You are here

Article Text

Article menu
Pulmonary vascular disease
Original research
Right ventricular remodelling in pulmonary arterial hypertension predicts treatment response
  1. Ze Ming Goh1,
  2. Nithin Balasubramanian1,
  3. Samer Alabed1,2,
  4. Krit Dwivedi1,3,
  5. Yousef Shahin1,2,
  6. Alexander M K Rothman1,
  7. Pankaj Garg1,4,
  8. Allan Lawrie1,
  9. David Capener1,
  10. A A Roger Thompson1,
  11. Faisal Alandejani1,
  12. Jim M Wild1,3,
  13. Christopher S Johns2,
  14. Robert A Lewis5,
  15. Rebecca Gosling1,
  16. Michael Sharkey1,
  17. Robin Condliffe3,5,
  18. David G Kiely1,3,5,
  19. Andrew J Swift1,2,3
  1. 1 Department of Infection, Immunity and Cardiovascular Disease, The University of Sheffield, Sheffield, UK
  2. 2 Radiology Department, Sheffield Teaching Hospitals NHS Trust, Sheffield, UK
  3. 3 INSIGNEO, Institute of Insilico Medicine, Sheffield, UK
  4. 4 Norwich Medical School, University of East Anglia, Norwich, UK
  5. 5 Sheffield Pulmonary Vascular Disease Unit, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
  1. Correspondence to Dr Ze Ming Goh, The University of Sheffield Department of Infection Immunity and Cardiovascular Disease, Sheffield S10 2TN, UK; zmgoh13{at}gmail.com

Abstract

Objectives To determine the prognostic value of patterns of right ventricular adaptation in patients with pulmonary arterial hypertension (PAH), assessed using cardiac magnetic resonance (CMR) imaging at baseline and follow-up.

Methods Patients attending the Sheffield Pulmonary Vascular Disease Unit with suspected pulmonary hypertension were recruited into the ASPIRE (Assessing the Spectrum of Pulmonary hypertension Identified at a REferral Centre) Registry. With exclusion of congenital heart disease, consecutive patients with PAH were followed up until the date of census or death. Right ventricular end-systolic volume index adjusted for age and sex and ventricular mass index were used to categorise patients into four different volume/mass groups: low-volume-low-mass, low-volume-high-mass, high-volume-low-mass and high-volume-high-mass. The prognostic value of the groups was assessed with one-way analysis of variance and Kaplan-Meier plots. Transition of the groups was studied.

Results A total of 505 patients with PAH were identified, 239 (47.3%) of whom have died at follow-up (median 4.85 years, IQR 4.05). The mean age of the patients was 59±16 and 161 (32.7%) were male. Low-volume-low-mass was associated with CMR and right heart catheterisation metrics predictive of improved prognosis. There were 124 patients who underwent follow-up CMR (median 1.11 years, IQR 0.78). At both baseline and follow-up, the high-volume-low-mass group had worse prognosis than the low-volume-low-mass group (p<0.001). With PAH therapy, 73.5% of low-volume-low-mass patients remained in this group, whereas only 17.4% of high-volume-low-mass patients transitioned into low-volume-low-mass.

Conclusions Right ventricular adaptation assessed using CMR has prognostic value in patients with PAH. Patients with maladaptive remodelling (high-volume-low-mass) are at high risk of treatment failure.

  • Magnetic Resonance Imaging
  • Pulmonary Arterial Hypertension
  • Heart Failure

Data availability statement

Data are available upon reasonable request.

https://creativecommons.org/licenses/by/4.0/

This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

https://doi.org/10.1136/heartjnl-2021-320733

Statistics from Altmetric.com

    Request Permissions

    If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

    Introduction

    Pulmonary arterial hypertension (PAH) is a life-shortening condition characterised by a vasculopathy affecting pulmonary arterioles, resulting in increased afterload and without treatment right ventricular (RV) failure.1–3 Assessment of disease severity and prognosis is essential in selecting treatment options, timing of lung transplantation and counselling patients.4

    Cardiac magnetic resonance (CMR) provides an accurate and reproducible assessment of ventricular morphology and function.5–12 Using CMR, previous studies have assessed the prognostic value of the ratio of RV mass to volume in individuals with PAH.2 13 Patients with low RV mass to volume ratio (eccentric hypertrophy) have been suggested to have more severe disease than patients with high RV mass to volume ratio (concentric hypertrophy) in terms of clinical presentation, haemodynamic status and survival.2 13 However, a low RV mass to volume ratio may be suboptimal in identifying at-risk patients because it indicates either a normal or a dilated RV due to eccentric hypertrophy.2 A more recent and detailed approach to assessing RV morphology in patients with PAH using CMR is through RV volume/mass grouping, in which the RV morphology is categorised based on RV volume and mass threshold values.14

    The aims of this study were to characterise patients with PAH based on patterns of RV adaptation using RV volume/mass grouping, assess whether RV adaptation prior to treatment predicted the likelihood of reverse remodelling following PAH therapy and to assess the impact of remodelling on prognosis.

    Methods

    Patients

    Consecutive patients who underwent CMR and were diagnosed with PAH from the ASPIRE (Assessing the Spectrum of Pulmonary Hypertension Identified at a REferral Centre) Registry between 12 May 2009 and 1 February 2015 were included in the baseline cohort. Entry criteria for the registry included patients attending the Sheffield Pulmonary Vascular Disease Unit with suspected pulmonary hypertension. Patients were given the opportunity to opt out of the registry. Patients were evaluated with lung function, exercise testing, high-resolution CT, CT pulmonary angiography, CMR and right heart catheterisation (RHC), as previously described.15 Patients with PAH associated with congenital heart disease were excluded from the study.

    Patients from the baseline cohort who had a follow-up CMR assessment were included in the follow-up cohort. Treatment regimen and follow-up were based on the European Society of Cardiology (ESC)/European Respiratory Society (ERS) guidelines16 and in accordance with the UK commissioning policy for treatment of PAH. Patients were treated with monotherapy, combination therapy or iloprost.

    CMR acquisition

    CMR images were acquired in supine position using a GE HDx (GE Healthcare, Milwaukee, Wisconsin) whole-body scanner at 1.5T with an eight-channel cardiac coil. A stack of short-axis cine images with a slice thickness of 8 mm (2 mm interslice gap) covering both ventricles from the base to the apex were produced. A cardiac gated multislice balanced steady-state free precession (SSFP) sequence and retrospective ECG gating were used. End-systole was defined as the smallest cavity area, while end-diastole was defined as the largest cavity area or the first cine phase of the R-wave triggered acquisition.

    Image analysis

    Image analysis was carried out on a GE Advantage Workstation V.4.1. CMR readers were blinded to all clinical and imaging data. RV volume parameters such as RV end-diastolic volume (RVEDV), RV end-systolic volume (RVESV), left ventricular end-diastolic volume (LVEDV) and left ventricular end-systolic volume (LVESV) were obtained by manually tracing the right and left endocardial and epicardial surfaces on short-axis cine images, using proprietary MR Workstation software. RVEDV, RVESV, LVEDV and LVESV were corrected for body surface area, adjusted for sex and age, and presented as percentage predicted (RVEDVI%pred, RVESVI%pred, LVEDVI%pred and LVESVI%pred) according to the work of Maceira et al.17 18 RV end-diastolic mass (RVEDM) and left ventricular end-diastolic mass (LVEDM) were derived. The interventricular septum was measured as part of the left ventricle (LV). Ventricular mass index (VMI) was calculated by dividing the RVEDM with the LVEDM. Figure 1 illustrates the CMR images with different RVESVI%pred and VMI values. RV ejection fraction (RVEF), LV ejection fraction (LVEF), and RV and LV stroke volume were derived from the end-diastolic and end-systolic volume. RVEF and LVEF were adjusted for sex and age and presented as percentage predicted (RVEF%pred and LVEF%pred) according to previous studies.17 19 Right atrial (RA) area was measured on four-chamber cine images at the phase of maximal area.

    Figure 1
    Figure 1

    Summary figure: RV remodelling adaptation in PAH. HVLM, high-volume-low-mass; LV, left ventricular; LVLM, low-volume-low-mass; PAH, pulmonary arterial hypertension; RV, right ventricular.

    Right heart catheterisation

    RHC was performed via the internal jugular vein with a Swan-Ganz catheter. The diagnostic criteria for PAH at the time of RHC were mean pulmonary arterial pressure (mPAP) ≥25 mm Hg at rest, pulmonary arterial wedge pressure (PAWP) of ≤15 mm Hg and pulmonary vascular resistance (PVR) >3 Wood units.16 PVR was calculated using the following formula: PVR=(mPAP−PAWP)/cardiac output (CO). The thermodilution technique was used to obtain the values of CO.

    RV-pulmonary arterial coupling measurements

    Pulmonary arterial elastance (Ea) was estimated by dividing the difference between mPAP and PAWP by LV stroke volume (LVSV) index. RV elastance (Ees) was estimated as the mPAP divided by the RV end-systolic volume index (RVESVI). RV-pulmonary arterial coupling metric (Ees:Ea) was defined as the ratio of Ees to Ea and was calculated using the following equation: (mPAP/RVESV)/([mPAP−PAWP]/LVSV).20 Using only the CMR measurements, a non-invasive RV-pulmonary arterial coupling metric (CMR Ees:Ea) was derived by dividing the LVSV by the RVESV.21

    Statistics

    Baseline assessment

    IBM SPSS Statistics V.26 was used for statistical analysis. The follow-up period was defined as the interval from the day of baseline CMR assessment to all-cause death or 28 October 2019. RVEDVI%pred, RVESVI%pred and VMI were used to derive RV volume/mass variables such as RVEDVI%pred:VMI and RVESVI%pred:VMI. Cox proportional hazards regression was used to identify variables that were prognostic in the subgroup of incident patients. Univariate Cox proportional hazards regression analysis was used to assess the prognostic values of RVEDVI%pred, RVESVI%pred, VMI, RVEDVI%pred:VMI and RVESVI%pred:VMI. Bivariate analysis with an enter approach was run for RVESVI%pred and VMI (online supplemental file 1). Variable scaling was performed to allow direct comparison of HR.

    Supplemental material

    The patients were divided into four different volume/mass groups using an RVESVI%pred threshold of 227% and a VMI threshold of 0.53 according to Lewis et al 7 and Goh et al.14 The groups were as follows: low RVESVI%pred and low VMI (low-volume-low-mass), low RVESVI%pred and high VMI (low-volume-high-mass), high RVESVI%pred and low VMI (high-volume-low-mass), as well as high RVESVI%pred and low VMI (high-volume-high-mass). RVESVI%pred value was used as the threshold instead of RVEDVI%pred due to its higher prognostic value.1 4 One-way analysis of variance (ANOVA) or χ2 test was used to assess the demographic, CMR, RHC and coupling variables. Differences were considered statistically significant if p<0.05 after Bonferroni correction.

    Survival analysis was performed in the subgroup of incident patients. Kaplan-Meier plots were constructed and log-rank (Mantel-Cox) test was used to compare the prognoses of the volume/mass groups.

    Follow-up assessment

    Patients included in the follow-up cohort were divided into different volume/mass groups as previously described.14 An alluvial graph was created to demonstrate the transition in volume/mass groups from baseline to follow-up assessment. Kaplan-Meier plots were constructed and the log-rank (Mantel-Cox) test was used to compare the prognoses of the groups at follow-up. Differences were considered statistically significant if p<0.05 after correcting for false discovery rate. Multivariate Cox proportional hazards regression analysis with forward approach was used to identify demographic prognostic indicators that were independent of volume/mass groups (online supplemental file 1).

    Patient and public involvement

    The Sheffield Hospital Cardiovascular Patient Panel was consulted on the importance of CMR in patient assessment and this helped to design the study to identify at-risk patients who may benefit from intensified therapy.

    Results

    Baseline assessment

    Patients

    A total of 505 consecutive individuals with PAH were identified in the baseline cohort, consisting of 362 incident treatment-naïve patients and 143 prevalent patients on PAH treatment. Within the follow-up period (median 4.85 years, IQR 4.05), 239 (47.3%) patients died. The mean age of the patients was 59±16 and 161 (32.7%) were male. Clinical subtypes included idiopathic PAH (n=256, 50.7%), connective tissue disease-associated PAH (n=192, 38.0%) and other subtypes (n=57, 11.3%). Complete RV mass, volume and RA area data were available for 493 patients. We excluded 12 patients (2.4%) due to missing data. The patients were divided into different volume/mass groups as follows: 181 low-volume-low-mass, 78 low-volume-high-mass, 74 high-volume-low-mass and 160 high-volume-high-mass. Table 1 shows the demographics and comparisons of the volume/mass groups. There were similar proportions of patients from each group who received the same treatment regimen, except in the low-volume-low-mass group, where more patients were treated with monotherapy and fewer treated with iloprost, compared with the high-volume-high-mass group.

    View this table:
    Table 1

    Demographics and comparison of different volume/mass groups at baseline

    One-way ANOVA and χ2

    Box and whisker plots were constructed to illustrate the results of one-way ANOVA (figures 2 and 3). The low-volume-low-mass group had the highest mean cardiac index (CI) (3.2±0.9), mixed venous oxygen saturation (68±7), RVEF%pred (71.1±16.5), Ees:Ea (1.4±1.1) and CMR Ees:Ea (0.9±0.5), the lowest mPAP (40±11) and PVR (462±268), as well as the smallest RA area (21.2±7.0). High-volume-low-mass patients had the oldest age (67±12). The high-volume-high-mass group had the highest mean PVR (906±392) and the lowest Ees:Ea (0.3±0.2) and CMR Ees:Ea (0.2±0.1).

    Figure 2
    Figure 2

    Box and whisker plot of age and CMR-derived metrics including RVEF%pred, RA area and CMR Ees:Ea at baseline in groups. CMR, cardiac magnetic resonance; Ea, arterial load; Ees, right ventricular elastance; HVHM, high-volume-high-mass; HVLM, high-volume-low-mass; LVHM, low-volume-high-mass; LVLM, low-volume-low-mass; RA, right atrial; RVEF%pred, right ventricular ejection fraction percentage predicted.*P≤0.05; **P≤0.01; ***P≤0.001; ****P≤0.0001.

    Figure 3
    Figure 3

    Box and whisker plot of haemodynamic metrics including mPAP, CI, PVR, mean right atrial pressure, mixed venous oxygen saturation and Ees:Ea at baseline in groups. CI, cardiac index; Ea, arterial load; Ees, right ventricular elastance; HVHM, high-volume-high-mass; HVLM, high-volume-low-mass; LVHM, low-volume-high-mass; LVLM, low-volume-low-mass; mPAP, mean pulmonary arterial pressure; PVR, pulmonary vascular resistance. *P≤0.05; **P≤0.01; ***P≤0.001; ****P≤0.0001.

    Survival analyses

    A total of 362 incident patients were identified and included in the survival analyses. Within the follow-up period (median 4.85 years, IQR 4.62), 184 patients (51%) died. Table 2 displays the results of the univariate Cox proportional hazard regression analysis. Variables identified to be significant predictors of mortality in univariate Cox regression included RVESVI%pred (scaled HR 1.162; 95% CI 1.013 to 1.334; p=0.032), VMI (scaled HR 0.842; 95% CI 0.719 to 0.985; p=0.032), RVEDVI%pred:VMI (scaled HR 1.303; 95% CI 1.127 to 1.507; p<0.001) and RVESVI%pred:VMI (scaled HR 1.354; 95% CI 1.194 to 1.536; p<0.001).

    View this table:
    Table 2

    Results of Cox regression in the subgroup of incident patients at baseline

    On bivariate Cox regression, both RVESVI%pred and VMI were identified as independent CMR predictors of death and the following model was derived: prognostic index=(RVESVI%pred×0.002)−(VMI×0.965) (online supplemental file 1). The bivariate Cox regression model was shown to have significant prognostic value (scaled HR 1.380; 95% CI 1.181 to 1.613; p<0.001).

    Group comparison

    Figure 4 illustrates the plotted Kaplan-Meier graphs. Within the subgroup of incident patients, the prognosis of the high-volume-low-mass group was significantly worse than the low-volume-low-mass (log-rank test χ2 23.26, p<0.0001), low-volume-high-mass (log-rank test χ2 21.34, p<0.0001) and high-volume-high-mass group (log-rank test χ2 21.33, p<0.0001) groups at baseline.

    Figure 4
    Figure 4

    Kaplan-Meier graph illustrating survival of the subgroup of incident patients at baseline assessment, excluding patients with congenital heart disease. Log-rank test results comparing each group with HVLM are shown, with p value corrected for false discovery rate. CMR, cardiac magnetic resonance; HVHM, high-volume-high-mass; HVLM, high-volume-low-mass; LVHM, low-volume-high-mass; LVLM, low-volume-low-mass.

    Follow-up assessment

    Patients

    The follow-up cohort consisted of 124 (24.6%) patients out of the 505 patients from the baseline cohort who had a subsequent CMR at follow-up (median 1.11 years, IQR 0.78). Clinical subtypes included idiopathic PAH (n=64, 51.6%), connective tissue disease-associated PAH (n=48, 38.7%) and other subtypes (n=12, 9.7%). Patients were divided into different volume/mass groups as follows: 62 low-volume-low-mass, 15 low-volume-high-mass, 23 high-volume-low-mass and 24 high-volume-high-mass (Online supplemental file 1). Of the 124 patients included, 48 (38.4%) died after a further follow-up duration (median 4.36 years, IQR 2.62).

    Group transition

    The transition of volume/mass group from baseline to follow-up assessment is illustrated in figure 5. Among the low-volume-low-mass patients, most remained in the same group (73.5%) at follow-up. Most low-volume-high-mass patients (59.1%) transitioned into low-volume-low-mass. More than half of the high-volume-low-mass patients (60.9%) remained in the group. Within the high-volume-high-mass group, 30.0% transitioned into low-volume-low-mass.

    Figure 5
    Figure 5

    An alluvial graph demonstrating the transition of patients of each volume/mass group from baseline to follow-up with guideline-based therapy. HVHM, high-volume-high-mass; HVLM, high-volume-low-mass; LVHM, low-volume-high-mass; LVLM, low-volume-low-mass.

    Survival analyses

    Figure 6 illustrates the plotted Kaplan-Meier graphs. At follow-up assessment, patients with low-volume-low-mass had better prognosis than patients with low-volume-high-mass (log-rank test χ2 4.37, p=0.037), high-volume-low-mass (log-rank test χ2 24.81, p<0.0001) and high-volume-high-mass (log-rank test χ2 8.14, p=0.004). On multivariate Cox regression analysis, volume/mass groups were found to be independent of age at follow-up and treatment regimen and the following model was derived: prognostic index=(age at follow-up×0.042)+(0 if low-volume-low-mass)+(1.460 if low-volume-high-mass)+(1.193 if high-volume-low-mass)+(1.377 if high-volume-high-mass) (online supplemental file 1).

    Figure 6
    Figure 6

    Kaplan-Meier graph illustrating survival of patients, excluding patients with congenital heart disease at follow-up. Log-rank test results comparing each group with LVLM are shown, with p value corrected for false discovery rate. The number at risk each year is presented below each plot. CMR, cardiac magnetic resonance; HVHM, high-volume-high-mass; HVLM, high-volume-low-mass; LVHM, low-volume-high-mass; LVLM, low-volume-low-mass.

    Discussion

    This study has evaluated the prognostic utility of patterns of RV adaptation assessed with CMR in patients with PAH and has shown that patients with maladaptive RV remodelling, characterised by high-volume-low-mass, were associated with poor outcome and predicted a poor response to treatment. In contrast, patients with low-volume-low-mass had an excellent prognosis.

    RV remodelling

    In the early stage of PAH, initial RV adaptation to elevated afterload occurs with RV function maintained through RV hypertrophy. As the disease progresses, the hypertrophic process may slow as RV dilatation progresses.22 A meta-analysis of 21 studies evaluating the prognostic value of CMR-derived RV volume parameters showed that for every 1 mL/m2 increase in RVESVI and RV end-diastolic volume index (RVEDVI), the risk of mortality increases by 1.0% and 0.6%, respectively.1 Using echocardiography, whereas increased RV diameter was associated with a worse prognosis, those with RV wall thickness had a better prognosis.23 Early compensatory increase in RV mass has been suggested to represent adaptive RV remodelling24 and an increased VMI is associated with lower mortality in PAH.14

    The RV mass to volume ratio has been proposed as a better prognostic indicator than RV mass or volume alone because it allows distinction of eccentric hypertrophy (low RV mass:volume) and concentric hypertrophy (high RV mass:volume).2 13 In the present study, the bivariate Cox regression model of RVESVI%pred and VMI was a stronger prognostic indicator than RV volume/mass variables, including RVEDVI%pred:VMI and RVESVI%pred:VMI, suggesting that a simple ratio may be suboptimal in identifying at-risk patients with PAH. In addition, the RV mass to volume ratio is limited as individuals with a low RV mass to volume ratio can indicate either a normal or dilated RV due to eccentric hypertrophy.2 Therefore, the present study adopted the volume/mass grouping based on RVESVI%pred and VMI values to better understand the different patterns of RV adaptation in PAH and their association with RV function and survival rate. Figure 1 illustrates the different types of RV adaptation in PAH and their associated outcomes.

    RV reverse remodelling with successful interventions

    RV reverse remodelling, characterised by reduction in RV mass and volume, is associated with successful interventions through pharmacological treatments, pulmonary endarterectomy or lung transplantation.25 Echocardiographic evidence of RV reverse remodelling has been shown to be a stronger prognostic indicator than functional and haemodynamic parameters.25

    RV volume/mass phenotypes: group comparison

    We postulated that the prognoses of the RV volume/mass groups were determined by two factors: their structural adaptivity to the increased afterload and potential to undergo RV reverse remodelling in response to treatment. The structural adaptivity of each group was evaluated through its association with previously described CMR or RHC-derived prognostic indicators.4 22 26–30 Meanwhile, the likelihood of reverse remodelling due to treatment was assessed by studying the transition of patients with PAH from their respective volume/mass group to the low-volume-low-mass group during follow-up.

    Low-volume-low-mass patients have been suggested to undergo minimal RV remodelling and thus maintain good RV function.14 This is consistent with the findings of the present study that the low-volume-low-mass group had the highest mean CI, SvO2, RVEF%pred and Ees:Ea, the lowest mPAP and PVR, and the smallest RA area. These prognostic indicators are associated with better RV function and survival.4 22 26–28 30 Furthermore, better prognosis was observed in low-volume-low-mass patients at both baseline14 and follow-up assessments. Therefore, we propose that low-volume-low-mass is the ideal RV structural adaptation in PAH and could be used as the treatment target. Additionally, we found that most low-volume-low-mass patients (73.5%) remain in this mild or adaptive RV morphology.

    Low-volume-high-mass and high-volume-high-mass groups have been suggested to represent adaptive RV changes in PAH.14 However, in the present study, both low-volume-high-mass and high-volume-high-mass patients had significantly lower mean RVEF%pred, CI, SvO2 and Ees:Ea than low-volume-low-mass patients, suggesting that they had impaired RV function and at risk of worse clinical outcomes.4 22 26 28 30 Additionally, a poor prognosis was observed for groups who attained either a low-volume-high-mass or high-volume-high-mass at follow-up. The more favourable prognosis of these groups at baseline14 may be explained by their potential to undergo reverse RV remodelling with treatment. Following PAH therapy, a significant proportion of low-volume-high-mass (59.1%) and high-volume-high-mass (30.0%) patients transitioned into the low-volume-low-mass group, which was associated with better RV function. Therefore, in the scenario where a low-volume-high-mass or high-volume-high-mass patient remains in their volume/mass group despite initial treatment, physicians should consider escalating treatment regimen to achieve reverse RV remodelling, or where the patient is on maximal therapy consider, where eligible, lung transplantation.

    High-volume-low-mass has been recognised to be a maladaptation in PAH and is associated with poor prognosis.14 The current study has demonstrated consistent findings, that high-volume-low-mass patients had significantly lower CI, SvO2, RVEF%pred and Ees:Ea, higher mPAP and PVR, as well as larger RA area than the low-volume-low-mass group. Additionally, high-volume-low-mass patients had a poor prognosis at both baseline and follow-up assessments. Despite PAH therapy, most high-volume-low-mass patients (60.9%) remained in the maladaptive group. Therefore, we postulate that high-volume-low-mass reflects a maladaptation to an increased afterload and with current PAH therapies are unlikely to successfully remodel.

    High-volume-low-mass patients have been found to be older than other groups and this may in part explain their higher mortality.14 However, the present study has demonstrated that all volume/mass groups remained prognostic following adjustment for age at follow-up and treatment regimen, suggesting that all patients with inadequate RV reverse remodelling at follow-up (low-volume-high-mass, high-volume-low-mass and high-volume-high-mass) are at increased risk of adverse outcome regardless of age and treatment regimen. Furthermore, high-volume-low-mass patients received similar treatment as other groups at baseline in the present study, demonstrating that these high-risk patients were not detected using the risk stratification method of the ESC/ERS guidelines, and features of RV remodelling on CMR could be an early indicator of adverse outcomes. Besides, future studies that explore the link between age or genetics and susceptibility to RV maladaptation in patients with PAH might provide invaluable clinically relevant information and insight into the pathophysiology of the disease.

    Limitations

    The study cohort consisted of patients referred to a single tertiary centre and would benefit from external validation. During the Sixth World Symposium on Pulmonary Hypertension in 2018, it was recommended to diagnose PAH using a threshold of mPAP >20 mm Hg and PVR ≥3 Wood units.31 However, the present registry study has adopted the previous diagnostic threshold of mPAP ≥25 mm Hg and PVR >3 Wood units. There were relatively few patients who received a follow-up CMR as it was not an obligation in the registry, making it difficult to compare the survival analyses at baseline and follow-up. Due to the nature of the study, it was not possible to evaluate the effect of different regimens on RV remodelling and clinical outcome. Further work with controlled treatment regimens would be beneficial.

    Conclusion

    CMR identifies patients with PAH with low RV volume and mass who are well adapted to an increased RV afterload and have low mortality, and patients with high RV volume and low RV mass who represent a maladaptation with high mortality. Low RV volume and mass at follow-up should be used as a treatment target. Intensification of treatment should be considered in patients with high RV volume and low RV mass, possibly as early as at the time of diagnosis.

    Key messages

    What is already known on this subject?

    • Right ventricular (RV) failure is considered the key determinant of mortality in pulmonary arterial hypertension (PAH).

    • The relationship between RV dilatation and hypertrophy in PAH has been proposed as a marker of RV adaptation.

    What might this study add?

    • In patients receiving PAH treatment, reverse remodelling characterised by a reduction in RV mass and volume is associated with improved outcomes, with patients achieving low-volume-low-mass at follow-up having better long-term outcome, compared with low-volume-high-mass (log-rank test χ2 4.37, p=0.037), high-volume-low-mass (log-rank test χ2 24.81, p<0.001) and high-volume-high-mass (log-rank test χ2 8.14, p=0.004).

    • While patients with low-volume-high-mass (59.1%) and high-volume-high-mass (30.0%) have the potential to undergo RV reverse remodelling, response to treatment in patients with high-volume-low-mass is poor (17.4%).

    How might this impact on clinical practice?

    • The study aids the identification of patients with PAH and maladaptive remodelling (high-volume-low-mass) who are at high risk of treatment failure.

    Data availability statement

    Data are available upon reasonable request.

    Ethics statements

    Patient consent for publication

    Ethics approval

    Ethical approval from the North Sheffield Ethics Committee and Review Board was obtained (reference c06/Q2308/8).

    References

    1. ↵
      2. Alabed S ,
      3. Shahin Y ,
      4. Garg P , et al
      . Cardiac-MRI predicts clinical worsening and mortality in pulmonary arterial hypertension: a systematic review and meta-analysis. JACC Cardiovasc Imaging 2021;14:931–42.doi:10.1016/j.jcmg.2020.08.013 pmid:http://www.ncbi.nlm.nih.gov/pubmed/33008758
      OpenUrlPubMed
    2. ↵
      2. Badagliacca R ,
      3. Poscia R ,
      4. Pezzuto B , et al
      . Right ventricular remodeling in idiopathic pulmonary arterial hypertension: adaptive versus maladaptive morphology. J Heart Lung Transplant 2015;34:395–403.doi:10.1016/j.healun.2014.11.002 pmid:http://www.ncbi.nlm.nih.gov/pubmed/25499139
      OpenUrlCrossRefPubMed
    3. ↵
      2. Baggen VJM ,
      3. Leiner T ,
      4. Post MC , et al
      . Cardiac magnetic resonance findings predicting mortality in patients with pulmonary arterial hypertension: a systematic review and meta-analysis. Eur Radiol 2016;26:3771–80.doi:10.1007/s00330-016-4217-6 pmid:http://www.ncbi.nlm.nih.gov/pubmed/26847041
      OpenUrlPubMed
    4. ↵
      2. Swift AJ ,
      3. Capener D ,
      4. Johns C , et al
      . Magnetic resonance imaging in the prognostic evaluation of patients with pulmonary arterial hypertension. Am J Respir Crit Care Med 2017;196:228–39.doi:10.1164/rccm.201611-2365OC pmid:http://www.ncbi.nlm.nih.gov/pubmed/28328237
      OpenUrlPubMed
    5. ↵
      2. Kiely DG ,
      3. Levin DL ,
      4. Hassoun PM , et al
      . Statement on imaging and pulmonary hypertension from the pulmonary vascular research Institute (PVRI). Pulm Circ 2019;9:1–32.doi:10.1177/2045894019841990
      OpenUrlPubMed
    6. ↵
      2. Swift AJ ,
      3. Rajaram S ,
      4. Campbell MJ , et al
      . Prognostic value of cardiovascular magnetic resonance imaging measurements corrected for age and sex in idiopathic pulmonary arterial hypertension. Circ Cardiovasc Imaging 2014;7:100–6.doi:10.1161/CIRCIMAGING.113.000338 pmid:http://www.ncbi.nlm.nih.gov/pubmed/24275955
      OpenUrlAbstract/FREE Full Text
    7. ↵
      2. Lewis RA ,
      3. Johns CS ,
      4. Cogliano M , et al
      . Identification of cardiac magnetic resonance imaging thresholds for risk stratification in pulmonary arterial hypertension. Am J Respir Crit Care Med 2020;201:458–68.doi:10.1164/rccm.201909-1771OC pmid:http://www.ncbi.nlm.nih.gov/pubmed/31647310
      OpenUrlPubMed
    8. ↵
      2. Swift AJ ,
      3. Wild JM ,
      4. Nagle SK , et al
      . Quantitative magnetic resonance imaging of pulmonary hypertension. J Thorac Imaging 2014;29:68–79.doi:10.1097/RTI.0000000000000079
      OpenUrlCrossRefPubMed
    9. ↵
      2. Swift AJ ,
      3. Rajaram S ,
      4. Condliffe R , et al
      . Diagnostic accuracy of cardiovascular magnetic resonance imaging of right ventricular morphology and function in the assessment of suspected pulmonary hypertension results from the ASPIRE registry. J Cardiovasc Magn Reson 2012;14:40.doi:10.1186/1532-429X-14-40 pmid:http://www.ncbi.nlm.nih.gov/pubmed/22720870
      OpenUrlCrossRefPubMed
    10. ↵
      2. Johns CS ,
      3. Kiely DG ,
      4. Rajaram S , et al
      . Diagnosis of pulmonary hypertension with cardiac MRI: derivation and validation of regression models. Radiology 2019;290:61–8.doi:10.1148/radiol.2018180603 pmid:http://www.ncbi.nlm.nih.gov/pubmed/30351254
      OpenUrlPubMed
    11. ↵
      2. Rajaram S ,
      3. Swift AJ ,
      4. Capener D , et al
      . Comparison of the diagnostic utility of cardiac magnetic resonance imaging, computed tomography, and echocardiography in assessment of suspected pulmonary arterial hypertension in patients with connective tissue disease. J Rheumatol 2012;39:1265–74.doi:10.3899/jrheum.110987 pmid:http://www.ncbi.nlm.nih.gov/pubmed/22589263
      OpenUrlAbstract/FREE Full Text
    12. ↵
      2. Hagger D ,
      3. Condliffe R ,
      4. Woodhouse N , et al
      . Ventricular mass index correlates with pulmonary artery pressure and predicts survival in suspected systemic sclerosis-associated pulmonary arterial hypertension. Rheumatology 2009;48:1137–42.doi:10.1093/rheumatology/kep187 pmid:http://www.ncbi.nlm.nih.gov/pubmed/19605369
      OpenUrlCrossRefPubMedWeb of Science
    13. ↵
      2. Badagliacca R ,
      3. Poscia R ,
      4. Pezzuto B , et al
      . Right ventricular concentric hypertrophy and clinical worsening in idiopathic pulmonary arterial hypertension. J Heart Lung Transplant 2016;35:1321–9.doi:10.1016/j.healun.2016.04.006 pmid:http://www.ncbi.nlm.nih.gov/pubmed/27241861
      OpenUrlPubMed
    14. ↵
      2. Goh ZM ,
      3. Alabed S ,
      4. Shahin Y , et al
      . Right ventricular adaptation assessed using cardiac magnetic resonance predicts survival in pulmonary arterial hypertension. JACC Cardiovasc Imaging 2021;14:1271–2.doi:10.1016/j.jcmg.2020.10.008 pmid:http://www.ncbi.nlm.nih.gov/pubmed/33221232
      OpenUrlPubMed
    15. ↵
      2. Hurdman J ,
      3. Condliffe R ,
      4. Elliot CA , et al
      . ASPIRE registry: assessing the spectrum of pulmonary hypertension identified at a referral centre. Eur Respir J 2012;39:945–55.doi:10.1183/09031936.00078411 pmid:http://www.ncbi.nlm.nih.gov/pubmed/21885399
      OpenUrlAbstract/FREE Full Text
    16. ↵
      2. Galiè N ,
      3. Humbert M ,
      4. Vachiery J-L , et al
      . 2015 ESC/ERS guidelines for the diagnosis and treatment of pulmonary hypertension. Eur Respir J 2015;46:903–75.doi:10.1183/13993003.01032-2015
      OpenUrlAbstract/FREE Full Text
    17. ↵
      2. Maceira AM ,
      3. Prasad SK ,
      4. Khan M , et al
      . Reference right ventricular systolic and diastolic function normalized to age, gender and body surface area from steady-state free precession cardiovascular magnetic resonance. Eur Heart J 2006;27:2879–88.doi:10.1093/eurheartj/ehl336 pmid:http://www.ncbi.nlm.nih.gov/pubmed/17088316
      OpenUrlCrossRefPubMedWeb of Science
    18. ↵
      2. Maceira AM ,
      3. Prasad SK ,
      4. Khan M , et al
      . Normalized left ventricular systolic and diastolic function by steady state free precession cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2006;8:417–26.doi:10.1080/10976640600572889 pmid:http://www.ncbi.nlm.nih.gov/pubmed/16755827
      OpenUrlCrossRefPubMedWeb of Science
    19. ↵
      2. Kawut SM ,
      3. Lima JAC ,
      4. Barr RG , et al
      . Sex and race differences in right ventricular structure and function. Circulation 2011;123:2542–51.doi:10.1161/CIRCULATIONAHA.110.985515
      OpenUrlAbstract/FREE Full Text
    20. ↵
      2. Sanz J ,
      3. García-Alvarez A ,
      4. Fernández-Friera L , et al
      . Right ventriculo-arterial coupling in pulmonary hypertension: a magnetic resonance study. Heart 2012;98:238–43.doi:10.1136/heartjnl-2011-300462 pmid:http://www.ncbi.nlm.nih.gov/pubmed/21917658
      OpenUrlAbstract/FREE Full Text
    21. ↵
      2. Vanderpool RR ,
      3. Pinsky MR ,
      4. Naeije R , et al
      . RV-pulmonary arterial coupling predicts outcome in patients referred for pulmonary hypertension. Heart 2015;101:37–43.doi:10.1136/heartjnl-2014-306142 pmid:http://www.ncbi.nlm.nih.gov/pubmed/25214501
      OpenUrlAbstract/FREE Full Text
    22. ↵
      2. Vonk Noordegraaf A ,
      3. Westerhof BE ,
      4. Westerhof N
      . The Relationship Between the Right Ventricle and its Load in Pulmonary Hypertension. J Am Coll Cardiol 2017;69:236–43.doi:10.1016/j.jacc.2016.10.047 pmid:http://www.ncbi.nlm.nih.gov/pubmed/28081831
      OpenUrlFREE Full Text
    23. ↵
      2. Ghio S ,
      3. Pazzano AS ,
      4. Klersy C , et al
      . Clinical and prognostic relevance of echocardiographic evaluation of right ventricular geometry in patients with idiopathic pulmonary arterial hypertension. Am J Cardiol 2011;107:628–32.doi:10.1016/j.amjcard.2010.10.027 pmid:http://www.ncbi.nlm.nih.gov/pubmed/21184990
      OpenUrlCrossRefPubMed
    24. ↵
      2. Grapsa J ,
      3. Tan TC ,
      4. Nunes MCP , et al
      . Prognostic impact of right ventricular mass change in patients with idiopathic pulmonary arterial hypertension. Int J Cardiol 2020;304:172–4.doi:10.1016/j.ijcard.2020.01.052 pmid:http://www.ncbi.nlm.nih.gov/pubmed/32008848
      OpenUrlPubMed
    25. ↵
      2. Badagliacca R ,
      3. Poscia R ,
      4. Pezzuto B , et al
      . Prognostic relevance of right heart reverse remodeling in idiopathic pulmonary arterial hypertension. J Heart Lung Transplant 2018;37:195–205.doi:10.1016/j.healun.2017.09.026
      OpenUrl
    26. ↵
      2. Freed BH ,
      3. Gomberg-Maitland M ,
      4. Chandra S , et al
      . Late gadolinium enhancement cardiovascular magnetic resonance predicts clinical worsening in patients with pulmonary hypertension. J Cardiovasc Magn Reson 2012;14:11.doi:10.1186/1532-429X-14-11 pmid:http://www.ncbi.nlm.nih.gov/pubmed/22296860
      OpenUrlCrossRefPubMed
    27. ↵
      2. Benza RL ,
      3. Miller DP ,
      4. Gomberg-Maitland M , et al
      . Predicting survival in pulmonary arterial hypertension. Circulation 2010;122:164–72.doi:10.1161/CIRCULATIONAHA.109.898122
      OpenUrlAbstract/FREE Full Text
    28. ↵
      2. D'Alonzo GE ,
      3. Barst RJ ,
      4. Ayres SM , et al
      . Survival in patients with primary pulmonary hypertension. results from a national prospective registry. Ann Intern Med 1991;115:343–9.doi:10.7326/0003-4819-115-5-343 pmid:http://www.ncbi.nlm.nih.gov/pubmed/1863023
      OpenUrlCrossRefPubMedWeb of Science
    29. ↵
      2. Raymond RJ ,
      3. Hinderliter AL ,
      4. Willis PW , et al
      . Echocardiographic predictors of adverse outcomes in primary pulmonary hypertension. J Am Coll Cardiol 2002;39:1214–9.doi:10.1016/S0735-1097(02)01744-8 pmid:http://www.ncbi.nlm.nih.gov/pubmed/11923049
      OpenUrlFREE Full Text
    30. ↵
      2. Nickel N ,
      3. Golpon H ,
      4. Greer M , et al
      . The prognostic impact of follow-up assessments in patients with idiopathic pulmonary arterial hypertension. Eur Respir J 2012;39:589–96.doi:10.1183/09031936.00092311 pmid:http://www.ncbi.nlm.nih.gov/pubmed/21885392
      OpenUrlAbstract/FREE Full Text
    31. ↵
      2. Condon DF ,
      3. Nickel NP ,
      4. Anderson R , et al
      . The 6th world Symposium on pulmonary hypertension: what's old is new. F1000Res 2019;8. doi:doi:10.12688/f1000research.18811.1. [Epub ahead of print: 19 06 2019].pmid:http://www.ncbi.nlm.nih.gov/pubmed/31249672

    Supplementary materials

    • Supplementary Data

      This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

    Footnotes

    • Twitter @HEARTinMagnet, @AndyJSwift

    • Contributors ZMG is responsible for the overall content as guarantor and contributed to conceptualisation, data collection and analysis, visualisation of results with figures and tables, writing the original draft, and review and editing of the manuscript. NB contributed to data analysis and assisted in writing the original draft. SA, KD, CSJ and MS contributed to data collection and review and editing of the manuscript. YS, AL, DC, FA, JW and RG contributed to review and editing of the manuscript. AMKR, RC and DGK contributed to data collection, review and editing of the manuscript, and supervision. PG and AART contributed to review and editing of the manuscript and supervision. RAL contributed to conceptualisation and review and editing of the manuscript. AS contributed to conceptualisation, funding acquisition, review and editing of the manuscript, and supervision. All authors edited and approved the final manuscript.

    • Funding The study was funded by Wellcome Trust (205188/Z/16/Z) and is supported by the MRC Imaging Infrastructure Award (MR/M008894/1).

    • Competing interests None declared.

    • Patient and public involvement Patients and/or the public were involved in the design, or conduct, or reporting, or dissemination plans of this research. Refer to the Methods section for further details.

    • Provenance and peer review Not commissioned; externally peer reviewed.

    • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

    Linked Articles