Literature DB >> 33318610

Prevalence, functional characteristics, and clinical significance of right ventricular involvement in patients with hypertrophic cardiomyopathy.

Jiwon Seo1, Yoo Jin Hong2, Young Jin Kim2, Purevjargal Lkhagvasuren1, Iksung Cho1, Chi Young Shim1, Jong-Won Ha1, Geu-Ru Hong3.   

Abstract

We sought to investigate the prevalence, functional characteristics, and clinical significance of right ventricular (RV) involvement in patients with hypertrophic cardiomyopathy (HCM). A total of 256 patients with HCM who underwent both cardiac magnetic resonance (CMR) imaging and transthoracic echocardiography within 6 months of each other were retrospectively analysed. RV involvement was defined as an increased RV wall thickness ≥ 7 mm on CMR in the segments of the RV free wall. Primary outcomes were defined as the composite of all-cause death, heart transplantation, and unplanned cardiovascular admission. Thirty-seven (14.4%) patients showed RV involvement. Patients with RV involvement showed a significantly higher left ventricular (LV) maximal wall thickness and left atrial volume index. Multivariate Cox model revealed that RV involvement was independently associated with primary outcomes (HR: 2.30, p = 0.024). In a subgroup analysis of patients with speckle tracking echocardiography (n = 190), those with RV involvement had significantly more impaired RV strain, which was independently associated with primary outcomes. RV involvement in patients with HCM correlated with more advanced LV structure and biventricular dysfunction, suggesting an indicator of severe HCM. RV involvement and impaired RV strain have a prognostic value related to clinical adverse events in patients with HCM.

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Year:  2020        PMID: 33318610      PMCID: PMC7736330          DOI: 10.1038/s41598-020-78945-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Many studies on hypertrophic cardiomyopathy (HCM) have focused on the left ventricle (LV). Maximal left ventricular wall thickness, left ventricular outflow tract (LVOT) obstruction, LV apical aneurysm, and late gadolinium enhancement (LGE) on cardiac magnetic resonance (CMR) imaging are suggested risk factors for sudden cardiac death (SCD) in HCM[1-3]. On the other hand, the right ventricle (RV) relatively has long been neglected, perhaps because RV is not considered a major risk factor for SCD related to HCM, and it is difficult to measure RV thickness accurately by transthoracic echocardiography (TTE). A few studies have recently reported the prevalence and clinical significance of RV involvement using CMR imaging[4,5] and clinical/subclinical RV dysfunction in patients with HCM[6,7]. Although these results suggest that the presence or absence of RV involvement may be important for the current disease status and clinical prognosis in patients with HCM, the prevalence, structural and functional characteristics, and prognostic significance of RV involvement in patients with HCM are still ambiguous. Therefore, the objectives of this study were to identify the prevalence of RV involvement in patients with HCM using CMR imaging and to investigate whether RV involvement and RV dysfunction have prognostic significance in determining clinical outcomes.

Results

Prevalence and baseline characteristics

Among the 256 patients with HCM, 37 (14.4%) with RV involvement were identified by CMR. Substantial interobserver agreement was achieved for the evaluation of RV involvement (kappa value, 0.89). Baseline characteristics of the study population are presented in Table 1. Patients’ mean age was 53.1 ± 14.2 years, 180 (70.3%) were men, and 42 (16.4%) were diagnosed with atrial fibrillation (AF). Patients with RV involvement had a higher percentage of AF and had more frequently received an implantable cardioverter defibrillator (ICD) than those without RV involvement. Patients with RV involvement showed a significantly higher LVMWT, higher left atrial volume index (LAVI) and higher E/e’ than those without RV involvement. CMR imaging data showed that the LVMWT and LV end systolic volumes were significantly higher in patients with RV involvement than in those without. RV LGE was also predominantly detected in patients with RV involvement.
Table 1

Baseline characteristics of the study population.

Total patients (n = 256)No RV involvement (n = 219)RV involvement (n = 37)P value*
Demographic and clinical data
Age, year53.1 ± 14.253.4 ± 14.351.5 ± 14.10.454
Male sex, n (%)180 (70.3)150 (68.8)29 (78.4)0.334
BMI, kg/m224.8 ± 3.224.9 ± 3.224.1 ± 3.30.153
Hypertension, n (%)189 (73.8)164 (74.9)25 (67.6)0.463
Diabetes mellitus, n (%)48 (18.8)40 (18.3)8 (21.6)0.798
Dyslipidemia, n (%)87 (34.0)70 (32.0)17 (45.9)0.141
Atrial fibrillation, n (%)42 (16.4)30 (13.7)12 (32.4)0.009
Family history of SCD, n (%)40 (15.6)33 (15.1)7 (18.9)0.725
ICD, n (%)21 (8.2)13 (5.9)8 (21.6)0.004
Syncope, n (%)34 (13.3)25 (11.4)9 (24.3)0.060
Beta blocker, n (%)127 (49.6)110 (50.2)17 (45.9)0.761
Calcium channer blocker, n (%)54 (21.1)43 (19.6)11 (29.7)0.240
RAS blocker, n (%)111 (43.4)102 (46.6)9 (24.3)0.019
Aspirin, n (%)62 (24.2)49 (22.4)13 (35.1)0.142
Statin, n (%)83 (32.4)65 (29.7)17 (45.9)0.077
Echocardiographic data
LVEF, %68.6 ± 8.768.9 ± 8.266.8 ± 11.00.277
LAVI, mL/m241.6 ± 15.940.3 ± 14.849.1 ± 20.00.014
RV systolic pressure, mm Hg27.0 ± 7.026.6 ± 6.629.3 ± 8.80.080
E/e’15.4 ± 7.015.1 ± 7.117.5 ± 6.50.051
LV maximal thickness, mm21.2 ± 4.720.6 ± 4.324.6 ± 5.2 < .001
RV thickness, mm4.4 ± 1.44.1 ± 0.95.8 ± 2.5 < .001
LVOT obstruction, n (%)62 (24.2)52 (23.7)10 (27.0)0.823
Cardiac MR data
LV maximal thickness, mm21.6 ± 5.221.2 ± 5.023.8 ± 5.70.006
RV maximal thickness, mm5.4 ± 1.84.8 ± 0.69.0 ± 2.2 < .001
LVEDV, ml143.8 ± 34.2143.6 ± 33.3144.9 ± 39.60.842
LVESV, ml48.1 ± 19.746.9 ± 19.355.6 ± 21.20.017
LVEF, %67.5 ± 8.868.3 ± 8.262.6 ± 10.3 < .001
RVEDV, ml131.3 ± 66.5131.8 ± 70.2128.4 ± 37.90.681
RVESV, ml50.8 ± 20.550.8 ± 20.350.9 ± 21.50.983
RVEF, %61.2 ± 8.961.2 ± 8.761.0 ± 10.50.896
LV LGE, n (%)236 (92.2)199 (90.9)37 (100.0)0.113
RV LGE, n (%)26 (10.2)5 (2.3)21 (56.8) < .001

RV right ventricle, LV left ventricle, BMI body mass index, SCD sudden cardiac death, RAS renin–angiotensin system, LVEF LV ejection fraction, LAVI left atrial volume index, LVOT left ventricular outflow tract, LS longitudinal strain, GLS global LS, MR magnetic resonance, EDV end diastolic volume, ESV end systolic volume, LGE late gadolinium enhancement.

*P value between patients with RV involvement and without RV involvement.

Baseline characteristics of the study population. RV right ventricle, LV left ventricle, BMI body mass index, SCD sudden cardiac death, RAS renin–angiotensin system, LVEF LV ejection fraction, LAVI left atrial volume index, LVOT left ventricular outflow tract, LS longitudinal strain, GLS global LS, MR magnetic resonance, EDV end diastolic volume, ESV end systolic volume, LGE late gadolinium enhancement. *P value between patients with RV involvement and without RV involvement.

Clinical outcomes

During the follow-up period, there were 33 primary outcomes, including all-cause death (n = 3), heart transplantation (n = 1), and unplanned cardiovascular admission (n = 29). Two patients had sudden cardiac death, and one patient died from lung cancer. Among the 29 cardiovascular hospitalizations, 10 were admitted for heart failure, 5 had ongoing and recurrent angina, 5 were admitted for atrial tachyarrhythmia, 2 were admitted for ventricular tachyarrhythmia, 4 had a sudden collapse, and 3 had stroke. Table 2 shows univariate and multivariate Cox proportional hazard models for the primary outcomes in total patient population (n = 256). In univariate Cox proportional hazard analysis, the presence of AF, a history of unexplained syncope, increased LAVI, elevated RVSP, higher E/e’, and lower LVEF measured by CMR were significantly associated with a higher risk of primary outcomes. In multivariate analysis, the presence of AF, a history of unexplained syncope, higher E/e’, lower LVEF measured by CMR, and the presence of RV involvement were independently associated with primary outcomes. Figure 1A shows Kaplan–Meier curves for primary outcome-free survival according to the presence of RV involvement. There was a significantly higher probability of primary outcomes in patients with RV involvement (p < 0.001). In a subgroup analysis of 190 patients with analysable speckle tracking echocardiography, 79 (41.6%) had impaired RV free wall LS (> − 20%) as shown in Table 3. Impaired RV free wall LS (hazard ratio [HR] = 3.07, 95% confidence interval [CI] = 1.16–8.09, p = 0.023), higher E/e’, and lower LVEF were independent factors associated with primary outcomes (Table 4). Kaplan–Meier curves for primary outcome-free survival, according to RV free wall LS, revealed that the most deleterious primary outcomes were in patients with impaired RV free wall LS, as shown in Fig. 1B.
Table 2

Univariate and multivariate Cox proportional hazard models for primary outcomes in total study population (n = 256).

VariablesUnivariateMultivariate
HR (95% CI)P valueHR (95% CI)P value
Age1.02 (0.99–1.05)0.172
Male sex0.72 (0.35–1.47)0.367
Atrial fibrillation4.45 (2.24–8.83) < .0012.25 (1.01–5.01)0.048
Familiar history of SCD0.32 (0.08–1.33)0.117
Syncope2.55 (1.18–5.50)0.0172.31 (1.05–5.15)0.038
LAVI1.03 (1.01–1.04)0.0021.00 (0.98–1.02)0.906
RVSP1.08 (1.03–1.13)0.0011.02 (0.97–1.07)0.479
E/e’1.05 (1.02–1.08) < .0011.05 (1.01–1.09)0.012
LVOT obstruction0.93 (0.42–2.07)0.858
LVEF0.93 (0.89–0.96) < .0010.94 (0.91–0.98)0.005
RV involvement4.13 (2.05–8.32) < .0012.30 (1.10–4.82)0.024
LV maximal wall thickness0.97 (0.90–1.05)0.477
LVESV1.01 (0.99–1.03)0.311
RV LGE2.06 (0.89–4.77)0.091

SCD sudden cardiac death, LAVI left atrial volume index, RVSP right ventricular systolic pressure, LVOT left ventricular outflow tract, RV right ventricle, LV left ventricle, LVEF LV ejection fraction, CMR cardiac magnetic resonance, LVESV left ventricular end systolic volume, LGE late gadolinium enhancement.

Figure 1

Representative case of HCM with RV involvement. (A) Significant hypertrophy of the RV apex (9.2 mm) and (B) late gadolinium enhancement in the anteroseptal and inferoseptal wall were seen. (C,D) Impaired right ventricular two-dimensional speckle-tracking strain pattern is seen in the patient.

Table 3

Comparison of the left and right ventricular longitudinal strain values between patients with RV involvement and those without RV involvement (n = 190).

Longitudinal strainTotal patients (n = 190)No RV involvement (n = 160)RV involvement (n = 30)P-value*
LV GLS, %− 11.7 ± 4.8− 12.2 ± 4.9− 9.5 ± 3.30.001
RV GLS, %− 18.6 ± 5.5− 19.4 ± 5.3− 14.5 ± 5.0 < .001
RV septal wall LS, %− 12.9 ± 6.4− 13.5 ± 6.1− 10.0 ± 7.20.006
RV free wall LS, %− 21.8 ± 7.1− 22.9 ± 6.9− 16.4 ± 5.1 < .001
RV free wall LS > − 20%, n (%)79 (41.6%)55 (34.6%)24 (77.4%) < .001

RV right ventricle, LV left ventricle, LS longitudinal strain, GLS global LS.

*P value between patients with RV involvement and patients without RV involvement.

Table 4

Univariate and multivariate Cox proportional hazard model for primary outcomes in patients with strain echocardiography (n = 190).

VariablesUnivariateMultivariate
HR (95% CI)P valueHR (95% CI)P value
Age1.01 (0.98–1.04)0.622
Male sex0.58 (0.26–1.27)0.173
Atrial fibrillation5.85 (2.37–12.85) < .0012.15 (0.76–6.12)0.151
Syncope2.80 (1.16–6.74)0.0224.03 (1.54–10.56)0.005
Familiar history of SCD0.21 (0.03–1.58)0.131
LAVI1.03 (1.01–1.05)0.0100.99 (0.99–1.02)0.245
RVSP1.08 (1.03–1.13)0.0031.06 (0.99–1.13)0.077
E/e’1.06 (1.02–1.09) < .0011.05 (1.00–1.11)0.037
Obstructive type0.88 (0.39–2.00)0.761
LVEF0.93 (0.89–0.97) < .0010.95 (0.91–0.99)0.022
RV free wall LS > − 20%4.03 (1.68–9.67)0.0023.07 (1.16–8.09)0.023
LV maximal thickness0.97 (0.90–1.05)0.477
LVESV1.01 (0.99–1.02)0.630
RV LGE1.82 (0.68–4.88)0.232

SCD sudden cardiac death, LAVI left atrial volume index, RVSP right ventricular systolic pressure, RV right ventricle, LV left ventricle, LVEF left ventricular ejection fraction, CMR cardiac magnetic resonance, LVESV left ventricular end systolic volume, LGE late gadolinium enhancement.

Univariate and multivariate Cox proportional hazard models for primary outcomes in total study population (n = 256). SCD sudden cardiac death, LAVI left atrial volume index, RVSP right ventricular systolic pressure, LVOT left ventricular outflow tract, RV right ventricle, LV left ventricle, LVEF LV ejection fraction, CMR cardiac magnetic resonance, LVESV left ventricular end systolic volume, LGE late gadolinium enhancement. Representative case of HCM with RV involvement. (A) Significant hypertrophy of the RV apex (9.2 mm) and (B) late gadolinium enhancement in the anteroseptal and inferoseptal wall were seen. (C,D) Impaired right ventricular two-dimensional speckle-tracking strain pattern is seen in the patient. Comparison of the left and right ventricular longitudinal strain values between patients with RV involvement and those without RV involvement (n = 190). RV right ventricle, LV left ventricle, LS longitudinal strain, GLS global LS. *P value between patients with RV involvement and patients without RV involvement. Univariate and multivariate Cox proportional hazard model for primary outcomes in patients with strain echocardiography (n = 190). SCD sudden cardiac death, LAVI left atrial volume index, RVSP right ventricular systolic pressure, RV right ventricle, LV left ventricle, LVEF left ventricular ejection fraction, CMR cardiac magnetic resonance, LVESV left ventricular end systolic volume, LGE late gadolinium enhancement.

RV dysfunction

In a subgroup analysis, 190 patients with speckle tracking echocardiography were analysed separately to compare RV mechanical function and its association with RV involvement. Supplementary Table 1 shows baseline characteristics of the 190 patients. Patients with RV involvement had more impaired LV GLS, RV GLS, RV septal wall LS, and RV free wall LS than those without RV involvement. RV GLS (R = 0.345, p < 0.001) and RV free wall LS (R = 0.310, p < 0.001) were significantly correlated with RV maximal wall thickness measured on CMR imaging (see Fig. 2A,B). In multivariate logistic regression analysis for echocardiographic parameters associated with RV involvement, RV free wall LS (odds ratio [OR] = 1.01, 95% CI = 1.00–1.01, p = 0.046), RV thickness (OR = 1.09, 95% CI = 1.06–1.12, p < 0.001), LV GLS (OR = 1.01, 95% CI = 1.00–1.03, p = 0.034), and LVMWT (OR = 1.01, 95% CI = 1.00–1.02, p = 0.010) were independently associated with RV involvement (Table 5). Moreover, RV GLS and RV free wall LS had incremental values for the prediction of RV involvement in C-statistics. RV wall thickness with RV GLS (AUC = 0.813) and RV wall thickness with RV free wall LS (AUC = 0.816) demonstrated better correlation with RV involvement than only using RV wall thickness measured using echocardiography (AUC = 0.727), as shown in Fig. 2C,D.
Figure 2

Kaplan–Meier curves for primary outcome-free survival (A) according to the presence of right ventricular involvement and (B) according to the presence of impaired right ventricular free wall longitudinal strain.

Table 5

Univariate and multivariate logistic regression analysis to estimate association between echocardiographic parameters and right ventricular involvement in hypertrophic cardiomyopathy.

VariablesUnivariateMultivariate
OR (95% CI)P valueOR (95% CI)P value
LAVI1.01 (1.00–1.01)0.0081.00 (0.99–1.00)0.179
RVSP1.01 (0.99–1.01)0.084
E/e’1.01 (1.00–1.02)0.0131.00 (0.99–1.01)0.448
LVOT obstruction1.05(0.93–1.19)0.423
LVEF0.99 (0.99–1.00)0.299
LV GLS1.03 (1.02–1.04) < .0011.01 (1.00–1.03)0.034
RV GLS1.02 (1.01–1.03) < .001
RV septal LS1.02 (1.01–1.03) < .001
RV free wall LS1.02 (1.01–1.02) < .0011.01 (1.00–1.01)0.046
RV thickness1.12 (1.08–1.15) < .0011.09 (1.06–1.12) < .001
LV maximal thickness1.03 (1.02–1.04) < .0011.01 (1.00–1.02)0.010

OR odds ratio, CI confidence interval, LAVI left atrial volume index, RVSP right ventricular systolic pressure, LVOT left ventricular outflow tract, LVEF left ventricular ejection fraction, LV left ventricle, RV right ventricle, GLS global longitudinal strain, LS longitudinal strain.

Kaplan–Meier curves for primary outcome-free survival (A) according to the presence of right ventricular involvement and (B) according to the presence of impaired right ventricular free wall longitudinal strain. Univariate and multivariate logistic regression analysis to estimate association between echocardiographic parameters and right ventricular involvement in hypertrophic cardiomyopathy. OR odds ratio, CI confidence interval, LAVI left atrial volume index, RVSP right ventricular systolic pressure, LVOT left ventricular outflow tract, LVEF left ventricular ejection fraction, LV left ventricle, RV right ventricle, GLS global longitudinal strain, LS longitudinal strain.

Discussion

The main findings of the study were as follows: (1) RV involvement in patients with HCM is common (14.4%); (2) patients with RV involvement showed more advanced biventricular dysfunction, suggesting an indicator of severe HCM; (3) RV involvement and impaired RV longitudinal strain in patients with HCM showed prognostic values related to clinical adverse events; and (4) impaired RV GLS and RV free wall LS were more frequently detected in patients with RV involvement than in those without. Many previous studies on RV involvement in HCM were sporadic case reports of severe RV hypertrophy and RV outflow tract obstruction[8,9], and only a few studies described the prevalence of RV involvement in HCM. In an early study, using transthoracic echocardiography, RV hypertrophy was reported in 44% of patients with HCM[10]. Studies using CMR demonstrated a prevalence ranging from 1.3 to 30%, depending on the criteria of RV involvement[4,5,11]. Our study showed a prevalence of 14.4%, with the RVMWT ≥ 7 mm on CMR. The varied reported prevalence of RV involvement in HCM is postulated to be a consequence of the different criteria of RV involvement and modalities measured. Classically, a family history of HCM-related SCD, unexplained syncope, multiple and repetitive non-sustained ventricular tachycardia, massive LVH, LV apical aneurysm or burn out stage (EF < 50%), and extensive LGE were suggested risk factors for SCD in HCM[3,12]. LVOT obstruction, diastolic dysfunction, and atrial tachyarrhythmia were considered risk factors related to heart failure[13,14]. Consistent with prior studies, our results showed that diastolic dysfunction, AF, unexplained syncope, and reduced LVEF were related to adverse clinical events but LVOT obstruction was not. We assumed that patients with high risk of SCD were managed with optimal medical therapy, ICD implantation, or septal myectomy, which may be responsible for these results. The association between RV involvement and poor prognosis indicated that patients with RV involvement had more advanced HCM and presented with significantly higher LAVI, higher E/e’, lower LVEF, and more impaired LV GLS in this study. LAVI and E/e’ reflect the LV end-diastolic pressure and long-term effects of elevated LV filling pressures; they are well correlated with LV diastolic burden and poor prognosis in patients with HCM[15-17]. Moreover, abnormal LV GLS has been shown to occur in HCM and is associated with a worse prognosis, even in patients with a normal LV ejection fraction[18]. Therefore, it is reasonable to assume that RV involvement is associated with severe systolic and diastolic dysfunction in HCM, which may play a role in determining clinical outcomes. Prior literature regarding RV in HCM has described RV structural features and dysfunction separately. Some studies revealed that the structural feature, RV hypertrophy, is associated with poor clinical outcomes. In addition, RV dysfunction is frequently observed in patients with HCM and is associated with an increased likelihood of adverse clinical event[7,19,20]. Recently, Wu et al. showed that RV hypertrophy exhibits more reduced RV GLS, supported exercise capacity, and can independently predict exercise intolerance in patients with HCM[6]. Xiang Li et al. also presented that impaired RV myocardial strain was more obvious in the presence of RVH and LGE in RV[21]. Our results supported these prior studies and showed both structural abnormality and functional impairment of RV using CMR imaging in a relatively large study population. Patients with RV involvement had more impaired RV mechanical function, and both RV involvement and impaired RV dysfunction were independently associated with clinical outcomes. Therefore, we assumed that RV involvement implies more severe myocardial dysfunction, not only of LV but also of RV. Interestingly, our study showed a large discrepancy in RV thickness as determined using transthoracic echocardiography and RVMWT on CMR imaging. We assumed this is due to the differing measurement sites and methods. In transthoracic echocardiography, RV thickness was calculated as the diameter of the RV free wall below the tricuspid annulus at a distance approximating the length of the anterior tricuspid leaflet, as recommended in the current guidelines. In contrast, RVMWT on CMR imaging measured the greatest diameter of the segments of the RV free wall, including the basal, mid, and apical levels of the RV free wall, in this study. Considering the methodological difficulty in measuring RV thickness using echocardiography, impaired RV strain is a more meaningful predictor of the structural change in RV and clinically adverse events in patients with HCM. This study has several limitations. First, the retrospective study design investigated a single-centre registry; thus, there is a possibility of selection bias. Considering LGE was observed in > 90% of patients in our study population, it is suggested that many patients with advanced HCM were selected in this study. Second, the criteria of RV involvement can be deemed arbitrary because standard criteria for RV involvement in HCM were not established. Maron MS. et al. measured RV thickness using automatic software at any site within the RV wall and reported an average RV thickness of 7 ± 2 mm in patients with HCM[4]. Nagata Y. et al. defined RV hypertrophy as RV maximal wall thickness > 5 mm; the average maximal RV thickness was 4.7 ± 2.3 mm in the total patient population and 7.8 ± 1.8 mm in patients with RV hypertrophy in their study. Based on these previous studies, we defined RV involvement as the maximum RV wall thickness of ≥ 7 mm. We presumed that this criterion is reasonable to minimize the possibility of false-positive and false-negative findings of RV involvement. Further large population and prospective studies are required to standardize the diagnostic criteria of RV involvement in HCM. Third, we could not include data of genetic testing for HCM and follow-up CMR due to the retrospective nature of the study. Information regarding genetic mutation and serial change in the RV phenotype orn CMR could provide more concomitant evidence of the mechanism of RV involvement. In conclusion, RV involvement in patients with HCM is common. Patients with RV involvement showed more severe myocardial dysfunction of the LV and RV, suggesting that it can be considered an indicator of severe HCM. Furthermore, RV involvement and impaired RV longitudinal strain in HCM showed clinical significance related to adverse clinical outcomes.

Methods

Study population

A total of 346 patients who underwent both cardiac magnetic resonance (CMR) imaging and transthoracic echocardiography within 6 months of each other were screened in Yonsei University Cardiovascular Hospital in the Republic of Korea. Patients who had undergone septal myectomy, had combined heart disease leading to RV hypertrophy, or had significant pulmonary hypertension defined as RV systolic pressure (RVSP) > 50 mmHg were excluded. Finally, 256 patients were included for the analysis. The study was approved by the Institutional Review Board of the Yonsei University Health System (approval number: 4-2012-0655), and it complied with the ethical principles of the Declaration of Helsinki. The need for informed consent was waived by the local ethics committee of the Yonsei University Health System.

Cardiac magnetic resonance imaging

All patients underwent CMR with a 3-T clinical scanner (Magnetom Trio Tim, Siemens AG Healthcare Sector, Erlangen, Germany). Electrocardiogram gated cine images were acquired in the short-axis views using retrospective echocardiography-gated balanced steady-state free precession true fast imaging with steady-state precession (TrueFISP) sequence with the following parameters: repetition time (TR), 3.3 ms; echo time (TE), 1.44 ms; flip angle, 50°, 25 phases; slice thickness, 8 mm; slice gap, 8 mm; acquisition matrix, 216 × 256 pixels; and field of view, 337 × 400 mm2. LV and RV LGE images were acquired 10 min after contrast injection (0.2 mmol/kg of a gadolinium-based contrast media) using a magnitude- and phase-sensitive inversion-recovery-prepared TrueFISP sequence, with the inversion time adjusted to null, thus representing the normal myocardium. Two expert radiologists, blinded to patients’ clinical data, analysed CMR images. All image analyses were performed using semi-automatic segmentation in the software (CMR42, Circle Cardiovascular Imaging, Calgary, Alberta, Canada). Additionally, the left and right ventricular volumes and ejection fractions (EFs) were measured from the cine images using semi-automatic segmentation in the software (CMR42, Circle Cardiovascular Imaging, Calgary, Alberta, Canada). LV (LVMWT) and RV (RVMWT) maximal wall thickness were measured as the greatest dimension at end-diastole measured manually in short-axis slices. RVMWT was measured in the segments of the RV free wall, as shown in Fig. 3A. The presence of LGE in LV and RV was also confirmed separately (see Fig. 3B). Pericardium and trabeculations were excluded from the assessment of wall thickness. RV involvement was defined as maximum RV wall thickness of ≥ 7 mm in any segments of the RV free wall.
Figure 3

Scatter plot and Pearson correlation coefficient between (A) right ventricular maximal wall thickness (RVMWT) and RV global longitudinal strain (GLS) and (B) RVMWT and RV free wall longitudinal strain (LS). Comparison of receiver operating characteristic curves with corresponding areas under the curve to predict RV involvement between (C) RV wall thickness and RV wall thickness with RV GLS and (D) RV wall thickness and RV wall thickness with RV free wall LS.

Scatter plot and Pearson correlation coefficient between (A) right ventricular maximal wall thickness (RVMWT) and RV global longitudinal strain (GLS) and (B) RVMWT and RV free wall longitudinal strain (LS). Comparison of receiver operating characteristic curves with corresponding areas under the curve to predict RV involvement between (C) RV wall thickness and RV wall thickness with RV GLS and (D) RV wall thickness and RV wall thickness with RV free wall LS.

Echocardiography

Two-dimensional linear and volumetric measurements were obtained using standard methods[22,23]. LVMWT was determined at end-diastole from the parasternal short-axis view. RV wall thickness was measured at end-diastole below the tricuspid annulus at a distance approximating the length of the anterior tricuspid leaflet[24]. Obstruction of the LV outflow was defined as the peak pressure gradient of the LV outflow tract ≥ 30 mmHg on continuous-wave Doppler echocardiography at rest or by Valsalva manoeuvre. In a subgroup analysis, LV and RV mechanical function were evaluated in 190 patients using speckle tracking echocardiography (STE). LV and RV strain were assessed via STE analysis performed offline using customized software (EchoPAC PC; GE Medical Systems). Three consecutive cardiac cycles were recorded and averaged, and frame rates were set to 60–80 frames per second. LV global longitudinal strain (GLS) was obtained from the average of three standard apical views. RV GLS was defined as the average of the RV free wall and septal segments measured in standard focused RV view or apical four-chamber view using the software designed for LV measurements and adapted for the RV. RV free wall longitudinal strain (LS) was defined as the arithmetical average of three segments (base, mid, and apex) of the RV free wall (see Fig. 3C,D). Impaired RV free wall longitudinal strain was defined as > − 20%[23,25].

Outcomes

Primary outcomes were defined as composite of all-cause death, heart transplantation, and cardiovascular hospitalization during the follow-up period (median: 1153 days [interquartile range: 748–1372 days]). A cardiovascular hospitalization was defined as an unplanned cardiovascular event requiring admission for heart failure, angina, atrial or ventricular tachyarrhythmia, sudden collapse, stroke, or myocardial infarction. The clinical events were analysed by two researchers independently, and the occurrence of renal outcomes was decided with the agreement of both researchers.

Statistical analysis

All continuous data are presented as mean ± standard deviation, and categorical data are expressed as numbers and percentages for each group. Interobserver agreement for the presence of RV involvement was calculated using Cohen’s kappa value. The significance of RV involvement on primary outcomes was analysed with multivariate Cox proportional hazard models and Kaplan–Meier curves. Correlation between RVMWT and parameters of LV and RV strain was calculated using Pearson’s correlation method. Diagnostic incremental values of the echocardiographic parameters identifying RV involvement were estimated using receiver operating characteristic (ROC) curves with corresponding areas under the curve (AUC). Comparisons between the AUC were conducted using DeLong's test[26]. All tests were two-sided, and statistical significance was defined as p < 0.05. All statistical analyses were performed with R statistical software (version 3.6.0; R Foundation for Statistical Computing, Vienna, Austria). Supplementary Table 1.
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Review 1.  Right ventricular involvement in hypertrophic cardiomyopathy: a case report and literature review.

Authors:  D Mozaffarian; J H Caldwell
Journal:  Clin Cardiol       Date:  2001-01       Impact factor: 2.882

2.  Guidelines for the echocardiographic assessment of the right heart in adults: a report from the American Society of Echocardiography endorsed by the European Association of Echocardiography, a registered branch of the European Society of Cardiology, and the Canadian Society of Echocardiography.

Authors:  Lawrence G Rudski; Wyman W Lai; Jonathan Afilalo; Lanqi Hua; Mark D Handschumacher; Krishnaswamy Chandrasekaran; Scott D Solomon; Eric K Louie; Nelson B Schiller
Journal:  J Am Soc Echocardiogr       Date:  2010-07       Impact factor: 5.251

3.  Prognostic Value of Global Longitudinal Strain in Hypertrophic Cardiomyopathy: A Systematic Review of Existing Literature.

Authors:  Albree Tower-Rader; Divyanshu Mohananey; Andrew To; Harry M Lever; Zoran B Popovic; Milind Y Desai
Journal:  JACC Cardiovasc Imaging       Date:  2018-09-12

4.  Clinical Course and Management of Hypertrophic Cardiomyopathy.

Authors:  Barry J Maron
Journal:  N Engl J Med       Date:  2018-11-15       Impact factor: 91.245

5.  Right ventricular myocardial involvement in either physiological or pathological left ventricular hypertrophy: an ultrasound speckle-tracking two-dimensional strain analysis.

Authors:  Antonello D'Andrea; Pio Caso; Eduardo Bossone; Raffaella Scarafile; Lucia Riegler; Giovanni Di Salvo; Rita Gravino; Rosangela Cocchia; Francesca Castaldo; Gemma Salerno; Enrica Golia; Giuseppe Limongelli; Giuseppe De Corato; Sergio Cuomo; Giuseppe Pacileo; Maria Giovanna Russo; Raffaele Calabrò
Journal:  Eur J Echocardiogr       Date:  2010-06-15

6.  Clinicopathological profiles of progressive heart failure in hypertrophic cardiomyopathy.

Authors:  Paola Melacini; Cristina Basso; Annalisa Angelini; Chiara Calore; Fabiana Bobbo; Barbara Tokajuk; Nicoletta Bellini; Gessica Smaniotto; Mauro Zucchetto; Sabino Iliceto; Gaetano Thiene; Barry J Maron
Journal:  Eur Heart J       Date:  2010-05-31       Impact factor: 29.983

7.  Prevalence and clinical correlates of right ventricular dysfunction in patients with hypertrophic cardiomyopathy.

Authors:  Gherardo Finocchiaro; Joshua W Knowles; Aleksandra Pavlovic; Marco Perez; Emma Magavern; Gianfranco Sinagra; Francois Haddad; Euan A Ashley
Journal:  Am J Cardiol       Date:  2013-10-04       Impact factor: 2.778

8.  Right ventricular involvement in hypertrophic cardiomyopathy.

Authors:  Martin S Maron; Thomas H Hauser; Ethan Dubrow; Taylor A Horst; Kraig V Kissinger; James E Udelson; Warren J Manning
Journal:  Am J Cardiol       Date:  2007-08-09       Impact factor: 2.778

9.  2014 ESC Guidelines on diagnosis and management of hypertrophic cardiomyopathy: the Task Force for the Diagnosis and Management of Hypertrophic Cardiomyopathy of the European Society of Cardiology (ESC).

Authors:  Perry M Elliott; Aris Anastasakis; Michael A Borger; Martin Borggrefe; Franco Cecchi; Philippe Charron; Albert Alain Hagege; Antoine Lafont; Giuseppe Limongelli; Heiko Mahrholdt; William J McKenna; Jens Mogensen; Petros Nihoyannopoulos; Stefano Nistri; Petronella G Pieper; Burkert Pieske; Claudio Rapezzi; Frans H Rutten; Christoph Tillmanns; Hugh Watkins
Journal:  Eur Heart J       Date:  2014-08-29       Impact factor: 29.983

10.  Left atrial volume index: a predictor of adverse outcome in patients with hypertrophic cardiomyopathy.

Authors:  Woo-In Yang; Chi Young Shim; Young Jin Kim; Sung-Ai Kim; Sang Jae Rhee; Eui-Young Choi; Donghoon Choi; Yangsoo Jang; Namsik Chung; Seung-Yun Cho; Jong-Won Ha
Journal:  J Am Soc Echocardiogr       Date:  2009-10-30       Impact factor: 5.251

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  6 in total

1.  Association of the Genetic Variation in the Long Non-Coding RNA FENDRR with the Risk of Developing Hypertrophic Cardiomyopathy.

Authors:  Elías Cuesta-Llavona; Rebeca Lorca; Valeria Rolle; Belén Alonso; Sara Iglesias; Julian Rodríguez-Reguero; Israel David Duarte-Herrera; Sergio Pérez-Oliveira; Alejandro Junco-Vicente; Claudia García Lago; Eliecer Coto; Juan Gómez
Journal:  Life (Basel)       Date:  2022-05-30

2.  Association of QTc Interval and V4-S Wave With Appropriate ICD Therapy in Hypertrophic Cardiomyopathy.

Authors:  Nixiao Zhang; Sijing Cheng; Hongxia Niu; Min Gu; Hui Peng; Zhijun Sun; Xi Liu; Yu Deng; Xuhua Chen; Wei Hua
Journal:  Front Cardiovasc Med       Date:  2022-05-12

3.  Sudden cardiac death risk in hypertrophic cardiomyopathy: comparison between echocardiography and magnetic resonance imaging.

Authors:  Mateusz Śpiewak; Mariusz Kłopotowski; Ewa Kowalik; Agata Kubik; Natalia Ojrzyńska-Witek; Joanna Petryka-Mazurkiewicz; Ewa Michalak; Łukasz Mazurkiewicz; Monika Gawor; Katarzyna Kożuch; Barbara Miłosz-Wieczorek; Jacek Grzybowski; Zofia Bilińska; Adam Witkowski; Anna Klisiewicz; Magdalena Marczak
Journal:  Sci Rep       Date:  2021-03-30       Impact factor: 4.379

4.  Right-ventricular mechanics assessed by cardiovascular magnetic resonance feature tracking in children with hypertrophic cardiomyopathy.

Authors:  Joanna Petryka-Mazurkiewicz; Lidia Ziolkowska; Łukasz Mazurkiewicz; Monika Kowalczyk-Domagała; Agnieszka Boruc; Mateusz Śpiewak; Magdalena Marczak; Grażyna Brzezinska-Rajszys
Journal:  PLoS One       Date:  2021-03-18       Impact factor: 3.240

Review 5.  Quantification of Myocardial Deformation Applying CMR-Feature-Tracking-All About the Left Ventricle?

Authors:  Torben Lange; Andreas Schuster
Journal:  Curr Heart Fail Rep       Date:  2021-05-01

Review 6.  The Prognostic Importance of Right Ventricular Longitudinal Strain in Patients with Cardiomyopathies, Connective Tissue Diseases, Coronary Artery Disease, and Congenital Heart Diseases.

Authors:  Marijana Tadic; Johannes Kersten; Nicoleta Nita; Leonhard Schneider; Dominik Buckert; Birgid Gonska; Dominik Scharnbeck; Tilman Dahme; Armin Imhof; Evgeny Belyavskiy; Cesare Cuspidi; Wolfgang Rottbauer
Journal:  Diagnostics (Basel)       Date:  2021-05-26
  6 in total

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