Introduction

The long-term registry of the European Association of Cardiology reports 40% of the heart failure (HF) population to be considered either amongst mildly reduced or preserved ejection fraction (HFmrEF/HFpEF) patients1. Notwithstanding the revolutionary introduction of SGLT-2 Inhibitors in HFpEF2 or an interatrial shunt device (IASD) for congestion relief associated with symptom severity3,4, all available strategies are united by their lack of mortality reduction. An underlying reason may be late therapeutic intervention in cardiac remodelling5,6,7 with potentially limited efficacy at later disease stages. Despite HFpEF being generally considered to be associated with slower disease progression and better survival1 available evidence indicates the presence of early remodelling processes and development of multiorgan disease including pulmonary vascular disease (PVD)8. Indeed, only patients without latent PVD as defined by a pulmonary vascular resistance (PVR) of 1.74 Wood units during exercise-stress right heart catheterisation (RHC) showed beneficial effects linked to IASD implantation9. This may potentially arise from preserved right ventricular (RV) function during early stages of disease only10.

We hypothesised that state-of-the-art cardiovascular magnetic resonance (CMR)11,12 imaging would identify signs of adverse remodelling in the early stage of HFpEF and discriminate pathophysiological differences between HFpEF, HFpEF treated with IASD and non-cardiac dyspnoea (NCD). Consequently, we initiated a follow-up CMR study of patients included in the HFpEF stress trial, who initially presented with exertional dyspnoea and had undergone RHC and CMR for detection and classification of HF to detect subtle changes in cardiac physiology.

Methods

The present study represent the clinical follow-up of the HFpEF Stress Trial (NCT03260621, first posted date 24/08/2017)13, Fig. 1. Briefly, the HFpEF Stress Trial prospectively recruited 75 patients with exertional dyspnoea (NYHA class ≥ II) and echocardiographic signs of diastolic dysfunction (E/e’ >8, EF > 50%) between 08/2017 and 09/2019. Exclusion criteria for study participation have been reported previously 13 and comprised known cardio-pulmonary disease associated with dyspnoea as well as common contraindications for CMR imaging14. At baseline, all patients underwent RHC as well as echocardiographic and CMR imaging at rest and during exercise-stress at an average heart rate of 100–110 beats/minute at a revolution of 50–60 rounds/minute on bicycle ergometry. NCD and HFpEF (PCWP at rest ≥ 15 mmHg and/or during exercise-stress ≥ 25mmHg on RHC) patients were approached for a follow-up survey between 06 and 11/2021. Follow-up examinations included laboratory testing, echocardiography at rest as well as CMR imaging at rest and during exercise-stress. Additionally, telephone interviews including review of medical records were conducted 4 years after baseline recruitment for the assessment of cardiovascular events (CVE)15. After initial study participation, some HFpEF patients were recruited to the Reduce LAP-HF II trial9 to receive an IASD. For overall clarity, these HFpEF patients are referred to as IASD patients although at baseline (initial study participation) the IASD had not yet been implanted.

Fig. 1
figure 1

Study flow-chart.

CMR imaging

The follow-up scan was conducted on the identical clinical 3.0 Tesla Magnetom Skyra MRI scanner (Siemens Healthcare, Erlangen, Germany).

Conventional imaging at rest was performed using steady state free precession (bSSFP) cine sequences for the acquisition of long axis (LAX) 2-, 3- and 4 chamber views (Ch) as well as a short axis (SAX) stack. Dedicated commercially available software Qmass/QStrain module provided by Medis, Medical Imaging Systems, Leiden, Netherlands was used for post-processing and comprised the following analyses, Fig. 2: Volumetric-based analyses consisted of left ventricular (LV) mass, LV/RV end-diastolic/systolic and stroke (EDV/ESV/SV) volumes as well as associated EF. Feature-tracking (FT) deformation was performed on all 4 cardiac chambers for the assessment of LV global longitudinal (GLS) and circumferential (GCS) strain. Left atrial (LA) function was classified according to reservoir function Es (collection of venous return), passive conduit function Ee (early ventricular filling) and active booster pump function Ea (late active augmentation of ventricular filling)16,17,18,19.

Fig. 2
figure 2

Cardiac functional quantification. Assessment of left ventricular global longitudinal strain (GLS), biventricular long axis strains (LAS) as well as left atrial (LA) strain on long axis chamber view (Ch) orientations. Ventricular volumes were acquired from a short axis (SAX) stack covering the entire ventricle (exemplary shown for 3 slices) which were used for global circumferential stain (GCS) evaluation.

Real-Time free-breathing imaging was conducted at rest and during exercise-stress employing a strongly undersampled radial encoding scheme on a bSSFP sequence as described previously20. Cine sequences were acquired over several heart beats for LAX 2/4 Ch and a SAX stack. Post-processing was performed using OsiriX MD (Pixmeo SARL, CH-1233 Bernex, Switzerland), Fig. 2: Long axis strains (LAS) were assessed on LV/RV/LA cardiac chambers measuring the distance between the middle of a line connecting the origins of the mitral or tricuspid leaflets and epicardial apical LV/RV border or most distal wall of the LA respectively. LAS was calculated as follows21,22:

$$LV/RV LAS=\frac{Length_\text{enddiastole}-Length_\text{endsystole}}{Length_\text{enddiastole}}*100$$
$$LA \;LAS=\frac{Length_\text{endsystole}-Length_\text{enddiastole}}{Length_\text{endsystole}}*100$$

Statistical analyses

Continuous variables are reported as median with associated interquartile ranges (IQR) and were compared using the Mann-Whitney U test if independent or the Wilcoxon signed-rank test if dependent. Overall differences in cardiovascular risk factors between groups were tested using the Kruskal–Wallis test. Predictors for cardiovascular events were evaluated using Cox regression models. A 2-tailed p-value < 0.05 was considered statistically significant. Calculations were performed using SPSS version 27.0 (IBM, Armonk, New York, USA) and MedCalc version 20.027 (MedCalc Software bvba, Ostend, Belgium).

Results

Study population

The follow-up population consisted of 10 NCD and 16 HFpEF patients, 6 of which had received an IASD following initial HFpEF diagnosis, Fig. 1. At baseline, there were no differences in cardiovascular risk factors including body mass index (p = 0.347), diabetes (p = 0.354), hypertension (p = 0.530), hyperlipidemia (p = 0.897), nicotine (p = 0.138) and sleep apnoea (p = 0.732). The follow-up scan was conducted in median 2.94 years (IQR 2.37, 3,27) after the initial baseline scan. At baseline laboratory testing revealed significantly increased NTproBNP in HFpEF who were (p = 0.002) or were not (p = 0.004) going to receive an IASD. A significant increase in NTproBNP from baseline to follow-up in NCD patients (p = 0.013) paralleled by a numerical increase in IASD patients (p = 0.917) resulted in maintained statistical difference at follow-up comparing NCD to IASD (p = 0.022) but not NCD to HFpEF (p = 0.105). There were no differences in echocardiographic findings for E/e’ and TAPSE at baseline or follow-up, Tables 1, 2, 3, 4 and 5.

Table 1 Cardiovascular magnetic resonance imaging baseline.

Changes from baseline to follow-up in cardiac function

Baseline

At baseline, there were no differences in LV cardiac function comparing NCD, HFpEF and IASD patients. Compared to NCD, IASD patients showed significantly decreased LA LAS (p < 0.001) whilst there was a strong statistical trend in HFpEF (p = 0.052). This was paralleled by statistical trends for decreased LA Es in HFpEF (p = 0.075) and IASD (p = 0.073). HFpEF patients showed increased resting RV LAS compared to NCD (p = 0.015) and IASD (p = 0.011), Table 1.

Baseline vs. follow-up

Changes in cardiac function from baseline to follow-up are reported in Tables 2, 3 and 4; Fig. 3. Comparing baseline to follow-up examinations, in HFpEF, there was a significant deterioration of RV LAS at rest and during exercise-stress (p = 0.007 for both). In contrast, this was not observed in NCD with the only functional change being an improvement in LA LAS during exercise-stress (p = 0.028). There were no functional alterations in HFpEF patients who had undergone IASD implantation including preserved RV LAS.

Table 2 Cardiovascular magnetic resonance imaging follow-up.
Table 3 Cardiovascular magnetic resonance imaging follow-up.
Table 4 Cardiovascular magnetic resonance imaging follow-up.
Table 5 Cardiovascular magnetic resonance imaging follow-up.
Fig. 3
figure 3

Change in right ventricular long axis strain.

Follow-up

At follow-up, compared to NCD, LA LAS during exercise-stress was impaired in IASD patients (p = 0.042) whilst HFpEF patients showed a strong statistical trend (p = 0.063), Table 5.

Outcome

Within both the HFpEF (2x tachyarrhythmia (TAA), 1x ICD) and NCD (1x TAA, 2xPTCA) group, 3 cardiovascular events were noted, in the IASD group 2 events (2xTAA). Neither RV function at follow-up as appreciated from RV LAS at rest (HR 0.99, 95% CI 0.87–1.13, p = 0.884) and during exercise-stress (HR 0.96, 95% CI 0.88–1.06, p = 0.441) nor the absolute change from baseline to follow-up for RV LAS at rest (HR 0.96, 95% CI 0.86–1.09, p = 0.544) or during exercise-stress (HR 1.00, 95% CI 0.93–1.07, p = 0.893) were associated with CVE 4 years following initial study participation. In contrast, LA function at follow-up was associated with CVE including FT Es/Ea and LA LAS at rest and during exercise-stress, Table 6.

Table 6 Cardiac function and events.

Discussion

The present results from the follow-up scans of the HFpEF-Stress Trial provide further insights into the course of pathophysiological alterations in HFpEF. First, HFpEF patients showed a significant decline in RV longitudinal deformation at rest and during exercise-stress. In contrast NCD or IASD patients did not show cardiac functional deterioration from baseline to follow-up. Second, NCD patients on the other hand showed improvement in LA function during exercise-stress. Last, LA but not RV function was associated with cardiovascular events 4 years after baseline participation.

In patients with chronic dyspnoea, exercise-induced pulmonary hypertension (PH) is – in the absence of PH at rest - associated with worse outcome. This finding emerged independent of both pre- and post-capillary contributions23. Elevated PCWP in HFpEF may lead to PVD and increased PVR24 which in turn is associated with impaired RV contractility10. Indeed, beyond LV dysfunction, impaired RV reserve during exercise is a distinct feature in HFpEF25. Recent results from the Reduce-LAP trials highlight that patients with latent PVD show worse outcome following IASD implantation8. This can at least in parts be attributed to impaired RV functional reserve challenged by volume overload due to shunt flow. Impaired RV functional reserve subsequently results in reduced LA and LV filling leading to reduced cardiac output10.

At baseline, HFpEF patients showed increased RV LAS compared to NCD or IASD. The present follow-up demonstrates a decrease in RV deformation both at rest and during exercise-stress from baseline to follow-up in HFpEF but not NCD or IASD. Indeed, at baseline, HFpEF patients showed higher PVR compared to HFpEF patients selected for IASD. Consequently, increased RV LAS at baseline may be a sign of early compensation for latent PVD with deterioration during disease progression.

Intriguingly, these findings were made by longitudinal deformation only, whilst volumetric changes were not observed. This again may highlight the sensitivity of longitudinal deformation over volumetric analysis to uncover masked pathophysiological changes of the heart10,26. However, during later stages of disease in overt HFpEF right ventricular deterioration becomes apparent on volumetric analyses as well27. Noteworthy, a significant deterioration of RV longitudinal deformation was not observed in the HFpEF IASD subgroup. Reduction of PCWP by shunt volume may have attenuated progress in latent PVD and PVR. Indeed, in IASD, there was a statistical trend for deterioration of RV LAS during exercise-stress only. This may further indicate that progress in RV functional deterioration was attenuated by IASD implantation becoming apparent with a statistical trend only by exercise-stress testing. Subgroup analyses from the Reduce LAP HF II trial demonstrated that only patients in the absence of latent PVD may benefit from IASD implantation8. The finding of RV functional deterioration in HFpEF as opposed to IASD may thus also be influenced by the difference in PVR at baseline. Strikingly, RV LAS but not TAPSE quantified functional deterioration or RV function during follow-up. On the one hand this may root in methodology with acoustic windows tending to be more limited in patients presenting with exertional dyspnoea e.g. due to obesity28. Indeed, CMR has a class I recommendation in HF patients with poor acoustic windows1. Furthermore, visualisation of the RV tends to be more challenging compared to the LV. On the other hand, RV LAS may emerge superior for RV functional quantification. Echocardiographic TAPSE showed distinctly lower correlation to CMR derived RV EF compared to RV GLS29. Further data indicates superiority of strain for prognostic evaluation compared to TAPSE including following inferior acute myocardial infarction30 or aortic valve replacement31,32. In line, RV LAS added incremental value to TAPSE in HCM. This may indicate that both measurements of RV function are rather complementary than interchangeable33.

Notwithstanding, LA but not RV function was associated with cardiovascular events. First, most of the events in the HFpEF and IASD group were linked to cardiac congestion induced by tachyarrhythmia. In contrast 2 out of 3 events in the NCD group were linked to coronary artery disease. In that regard, association of LA rather than RV function can - in parts - be interpreted due to the nature of cardiovascular events. Secondly, RV systolic dysfunction as RVEF < 47% has been reported to be associated with death and/or heart failure hospitalization34. In the present follow-up population, none presented with an RVEF below 47%. Lastly, more than half of all HFpEF patients had been identified by exercise-stress thresholds only13. Consequently, an average of 3 years between baseline and follow-up scan as well as a total of 4 years follow-up for event identification from baseline recruitment may be insufficient for full evaluation of the long-term impact of RV deterioration and heart failure hospitalisation/mortality.

Study limitations

Conclusions from the rescan follow-up of the monocentric HFpEF Stress Trial are based on limited patient numbers. Therefore, conclusions made must be considered hypothesis-generating sparking further research rather than final conclusions for the pathophysiology of HFpEF. Especially the low number of patients with IASD limits findings to a hypothesis-generating nature. Notwithstanding, identifying significant statistical changes within this small population underlines their prominence.

Conclusion

RV functional deterioration may be a pathophysiological feature of progress in early-stage HFpEF as opposed to NCD and HFpEF treated with IASD. Longitudinal deformation imaging may emerge more sensitive to unmask early changes as opposed to volumetric assessments. Further larger multi-centre studies are warranted to verify these hypothesis-generating results.