseca B, Barker AJ, Ivy D, Shandas R, Hunter K. Non-invasive determination by cardiovascular magnetic resonance of right ventricular-vascular coupling in children and adolescents with pulmonary hypertension. J Cardiovasc Magn Reson. 2015;17:81. doi: 10.1186/s12968-015-0186-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hunter KS, Lee P, Lanning CJ, Ivy DD, Kirby KS, Claussen LR, Chan KC. Pulmonary Vascular Input Impedance is a Combined Measure of Pulmonary Vascular Resistance and Stiffness and Predicts Clinical Outcomes Better than PVR Alone ine Pediatric Patients with Pulmonary Hypertension with Pulmonary Hypertension. Am Heart J. 2008;155:166–174. doi: 10.1016/j.ahj.2007.08.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Knight DS, Steeden J a, Moledina S, Jones A, Coghlan JG, Muthurangu V. Left ventricular diastolic dysfunction in pulmonary hypertension predicts functional capacity and clinical worsening: a tissue phase mapping study. J Cardiovasc Magn Reson. 2015;17:116. doi: 10.1186/s12968-015-0220-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Burkett DA, Slorach C, Patel SS, Redington AN, Ivy DD, Mertens L, Younoszai AK, Friedberg MK. Impact of Pulmonary Hemodynamics and Ventricular Interdependence on Left Ventricular Diastolic Function in Children With Pulmonary Hypertension. Circ Cardiovasc Imaging. 2016;9:1–12. doi: 10.1161/CIRCIMAGING.116.004612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Hassoun PM, Mouthon L, Barberà J a., Eddahibi S, Flores SC, Grimminger F, Jones PL, Maitland ML, Michelakis ED, Morrell NW, Newman JH, Rabinovitch M, Schermuly R, Stenmark KR, Voelkel NF, Yuan JXJ, Humbert M. Inflammation, Growth Factors, and Pulmonary Vascular Remodeling. J Am Coll Cardiol. 2009;54:S10–S19. doi: 10.1016/j.jacc.2009.04.006. [DOI] [PubMed] [Google Scholar]
- 24.Szulcek R, Happé CM, Rol N, Fontijn RD, Dickhoff C, Hartemink KJ, Grünberg K, Tu L, Timens W, Nossent GD, Paul MA, Leyen TA, Horrevoets AJ, de Man FS, Guignabert C, Yu PB, Vonk-Noordegraaf A, van Nieuw Amerongen GP, Bogaard HJ. Delayed Microvascular Shear-adaptation in Pulmonary Arterial Hypertension: Role of PECAM-1 Cleavage. Am J Respir Crit Care Med. 2016;33:1–58. doi: 10.1164/rccm.201506-1231OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Davies PF. Hemodynamic shear stress and the endothelium in cardiovascular pathophysiology. Nat Clin Pract Cardiovasc Med. 2009;6:16–26. doi: 10.1038/ncpcardio1397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Guzzardi DG, Barker AJ, van Ooij P, Malaisrie SC, Puthumana JJ, Belke DD, Mewhort HEM, Svystonyuk D a., Kang S, Verma S, Collins J, Carr J, Bonow RO, Markl M, Thomas JD, McCarthy PM, Fedak PWM. Valve-Related Hemodynamics Mediate Human Bicuspid Aortopathy. J Am Coll Cardiol. 2015;66:892–900. doi: 10.1016/j.jacc.2015.06.1310. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Cavalcante JL, Lima J a C, Redheuil A, Al-Mallah MH. Aortic stiffness: current understanding and future directions. J Am Coll Cardiol. 2011;57:1511–22. doi: 10.1016/j.jacc.2010.12.017. [DOI] [PubMed] [Google Scholar]
- 28.Chesler N, Wang Z. Pulmonary vascular wall stiffness: An important contributor to the increased right ventricular afterload with pulmonary hypertension. Pulm Circ. 2011;1:212. doi: 10.4103/2045-8932.83453. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Schäfer M, Myers C, Brown RD, Frid MG, Tan W, Hunter K, Stenmark KR. Pulmonary Arterial Stiffness: Toward a New Paradigm in Pulmonary Arterial Hypertension Pathophysiology and Assessment. Curr Hypertens Rep. 2016;18:4. doi: 10.1007/s11906-015-0609-2. [DOI] [PubMed] [Google Scholar]
- 30.Nayak KS, Nielsen J-F, Bernstein MA, Markl M, D. Gatehouse P, M. Botnar R, Saloner D, Lorenz C, Wen H, S. Hu B, Epstein FH, N. Oshinski J, Raman SV. Cardiovascular magnetic resonance phase contrast imaging. J Cardiovasc Magn Reson. 2015;17:71. doi: 10.1186/s12968-015-0172-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Barker AJ, Roldán-Alzate A, Entezari P, Shah SJ, Chesler NC, Wieben O, Markl M, François CJ. Four-dimensional flow assessment of pulmonary artery flow and wall shear stress in adult pulmonary arterial hypertension: Results from two institutions. Magnetic Resonance in Medicine. 2015;73:1904–1913. doi: 10.1002/mrm.25326. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.