bluuebunny/crossref_metadata_2025_split huggingface dataset:
The influence of genetic mutations on multilayer global longitudinal strain values in patients with hypertrophic cardiomyopaty
Authors: Engin K , Barman H A , Ebeoglu O , Geylan A , Guneysu S I , Ozyildirim S , Dogan S M 
Published: October 2024

Abstract

Background
Hypertrophic cardiomyopathy (HCM) is a hereditary heart muscle disorder characterized by diverse genetic mutations. Multilayer global longitudinal strain (GLS) analysis has emerged as a valuable tool for assessing myocardial function. This study aimed to investigate the influence of genetic mutations on myocardial deformation patterns in HCM patients using multilayer GLS analysis.

Methods
A total of 83 adult patients diagnosed with HCM were included in the study. Genetic testing was performed to identify specific genetic mutations associated with HCM. Echocardiographic assessments were conducted to measure multilayer GLS values for endocardial, mid-myocardial, and epicardial layers. Patients were divided into gene-positive and gene-negative groups for comparative analysis.

Results
In the gene-negative group (n=41), the mean age was 57.1 ± 11.0 years, whereas in the gene-positive group (n=42), it was 55.5 ± 11.6 years (p=0.516). Significant differences were observed in endocardial (-16.1 ± 2.3 vs. -13.4 ± 3.2, p &lt; 0.001) and mid-myocardial (-14.2 ± 2.1 vs. -12.3 ± 3.1, p = 0.002) GLS involvement between gene-negative and gene-positive HCM patients. However, no significant disparity in epicardial strain was detected.

Conclusion
The findings demonstrated a greater involvement of the endocardial and mid-myocardial layers in the group of HCM patients with positive genetic mutations. Multilayer GLS analysis has the potential to aid in the identification of subtle alterations in myocardial function associated with specific genetic mutations, contributing to refined risk assessment and personalized management strategies for HCM patients.
Differences in left ventricular contraction in left bundle branch block with preserved and reduced ejection fraction: an evaluation using 2-dimensional speckle tracking echocardiography
Authors: Hara H , Shinkai W , Hosokawa K , Kaida T , Murakami M , Ito H , Niwano S , Ako J 
Published: October 2024

Abstract

Background
Left ventricular (LV) contraction in left bundle branch block (LBBB) is characterized by early septal contraction and delayed contraction of the lateral wall, but the process may differ depending on myocardial contractility in addition to the degree of conduction block.

Purpose
This study aimed to evaluate LV contraction in patients with LBBB by analysis of longitudinal strain (LS) and to compare it between patients with preserved LV ejection fraction (pEF: EF&gt;50%) and reduced LV EF (rEF: EF&lt;40%).

Methods
We studied 87 patients with LBBB. Fifty had pEF (EF 59±7%) with a mean QRS duration of 144±12ms, and 38 had rEF (EF: 29±4%) with a mean QRS duration of 147±12ms (p=0.32 vs. pEF). We also studied 43 patients without conduction block (Narrow-QRS; pEF, n=23; rEF, n=20). Patients with a heart rate less than 60 or greater than 80 beats/min during echocardiography or with a history of myocardial infarction were excluded. Three standard apical images were recorded, and the LS of one heartbeat starting at the beginning of the QRS was evaluated in 18 LV segments. When the strain waveform showed a negative peak during the pre-ejection period, it was identified as early systolic contraction (ESC), and the first negative peak that appeared after aortic valve opening (AVO) was identified as late systolic contraction (LSC). The time from the beginning of QRS to the peak of the LSC (Q-Peak) and the strain value at the end of the QRS were measured in each segment.

Results
In patients with LBBB, the septum contracted early, and ESC was seen mainly in the early contracted area. The lateral wall contraction was delayed, and the difference between the maximum and minimum Q-Peak was greater than the Narrow-QRS in the same EF category. Patients with rEF and LBBB had a larger number of segments with ESC and a smaller minimum Q-Peak than those with pEF. The difference between the maximum and minimum Q-Peak was greater for patients with rEF than for patients with pEF.

Conclusions
Although patients with LBBB had significant dyssynchrony due to conduction block even those with pEF, LV contractile properties were altered in patients with rEF and associated with further increased dyssynchrony.
Blood pressure in the early 40s impacts left atrial function by speckle-tracking strain two decades later: data from the ACE 1950 Study
Authors: Solberg M , Berge T , Ronningen P S , Enger S , Pervez M O , Orstad E B , Kvisvik B A , Aagaard E N , Lyngbakken M N , Ariansen I , Rosjo H , Tveit A 
Published: October 2024

Abstract

Background
With higher age, the left atrial (LA) wall stiffens, giving rise to impaired reservoir function and a compensatory increase in contractile function. The exposure of systemic blood pressures (BP) through life on the left heart chambers may be an explanation, but long-term follow-up studies are lacking. LA phasic function can be quantified by echocardiographic speckle-tracking strain analysis and provide prognostic information in cardiovascular disease.

Purpose
To explore the impact of BP in the early 40s on LA function assessed by strain two decades later.

Methods
A total of 3,706 individuals born in 1950 and residing in Akershus County, Norway, were included in the Akershus Cardiac Examination (ACE) 1950 Study. Baseline examinations were conducted between 2012-2015 and included echocardiography. Of those with available echocardiographic LA strain analyses, 2,399 participants had demographic and clinical data available from the Age 40 Program, a cardiovascular health survey performed when the participants were 40 years old. We assessed the impact of BP at age 40 on LA strain two decades later. Differences in LA reservoir (LASr) and contractile strain (LASct) between systolic (&lt;120, 120-140 and &gt;140mmHg) and diastolic (&lt;70, 70-90, and &gt;90mmHg) BP groups were assessed by ANOVA. Linear regression analyses were performed using BPs as continuous variables.

Results
Mean age of the 2,399 participants was 40.1±0.3 years at the time of the Age 40 program, and 63.9±0.6 years at the time of the ACE 1950 baseline examination. At age 40, 20.8% of participants had BP ≥140/ ≥90mmHg or used antihypertensive medication. Mean LASr was 35.1±9.2%, while mean LASct was 17.7±5.6%. LASr did not differ significantly between groups of systolic or diastolic BP. LASct, however, showed a statistically significant increase from lower to higher groups of both systolic and diastolic BP (Figure). In linear regression analyses, no associations were found between BPs and LASr, but systolic and diastolic BPs were both significantly associated with LASct (Table). The associations between BPs and LASct remained significant after adjustment for sex, BMI, daily smoking, resting heart rate and hypertension at age 40 (Table).

Conclusions
Higher systolic and diastolic BP in the early forties were associated with increased LA contractile function two decades later, but no significant changes in LA reservoir function were detected. This indicates contractile function as an early marker of subtle LA dysfunction.Figure.Table.
Right ventricular free wall longitudinal strain as a predictor of myocardial recovery in patients with advanced cardiogenic shock supported with the Impella device
Authors: Rapis K , Faragli A , Nelki V , Lo Muzio F P , Spillmann F , Tschoepe C , Alogna A 
Published: October 2024

Abstract

Background
Right ventricular (RV) dysfunction is a known independent factor influencing the outcome of patients in cardiogenic shock (CS). The aim of this monocentric retrospective study was to investigate the impact of left ventricular (LV) unloading on the right heart function and its predictive role regarding weaning following Impella device implantation in patients with profound CS due to LV failure.

Methods
We performed a retrospective analysis of 41 patients admitted to intensive care unit over a period of 3 years with CS due to LV dysfunction requiring support with Impella. Clinical and echocardiographic data were collected and correlated with weaning success. Finally, a multivariate analysis to identify independent predictors of weaning success was performed.

Results
After Impella implantation, the following was observed: right ventricular fractional area change (RVFAC) increased from a mean value of 28% to 38% (p=0.01), the tricuspid annular systolic velocity (TASV) increased from 9 cm/s to 10 cm/s (p=0.01), the velocity time integral right ventricular outflow tract (VTI RVOT) increased from 10 to 13 cm3/stroke (p=0.01), the right ventricular free wall longitudinal strain (RVFWLS) increased from -12% to -21% (p&lt; 0.001). However, following LV unloading, a decrease in both RVFAC from 38% to 30% (p 0.01) and in VTI RVOT from 13 to 11 cm3/stroke (p&lt;0.01) was observed. Moreover, there was a significant decrease in RVFWLS from -21% to -14% (p &lt; 0.001). Notably, the percentage of change in RVFWLS between maximum and minimum (Δ%RVFWLSPmax-Pmin) support with Impella during the weaning process was significantly lower in weanable patients (34.5% in weaned vs 86% in non-weaned; p=0.038). Investigating the predicting ability of these parameters, Δ%RVFWLSPmax-Pmin emerged showing an AUC of 0.826 (0.690-0.962) in identifying non-weaned patients with a cut-off value of 38%. According to the multivariate analysis, Δ%RVFWLSPmax-Pmin in non-weaned patients remained the only significant parameter even considering possible confounders.

Conclusions
LV unloading with Impella in advanced CS patients improved RV function echocardiographic parameters. RVFWLS increased significantly after Impella implantation and its percentage of change between maximum and minimum support was significantly lower in weanable compared to non-weanable patients. Our findings suggest that RVFWLS could be used as a predictor of myocardial recovery allowing to identify weanable patients with adequate accuracy.
Left atrial reservoir strain measured by three-dimensional echocardiography is associated with major adverse cardiovascular events in the general population
Authors: Yafasov M , Javier Olsen F , Dyrby Johansen N , Grundtvig Skaarup K , Christian Hoejbjerg Lassen M , Soegaard P , Boje Jensen G , Schnohr P , Moegelvang R , Biering-Soerensen T 
Published: October 2024

Abstract

Background
Left atrial (LA) strain measured by three-dimensional (3D) echocardiography (3DE) is a novel way of evaluating LA function. The prognostic value of LA strain by 3DE in incident heart failure (HF) and cardiovascular (CV) death has not previously been documented.

Purpose
We south to investigate whether 3D LA strain measures were associated with incident heart failure (HF) and cardiovascular (CV) death in a population at low risk of CV events.

Methods
A total of 1,934 participants from a prospective longitudinal cohort study of the general population underwent a comprehensive transthoracic echocardiographic examination including 3DE where LA reservoir strain (LASr), conduit strain (LAScd) and contraction strain (LASct) were quantified. All participants were at sinus-rhythm during 3DE. The endpoint was a composite of HF and CV death. Cox proportional hazards regression was applied. Multivariable adjustments were made for the ARIC-HF risk score (age, gender, heart rate, systolic blood pressure, antihypertensive medication, diabetes, ischemic heart disease, smoking, and body mass index) and left atrial volume index.

Results
Mean age was 54±17 years, 43% were male. During a median follow-up time of 4.8 years (interquartile range 4.3-5.4 years), 89 participants (4.6%) either developed HF or died of a CV cause. In univariable analysis, LASr and LAScd, but not LASct were significantly associated with the outcome, but after multivariable adjustment only LASr remained significantly associated with outcome (HR 1.04 (95% CI: 1.01-1.08), p=0.016, per 1% decrease) while LAScd and LASct did not. LASr provided incremental prognostic information beyond the ARIC-HF risk score (continuous NRI 0.21±0.11, p=0.027). Compared to participants with a LASr in the 1st tertile (LASr&gt;32%) Participants with an LASr in the in the 3rd tertile (LASr&lt;26.5%) had an almost 7-fold increased risk of HF or CV-death (HR 6.93 (95% CI 3.29-14.58; p=0.001)(Figure).

Conclusion
LA reservoir strain assessed by 3DE was independently associated with incident HF and CV death, which was not the case for LA conduit and contraction strain. In addition, LA reservoir strain added incremental value beyond clinical risk scores.
Three dimensional biatrial expansion index as an independent predictor of outcome in dilated cardiomyopathy
Authors: Vijiiac A E , Scarlatescu A , Petre I , Onciul S , Vatasescu R 
Published: October 2024

Abstract

Background
Left atrial expansion index (LAEI) is a marker of left ventricular (LV) diastolic dysfunction and an outcome predictor in heart failure (HF). However, the role of the right atrial expansion index (RAEI) in the setting of left-sided HF is incompletely understood.

Purpose
We sought to evaluate the left, right and combined bi-atrial expansion index (BAEI) with three-dimensional (3D) echocardiography in a cohort of patients with dilated cardiomyopathy (DCM) and to assess their prognostic role.

Methods
We enrolled 121 consecutive patients (mean age 59±14 years, 74% men) with DCM in sinus rhythm, who underwent 3D echocardiography and were prospectively followed for 19±11 months for an endpoint of death, nonfatal cardiac arrest and HF hospitalization. As previously described, for the left atrium (LA), LAEI was measured as (3D LA Vmax – 3D LA Vmin) x 100/3D LA Vmin, where Vmax was the maximal end-systolic atrial volume and Vmin was the minimal end-diastolic atrial volume. For the right atrium (RA), RAEI was calculated as (3D RA Vmax – 3D RA Vmin) x 100/3D RA Vmin. BAEI was defined as the sum of LAEI and RAEI.

Results
55 patients (46%) reached the endpoint: there were 27 deaths, 5 nonfatal cardiac arrests and 23 readmissions for HF. Patients with adverse outcome had lower LAEI (52±25 vs. 63±36, p=0.047), lower RAEI (57±29 vs. 70±32, p=0.02), lower BAEI (108±46 vs. 133±55, p=0.008). In univariate Cox regression, all three expansion indices were predictors of adverse events: HR=3.23 [95% CI, 1.45-7.20], p=0.004 for LAEI, HR=2.12 [95% CI, 1.24-3.61], p=0.006 for RAEI, HR=3.99 [95% CI, 1.70-9.36], p=0.001 for BAEI. We constructed a multivariable model with well-established event predictors in DCM and one expansion index at a time. After adjustment for age, left ventricular ejection fraction, mitral regurgitation severity and pulmonary artery systolic pressure, all three expansion indices remained independent predictors of the composite endpoint: HR=2.75 [95% CI, 1.18-6.38], p=0.02 for LAEI, HR=1.86 [95% CI, 1.04-3.31], p=0.04 for RAEI, HR=3.53 [95% CI, 1.46-8.51], p=0.005 for BAEI. BAEI yielded the highest incremental prognostic power (likelihood ratio chi2 test=14, p=0.03) on top of the baseline model consisting of age, left ventricular ejection fraction, mitral regurgitation severity and pulmonary artery systolic pressure (likelihood ratio chi2 test=9).

Conclusion
In DCM, 3D atrial expansion indices are significantly lower in patients with major adverse events, reflecting a more impaired atrial reservoir dysfunction. Both LAEI, RAEI and BAEI were independent outcome predictors in patients with DCM. Combining the left and right atrial expansion indices might improve risk stratification, since BAEI had the highest predictive value after adjustment for confounders.
Mechanical wave velocities in acute myocardial infarction: an exploratory study using three-dimensional high frame rate echocardiography
Authors: Halvorsrod M , Mohajery M , Espeland T , Salles S , Stoylen A , Lovstakken L , Grenne B 
Published: October 2024

Abstract

Background
Evaluation of cardiac function is crucial for management of patients with acute myocardial infarction (AMI). Recently, high frame rate (HFR) echocardiography has enabled identification of fast-propagating mechanical waves (MW) within the myocardium. These waves have the potential to offer unique insights into myocardial tissue properties, including edema and fibrosis. However, the potential of 3D HFR echocardiography to accurately quantify MW velocities and thereby assess myocardial stiffness in AMI patients remains unexplored.

Purpose
To assess the feasibility of a novel method for estimating MW velocities using 3D HFR echocardiography in patients with AMI compared to healthy controls.

Methods
Twenty patients with first time ST-elevation myocardial infarction were included within 48 hours after reperfusion therapy. We used a commercially available ultrasound scanner to acquire conventional 3D high-quality (~20 frames per second) acquisitions and subsequent 3D HFR recordings (~820 frames per second). The high-quality recording was used to extract a myocardial mask to define the region of interest in the HFR acquisition to detect the atrial kick wave and generate a comprehensive 3D map of MW propagation and velocities. We compared MW velocities between these patients and twenty age- and sex-matched healthy controls.

Results
MW velocities were successfully measured in 93% of participants (17 patients and 20 controls). Global MW velocities were significantly higher in AMI patients compared to healthy controls (2.1±0.6m/s vs. 1.5±0.2m/s, p&lt;0.001). Territorial values, corresponding to the theoretical perfusion area of the three main coronary arteries, were significantly higher in infarct-related territories in patients when compared to same territories in controls for all coronary territories: Right coronary artery: 1.9±0.7 m/s vs. 1.4±0.3m/s, p&lt;0.05; Circumflex artery: 3.1±1.5m/s vs. 1.7±0.4m/s, p&lt;0.01; and Left anterior descending artery: 1.8±0.5m/s vs. 1.4±0.2m/s, p&lt;0.01.

Conclusions
Estimation of MW velocities using a novel 3D HFR echocardiography method was feasible in most patients with AMI and all healthy controls. MW velocities were higher in patients compared to healthy controls and infarcted compared to non-infarcted coronary territories. These findings confirm the potential of non-invasive myocardial tissue characterization by MW imaging.Boxplot of MW velocities3D HFR MW visualisation
Multi-vendor validation of automated left ventricular analysis from 3D echocardiography using artificial intelligence
Authors: Dillon J R , Zhao D , Ferdian E , Quill G M , Bhuva A N , Manisty C , D'silva A , Moon J , Lloyd G W , Edwards N C , Legget M E , Doughty R N , Young A A , Nash M P 
Published: October 2024

Abstract

Background
Accurate echocardiographic assessment of left ventricular (LV) function is dependent on both image acquisition and analysis. Although 3D echocardiography (3DE) is increasingly recommended for volume quantification, manually derived volumes are limited by operator subjectivity, variable image quality, and the lengthy duration of analysis. Consequently, several automated approaches based on artificial intelligence (AI) have been proposed to segment the LV cavity from 3DE and have demonstrated better accuracy and reproducibility compared to human experts. While the utility of AI models in the clinic depends on their ability to generalise to different populations and ultrasound vendors, the external validation of developed models remains limited.

Purpose
This study evaluates the ability of an existing AI model trained using data from a single vendor to accurately estimate routine 3DE LV indices in an independent external dataset acquired using equipment from a different vendor.

Methods
A previously published and internally validated deep learning model for segmentation of the LV cavity and myocardium from 3DE was used to automatically derive LV indices including end-diastolic volume (EDV), end-systolic volume (ESV), LV mass, and ejection fraction (EF) [1]. A second independent dataset consisting of paired 3DE and CMR images from 65 marathon runners from a different centre (using equipment from a different vendor) was subsequently used for external validation. Images from both datasets were subjectively scored from 1 (poor) to 5 (excellent) as a measure of image quality. Agreement with CMR as the reference was assessed using a two-way mixed effects intraclass correlation coefficient (ICC), supplemented by Bland-Altman analysis, to determine the model bias (between 3DE and CMR) and 95% limits of agreement (LOA). To assess whether performance could be improved by inclusion of multi-vendor data during training, the initial model was fine-tuned using a small subset (n=9) of images from the second centre.

Results
The mean image quality score from the second dataset was 2.5 (± 1.1), which was significantly lower than the mean of 3.4 (± 1.0) from the first dataset. Despite vendor and image quality differences, the initial model produced good agreement with CMR in EDV, ESV, and LV mass but only poor agreement in EF (Fig 1). Fine tuning greatly improved agreement in EF with reduced bias and narrower 95% LOA (Fig 2).

Conclusion
With the addition of a small number of cases for fine-tuning, AI models for automated LV analysis can achieve good performance analysing 3DE images acquired from a different vendor and population. Advancing model generalisability through more sophisticated data augmentation strategies may enable truly vendor-agnostic automated LV analysis from 3DE.