Reference Values for Indexed Echocardiographic Chamber Sizes in Older Adults: The Multi-Ethnic Study of Atherosclerosis.

BACKGROUND: Normalization of echocardiographic chamber measurements for body surface area may result in misclassification of individuals with obesity or sarcopenia. Normalization for alternative measures of body size may be preferable, but there remains a dearth of information on their normative values and association with cardiovascular function metrics. METHODS AND RESULTS: A total of 3032 individuals underwent comprehensive 2-dimensional echocardiography at Exam 6 in MESA (Multi-Ethnic Study of Atherosclerosis). In the subgroup of 608 individuals free of cardiopulmonary disease (69.5±7.0 years, 46% male, 48% White, 17% Chinese, 15% Black, 21% Hispanic), normative values were derived for left and right cardiac chamber measurements across a variety of ratiometric (body surface area, body mass index, height) and allometric (height1.6, height2.7) scaling parameters. Normative upper and lower reference values were provided for each scaling parameter stratified across age groups, sex, and race or ethnicity. Among scaling parameters, body surface area and height were associated with the least variability across race and ethnicity categories and height2.7 was associated with the least variability across sex categories. CONCLUSIONS: In this diverse cohort of community-dwelling older adults, we provide normative values for common echocardiographic parameters across a variety of indexation methods.

Perioperative echocardiographic strain analysis: what anesthesiologists should know.

PURPOSE: Echocardiographic strain analysis by speckle tracking allows assessment of myocardial deformation during the cardiac cycle. Its clinical applications have significantly expanded over the last two decades as a sensitive marker of myocardial dysfunction with important diagnostic and prognostic values. Strain analysis has the potential to become a routine part of the perioperative echocardiographic examination for most anesthesiologist-echocardiographers but its exact role in the perioperative setting is still being defined. CLINICAL FEATURES: This clinical report reviews the principles underlying strain analysis and describes its main clinical uses pertinent to the field of anesthesiology and perioperative medicine. Strain for assessment of left and right ventricular function as well as atrial strain is described. We also discuss the potential role of strain to aid in perioperative risk stratification, surgical patient selection in cardiac surgery, and guidance of anesthetic monitor choice and clinical decision-making in the perioperative period. CONCLUSION: Echocardiographic strain analysis is a powerful tool that allows seeing what conventional 2D imaging sometimes fails to reveal. It often provides pathophysiologic insight into various cardiac diseases at an early stage. Strain analysis is readily feasible and reproducible thanks to the use of highly automated software platforms. This technique shows promising potential to become a valuable tool in the arsenal of the anesthesiologist-echocardiographer and aid in perioperative risk-stratification and clinical decision-making.

RéSUMé: OBJECTIF: L'analyse échocardiographique de la déformation cardiaque (strain analysis) par suivi des marqueurs acoustiques (speckle-tracking) permet d'évaluer la déformation du myocarde au cours du cycle cardiaque. Ses applications cliniques se sont considérablement développées au cours des deux dernières décennies en tant que marqueur sensible du dysfonctionnement myocardique, avec des valeurs diagnostiques et pronostiques importantes. L'analyse de la déformation cardiaque a le potentiel de devenir une partie intégrante de l'examen échocardiographique périopératoire de routine pour la plupart des anesthésiologistes-échocardiographes, mais son rôle exact dans le cadre périopératoire est encore en cours de définition. CARACTéRISTIQUES CLINIQUES: Ce rapport clinique passe en revue les principes qui sous-tendent l'analyse de la déformation cardiaque et décrit ses principales utilisations cliniques pertinentes dans le domaine de l'anesthésiologie et de la médecine périopératoire. L'analyse de la déformation cardique pour l'évaluation de la fonction ventriculaire gauche et droite ainsi que de la déformation auriculaire sont décrites. Nous discutons également du rôle potentiel de l'analyse de la déformation cardiaque pour aider à la stratification du risque périopératoire, à la sélection des patients en chirurgie cardiaque, à l'orientation du choix des moniteurs anesthésiques, et à la prise de décision clinique en période périopératoire. CONCLUSION: L'analyse échocardiographique de la déformation cardiaque est un outil puissant qui permet de voir ce que l'imagerie 2D conventionnelle ne parvient parfois pas à révéler. Elle fournit souvent un aperçu physiopathologique de diverses maladies cardiaques à un stade précoce. L'analyse de la déformation cardiaque est facilement réalisable et reproductible grâce à l'utilisation de plateformes logicielles hautement automatisées. Cette technique est potentiellement prometteuse et pourrait devenir un outil précieux dans l'arsenal de l'anesthésiologiste-échocardiographe et aider à la stratification du risque périopératoire et à la prise de décision clinique.

Development and web deployment of prediction model for pulmonary arterial pressure in chronic thromboembolic pulmonary hypertension using machine learning.

BACKGROUND AND PURPOSE: Mean pulmonary artery pressure (mPAP) is a key index for chronic thromboembolic pulmonary hypertension (CTEPH). Using machine learning, we attempted to construct an accurate prediction model for mPAP in patients with CTEPH. METHODS: A total of 136 patients diagnosed with CTEPH were included, for whom mPAP was measured. The following patient data were used as explanatory variables in the model: basic patient information (age and sex), blood tests (brain natriuretic peptide (BNP)), echocardiography (tricuspid valve pressure gradient (TRPG)), and chest radiography (cardiothoracic ratio (CTR), right second arc ratio, and presence of avascular area). Seven machine learning methods including linear regression were used for the multivariable prediction models. Additionally, prediction models were constructed using the AutoML software. Among the 136 patients, 2/3 and 1/3 were used as training and validation sets, respectively. The average of R squared was obtained from 10 different data splittings of the training and validation sets. RESULTS: The optimal machine learning model was linear regression (averaged R squared, 0.360). The optimal combination of explanatory variables with linear regression was age, BNP level, TRPG level, and CTR (averaged R squared, 0.388). The R squared of the optimal multivariable linear regression model was higher than that of the univariable linear regression model with only TRPG. CONCLUSION: We constructed a more accurate prediction model for mPAP in patients with CTEPH than a model of TRPG only. The prediction performance of our model was improved by selecting the optimal machine learning method and combination of explanatory variables.

Deep learning supported echocardiogram analysis: A comprehensive review.

An echocardiogram is a sophisticated ultrasound imaging technique employed to diagnose heart conditions. The transthoracic echocardiogram, one of the most prevalent types, is instrumental in evaluating significant cardiac diseases. However, interpreting its results heavily relies on the clinician's expertise. In this context, artificial intelligence has emerged as a vital tool for helping clinicians. This study critically analyzes key state-of-the-art research that uses deep learning techniques to automate transthoracic echocardiogram analysis and support clinical judgments. We have systematically organized and categorized articles that proffer solutions for view classification, enhancement of image quality and dataset, segmentation and identification of cardiac structures, detection of cardiac function abnormalities, and quantification of cardiac functions. We compared the performance of various deep learning approaches within each category, identifying the most promising methods. Additionally, we highlight limitations in current research and explore promising avenues for future exploration. These include addressing generalizability issues, incorporating novel AI approaches, and tackling the analysis of rare cardiac diseases.

Feasibility and reliability of fetal two dimensional speckle tracking echocardiography at 16 weeks gestational age: A pilot study.

BACKGROUND: Fetal two-dimensional speckle tracking echocardiography (2D-STE) is an emerging technique for assessing fetal cardiac function by measuring global longitudinal strain. Alterations in global longitudinal strain may serve as early indicator of pregnancy complications, making 2D-STE a potentially valuable tool for early detection. Early detection can facilitate timely interventions to reduce fetal and maternal morbidity and mortality. Therefore, the aim of this study was to investigate the feasibility of performing 2D-STE at 16 weeks gestational age. METHODS: This pilot study utilized 50 ultrasound clips of the fetal four-chamber view recorded between 15+5 and 16+2 weeks gestational age from a prospective cohort study. A strict protocol assessed three parameters essential for 2D-STE analysis: fetal four-chamber view ultrasound clip quality, region of interest, and frame rates. Two independent researchers measured global longitudinal strain in all adequate fetal four-chamber view ultrasound clips to determine inter- and intra-operator reliability. RESULTS: Out of the 50 ultrasound clips, 37 (74%) were feasible for 2D-STE analysis. The inter-operator reliability for global longitudinal strain measurements of the left and right ventricles was moderate (ICC of 0.64 and 0.74, respectively), while the intra-operator reliability was good (ICC of 0.76 and 0.79, respectively). CONCLUSIONS: Our findings demonstrate that fetal 2D-STE analysis at 16 weeks gestational age is feasible when adhering to a strict protocol. However, further improvements are necessary to enhance the inter- and intra-operator reliability of 2D-STE at this gestational age.

Cardiac Tamponade and Pericardiocentesis: Recognition, Standard Techniques, and Modern Advancements.

Pericardiocentesis is an important diagnostic and therapeutic procedure. In the setting of cardiac tamponade, pericardiocentesis can rapidly improve hemodynamics, and in cases of diagnostic uncertainty, pericardiocentesis allows for fluid analysis to aid in diagnosis. In contemporary practice, the widespread availability of ultrasonography has made echocardiographic guidance the standard of care. Additional tools such as micropuncture technique, live ultrasonographic guidance, and adjunctive tools including fluoroscopy continue to advance and enhance procedural efficiency and safety. When performed by experienced operators, pericardiocentesis is a safe, effective, and potentially life-saving procedure.

Deep learning to assess right ventricular ejection fraction from two-dimensional echocardiograms in precapillary pulmonary hypertension.

BACKGROUND: Precapillary pulmonary hypertension (PH) is characterized by a sustained increase in right ventricular (RV) afterload, impairing systolic function. Two-dimensional (2D) echocardiography is the most performed cardiac imaging tool to assess RV systolic function; however, an accurate evaluation requires expertise. We aimed to develop a fully automated deep learning (DL)-based tool to estimate the RV ejection fraction (RVEF) from 2D echocardiographic videos of apical four-chamber views in patients with precapillary PH. METHODS: We identified 85 patients with suspected precapillary PH who underwent cardiac magnetic resonance imaging (MRI) and echocardiography. The data was divided into training (80%) and testing (20%) datasets, and a regression model was constructed using 3D-ResNet50. Accuracy was assessed using five-fold cross validation. RESULTS: The DL model predicted the cardiac MRI-derived RVEF with a mean absolute error of 7.67%. The DL model identified severe RV systolic dysfunction (defined as cardiac MRI-derived RVEF < 37%) with an area under the curve (AUC) of .84, which was comparable to the AUC of RV fractional area change (FAC) and tricuspid annular plane systolic excursion (TAPSE) measured by experienced sonographers (.87 and .72, respectively). To detect mild RV systolic dysfunction (defined as RVEF ≤ 45%), the AUC from the DL-predicted RVEF also demonstrated a high discriminatory power of .87, comparable to that of FAC (.90), and significantly higher than that of TAPSE (.67). CONCLUSION: The fully automated DL-based tool using 2D echocardiography could accurately estimate RVEF and exhibited a diagnostic performance for RV systolic dysfunction comparable to that of human readers.

Evaluation of left ventricular function in patients with mitral annular disjunction using speckle tracking echocardiography.

BACKGROUND: Mitral annular disjunction (MAD) is a structural abnormality characterized by the systolic detachment of the posterior mitral annulus and the ventricular myocardium. It is usually observed coexistent with mitral valve prolapse (MVP) and associated with a mechanical dysfunction despite preserved electrical isolation function of the mitral annulus. This study aimed to evaluate left ventricular (LV) function using speckle tracking echocardiography in MVP patients with MAD. METHODS: This study was designed as a prospective, single-center study including 103 patients with MVP and 40 age- and sex-matched control subjects. Transthoracic echocardiography and cardiac magnetic resonance imaging were performed to assess LV function and MAD presence. RESULTS: MAD (+) MVP (n = 34), MAD (-) MVP (n = 69), and control (n = 40) groups were enrolled in the study. Among the MVP patients, 34 (33%) had MAD. T-negativity in the inferior leads on electrocardiography was more frequent in the MAD (+) group than in the MAD (-) patients (4.3% vs. 20.6%, p = .014). Mitral regurgitation degree, Pickelhaube sign (17.6% vs. 1.4%, p = .005), and late gadolinium enhancement frequency (35.3% vs. 10.6%, p = .002) were significantly higher in MAD (+) patients. MAD (+) patients had significantly impaired global longitudinal strain (-23.1 ±  2.1 vs. -23.5 ± 2.3, p < .001), basal longitudinal strain (BLS) (-19.6 ±  1.5 vs. -20.5 ± 1.9, p < .001), Mid-Ventricular Longitudinal Strain (-22.2 ± 1.7 vs. -23.2 ± 2.2, p < .001) and LA strain (-24.5 ± 3.9 vs. -27.2 ± 3.6, p < .001) when compared to MAD (-) MVP patients, despite similar LV ejection fraction. All these values of MVP patients were also significantly lower than the control group. The mean MAD distance was 7.8 ± 3.2 mm in MAD (+) patients. Patients with two or more symptoms were higher in the MAD (+) group than in the MAD (-) group (4.3% vs. 44.1%, p < .001). CONCLUSION: This study demonstrated a significant decrease in longitudinal strain in MVP patients with MAD, indicating myocardial dysfunction. These findings suggest that MAD may contribute to LV dysfunction and highlight the importance of early detection in younger patients. Further research is needed to explore the functional implications and long-term outcomes of MAD.

Unicommissural unicuspid aortic valve (UAV) presenting as ascending aortic aneurysm with aortic dissection.

We herein present an exceptionally rare instance of a unicommissural unicuspid aortic valve (UAV) manifesting with an aneurysmal ascending aorta complicated by a type A aortic dissection .

Left ventricular diastolic function in atrial fibrillation: Methodological implications and clinical considerations.

The assessment of LVDD is routinely included in echocardiographic evaluation because it correlates with cardiac disease progression and its prognostic value. Classic parameters used for assessing LV diastolic function correlate well with invasive measurements which remains the gold standard. Nevertheless, no one echocardiographic parameter alone can completely evaluate LVDD. LV diastolic function evaluation in atrial fibrillation is still challenging, since the E/A ratio, one of the most used parameters in echocardiographic evaluation, cannot be feasible. This is not a good reason to give up measurement. In this review, we analyze the different methods for estimating LV diastolic function in atrial fibrillation, including measurement not dependent on atrial systole and some novel methods that are promising, but not ever available during clinical practice highlighting that this assessment is mandatory for a complete clinical evaluation of the patients.

Predicting Acute Cardiovascular Complications in COVID-19: Insights from a Specialized Cardiac Referral Department.

BACKGROUND COVID-19 increases the risk of acute cardiovascular diseases (CVDs), including acute coronary syndrome (ACS), acute pulmonary embolism (APE), and acute myocarditis (AMyo). The actual impact of CVDs on mortality of patients with COVID-19 remains unknown. This study aimed to determine whether CVDs influence the course of COVID-19 pneumonia and if they can be easily detected by using common tests and examinations. MATERIAL AND METHODS Data of 249 consecutive patients with COVID-19 hospitalized in a dedicated cardiology department were analyzed. On admission, clinical status, biomarkers, computed tomography, and bedside echocardiography were performed. RESULTS D-dimer level predicted APE (AUC=0.850 95% CI [0.765; 0.935], P<0.001) with sensitivity of 69.4% and specificity of 96.2% for a level of 4968.0 ng/mL, and NT-proBNP predicted AMyo (AUC=0.692 95% CI [0.502; 0.883], P=0.004) and showed sensitivity of 54.5%, with specificity of 86.5% for the cut-off point of 8970 pg/mL. Troponin T levels were not useful for diagnostic differentiation between CVDs. An extent of lung involvement predicted mortality (OR=1.03 95% CI [1.01;1.04] for 1% increase, P<0.001). After adjusting for lung involvement, ACS increased mortality, compared with COVID-19 pneumonia only (OR=5.27 95% CI [1.76; 16.38] P=0.003), while APE and AMyo did not affect risk for death. CONCLUSIONS D-dimer and NT-proBNP, but not troponin T, are useful in differentiating CVDs in patients with COVID-19. ACS with COVID-19 increased in-hospital mortality independently from extent of lung involvement, while coexisting APE or AMyo did not.

[Real-time localization for port-implanted catheter tip by echocardiographic guidance].

The clinical data of 23 patients undergoing real-time echocardiography-guided infusion port implantation in the Breast Center of Tsinghua Changgung Hospital in Beijing from January to July 2021 were analyzed. The length of catheter insertion L1 was initially estimated using surface measurement method in all patients. Intraoperatively, transthoracic echocardiography was applied using the parasternal four-chamber view to visualize the catheter image within the right atrium, and the length of catheter insertion L2 was recorded under the guidance of echocardiography. Postoperatively, chest radiographs were taken in the upright position to observe the position of the catheter tip. According to chest CT scans, the ideal length (L) for catheter tip placement was calculated when it was located at the junction of superior vena cava and right atrium. Bland-Altman scatter plot analysis and linear regression fitting test were used on L1 and L2 respectively with L to evaluate the consistency. A total of 23 patients were included in this study, among which one case of left breast cancer patient undergoing breast-conserving surgery had difficulty in identifying the catheter tip position due to residual pleural effusion obscuring the imaging of the cardiac apex four-chamber view. In 22 patients, the results of intraoperative ultrasound imaging were good, including 1 case of catheter ectopic to azygos vein, and 21 cases of right atrial catheter could be detected by ultrasound. Statistical analysis showed that there was a good consistency between L1 and L, L2 and L, and the difference between them was d=0.28 cm (95%CI:-1.76-2.31 cm) and d=0.20 cm(95%CI:-0.84-1.23 cm), respectively, with no statistical significance (P>0.05). In the linear regression model, L2 and L had a higher fit than L1, and the difference was statistically significant (R²=0.954, P<0.001). This study found that real-time echocardiographic localization technique can be applied in adult port surgery to replace X-ray-guided real-time catheter tip detection and adjustment to the optimal position.

How to use echocardiography to manage patients with shock? / ¿Cuál es la utilidad de la ecocardiografía en el shock?

Echocardiography enables the intensivist to assess the patient with circulatory failure. It allows the clinician to identify rapidly the type and the cause of shock in order to develop an effective management strategy. Important characteristics in the setting of shock are that it is non-invasive and can be rapidly applied. Early and repeated echocardiography is a valuable tool for the management of shock in the intensive care unit. Competency in basic critical care echocardiography is now regarded as a mandatory part of critical care training with clear guidelines available. The majority of pathologies found in shocked patients are readily identified using basic level 2D and M-mode echocardiography. The four core types of shock (cardiogenic, hypovolemic, obstructive, and septic) can readily be identified by echocardiography. Echocardiography can differentiate the different pathologies that may be the cause of each type of shock. More importantly, as a result of more complex and elderly patients, the shock may be multifactorial, such as a combination of cardiogenic and septic shock, which emphasises on the added value of transthoracic echocardiography (TTE) in such population of patients. In this review we aimed to provide to clinicians a bedside strategy of the use of TTE parameters to manage patients with shock. In the first part of this overview, we detailed the different TTE parameters and how to use them to identify the type of shock. And in the second part, we focused on the use of these parameters to evaluate the effect of treatments, in different types of shock. (AU)

La ecocardiografía permite al intensivista valorar al paciente con fallo circulatorio agudo. Esta técnica ayuda a identificar, rápidamente y de una manera no invasiva, el tipo y la causa del shock para instaurar una estrategia terapéutica. La realización de exámenes ecocardiográficos precoces y repetidos es una valiosa herramienta para el manejo del shock en la unidad de cuidados intensivos. La mayoría de patologías responsables del shock pueden ser identificadas con un nivel básico de ecocardiografía en 2D y modo M. En la actualidad, las competencias en ecocardiografía básica se consideran mandatorias en la formación de los profesionales de Medicina Intensiva. Los cuatro tipos básicos de shock (cardiogénico, hipovolémico, obstructivo y séptico) pueden ser adecuadamente identificados con la ecocardiografía. Además, la ecografía puede diferenciar las diferentes patologías que pueden ser la causa de cada uno de los tipos de shock. Es importante señalar que, dada la complejidad y la edad avanzada de muchos pacientes críticos, el shock puede ser multifactorial (p.ej.: combinación de shock séptico y cardiogénico), lo que enfatiza el valor añadido de la ecocardiografía transtorácica (ETT) en esta población de pacientes. En esta revisión, queremos proporcionar a los clínicos una estrategia, a pie de cama, del uso de los parámetros obtenidos con la ETT para manejo de los pacientes en shock. En la primera parte de este artículo, se detallan los diferentes parámetros ecocardiográficos y cómo pueden utilizarse para identificar los tipos de shock. En la segunda parte, se expone el uso de estos parámetros para evaluar el efecto de los tratamientos en los diferentes tipos de shock. (AU)

The role of diabetic foot treatment in improving left ventricular function: Insights from global longitudinal strain echocardiography.

We decided to evaluate the effect of treatment of diabetic foot ulcers in improving heart function by strain echocardiography than conventional transthoracic echocardiography. This prospective cross-sectional study included patients with diabetic foot ulcer (DFU). Conventional and two-dimensional strain echocardiography performed before and after three months diabetic foot treatment. Then, we compared the echocardiographic parameters including left ventricular ejection fraction (LV-EF), left ventricular global longitudinal strain (LV-GLS). Multivariate and univariate logistic regression analysis were performed to find which variable was mainly associated with LV-GLS changes. 62 patients with DFU were conducted. After echocardiography, all patients underwent surgical or non-surgical treatments. Three months after the treatment, LV-EF was not significantly different with its' primary values (P = 0.250), but LV-GLS became significantly different (P<0.05). In the multivariate logistic regression analysis, with the increase in the grade of ulcer, LV-GLS improved by 6.3 times. Not only the treatment of DFU helps to control adverse outcomes like infection, limb loss and morbidity but also it enhances cardiac function. Of note, strain echocardiography found to be a better indicator of myocardial dysfunction than LV-EF. These findings make a strong reason for the routine assessment of cardiac function in patients with DFU.

Volumetric quantification identifies some left atrial dilations undetected by left atrium:aorta ratio measurements: A prospective echocardiographic study in 155 Cavalier King Charles Spaniels with and without degenerative mitral valve disease.

INTRODUCTION: Degenerative mitral valve disease (DMVD) is the most common canine heart disease with a high predisposition in Cavalier King Charles Spaniels (CKCSs). Mitral regurgitation related to DMVD can lead to left atrial (LA) dilation, which is associated with survival time. Left-atrial-to-aortic (LA:Ao) ratio assessed by two-dimensional echocardiography is commonly used to evaluate LA size. The objectives of this prospective observational study were therefore 1) to compare different echocardiographic methods (i.e., monoplane and biplane Simpson's methods of discs (SMOD) and area-length methods (ALM)) in evaluating LA volume (LAvol) in CKCSs, 2) to assess LA volumes according to DMVD severity and, 3) compare the ability of LAvol and LA:Ao ratio to identify LA enlargement in CKCSs with subclinical DMVD (i.e., American College of Veterinary Internal Medicine (ACVIM) stage B). MATERIALS AND METHODS: 155 CKCSs, either healthy or affected by DMVD, were recruited. Variability and concordance between volumetric methods were evaluated. Values were analyzed according to 2019 ACVIM stages. RESULTS: All Lin's concordance correlation coefficients regarding intra- and inter-observer variability were considered as very good to excellent. Monoplane methods and ALM produced higher values of LAvol than biplane methods and SMOD, respectively. The upper limit of normal end-systolic LAvol/body weight (LASvol/BW) was defined as 0.90 mL/kg. Left atrial volumes significantly increased with ACVIM stages. Additionally, 37% of stage B1 CKCSs demonstrated LA enlargement using LASvol/BW assessment, with significantly lower LASvol/BW values in dogs with regurgitation fraction ≤30% than in others (p<0.01). CONCLUSION: In CKCSs, LAvol methods are not interchangeable. In ACVIM stage B CKCSs, LAvol quantification is more effective to detect LA enlargement than LA linear measurements.

Editing of 3D images in echocardiographic evaluation of mitral valve: Is there any correlation with photography?

Editing of 3D raw images acquired during transesophageal echocardiography could be similar to the post processing of raw images with digital software used in photography. 3D image editing in echocardiography is often underestimated in clinical practice, and people are satisfied with the first 3D image they are able to obtain during transesophageal examination. In fact, it is often believed to represent solely an aesthetic addition that does not change the information already obtained with 2D and baseline 3D. In reality, it represents a crucial moment to better understand the mechanisms of mitral pathology, avoiding artifacts and misjudgments. The importance of acquiring raw 3D images of the valve having all the necessary information (ring, the leaflet in toto, the right frame rate) allows us then to edit them making them more beautiful and clearer from the point of view of the information received. Nevertheless, by exclusively acquiring a raw 3D with all the necessary information, we can quickly finish the transesophageal examination, reducing its duration and discomfort for the patient, as well as the inherent risk of complications related to the procedure per se.

Left Atrial Strain Insights in Atrial Fibrillation and the Interplay with Metabolic Syndrome.

INTRODUCTION: Understanding the interplay between metabolic syndrome and left atrial (LA) function is crucial, especially in patients newly diagnosed with atrial fibrillation (AF). We evaluated the association between subclinical atrial function and metabolic syndrome in patients diagnosed with new-onset AF. METHODS: A retrospective analysis was conducted on 220 patients, aged between 20 and 100 years, who were newly diagnosed with AF. These patients were divided into two groups based on the presence or absence of metabolic syndrome. LA reservoir strain, a measure of LA function, was assessed using transthoracic echocardiography. Statistical methods, including receiver operating characteristic (ROC) curve and logistic regression analyses, were employed to evaluate the association between LA strain and metabolic syndrome. RESULTS: Among the 220 patients, 108 had metabolic syndrome and displayed more adverse clinical characteristics. The LA reservoir strain was significantly lower in this group (9.7% ± 5.2% vs. 12.0% ± 5.8%, p = 0.003). ROC curve analysis identified 9.3% as the optimal cutoff value for predicting metabolic syndrome, with a sensitivity of 50.9% and specificity of 70.5%. Further, multivariate analysis confirmed that an LA reservoir strain below 9.3% was independently linked to metabolic syndrome (odds ratio 4.261, 95% confidence interval 1.134-16.009, p = 0.032). CONCLUSIONS: The findings reveal a significant association between lower LA reservoir strain values and the presence of metabolic syndrome in patients newly diagnosed with AF. An LA strain value below 9.3% serves as a critical diagnostic and prognostic indicator, highlighting its clinical importance in managing patients with AF.

Epicardial Space: Comprehensive Anatomy and Spectrum of Disease.

The epicardial space (ES) is the anatomic region located between the myocardium and the pericardium. This space includes the visceral pericardium and the epicardial fat that contains the epicardial coronary arteries, cardiac veins, lymphatic channels, and nerves. The epicardial fat represents the main component of the ES. This fat deposit has been a focus of research in recent years owing to its properties and relationship with coronary gossypiboma plaque and atrial fibrillation. Although this region is sometimes forgotten, a broad spectrum of lesions can be found in the ES and can be divided into neoplastic and nonneoplastic categories. Epicardial neoplastic lesions include lipoma, paraganglioma, metastases, angiosarcoma, and lymphoma. Epicardial nonneoplastic lesions encompass inflammatory infiltrative disorders, such as immunoglobulin G4-related disease and Erdheim-Chester disease, along with hydatidosis, abscesses, coronary abnormalities, pseudoaneurysms, hematoma, lipomatosis, and gossypiboma. Initial imaging of epicardial lesions may be performed with echocardiography, but CT and cardiac MRI are the best imaging modalities to help characterize epicardial lesions. Due to the nonspecific onset of signs and symptoms, the clinical history of a patient can play a crucial role in the diagnosis. A history of malignancy, multisystem diseases, prior trauma, myocardial infarction, or cardiac surgery can help narrow the differential diagnosis. The diagnostic approach to epicardial lesions should be made on the basis of the specific location, characteristic imaging features, and clinical background. ©RSNA, 2024 Test Your Knowledge questions for this article are available in the supplemental material.