Abstract Background The functional significance of the left ventricular (LV) hypercontractile phenotype (HP) in hypertrophic cardiomyopathy (HCM) remains unclear. Purpose To assess the systemic and coronary hemodynamic correlates of HP in HCM. Methods We enrolled 1533 HCM patients (age 51 ± 15 years, 965 males, 63%) with ejection fraction (EF) ≥50%, referred for rest transthoracic echocardiography (TTE) in 27 laboratories from 13 countries. Two-dimensional volumetric TTE assessment included LV outflow tract gradient (LVOTG), end-diastolic volume (EDV), end-systolic volume (ESV), EF, and LV force (systolic blood pressure + LVOTG/ESV, mmHg/mL). Coronary flow velocity in the mid-distal left anterior descending (LAD) coronary artery was assessed in 325 patients. HP was defined as the highest quartile of the force (> 7.32 mmHg/ml). Results Force was moderately related to EF (r = 0.48, p < 0.0001) and weakly to LVOTG (r = 0.36, p < 0.0001). Compared to non-HP patients, HP showed higher heart rate (72 ± 14 vs 67 ± 14 beats per minute, p <0.0001), lower stroke volume (50 ± 22 vs 67 ± 22 ml, p < 0.0001), larger left atrial volume index (44 ± 16 vs 40 ± 16 ml/m2, p = 0.011) and higher coronary flow velocity in the LAD (n = 325, 41 ± 12 vs 37 ± 14 cm/s, p = 0.021), see Figure. Abnormal B-lines (≥ 2) were present in 11 of the 39 HP compared to 39 of the 271 non-HP patients (28% vs 14 %, p = 0.05). E/e’ ratio was higher in HP (n = 59) vs. non-HP (n = 571) patients (11 ± 5.4 vs 9.6 ± 4.2, p = 0.018). Conclusion In patients with HCM, preserved EF, and no history of coronary artery disease, HP identified by resting TTE with supernormal LV force was associated with an unfavorable systemic hemodynamic and coronary flow profile. Compared to non-HP HCM patients, the HP was characterized by reduced stroke volume, impaired diastolic function, and increased resting coronary flow velocity. HP may reflect inefficient myocardial mechanics, with disproportionate energy expenditure mirrored by higher resting coronary flow despite reduced stroke volume generation, ultimately contributing to adverse remodeling and worse prognosisNon-HP vs HP LAVI and coronary LAD flow
Hemodynamics and coronary flow in obstructive and non-obstructive hypertrophic cardiomyopathy
Abstract Background The presence of the significant left ventricular outflow tract gradient (LVOTG) changes clinical symptoms, prognosis and treatment in hypertrophic cardiomyopathy enabling the classification into its obstructive (HOCM) and non-obstructive form (non-HOCM). However, the more detailed functional characteristics and comparison of these forms remains poorly known. Purpose To compare the demographic, clinical and echocardiographic features between non-HOCM (defined as LVOTG < 30 mmHg) and HOCM patients enrolled into multi-centred study in years 1996-2024 as well as to analyse their long –term prognosis in relation to registered LVOTG. Methods We enrolled 1533 HCM patients (age 51 ± 15 years, 965 males, 63%) with ejection fraction (EF) ≥50%, referred for rest transthoracic echocardiography (TTE) in 27 centers, nevertheless quantitative assessment of LVOTG was available in 1252 patients. Survival analysis was performed in a subset of 1200 patients with follow-up information. Beyond standard TTE, the number of B-lines, the maximal diastolic velocity of coronary flow in left anterior descending artery (LAD) as well as left ventricular force defined as the ratio of systolic blood pressure plus LVOTG divided by left ventricular end-systolic volume was assessed with specification of hypercontractile phenotype (HP) as the highest force quartile. Additionally age and sex matched control group was included. Results Compared to non-HOCM patients, HOCM showed a bit higher body mass index (27 ± 4 vs 26 ± 4 kg/m2, p = 0.001), were often burdened with diabetes and hypertension, presented more advanced NYHA class and higher risk of SCD, see Table. In the echocardiographic assessment HOCM presented lower end-systolic left ventricular volume (LV ESV: 27 ± 14 vs 29 ± 13 ml, p = 0.014) although maintained equal stroke volume and even higher ejection fraction (EF: 69 ± 8% vs 67 ± 7%, p < 0.001), cardiac output (CO: 4.3 ± 1.7 vs 4.0 ± 1.4 l/min, p < 0.001) and force in comparison to counterparts without LVOTG. This high-contractility performance was however sustained at the cost of larger left atrium volume index (LAVI: 49 ± 19 vs 40 ± 15 ml/m2, p < 0.001), higher coronary flow velocity (43 ± 12 vs 27 ± 13 cm/s, p < 0.001) as well as more frequent B-lines in the lung assessment. During a median follow-up of 87 months (interquartile range 45 – 143 months), 131 all-cause deaths occurred and not only patients with HOCM but also those with HP showed the worse long-term survival, see Figure. Conclusion HOCM remains the form of HCM burdened with more overt clinical symptoms, signs and prognosis. On the other hand LVOTG seems to be important but not always necessary element of this presentation, which seems to be related even more tightly to general hypercontractility phenotype reflected by higher force and resting coronary flow.Table.Non-HOCM vs HOCM comparison Figure.Force and LVOTG prognostic value
Hypercontractile phenotype in hypertrophic cardiomyopathy indicates unfavorable hemodynamics, coronary flow and prognosis
Abstract Aims Our aim was to assess the clinical and prognostic significance of the left ventricular (LV) hypercontractile phenotype (HP) in hypertrophic cardiomyopathy (HCM), which until now remains unclear. Methods and results We enrolled 1533 HCM patients (age 51 ± 15 years, 965 males, 63%) with ejection fraction (EF) ≥ 50%, referred for rest transthoracic echocardiography (TTE) in 27 laboratories from 13 countries. Two-dimensional volumetric TTE assessment included LV outflow tract gradient (LVOTG), LV EF, and LV force (systolic blood pressure + LVOTG/ESV, mmHg/mL). HP was defined as the highest quartile of the force (> 7.32 mmHg/mL). Survival analysis was performed in a subset of 1200 patients with follow-up information. Compared with non-HP patients, HP showed higher heart rate (72 ± 14 vs. 67 ± 14 beats per minute, P < 0.001), lower stroke volume (50 ± 22 vs. 67 ± 22 mL, P < 0.001), larger left atrial volume index (44 ± 16 vs. 40 ± 16 mL/m2, P = 0.011) and higher coronary flow velocity in the mid-distal left anterior descending artery (n = 325, 41 ± 12 vs. 37 ± 14 cm/s, P = 0.021). Force was moderately related to LV EF (r = 0.48, P < 0.001) and weakly to LVOTG (r = 0.36, P < 0.001). During a median follow-up of 87 months (interquartile range 45–143 months), 131 all-cause deaths occurred. At multivariable Cox analysis, a force > 7.32 mmHg (the fourth quartile for analyzed patients) was associated with a hazard ratio of 1.44 (95% Confidence intervals 1.00–2.07) for all-cause death, independently of LVOTG and LV EF. Conclusion HP in HCM is associated with a disadvantageous systemic, cardiac and coronary hemodynamic profile as well as lower survival in the long-term.
Stress Echo 2030 Study: A Flagship Project of the Italian Society of Echocardiography and Cardiovascular Imaging
Over the past decade, stress echocardiography has evolved from a test for assessing epicardial artery stenosis to a comprehensive functional test, targeting multiple cardiovascular parameters. The new approach includes several structured steps: (a) evaluating regional wall motion abnormalities to detect epicardial artery stenosis or vasospasm; (b) assessing pulmonary congestion and diastolic function via B-lines with lung ultrasound; (c) gauging preload and contractile reserve with volumetric echocardiography; (d) measuring coronary microvascular reserve using Doppler-based coronary flow velocity in the middistal left anterior descending artery; and (e) determining cardiac sympathetic reserve by tracking heart rate reserve on an ECG. This evolution was supported extensively by the Italian Society of Echocardiography and Cardiovascular Imaging (SIECVI), which played a key role in five areas: (1) developing the initial, curiosity-driven project; (2) disseminating protocols and results at national and international conferences, supporting logistic infrastructure and publication expenses; (3) establishing a digital platform (customized Redcap) for data entry and storage; (4) facilitating patient recruitment across 19 Italian centers; and (5) offering formal endorsement through six presidencies, adding credibility and reach beyond any single institution. The protocol quickly advanced from concept to high-impact publications, earning inclusion in 2024 specialty guidelines. Initially Italian-led, the study now includes 50 centers across 20 countries (e.g. USA and China). Beyond the 50 peer-reviewed papers published in 2016–2024, this study offers a novel, sustainable approach to cardiac stress testing, providing more information at lower costs, with zero radiation and minimal environmental impact. SIECVI’s endorsement was instrumental in amplifying the study’s rigor and outreach.
Unfavorable systemic and coronary hemodynamic profile of left ventricular hypercontractile phenotype in hypertrophic cardiomyopathy
Abstract Background The left ventricular (LV) hypercontractile phenotype (HP) plays a critical role in hypertrophic cardiomyopathy (HCM) and is usually identified with the left ventricular outflow tract gradient (LVOTG). Purpose To assess the systemic and coronary hemodynamic profile associated with HP identified with increased LV elastance (also known as force) at rest in patients with HCM. Methods We enrolled 1248 HCM patients (age 50 ± 15 years, 798 males, 64%) with ejection fraction (EF) ≥50%, referred for rest transthoracic echocardiography (TTE) in 14 quality-controlled sites from 7 countries TTE assessment included LVOTG, EF, and LV force (systolic blood pressure + LVOTG/LV end-systolic volume, mmHg/mL). Volumetric echocardiography with Simpson’s method was used to measure EF from end-diastolic volume (EDV) and end-systolic volume (ESV), stroke volume (SV), arterial elastance (AE) and ventricular-arterial coupling (VAC). We also assessed resting peak diastolic coronary flow velocity (D-CFV) in the mid-distal left anterior descending artery in a subset of 275 patients. Results EF equaled 68 ± 7%, force = 6.8 ± 5.3 mmHg/ml and LVOTG = 22 ± 28 mmHg. HP was identified as the highest quartile of force (> 7.85 mmHg/ml, mean value= 13.3 ± 7.0). HP showed the lowest SV (46 ± 18 ml) and EDV (61 ± 20 ml), with the highest AE (3.19 ± 1.35 mmHg/ml) and VAC (3.46 ± 1.59) compared to other quartiles (p<0.001) ( see Picture) . D-CFV was not higher in patients with HP (n = 65) compared to those (n = 210) without HP (41± 11 vs 38 ± 14 cm/s, p=ns, but higher in comparison to joint first and second Force quartile (n=122) vs 37 ±14 p =0.0472). Table displays the demografic, clinical and TTE parameters related to HP (Table). In multivariate logistic analysis 4 independent predictors of HP were identified: SBP >130 mmHg with OR 2.5, female sex with OR 5.4, LV EF >70% with OR 6.1 and LVOTG >30 mmHg with the highest OR = 6.3. Conclusion: HCM patients with HP exhibit a distinctive systemic hemodynamic and coronary physiology profile, characterized by low SV, high VAC, and supranormal baseline D-CFV compared to non-HP patients. These findings suggest reduced cardiovascular efficiency and increased myocardial oxygen demand, possibly detrimental over time.
Adverse prognostic implications of increased left ventricular force in hypertrophic cardiomyopathy
Abstract Background The left ventricular (LV) force, also known as elastance, serves as a load-independent indicator of contractility and can be noninvasively assessed through echocardiography. In hypertrophic cardiomyopathy (HCM), the heightened presence of the active state of myosin heads results in an increased LV force. Purpose To assess the prognostic value of increased LV elastance at rest in patients with HCM. Methods We enrolled 1420 HCM patients (age 50±16 years, 907 males, 64%) with ejection fraction (EF) ≥50%, referred for rest transthoracic echocardiography (TTE) in 10 quality-controlled labs from 7 countries. TTE assessment included peak left ventricular outflow tract gradient (LVOTG), EF, and LV force (systolic blood pressure + LVOTG/LV end-systolic volume assessed with 2-D, mmHg/mL). All patients were followed up. All-cause death was the outcome measure. Results At a median follow-up of 83 months, 150 deaths occurred (Group 1). At study entry, Group 1 patients had the same ESC-Sudden cardiac death score compared to survivors (Group 2). In Group 1 compared to Group 2, TTE showed higher values of MR severity, E/e’ , left atrial volume index, estimated systolic pulmonary artery pressure, and force (see table). At multivariable Cox analysis, only age (HR =1.08, 95% CI=1.03-1.14, p=0.001) and force > median value of 5.3 mmHg/mL (HR = 2.14, 95% CI 1.53-2.99, p=0.020) were independent predictors of mortality. Ten-year survival was 95% in the pooled first (<3.8 mmHg/mL) and second (3.8-5.2 mmHg/mL) quartiles vs 80% in the pooled third (5.3-7.8 mmHg/mL) and fourth quartiles (>7.8 mmHg/mL), see figure. Conclusion HCM patients with higher values of resting LV elastance show a worse survival, highlighting the dark prognostic side of an excess of force in these patients. Table Legends E/e’, early mitral inflow to early mitral annulus motion ratio, EF, left ventricular ejection fraction, LAVI, left atrial volume index; LVOTG, left ventricular outflow tract peak gradient, MR, mitral regurgitation; MWT, maximal wall thickness, NYHA, New York Heart Association classification, RWT, relative wall thickness; SCD risk, risk score for sudden cardiac death in hypertrophic cardiomyopathy, SPAP, systolic pulmonary arterial pressure.Table.Clinical and TTE findingsFigure.Survival in the force quartiles
Stress Echo 2030: The Novel ABCDE-(FGLPR) Protocol to Define the Future of Imaging
With stress echo (SE) 2020 study, a new standard of practice in stress imaging was developed and disseminated: the ABCDE protocol for functional testing within and beyond CAD. ABCDE protocol was the fruit of SE 2020, and is the seed of SE 2030, which is articulated in 12 projects: 1-SE in coronary artery disease (SECAD); 2-SE in diastolic heart failure (SEDIA); 3-SE in hypertrophic cardiomyopathy (SEHCA); 4-SE post-chest radiotherapy and chemotherapy (SERA); 5-Artificial intelligence SE evaluation (AI-SEE); 6-Environmental stress echocardiography and air pollution (ESTER); 7-SE in repaired Tetralogy of Fallot (SETOF); 8-SE in post-COVID-19 (SECOV); 9: Recovery by stress echo of conventionally unfit donor good hearts (RESURGE); 10-SE for mitral ischemic regurgitation (SEMIR); 11-SE in valvular heart disease (SEVA); 12-SE for coronary vasospasm (SESPASM). The study aims to recruit in the next 5 years (2021–2025) ≥10,000 patients followed for ≥5 years (up to 2030) from ≥20 quality-controlled laboratories from ≥10 countries. In this COVID-19 era of sustainable health care delivery, SE2030 will provide the evidence to finally recommend SE as the optimal and versatile imaging modality for functional testing anywhere, any time, and in any patient.
Imaging Quality Control, Methodology Harmonization and Clinical Data Management in Stress Echo 2030
Stress echo (SE) 2030 study is an international, prospective, multicenter cohort study that will include >10,000 patients from ≥20 centers from ≥10 countries. It represents the logical and chronological continuation of the SE 2020 study, which developed, validated, and disseminated the “ABCDE protocol” of SE, more suitable than conventional SE to describe the complex vulnerabilities of the contemporary patient within and beyond coronary artery disease. SE2030 was started with a recruitment plan from 2021 to 2025 (and follow-up to 2030) with 12 subprojects (ranging from coronary artery disease to valvular and post-COVID-19 patients). With these features, the study poses particular challenges on quality control assurance, methodological harmonization, and data management. One of the significant upgrades of SE2030 compared to SE2020 was developing and implementing a Research Electronic Data Capture (REDCap)-based infrastructure for interactive and entirely web-based data management to integrate and optimize reproducible clinical research data. The purposes of our paper were: first, to describe the methodology used for quality control of imaging data, and second, to present the informatic infrastructure developed on RedCap platform for data entry, storage, and management in a large-scale multicenter study.