Detection of Cardiotoxicity Using Right Ventricular Free Wall Longitudinal Strain in Low Cardiovascular Risk Breast Cancer Patients Receiving Low-Dose Anthracycline Treatment.

Objective Breast cancer patients who receive chemotherapy may develop cancer therapy-related cardiovascular toxicity, particularly if they have pre-existing cardiovascular risk factors. Notably, right ventricle dysfunction may manifest before the left ventricle. Our study aims to compare conventional echocardiography with global longitudinal strain (GLS) in low cardiovascular risk patients on low-dose anthracycline, focusing on early cardiotoxicity detection. Additionally, we explore the predictive role of right ventricular free wall longitudinal strain (RVFWLS) in cardiotoxicity. Methods In a recent study, 28 women with low cardiovascular risk who underwent low-dose anthracycline chemotherapy for breast cancer were assessed for cardiac function using two-dimensional echocardiography and speckle-tracking echocardiography. The measurements included left ventricular ejection fraction (LVEF), right ventricular systolic function (RVS'), tricuspid annular plane systolic excursion (TAPSE), left ventricular global longitudinal strain (LVGLS), and RVFWLS. All patients had normal LVEF at the beginning of the study. Cardiotoxicity was defined as a new decrease in LVEF by 10% or below 53% and/or changes in LVGLS/RVFWLS by 15%. Results In our study, no significant changes were observed in the LVEF following chemotherapy treatment. The LVEF values remained stable, changing slightly from 63 ± 3.7 to 65.0 ± 3.4, with a t-test value of 1.790 and a p-value of 0.079. Similarly, the analysis found no significant changes in RVS' and TAPSE values following chemotherapy treatment. However, significant changes were observed in strain measurements. LVGLS decreased from -21.2 ± 2.1 to -18.6 ± 2.6 (t-test = -4.116; df = 54, p=0.001), and RVFWLS decreased from -25.2 ± 2.9 to -21.4 ± 4.4 (t-test = -3.82; df = 54, p=0.001). Notably, 35% of participants showed changes in RVFWLS greater than 15%, whereas LVGLS changed by less than 15%. This indicates that RVFWLS is more sensitive to the treatment compared to LVGLS. Conclusions The study results indicate that during the initial phases of chemotherapy treatment in low cardiovascular risk patients, early changes in strain measures reveal subclinical cardiotoxicity. This suggests that GLS measurements are more effective at detecting early signs of myocardial damage and potential deterioration in cardiac function than traditional echocardiographic parameters. Additionally, it is noteworthy that RVFWLS exhibits greater sensitivity to these changes, regardless of the chemotherapy dosage and regimen.

Elevated Troponins and Diagnosis of Non-ST-Elevation Myocardial Infarction in the Emergency Department.

Background In the emergency department (ED), the diagnosis of non-ST-elevation myocardial infarction (NSTEMI) is primarily based on the presence or absence of elevated cardiac troponin levels, ECG changes, and clinical presentation. However, limited data exist regarding the incidence, clinical characteristics, and predictive value of different cardiac diagnostic tests and outcomes in patients with non-acute coronary syndrome (ACS)-related troponin elevation. Our study aimed to determine the percentage of patients with elevated troponin levels who had true ACS and identify various risk factors associated with true ACS in these patients. Methodology This was a single-center retrospective study. We performed a chart review of patients who presented to the ED from January 1, 2016, to December 31, 2017, and were admitted to the hospital with an elevated cardiac troponin I level in the first 12 hours after ED presentation with a diagnosis of NSTEMI. True ACS was defined as (a) patients with typical symptoms of ischemia and ECG ischemic changes and (b) patients with atypical symptoms of myocardial ischemia or without symptoms of ischemia and new segmental wall motion abnormalities on echocardiogram or evidence of culprit lesion on angiography. A logistic regression model was used to determine the association between risk factors and true ACS. Results A total of 204 patients were included in this study. The mean age of the study group was 67.4 ± 14.5 years; 53.4% (n = 109) were male, and 57.4% (n = 117) were Caucasian. In our study, 51% of patients were found to have true ACS, and the remaining 49% had a non-ACS-related elevation in troponins. Most patients without ACS had alternate explanations for elevated troponin levels. The presence of chest pain (odds ratio (OR) = 3.7, 95% confidence interval (CI) = 1.8-7.7, p = 0.001), tobacco smoking (OR = 4, 95% CI = 1.06-3.8, p = 0.032), and wall motion abnormalities on echocardiogram (OR = 3.8, 95% CI = 1.8-6.5, p = 001) were associated with increased risk of true ACS in patients with elevated troponins. Conclusions Cardiac troponin levels can be elevated in hospitalized patients with various medical conditions, in the absence of ACS. The diagnosis of ACS should not be solely based on elevated troponin levels, as it can lead to expensive workup and utilization of hospital resources.

Association of uncertain significance genetic variants with myocardial mechanics and morphometrics in patients with nonischemic dilated cardiomyopathy.

BACKGROUND: Careful interpretation of the relation between phenotype changes of the heart and gene variants detected in dilated cardiomyopathy (DCM) is important for patient care and monitoring. OBJECTIVE: We sought to assess the association between cardiac-related genes and whole-heart myocardial mechanics or morphometrics in nonischemic dilated cardiomyopathy (NIDCM). METHODS: It was a prospective study consisting of patients with NIDCM. All patients were referred for genetic testing and a genetic analysis was performed using Illumina NextSeq 550 and a commercial gene capture panel of 233 genes (Systems Genomics, Cardiac-GeneSGKit®). It was analyzed whether there are significant differences in clinical, two-dimensional (2D) echocardiographic, and magnetic resonance imaging (MRI) parameters between patients with the genes variants and those without. 2D echocardiography and MRI were used to analyze myocardial mechanics and morphometrics. RESULTS: The study group consisted of 95 patients with NIDCM and the average age was 49.7 ± 10.5. All echocardiographic and MRI parameters of myocardial mechanics (left ventricular ejection fraction 28.4 ± 8.7 and 30.7 ± 11.2, respectively) were reduced and all values of cardiac chambers were increased (left ventricular end-diastolic diameter 64.5 ± 5.9 mm and 69.5 ± 10.7 mm, respectively) in this group. It was noticed that most cases of whole-heart myocardial mechanics and morphometrics differences between patients with and without gene variants were in the genes GATAD1, LOX, RASA1, KRAS, and KRIT1. These genes have not been previously linked to DCM. It has emerged that KRAS and KRIT1 genes were associated with worse whole-heart mechanics and enlargement of all heart chambers. GATAD1, LOX, and RASA1 genes variants showed an association with better cardiac function and morphometrics parameters. It might be that these variants alone do not influence disease development enough to be selective in human evolution. CONCLUSIONS: Combined variants in previously unreported genes related to DCM might play a significant role in affecting clinical, morphometrics, or myocardial mechanics parameters.

Significant Disagreement Between Conventional Parameters and 3D Echocardiography-Derived Ejection Fraction in the Detection of Right Ventricular Systolic Dysfunction and Its Association With Outcomes.

AIMS: Conventional echocardiographic parameters such as tricuspid annular plane systolic excursion (TAPSE), fractional area change (FAC), and free-wall longitudinal strain (FWLS) offer limited insights into the complexity of right ventricular (RV) systolic function, while 3D echocardiography-derived RV ejection fraction (RVEF) enables a comprehensive assessment. We investigated the discordance between TAPSE, FAC, FWLS, and RVEF in RV systolic function grading and associated outcomes. METHODS: We analyzed two- and three-dimensional echocardiography data from 2 centers including 750 patients followed up for all-cause mortality. Right ventricular dysfunction was defined as RVEF <45%, with guideline-recommended thresholds (TAPSE <17 mm, FAC <35%, FWLS >-20%) considered. RESULTS: Among patients with normal RVEF, significant proportions exhibited impaired TAPSE (21%), FAC (33%), or FWLS (8%). Conversely, numerous patients with reduced RVEF had normal TAPSE (46%), FAC (26%), or FWLS (41%). Using receiver-operating characteristic analysis, FWLS exhibited the highest area under the curve of discrimination for RV dysfunction (RVEF <45%) with 59% sensitivity and 92% specificity. Over a median 3.7-year follow-up, 15% of patients died. Univariable Cox regression identified TAPSE, FAC, FWLS, and RVEF as significant mortality predictors. Combining impaired conventional parameters showed that outcomes are the worst if at least 2 parameters are impaired and gradually better if only one or none of them are impaired (log-rank P < .005). CONCLUSION: Guideline-recommended cutoff values of conventional echocardiographic parameters of RV systolic function are only modestly associated with RVEF-based assessment. Impaired values of FWLS showed the closest association with the RVEF cutoff. Our results emphasize a multiparametric approach in the assessment of RV function, especially if 3D echocardiography is not available.

Impact on carotid intima-media thickness after laparoscopic sleeve gastrectomy in patients with morbid obesity.

BACKGROUND: We aimed to investigate the impact of laparoscopic sleeve gastrectomy (LSG) on carotid intima-media thickness (CIMT) & left ventricular dysfunction (LVD) which are the independent predictors of subclinical atherosclerosis. METHODS: To assess the change in CIMT & echocardiographic parameters of left ventricular function & correlate with %EWL 6 months and 12 months after LSG, the mean CIMT of bilateral common carotid arteries were measured at 3 different places & 7 parameters were assessed for left ventricular dysfunction after 6 and 12 months of LSG & correlated with the %EWL. RESULTS: A total of 30 patients (27(90%) women & 3(10%) men) with the mean age of 38 ± 7.84 were prospectively enrolled. BMI was significantly reduced from 42.66 ± 3.79 to 37.93 ± 3.60 kg/m2 at six months to 36 ± 3.34 at 12 months after LSG. CIMT values were significantly decreased at 6 months after surgery from 0.50 ± 0.11 mm to 0.46 ± 0.09 mm (p < 0.01) to 0.39 ± 0.07 (p < 0.05) at 12 months. However, no significant change was observed in the right mean CCA values at 6 months after surgery 0.50 ± 0.11 mm vs 0.47 ± 0.09 mm (p = 0.07) as compared to decrease at 12 months after surgery to 0.40 ± 0.08 (p < 0.05). Left mean CCA values at 6 months changed from 0.50 ± 0.11 to 0.45 ± 0.09 (p < 0.01) and at 12 months after surgery to 0.39 ± 007(p < 0.05). On 2D ECHO, ejection fraction increased at 6 months from 60.80 ± 5.89 to 61.93 ± 4.47 (p < 0.5) to after 12 months at 64.30 ± 4.20 (p < 0.05). Wave deceleration time changed at 6 months from 170 ± 36.80 to 150 ± 28.82 (p < 0.05) to 12 months 139.07 ± 17.98 (p < 0.05). Peak early diastolic mitral annular velocity (e) changed at 6 months from 8.12 ± 1.66 to 7.02 ± 1.76 (p < 0.05) to 12 months 6.33 ± 0.76 (p < 0.05). Inter-ventricular septum thickness (IVSD) changed at 6 months from 0.99 ± 0.14 to 0.91 ± 0.14 (p < 0.05) to 12 months 0.82 ± 0.09 (p < 0.05). Intraventricular relaxation time (IVRT) at 6 months changed from 94.33 ± 21.71 to 84.36 ± 14.85 (p < 0.03) to 12 months after surgery 77.40 ± 10.19 (p < 0.05). Left atrial volume index (LAVI) at 6 months decreased from 38.08 ± 11.23 to 30.93 ± 7.16 (p < 0.01) to 12 months after surgery 25.43 ± 3.65 (p < 0.05). Left ventricular diastolic dysfunction [LVIDD] at 6 months changed from 4.32 ± 0.52 to 4.11 ± 0.52 (p < 0.02) to 3.94 ± 0.26 (p < 0.05) to 3.94 ± 0.26 (p < 0.05) at 12 months after surgery. PwD at 6 and 12 months changed from 1.00 ± 0.19 to 0.87 ± 0.10 (p < 0.01) to 0.82 ± 0.08 (p < 0.05) respectively. LV mass changed in 6 months from 148.37 ± 33.09 to 117 ± 29.90 (p < 0.001) to 12 months at 110.64 ± 20.79 (p < 0.05) and left ventricular mass index [LVMI] changed in 6 months from 70 ± 16.89 to 59.626 ± 15.35 (p < 0.001) reaching a value of 57.53 ± 11.18 (p < 0.05) at 12 months. The mean 10-year risk of death due to CVD calculated was significantly reduced from 5.45 ± 6.6 to 2.8 ± 1.7% at 6 months (p < 0.05). This significant decrease in CVD risk has a positive correlation with the decrease in CIMT over 6 months showing a correlation coefficient of 0.018 with statistically significant analysis (p value < 0.05). CONCLUSION: We observed a significant reduction in CIMT & improvement in 2D ECHO parameters at 6 after LSG although no statistically significant change was observed in mean right CIMT & EF at 6 months.

Prolapsing Intrigue: A Case of Superior Vena Cava Mass Visualized by Echocardiography From the Subcostal Window Unveiling an Anterior Mediastinal Type B2 Thymoma.

Imaging the superior vena cava (SVC) during two-dimensional (2D) transthoracic echocardiographic examination is challenging and should be performed routinely. Here, we present a case where a lower (juxta-atrial) SVC mass was seen prolapsing into the right atrium by 2D transthoracic echocardiography; in this case, the imaging of the lower (juxta-atrial) SVC was done from the subcostal window. It was not possible to image the SVC from the suprasternal, right supraclavicular, left parasternal, or apical windows. CT scan of the chest with intravenous contrast was done in this case and showed an anterior mediastinal mass invading the SVC and prolapsing into the right atrium. CT-guided biopsy proved the mass to be a type B2 thymoma.

Potential Prognostic Relevance of Left-Ventricular Global Longitudinal Strain and of the Summation of the Mitral and Tricuspid Regurgitation Volume in Patients with Non-Ischemic Dilated Cardiomyopathy.

BACKGROUND: The aim of this pilot study was to determine the potential prognostic relevance of novel multidirectional myocardial and volumetric echocardiographic parameters in patients with non-ischemic dilated cardiomyopathy (NIDCM). METHODS: Multidirectional myocardial parameters (longitudinal, radial, and circumferential left-ventricular (LV) strain using speckle tracking echocardiography) and a new volumetric parameter (the sum of the mitral and tricuspid regurgitation volume (mitral-tricuspid regurgitation volume) were assessed. The cardiovascular (CV) outcome was a composite of cardiac death and hospitalization for heart failure (HF) at 1 year. RESULTS: Approximately 102 patients were included in this pilot study. The mean LV ejection fraction (LVEF) was 28.4 ± 8.9%. During a follow-up of 1 year, the CV outcome occurred in 39 patients (10 HF deaths, and 36 hospitalizations for HF). The LV global longitudinal systolic strain (GLS) and mitral-tricuspid regurgitation volume were the main parameters that were seen to be significantly altered in the comparison of patients with events vs. those without events (GLS (absolute values) 7.4 ± 2.7% vs. 10.3 ± 2.6%; mitral-tricuspid regurgitation volume 61.1 ± 20.4 mL vs. 40.9 ± 22.9 mL, respectively; p-value < 0.01). In line with these findings, in a multivariate continuous logistic regression analysis, the GLS and mitral-tricuspid regurgitation volume were the main parameters associated with worse CV outcomes (GLS: OR 0.77 (95%CI 0.65-0.92); mitral-tricuspid regurgitation volume OR 1.09 (95%CI 1.01-1.25)), whereas the radial and circumferential LV global strain and mitral regurgitation volume and tricuspid regurgitation volume were not linked to the CV outcome. Furthermore, in a receiver operating characteristic curve analysis, a GLS cutoff of <7.5% and mitral-tricuspid regurgitation volume > 60 mL were the identified values for the parameters associated with worse CV outcomes. CONCLUSIONS: The findings of this pilot study suggest that the GLS and a novel volumetric parameter (the sum of the mitral and tricuspid regurgitation volume) are linked to worse CV outcomes in patients with non-ischemic dilated cardiomyopathy. Hence, these promising results warrant further validation in larger studies.

Prevalence of cardiac abnormalities and heart failure in unselected out-patients with type 2 diabetes mellitus and associated clinical factors: Real-world evidence from an Indian registry.

OBJECTIVE: Type 2 diabetes mellitus (T2DM) is known to be associated with development of left ventricular (LV) dysfunction and heart failure (HF). The study aimed to determine the prevalence of LV dysfunction and HF in unselected out-patients with T2DM with no previous cardiac history and to correlate LV dysfunction and HF with demographic and comorbid characteristics. METHODS: This cross-sectional study conducted at 27 centers in India captured demographic and clinical data through electronic case record forms. B-type natriuretic peptide of >105 pg/mL was used to diagnose HF and two-dimensional echocardiography was used to assess LV dysfunction. RESULTS: Of the 615 patients, 54.3 % (n = 334) were males; mean age was 57.4 ± 10.48 years. More than one-third of the patients had T2DM duration of >10 years (n = 238; 38.7 %), with hypertension as the most prevalent comorbidity (n = 372, 78.6 %). Approximately 61.3 % of the patients had LV hypertrophy. The mean LV mass was 135.0 ± 56.16 g (95 % CI 130.28, 139.70). The prevalence of any type of LV dysfunction, including systolic or diastolic dysfunction and HF was 55 % (95 % CI 51.0, 59.0) and 10 % (95 % CI 7.0, 12.0), respectively. A negligible but statistically significant correlation was observed between LV dysfunction and T2DM duration (p = 0.011), alongside HF and age (p < 0.0001). CONCLUSION: Real-world data from this registry from India demonstrates a substantial burden of LV dysfunction and HF in individuals with T2DM in India. It is imperative to formulate strategies for early identification of LV dysfunction in individuals with T2DM for prevention and consequent management of HF.

Prognostic Significance of Diastolic Dysfunction in Type 2 Diabetes Mellitus Patients With Sepsis and Septic Shock: Insights From a Longitudinal Tertiary Care Study.

BACKGROUND: Sepsis is one of the leading contributors to global mortality and morbidity, causing multi-organ failure, mainly involving cardiovascular failure, both systolic and diastolic dysfunction, leading to adverse clinical outcomes. There is little clinical data on the correlation with the mortality of patients with type 2 diabetes mellitus (T2DM) with sepsis and septic shock and left ventricular diastolic dysfunction. Our study sought to assess whether the severity of diastolic dysfunction could predict 28-day mortality. METHODOLOGY: The study included T2DM patients admitted to the intensive care unit (ICU) with sepsis and septic shock defined according to the Third International Consensus Definitions for Sepsis and Septic Shock at a tertiary care center in northern India. A total of 132 patients (age = 61.01 ± 13.12 years; 62% male; mean APACHE II (Acute Physiology and Chronic Health Evaluation II) score = 25.74 ± 4.79; Sequential Organ Failure Assessment (SOFA) score = 12.34 ± 3.36) underwent transthoracic echocardiography within two hours of ICU admission till 28 days of admission or till mortality occurred. Clinical variables (APACHE II and SOFA score) and cardiac biomarkers, such as N-terminal pro-B-type natriuretic peptide (NT-pro-BNP), troponin I, and creatine phosphokinase-MB, were measured at the time of admission and after 72 hours to compare with mortality. Diastolic dysfunction was defined according to the American Society of Echocardiography (ASE) 2009 guidelines, classifying subjects into grade 0 (normal), if early diastolic velocity (e') ≥ 8 cm/s; grade 1 (impaired relaxation), if e' < 8 cm/s and early (E) to late (A) ventricular filling velocities (E/A) ratio < 0.8; grade 2 (pseudo normal), if e' < 8 cm/s, E/A = 0.8-1.5, and peak E-wave velocity by the peak e' velocity (E/e') ratio = 9-12; and grade 3 (restrictive), if e' < 8 cm/s, E/A > 2, deceleration time (DT) < 160 ms, and E/e' ≥ 13. RESULTS: Thirty-seven (40.65%) out of 132 patients had diastolic dysfunction on initial echocardiography, while 54 (59.34%) had diastolic dysfunction on at least subsequent echocardiography. Total mortality was 68.93% with the highest mortality (100%) observed among those with grade 3 diastolic dysfunction. The 28-day mortality with diastolic dysfunction in sepsis and septic shock patients showed significant results (p < 0.001), indicating that with a higher E/A ratio or higher grade of diastolic dysfunction with the increase in SOFA score, the early ICU mortality is the highest and have the shortest duration of ICU stay with mean ± SD = 6.2 ± 2.48, as compared to other grades with 100% mortality. Also, the cardiac biomarker NT-pro-BNP was markedly elevated with a mean ± SD value of 503 ± 269.3 pg/ml, indicating early predicted mortality. No correlation was detected between mortality and the mean levels of fasting blood sugar, postprandial blood sugar, and glycosylated hemoglobin. CONCLUSION: Our study concluded that diastolic dysfunction is an important and strongest independent mortality predictor in patients with T2DM with severe sepsis and septic shock, and the higher the grade of diastolic dysfunction, the higher the mortality with the lowest mean ICU stay.

Non-alcoholic Fatty Liver Disease and Its Association With Left Ventricular Diastolic Dysfunction: A Systematic Review.

The commonest cause of hepatic illness globally is non-alcoholic fatty liver disease (NAFLD). This multisystemic disease affects extrahepatic organs, including the heart. It causes cardiac remodeling and a disruption of the systolic and diastolic functioning of the left ventricle. Numerous studies have investigated the connection between NAFLD and left ventricular diastolic dysfunction (LVDD). The results, nevertheless, are often contradictory. This systematic review looked at the relationship between NAFLD and LVDD generally and among different patient groups since it is a topic of interest. A thorough search approach was used to locate relevant publications published between 2003 and 2023 using major medical databases. Studies were chosen based on the pre-established eligibility criteria; the studies selected then underwent a critical evaluation using standardized quality assessment tools. For the systematic review, 13 articles were chosen, comprising nine cross-sectional studies, three narrative reviews, and one meta-analysis. There were a total of 13,341 NAFLD patients in these studies. Data extraction and qualitative synthesis from the selected research articles were conducted to determine the relationship between NAFLD and LVDD in various patient categories. We found a significant association between NAFLD and LVDD. Therefore, patients with NAFLD should be treated early to avoid complications since they are more likely to develop cardiac dysfunction in the future.

Noninvasive assessment of left ventricular end-diastolic pressure using machine learning-derived phasic left atrial strain.

AIMS: While transthoracic echocardiography (TTE) assessment of left ventricular end-diastolic pressure (LVEDP) is critically important, the current paradigm is subject to error and indeterminate classification. Recently, peak left atrial strain (LAS) was found to be associated with LVEDP. We aimed to test the hypothesis that integration of the entire LAS time curve into a single parameter could improve the accuracy of peak LAS in the noninvasive assessment of LVEDP with TTE. METHODS AND RESULTS: We retrospectively identified 294 patients who underwent left heart catheterization and TTE within 24 h. LAS curves were trained using machine learning (100 patients) to detect LVEDP ≥ 15 mmHg, yielding the novel parameter LAS index (LASi). The accuracy of LASi was subsequently validated (194 patients), side by side with peak LAS and ASE/EACVI guidelines, against invasive filling pressures. Within the validation cohort, invasive LVEDP was elevated in 116 (59.8%) patients. The overall accuracy of LASi, peak LAS, and American Society of Echocardiography/European Association for Cardiovascular Imaging (ASE/EACVI) algorithm was 79, 75, and 76%, respectively (excluding 37 patients with indeterminate diastolic function by ASE/EACVI guidelines). When the number of LASi indeterminates (defined by near-zero LASi values) was matched to the ASE/EACVI guidelines (n = 37), the accuracy of LASi improved to 87%. Importantly, among the 37 patients with ASE/EACVI-indeterminate diastolic function, LASi had an accuracy of 81%, compared with 76% for peak LAS. CONCLUSION: LASi allows the detection of elevated LVEDP using invasive measurements as a reference, at least as accurately as peak LAS and current diastolic function guideline algorithm, with the advantage of no indeterminate classifications in patients with measurable LAS.

Improved right ventricular strain estimation in rats using anisotropic diffusion filtering.

Calculating cardiac strains through speckle tracking echocardiography (STE) has shown promise as prognostic markers linked to functional indices and disease outcomes. However, the presence of acoustic shadowing often challenges the accuracy of STE in small animals such as rodents. The shadowing arises due to the complex anatomy of rodents, with operator dexterity playing a significant role in image quality. The effects of the semi-transparent shadows are further exacerbated in right ventricular (RV) imaging due to the thinness and rapid motion of the RV free wall (RVFW). The movement of the RVFW across the shadows distorts speckle tracking and produces unnatural and non-physical strains. The objective of this study was to minimize the effects of shadowing on STE by distinguishing "out-of-shadow" motion and identifying speckles in and out of shadow. Parasternal 2D echocardiography was performed, and short-axis B-mode (SA) images of the RVFW were acquired for a rodent model of pulmonary hypertension (n = 1). Following image acquisition, a denoising algorithm using edge-enhancing anisotropic diffusion (EED) was implemented, and the ensuing effects on strain analysis were visualized using a custom STE pipeline. Speckles in the shadowed regions were identified through a correlation between the filtered image and the original acquisition. Thus, pixel movement across the boundary was identified by enhancing the distinction between the shadows and the cardiac wall, and non-physical strains were suppressed. The strains obtained through STE showed expected patterns with enhanced circumferential contractions in the central region of the RVFW in contrast to smaller and nearly uniform strains derived from the unprocessed images.

Emerging role of computed tomography coronary angiography in evaluation of children with Kawasaki disease.

Coronary artery abnormalities are the most important complications in children with Kawasaki disease (KD). Two-dimensional transthoracic echocardiography currently is the standard of care for initial evaluation and follow-up of children with KD. However, it has inherent limitations with regard to evaluation of mid and distal coronary arteries and, left circumflex artery and the poor acoustic window in older children often makes evaluation difficult in this age group. Catheter angiography (CA) is invasive, has high radiation exposure and fails to demonstrate abnormalities beyond lumen. The limitations of echocardiography and CA necessitate the use of an imaging modality that overcomes these problems. In recent years advances in computed tomography technology have enabled explicit evaluation of coronary arteries along their entire course including major branches with optimal and acceptable radiation exposure in children. Computed tomography coronary angiography (CTCA) can be performed during acute as well as convalescent phases of KD. It is likely that CTCA may soon be considered the reference standard imaging modality for evaluation of coronary arteries in children with KD.

Automated Detection of Apical Foreshortening in Echocardiography Using Statistical Shape Modelling.

OBJECTIVE: Automated detection of foreshortening, a common challenge in routine 2-D echocardiography, has the potential to improve quality of acquisitions and reduce the variability of left ventricular measurements. Acquiring and labelling the required training data is challenging due to the time-intensive and highly subjective nature of foreshortened apical views. We aimed to develop an automatic pipeline for the detection of foreshortening. To this end, we propose a method to generate synthetic apical-four-chamber (A4C) views with matching ground truth foreshortening labels. METHODS: A statistical shape model of the four chambers of the heart was used to synthesise idealised A4C views with varying degrees of foreshortening. Contours of the left ventricular endocardium were segmented in the images, and a partial least squares (PLS) model was trained to learn the morphological traits of foreshortening. The predictive capability of the learned synthetic features was evaluated on an independent set of manually labelled and automatically curated real echocardiographic A4C images. RESULTS: Acceptable classification accuracy for identification of foreshortened views in the testing set was achieved using logistic regression based on 11 PLS shape modes, with a sensitivity, specificity and area under the receiver operating characteristic curve of 0.84, 0.82 and 0.84, respectively. Both synthetic and real cohorts showed interpretable traits of foreshortening within the first two PLS shape modes, reflected as a shortening in the long-axis length and apical rounding. CONCLUSION: A contour shape model trained only on synthesized A4C views allowed accurate prediction of foreshortening in real echocardiographic images.

Instant Endocarditis Diagnosis Using Point-of-Care Ultrasound (POCUS) in a Patient Diagnosed With Pneumonia.

Acute bacterial endocarditis is an acute febrile illness that spreads hematogenously and can be fatal if it is not treated in a timely fashion. A traditional physical examination has very limited sensitivity and specificity when diagnosing bacterial endocarditis. Point-of-care ultrasound (POCUS) during the physical exam can assist with the diagnosis by evaluating for valvular regurgitation or visible vegetation. In this case, a patient presented to the hospital with a cough and shortness of breath and was diagnosed with pneumonia. She did not improve with intravenous antibiotics and a POCUS exam revealed the diagnosis was in fact bacterial endocarditis and not pneumonia. This led to further imaging, which revealed an abdominal abscess. This highlights the importance of incorporating POCUS into the physical exam of any patient presenting with cardiopulmonary symptoms.

Assessment of left atrial morphological and functional differences in professional male football players: a prospective, case-control study.

BACKGROUND: Intensive physical activity in athletes leads to considerable changes in the morphology and physiology of the left atrium through physiological, exercise-induced remodelling. AIM: This study aimed to assess the mechanical and electrophysiological changes in professional football players using electrocardiographic and echocardiographic assessment tools. METHODS: This prospective, case-control study was performed between February and June 2022. The population consisted of elite male football players (n = 49, group F) as the study group, and healthy male non-athlete individuals of matching age (n = 50, group C) as the control group. All participants underwent electrocardiographic and echocardiographic (two-dimensional and tissue Doppler) examinations. Volumetric and functional assessment of the left atrium was identified as the study's primary outcome. RESULTS: There was no significant difference between the groups in terms of demographic and morphometric characteristics (p > 0.05). Maximum and minimum P waves and PR-interval duration were significantly higher in group F than in group C (p = 0.011, p = 0.005 and p < 0.001). Diameter, maximum and minimum volumes of the left atrium, and their corresponding indexes were significantly increased in group F (p < 0.0). Ejection fraction of the left atrium was significantly lower in group F than in group C (p = 0.001). Pulmonary acceleration time and tricuspid annular plane systolic excursion was significantly higher in the football players (p = 0.023 and p < 0.001). CONCLUSIONS: Increased diameter, maximum and minimum volumes of the left atrium, and their corresponding indexes could be demonstrated in the elite football players. The morphological and functional changes in the left atrium might be a physiological consequence of left atrial cardiac remodelling to intensive and chronic training.

Uncorrected pentalogy of Fallot with successful pregnancy-A case report.

Pentalogy of Fallot (PoF) is a congenital heart disease comprising tetralogy of Fallot plus an atrial septal defect (ASD). Patients are diagnosed early in life and submitted to reparative surgery. Without it, the prognosis is poor. This female patient, initially diagnosed with transposition of great arteries (TGA), ASD and a ventricular septal defect, got pregnant at 26 years old and had an early delivery due to fetal distress. She resumed follow-up, and her last echocardiogram put in doubt the diagnosis of TGA. Cardiac CT then revealed a PoF as well as pulmonary arteriovenous fistulas and a persistent left superior vena cava.

Relationships of Whole-Heart Myocardial Mechanics and Cardiac Morphometrics by Transthoracic Echocardiography with Main Prognostic Factors of Heart Failure in Non-Ischemic Dilated Cardiomyopathy.

BACKGROUND: there are many prognostic factors of heart failure (HF) based on their evaluation from imaging, to laboratory tests. In clinical practice, it is crucial to use widely available, cheap, and easy-to-use prognostic factors, such as left ventricular ejection fraction (LVEF), New York Heart Association (NYHA) functional class, 6 min walk test (6MWT), B-type natriuretic peptide (BNP), etc. We sought to evaluate the relationships between whole-heart myocardial mechanics and cardiac morphometrics with the main commonly used prognostic factors of HF in patients with non-ischemic dilated cardiomyopathy (NIDCM). METHODS AND RESULTS: two-dimensional (2D) echocardiography for myocardial mechanics (global longitudinal, radial, and circumferential strains of the left ventricle; right ventricular longitudinal strain; strain values of reservoir, conduit, and contraction function of both atria) and cardiac morphometric (diameters and volumes of both atria and ventricles) parameters were performed, and the HF main traditional prognostic factors were identified. We assessed 109 patients (68.8% male; 49.7 ± 10.5 years) with newly diagnosed NIDCM. Myocardial mechanics and morphometrics were weakly correlated with the patient's age, gender, and smoking (R = 0.2, p < 0.05). Stronger relationships were observed with NYHA class, 6MWT, and BNP (the strongest correlations were with LVEF: R = -0.499, R 0.462, R = -0.461, p < 0.001, respectively). There were moderately strong correlations with LVEF and other whole-heart myocardial mechanics or morphometrics. Moreover, LVEF with global regurgitation volume (GRV) and right ventricle free wall longitudinal strain (RVFWLS) were the most usually detected parameters in multivariate analysis to be associated with changes in HF prognostic factors. CONCLUSIONS: in NIDCM patients, the main prognostic factors of HF are correlated with whole-heart myocardial mechanics and morphometrics. However, LVEF, GRV, and RVFWLS are the most usually found 2D echocardiographic factors associated with changes in HF prognostic factors.

Left Atrial Strain in the Assessment of Diastolic Function in Heart Failure: A Machine Learning Approach.

BACKGROUND: Diastolic dysfunction (DD) assessment in heart failure is still challenging. Peak atrial longitudinal strain (PALS) is strongly related to end-diastolic pressure and prognosis, but it is still not part of standard DD assessment. We tested the hypothesis that a machine learning approach would be useful to include PALS in DD classification and refine prognostic stratification. METHODS: In a derivation cohort of 864 heart failure patients in sinus rhythm (age, 66.6±12 years; heart failure with reduced ejection fraction, n=541; heart failure with mildly reduced ejection fraction, n=129; heart failure with preserved ejection fraction, n=194), machine learning techniques were retrospectively applied to PALS and guideline-recommended diastolic variables. Outcome (death/heart failure rehospitalization) of the identified DD-clusters was compared with that by guidelines-based classification. To identify the best combination of variables able to classify patients in one of the identified DD-clusters, classification and regression tree analysis was applied (with DD-clusters as dependent variable and PALS plus guidelines-recommended diastolic variables as explanatory variables). The algorithm was subsequently validated in a prospective cohort of 189 heart failure outpatients (age, 65±13 years). RESULTS: Three distinct echocardiographic DD-clusters were identified (cluster-1, n=212; cluster-2, n=376; cluster-3 DD, n=276), with modest agreement with guidelines-recommended classification (kappa=0.40; P<0.001). DD-clusters were predicted by a simple algorithm including E/A ratio, left atrial volume index, E/e' ratio, and PALS. After 36.5±29.4 months follow-up, 318 events occurred. Compared to guideline-based classification, DD-clusters showed a better association with events in multivariable models (C-index 0.720 versus 0.733, P=0.033; net reclassification improvement 0.166 [95% CI, 0.035-0.276], P=0.013), without interaction with ejection fraction category. In the validation cohort (median follow-up: 18.5 months), cluster-based classification better predicted outcome than guideline-based classification (C-index 0.80 versus 0.78, P=0.093). CONCLUSIONS: Integrating PALS by machine learning algorithm in DD classification improves risk stratification over recommended current criteria, regardless of ejection fraction status. This proof of concept study needs further validation of the proposed algorithm to assess generalizability to other populations.