Mitral Annular Plane Systolic Excursion Research Articles

LV systolic function assessment in conventional cardiac pacing: a simple and forgotten parameter - MAPSE

Abstract Background Mitral annular plane systolic excursion (MAPSE) was a widely used M-mode echocardiographic marker of left ventricular longitudinal systolic function. On the other hand, right ventricle (RV) apical pacing is associated with left ventricle (LV) dysfunction development due to dysynchronous activation, while non-apical pacing may provide a more physiological LV activation. The aim of this study is to ascertain the clinical usefulness of MAPSE in the assessment of LV contractile function in patients with permanent RV pacing. Methods Consecutive patients with indication for permanent cardiac pacing (with ventricular pacing percentages over 20% - Vp>20%) were retrospectively enrolled from 2019 to 2023. All patients were assessed by echocardiography with MAPSE, left ventricule ejection fraction (LVEF) and diastolic filling patterns being measured at the time of implant and at subsequent follow-ups. Results 359 patients (age range 41-80yo; mean age=60,5yo) were included, 244 men and 115 women, 173 implanted with single-chamber devices and 186 dual-chamber. 259 patients were paced from the RVA (right ventricle apex) and 62 had septal lead positioning. The mean follow-up period was 18±2 months. The results showed that a MAPSE cut off value of ≤10 mm was associated with a LVEF<42±2%, while MAPSE values >10mm were associated with LVEF>45±3% (p<0.01). RV septal pacing was associated with a higher average MAPSE value (14,28 mm) than RVA pacing (13,47). Conclusions MAPSE seems to corelate well with LVEF in RV conventional pacing. Younger patients with preserved LVEF and less than grade II diastolic dysfunction were not associated with a significant decrese in MAPSE value. However, older patients with HFmrEF and RVA pacing seem to have a more substantial reduction in MAPSE value, suggesting that non-apical or conduction system pacing might be beneficial in this subgroup. MAPSE seems to be a quick and reliable echocardiographic marker of LV systolic function in patients with permanent cardiac pacing. It may be used as an early predictive marker for heart failure in conventional RV paced patients.

Evaluating fetal tricuspid and mitral annular plane systolic excursion (TAPSE and MAPSE) using spatiotemporal image correlation (STIC) M-mode.

This study aimed to evaluate the feasibility andreliability of tricuspid and mitral annular plane systolic excursion measurements (TAPSE and MAPSE) applying M-mode Spatiotemporal Image Correlation (STIC) technology in low-risk pregnancies. An initial retrospective pilot study was carried out to assess repeatability, followed by a larger mixed cross-sectional and prospective longitudinal study, both evaluating low-risk singleton pregnancies between 22+6 and 39+1 weeks. As only annuli capture was necessary, STIC acquisition parameters were set to the minimum volume angle of 15° and acquisition time of 7.5 s. A total of 330 volumes were analysed offline applying STIC M-mode. Acquisition rates were 96.9 % for TAPSE and 93.7 % MAPSE in the pilot study (n=32) and 98.0 % for both in the longitudinal study (n=102). Both study designsrevealed good repeatability for both sides of the heart, withhigher intraclass correlation coefficients (ICCs) for TAPSE (0.84-0.94) compared to MAPSE (0.80-0.88). Goodrepeatability was demonstrated for both sides of the heart, more so for TAPSE than MAPSE, with ICCs for TAPSE 0.84-0.91 and MAPSE 0.75-0.76, comparable to prior ICCs forSTIC repeatability. Modified STIC acquisition settings specifically tailored for capturing the longitudinal annular displacement may improve STIC TAPSE and MAPSE acquisition rates, optimising image quality for precise measurement and potentially bringing these modalities closer to clinical application.

Mitral Annular Plane Systolic Excursion (MAPSE) as a Predictor of Weaning Failure in Mechanically Ventilated Patients

Weaning failure is multifactorial in nature; it can result from diaphragmatic dysfunction, excess mechanical load, weaning-induced cardiovascular dysfunction, or a reduced ability to clear secretions. To investigate mitral annular plane systolic excursion (MAPSE) by using M-mode echocardiography as a predictor of weaning failure and its relation to length of intensive care unit stay, and to hospital mortality, and correlation of MAPSE with APACHE II and SOFA scores as predictors of outcome. This was a prospective observational cohort study conducted on 50 patients admitted to Critical Care Medicine Department, Cairo University Hospitals (Kasr Al-Aini Hospitals), with a diagnosis of acute respiratory failure who required mechanical ventilation, from January 2019 to December 2020. There was significant relation between weaning from mechanical ventilation and APACHE II score, we found highly significant difference with SOFA score. ROC curve for detection of weaning using MAPSE showed Area Under the Curve of 0.918 with highly statistically significant relation with cut off value is 13.9 with Sensitivity 83.3% and Specificity 92.3%; and thus, MAPSE could be a good indicator for successful weaning. We concluded that; Low Mitral annular plane systolic excursion (MAPSE) could be a good predictor of weaning failure and mortality, The higher MAPSE values are correlated with lower ICU stay duration. We found that RSBI and SOFA score are predictors for successful weaning, also SOFA and APACHE II scores are indicators of mortality.

Mitral Annulus Pre-Systolic Excursion (MAPSE) Versus Modified Simpson’s Method for Ejection Fraction Estimation in Patients with Acute Coronary Syndrome

Objectives: Evaluating left ventricle (LV) systolic function is pivotal in cardiac assessment, primarily relying on the left ventricular ejection fraction (LVEF) calculated through the modified Simpson’s method. However, challenges arise in accurately determining LVEF, especially in patients with acute coronary syndrome, where difficulty in visualizing the blood tissue interface can lead to inaccuracies. Mitral annular plane systolic excursion (MAPSE), which evaluates longitudinal function of LV has shown promise in detecting subtle myocardial abnormalities, particularly in patients with preserved ejection fraction (EF). Materials and Methods: The study included three groups of patients based on EF measurement using modified Simpson’s method: Group A with EF <50%, Group B with EF >50%, and Group C as healthy controls. In each group, MAPSE and EF derived from MAPSE formula were calculated: 4.8 × MAPSE (mm) + 5.8 in males, 4.2 × MAPSE (mm) + 2.0 in females. Statistical analyses were conducted to assess the agreement and potential differences between the two methods within each group. Results: The mean age of study population was 55.63 ± 9.21 years in Group A, 54.79 ± 9.82 years in Group B, and 55.10 ± 8.79 years in Group C. In Group A, mean EF measured through modified Simpson’s formula was 37.79 ± 5.38, whereas mean EF measured through MAPSE was 37.95 ± 5.32. There was no statistical difference among EF calculation through Simpson’s method or MAPSE method. (P = 0.8293). In Group B, Mean EF calculated through Simpson method was 56.24 ± 3.12 whereas with MAPSE method was 52.31 ± 4.26. There was found to be a statistical difference in EF calculation by both of this method in patients with EF>50% (P < 0.0001). In Group C, mean EF calculated through Simpson’s method was 64.23 ± 5.21 and through MAPSE was 64.99 ± 4.85, respectively. There was no statistical difference between this two methods in terms of EF calculation (P = 0.2812). Conclusion: EF assessment using the traditional modified Simpson’s method and MAPSE demonstrated a strong correlation in patients with EF <50% and controls. However, in patients with EF >50%, MAPSE revealed subendocardial dysfunction undetected by the Simpson method, highlighting MAPSE’s value in identifying subtle myocardial abnormalities.

Mitral Annular Plane Systolic Excursion: An Early Marker of Subclinical Left Ventricular Function in COVID-19 Survivors

Introduction: The left ventricular (LV) function can be affected by COVID-19. Mitral annular plane systolic excursion (MAPSE) is a measurement that reflects the function of the LV. The association between MAPSE and LV function in COVID-19 survivors is not well understood, and this study aimed to explore that relationship. Material and methods: The retrospective cross-sectional study comprised 99 patients with a history of SARS-CoV-2 infection. These patients experienced symptoms lasting more than 2 months following the initial SARS-CoV-2 virus infection, including fatigue, shortness of breath, chest pain, and cough. The patients were categorized into two groups based on their MAPSE measurements: those with low MAPSE (<12 mm) and those with non-low MAPSE (>12 mm). MAPSE measurements were acquired using transthoracic echocardiography (TTE). Results: COVID-19 patients with low MAPSE, global longitudinal strain (GLS) (%) ([-17.61±0.95] - [-18.90±1.08], p <0.001) and mitral E/A ratio ([0.83±0.39] - [0.97±0.23], p = 0.028) were statistically significant compared to the the group without low MAPSE. Left atrial volume index (LAVI) in mm/m2 ([37.24±2.11] - [35.34±2.50], p =0.001) was higher in the group of COVID-19 patients with lower MAPSE. High-sensitivity troponin T (Hs-TnT) (OR: 2.019, 95% CI: 1.043-3.712, p =0.028), intensive care unit (ICU) admission (OR: 1.432, 95% CI: 1.004-2.708, p =0 .037) and need for invasive mechanical ventilation (IMV) support (OR: 1.306, 95% CI: 1.128-2.630, p =0.004) were identified as independent predictors of reduced MAPSE. Conclusions: SARS-CoV-2 infection may lead to reduced or impaired MAPSE values, indicative of impaired LV function, in COVID-19 survivors. Additionally, our study revealed that elevated levels of (Hs-TnT), admission to the ICU, and the need for IMV support were predictive factors for low MAPSE values. These findings underscore the potential cardiac implications of COVID-19 and highlight the importance of monitoring cardiac function in patients with severe disease manifestations.

Assessment of left and right ventricular systolic function in dogs with multicentric lymphoma

ObjectiveMyocardial dysfunction in cardio-oncology is generally thought to be related to the cardiotoxicity of chemotherapy treatment. However, it is known that some tumors have direct effects on myocardial function. These effects have already been studied in man, but there are no publications of these of the effects in dogs. Novel advanced echocardiographic techniques may allow early detection of myocardial dysfunction when compared to conventional echocardiographic techniques. This study aims to assess myocardial systolic function in dogs with multicentric lymphoma prior to initiation of chemotherapy. AnimalsFifteen dogs with multicentric lymphoma and nineteen healthy dogs. MethodsCase-control study. Dogs with multicentric lymphoma and healthy control dogs underwent physical examination, electrocardiography, systolic blood pressure measurement, standard and speckle tracking echocardiography to assess biventricular systolic function. ResultsThere were no differences between groups in terms of ejection fraction, fractional shortening, left ventricular systolic and diastolic diameter, tricuspid annular plane systolic excursion, mitral annular plane systolic excursion and fractional area change of the right ventricle (RV). However, there was a reduction in the values of global circumferential strain (p = 0.0003), RV strain (p = 0.01) and RV tissue motion annular displacement (p < 0.05) in the dogs with lymphoma when compared to the control group. ConclusionsSpeckle tracking techniques appear to demonstrate early systolic dysfunction, primarily affecting the RV, in dogs with lymphoma prior to chemotherapy treatment.

Cardiac magnetic resonance-derived mitral annular plane systolic excursion: a robust indicator for risk stratification after myocardial infarction.

To explore the predictive value of mitral annular plane systolic excursion (MAPSE) derived by cardiac magnetic resonance (CMR) for major adverse cardiovascular events (MACE) in postmyocardial infarction (MI) patients.Patients with MI who underwent 3.0 T CMR (Chinese Clinical Trial Registry, ChiCTR2200055158) were recruited retrospectively. CMR parameters included MAPSE and LVEF. Patients were followed up for MACE for more than 6 months and were separated into a No-MACE group and a MACE group.A total of 165 post-MI patients were included, and 103 patients were finally analyzed (61 patients belonged to the No-MACE group, and 42 patients belonged to the MACE group). The LVEF and MAPSE of the patients belonging to the No-MACE group were considerably higher than those of the patients belonging to the MACE group. Both LVEF and MAPSE were effective indicators of the occurrence of MACE after MI. The risk of MACE decreased as LVEF and MAPSE increased. For the risk prediction of MACE after MI, compared with model I (chi-square value 4.0 vs. 31.4, P < 0.001) and model II (chi-square value 22.7 vs. 31.4, P = 0.003), model III had a significant incremental predictive value. Moreover, the cutoff value of MAPSE was 9.70mm.CMR-derived MAPSE is an effective predictor of MACE occurrence in patients with MI, and MAPSE provided a significant incremental predictive value. Moreover, MAPSE could complement LVEF for superior risk stratification of MI patients.

Diagnostic performance of a clinical ultrasound-based algorithm for acute heart failure in patients presenting to the emergency department with dyspnea.

To study the diagnostic performance of an ultrasound-based algorithm that includes the deceleration time (DT) of early mitral filling to establish a diagnosis of acute heart failure (AHF) in patients who come to an emergency department because of dyspnea. Prospective analysis in a convenience sample of patients who came to a hospital emergency department with acute dyspnea. The algorithm included ultrasound findings and 4 echocardiographic findings as follows: mitral annular plane systolic excursion, Doppler mitral flow velocity, tissue Doppler imaging measure of the lateral annulus, and the DT of early mitral filling. The definitive diagnosis was made by 2 physicians blinded to each other's diagnosis and the ultrasound findings. A total of 166 adult patients with a mean (SD) age of 76 (13) years were included; 79 (48%) were women. AHF was the definitive diagnosis in 62 patients (37%). Diagnostic agreement was good between the 2 physicians (κ = 0.71). The algorithm classified all the patients, and there were no undetermined diagnoses. Diagnostic performance indicators for the ultrasound-based algorithm integrating early DT findings were as follows: area under the receiver operating characteristic curve, 0.91 (95% CI, 0.86-0.96); sensitivity, 87% (95% CI, 76%-94%); specificity, 95% (95% CI, 89%-98%); positive likelihood ratio, 18.1 (95% CI, 7.7-42.8); and negative likelihood ratio, 0.14 (95% CI, 0.07-0.26). The ultrasound-based algorithm integrating the DT of early mitral filling performs well for diagnosing AHF in emergency patients with dyspnea. The inclusion of early DT allows all patients to be diagnosed.

Decreased quality of life in Duchenne muscular disease patients related to functional neurological and cardiac impairment.

In this prospective study involving 37 Duchenne muscular dystrophy (DMD) patients aged 8-18 years and older, we examined the impact of neurological and cardiac factors on quality of life (QoL). Our findings revealed a negative correlation between upper limb movement and overall mobility, self-service, and usual activities. Ambulatory and non-ambulatory DMD patients showed significant differences in mobility-related parameters. Cardiac evaluations demonstrated associations between mitral annular plane systolic excursion (MAPSE) and mobility-related aspects. The PEDSQL 3.0 neuromuscular model questionnaire further highlighted age-related and movement-related correlations with QoL. The loss of ambulatory status and reduced upper limb movement were negatively associated with QoL, while upper limb movement positively correlated with septal MAPSE. However, no significant associations were found between MAPSE and anxiety/depression. These findings underscore the multifaceted impact of DMD on QoL and emphasize the importance of considering both neurological and cardiac factors in comprehensive patient care.

Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography.

We have developed a method to automatically assess LV function by measuring mitral annular plane systolic excursion (MAPSE) using artificial intelligence and transesophageal echocardiography (autoMAPSE). Our aim was to evaluate autoMAPSE as an automatic tool for rapid and quantitative assessment of LV function in critical care patients. In this retrospective study, we studied 40 critical care patients immediately after cardiac surgery. First, we recorded a set of echocardiographic data, consisting of three consecutive beats of midesophageal two- and four-chamber views. We then altered the patient's hemodynamics by positioning them in anti-Trendelenburg and repeated the recordings. We measured MAPSE manually and used autoMAPSE in all available heartbeats and in four LV walls. To assess the agreement with manual measurements, we used a modified Bland-Altman analysis. To assess the precision of each method, we calculated the least significant change (LSC). Finally, to assess trending ability, we calculated the concordance rates using a four-quadrant plot. We found thatautoMAPSE measured MAPSE in almost every set of two- and four-chamber views (feasibility 95%). It took less than a second to measure and average MAPSE over three heartbeats. AutoMAPSE had a low bias (0.4mm) and acceptable limits of agreement (-3.7 to 4.5mm). AutoMAPSE was more precise than manual measurements if it averaged more heartbeats. AutoMAPSE had acceptable trending ability (concordance rate 81%) during hemodynamic alterations. In conclusion, autoMAPSE is feasible as an automatic tool for rapid and quantitative assessment of LV function, indicating its potential for hemodynamicmonitoring.

Association between left ventricular systolic function parameters and myocardial injury, organ failure and mortality in patients with septic shock

BackgroundLeft ventricular ejection fraction (LVEF) is inconsistently associated with poor outcomes in patients with sepsis. Newer parameters such as LV longitudinal strain (LVLS), mitral annular plane systolic excursion (MAPSE) and LV longitudinal wall fractional shortening (LV-LWFS) may be more sensitive indicators of LV dysfunction, but are sparsely investigated. Our objective was to evaluate the association between five traditional and novel echocardiographic parameters of LV systolic function (LVEF, peak tissue Doppler velocity at the mitral valve (s´), LVLS, MAPSE and LV-LWFS) and outcomes in patients admitted to the Intensive Care Unit (ICU) with septic shock.MethodsA total of 152 patients admitted to the ICU with septic shock from two data repositories were included. Transthoracic echocardiograms were performed within 24 h of ICU admission. The primary outcome was myocardial injury, defined as high-sensitivity troponin T ≥ 45 ng/L on ICU admission. Secondary outcomes were organ support-free days (OSFD) and 30-day mortality. We also tested for the prognostic value of the systolic function parameters using multivariable analysis.ResultsLVLS, MAPSE and LV-LWFS, but not LVEF and s´, differed between patients with and without myocardial injury. After adjustment for age, pre-existing cardiac disease, Simplified Acute Physiology (SAPS3) score, Sequential Organ Failure Assessment (SOFA) score, plasma creatinine and presence of right ventricular dysfunction, only MAPSE and LV-LWFS were independently associated with myocardial injury. None of the systolic function parameters were associated with OSFD or 30-day mortality.ConclusionsMAPSE and LV-LWFS are independently associated with myocardial injury and outperform LVEF, s´ and LVLS. Whether these parameters are associated with clinical outcomes such as the need for organ support and short-term mortality is still unclear.Trial registration NCT01747187 and NCT04695119.

Does matrix transducer technology improve quality and repeatability of four-dimensional tricuspid annular plane systolic excursion and mitral annular plane systolic excursion measurements?

Novel ultrasound technology and software processing allow offline evaluation of tricuspid annular plane systolic excursion and mitral annular plane systolic excursion measurements. We wished to compare both novel 4D matrix (eM6C) and conventional (RAB6-D) transducers with variable settings (electronic spatiotemporal image correlation, spatiotemporal image correlation and four-dimensional real time) to determine if there was a significant difference in absolute value, quality and repeatability of the resultant reconstructed image and M-mode trace. A blinded prospective cross-sectional study of normal fetuses from 23 to 38 weeks' gestation were recruited. After routine sonography, four-dimensional volumes were stored and analysed using GE 4DView™ software. Statistical analysis explored variability, correlations and repeatability of the measurements with chi-square analysis, intraclass correlations and the Bland-Altman comparison plots. A scoring system was devised for image quality. Eighteen participants generated 282 data volumes. Absolute values demonstrated some inconsistencies for both tricuspid annular plane systolic excursion and mitral annular plane systolic excursion measurements with variations between transducers: the highest for the RAB6-D/spatiotemporal image correlation setting and the lowest for the four-dimensional real-time settings. The RAB6-D/spatiotemporal image correlation setting was the most repeatable combination (intraclass correlation coefficient = 0.85). Poorest image quality (M-mode trace, four-chamber view, annuli) came from the RAB6-D/four-dimensional real-time combination with the eM6C/electronic spatiotemporal image correlation and RAB6-D/spatiotemporal image correlation settings being nearly identical. We show that transducer and setting combinations influence absolute tricuspid annular plane systolic excursion/mitral annular plane systolic excursion measurements, so need to be articulated in future research. The transducer setting (electronic spatiotemporal image correlation/spatiotemporal image correlation/four-dimensional real time) was a more significant factor than the type of transducer (conventional vs matrix). Subjective image evaluation does not correlate well with repeatability of image acquisition. Further studies are needed to compare measurements using four-dimensional post-processing tools against conventional real-time measurements.

The importance of patient characteristics, operators, and image quality for the accuracy of heart failure diagnosis by general practitioners using handheld ultrasound devices

Abstract Aims To evaluate whether the characteristics of patients, operators, and image quality could explain the accuracy of heart failure (HF) diagnostics by general practitioners (GPs) using handheld ultrasound devices (HUDs) with automatic decision-support software and telemedical support. Methods and results Patients referred to an outpatient cardiac clinic due to symptoms indicating HF were examined by one of five GPs after dedicated training. In total, 166 patients were included [median (inter-quartile range) age 73 (63–78) years; mean ± standard deviation ejection fraction 53 ± 10%]. The GPs considered whether the patients had HF in four diagnostic steps: (i) clinical examination, (ii) adding focused cardiac HUD examination, (iii) adding automatic decision-support software measuring mitral annular plane systolic excursion (autoMAPSE) and ejection fraction (autoEF), and (iv) adding telemedical support. Overall, the characteristics of patients, operators, and image quality explained little of the diagnostic accuracy. Except for atrial fibrillation [lower accuracy for HUD alone and after adding autoEF (P &amp;lt; 0.05)], no patient characteristics influenced the accuracy. Some differences between operators were found after adding autoMAPSE (P &amp;lt; 0.05). Acquisition errors of the four-chamber view and a poor visualization of the mitral plane were associated with reduced accuracy after telemedical support (P &amp;lt; 0.05). Conclusion The characteristics of patients, operators, and image quality explained just minor parts of the modest accuracy of GPs’ HF diagnostics using HUDs with and without decision-support software. Atrial fibrillation and not well-standardized recordings challenged the diagnostic accuracy. However, the accuracy was only modest in well-recorded images, indicating a need for refinement of the technology.

Echocardiography-based risk score predicts cardiovascular outcomes in ischemic heart failure patients with reduced ejection fraction

Abstract Background Ischemic heart disease (IHD) is the most common cause of heart failure (HF) and serves as an important prognostic factor across the whole HF spectrum. Prognostic assessment is important for optimal patient care, and a number of prediction models or prognostic scores have been developed in the past years for risk stratification of HF patients. Purpose Present study aimed to develop a comprehensive echocardiography-based score algorism for risk assessment of ischemic heart failure (IHF) patients with reduced left ventricular ejection fraction (&amp;lt;50%). Methods This study included 1355 IHF patients with ejection fraction &amp;lt;50%, the median clinical follow-up was 25 months. Multivariable Cox hazard models were used to assess the associations between echocardiography variables [including 13 standard parameters and global longitudinal strain (GLS)] and major adverse outcomes [including all-cause mortality, cardiovascular (CV) death, and CV related hospitalization]. Results Rates of all-cause mortality, CV mortality, and combined CV events including death and hospitalization, were 29.2%, 18.2%, 41.1%, respectively. Right ventricular mid-cavity diameter (RVD)&amp;gt;38mm, mitral annular plane systolic excursion (MAPSE)&amp;lt;8mm, tricuspid annular plane systolic excursion (TAPSE)&amp;lt;12mm, transmitral early flow velocity to mitral annular velocity ratio (E/E´)&amp;gt;14.5, systolic pulmonary artery pressure (sPAP)&amp;gt;38mmHg, and absolute GLS&amp;lt;8% were identified as independent echocardiographic indexes for worse clinical outcome in the multivariable Cox models. An echocardiography-based risk score (Echo Risk Score, ranged from 0 to 6 points) was established based on these markers and patients were classified into 3 risk groups: a score of 0 to 1 as low-risk, 2 to 3 as intermediate-risk, and 4-6 as high-risk. After adjustment for all clinical covariates, high-risk patients faced 2 to 3-fold increased risk of all-cause mortality (HR 2.42, 95% CI 1.81-3.24), CV mortality (HR 2.75, 95% CI 1.88-4.02), and combined CV events (HR 1.84, 95% CI 1.43-2.36) compared with low-risk patients. Incremental predicting efficacy was evidenced after the addition of Echo Risk Score either to the model including clinical risk factors or to the model including clinical risk factors and N-terminal prohormone of brain natriuretic peptide (all P&amp;lt;0.001, Figure 1). Conclusions This new echocardiography-based risk score is significantly and independently associated with all-cause mortality and CV mortality or hospitalization in ischemic heart failure patients with reduced ejection fraction. Future studies are warranted to validate the predicting efficacy of this echocardiography-based risk score in ischemic heart failure patients with reduced ejection fraction.Figure 1

Left atrial appendage morphology and mitral annular plane systolic excursion predict stroke in patients with atrial fibrillation and high thromboembolic risk

Abstract Background Previous research has revealed a relationship between the morphology and function of the left atrial appendage (LAA) and the rate of thromboembolic events in patients with atrial fibrillation (AF). There is limited data on the impact of the left ventricular (LV) function on LAA thrombus formation. Emptying of the LAA depends on the active contraction of this structure as well as on the passive motion due to external compression from the LV base during ventricular diastole. Purpose Given these considerations the goal of this study was to investigate by transesophageal and transthoracic echocardiography the morphology and function of the LAA in relationship with the LV function and to assess the impact on incidence of stroke in a group of patients with AF with high thromboembolic risk who underwent TEE-guided direct current cardioversion. Methods We included 148 patients (age 65 ±11 yrs, 79men, median CHA2DS2-VASc score 4 (IQR 2-6), left ventricular ejection fraction 48±11%), who underwent transesophageal echocardiography before cardioversion. During a median follow-up period of 23 months (range 1-107) 34 patients developed stroke or TIA. Results The distribution of the four LAA morphologies (Figure 1) was: Cactus [47 (32%)], Cauliflower [30 (20%)], Windsock [38(26%)], and Chicken Wing [33 (22%)]. During the follow-up period stroke/TIA occurred significantly more frequently in patients with cactus or cauliflower LAA morphology vs. patients with windsock or chicken wing morphology (25 (35%) vs 9 (11%); p value=0.001). Patients who developed stroke or TIA had significantly lower MAPSE vs patients with event free survival (8±3 vs 12±3mm; p value=0.001). Kaplan-Meier survival curves for different categories of MAPSE and LAA morphology are shown in Figure 2. The significant relationship between MAPSE and stroke-free survival was retained in Cox multivariable analysis that included LAA morphology, CHA2DS2-VASc score and AF types. This association was present whether MAPSE was entered into the multivariable model as a continuous or dichotomized variable. Conclusions In patients with high thromboembolic risk, MAPSE predicts the occurrence of stroke independent of LAA morphology and CHA2DS2-VASc score. This phenomenon could be related to the impact LV diastole on LAA emptying.

Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings

Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves a manual and qualitative evaluation of ultrasound imaging, which is a time-demanding and resource-intensive process with intraobserver- and interobserver variability. In practice, such measures can only be performed a limited number of times during the intervention. To overcome these difficulties, this study presents a robust method for automatic and quantitative monitoring of cardiac function based on 3D transesophageal echocardiography (TEE) B-mode ultrasound recordings of the left ventricle (LV). Such an assessment obtains consistent measurements and can produce a near real-time evaluation of ultrasound imagery. Hence, the presented method is time-saving and results in increased accessibility. The mitral annular plane systolic excursion (MAPSE), characterizing global LV function, is estimated by landmark detection and cardiac view classification of two-dimensional images extracted along the long-axis of the ultrasound volume. MAPSE estimation directly from 3D TEE recordings is beneficial since it removes the need for manual acquisition of cardiac views, hence decreasing the need for interference by physicians. Two convolutional neural networks (CNNs) were trained and tested on acquired ultrasound data of 107 patients, and MAPSE estimates were compared to clinically obtained references in a blinded study including 31 patients. The proposed method for automatic MAPSE estimation had low bias and low variability in comparison to clinical reference measures. The method accomplished a mean difference for MAPSE estimates of (−0.16±1.06) mm. Thus, the results did not show significant systematic errors. The obtained bias and variance of the method were comparable to inter-observer variability of clinically obtained MAPSE measures on 2D TTE echocardiography. The novel pipeline proposed in this study has the potential to enhance cardiac monitoring in perioperative- and intensive care settings.

Mitral annular plane systolic excursion for assessing left ventricular systolic dysfunction in patients with septic shock

BackgroundUsing easy-to-determine bedside measurements, we developed an echocardiographic algorithm for predicting left ventricular ejection fraction (LVEF) and longitudinal strain (LVLS) in patients with septic shock. MethodsWe measured septal and lateral mitral annular plane systolic excursion (MAPSE), septal and lateral mitral S-wave velocity, and the left ventricular longitudinal wall fractional shortening in patients with septic shock. We used a conditional inference tree method to build a stratification algorithm. The left ventricular systolic dysfunction was defined as an LVEF <50%, an LVLS greater than −17%, or both. ResultsWe included 71 patients (males: 61%; mean [standard deviation] age: 61 [15] yr). Septal MAPSE (cut-off: 1.2 cm) was the best predictor of left ventricular systolic dysfunction. The level of agreement between the septal MAPSE and the left ventricular systolic dysfunction was 0.525 [0.299–0.751]. A septal MAPSE ≥1.2 cm predicted normal LVEF in 17/18 patients, or 94%. In contrast, a septal MAPSE <1.2 cm predicted left ventricular systolic dysfunction with impaired LVLS in 46/53 patients (87%), although 32/53 (60%) patients had a preserved LVEF. ConclusionsSeptal MAPSE is easily measured at the bedside and might help clinicians to detect left ventricular systolic dysfunction early—especially when myocardial strain measurements are not feasible.

Fully automated AI-based cardiac motion parameter extraction – application to mitral and tricuspid valves on long-axis cine MR images

PurposeIn cardiac MRI, valve motion parameters can be useful for the diagnosis of cardiac dysfunction. In this study, a fully automated AI-based valve tracking system was developed and evaluated on 2- or 4-chamber view cine series on a large cardiac MR dataset. Automatically derived motion parameters include atrioventricular plane displacement (AVPD), velocities (AVPV), mitral or tricuspid annular plane systolic excursion (MAPSE, TAPSE), or longitudinal shortening (LS). MethodTwo sequential neural networks with an intermediate processing step are applied to localize the target and track the landmarks throughout the cardiac cycle. Initially, a localisation network is used to perform heatmap regression of the target landmarks, such as mitral, tricuspid valve annulus as well as apex points. Then, a registration network is applied to track these landmarks using deformation fields. Based on these outputs, motion parameters were derived. ResultsThe accuracy of the system resulted in deviations of 1.44 ± 1.32 mm, 1.51 ± 1.46 cm/s, 2.21 ± 1.81 mm, 2.40 ± 1.97 mm, 2.50 ± 2.06 mm for AVPD, AVPV, MAPSE, TAPSE and LS, respectively. Application on a large patient database (N = 5289) revealed a mean MAPSE and LS of 9.5 ± 3.0 mm and 15.9 ± 3.9 % on 2-chamber and 4-chamber views, respectively. A mean TAPSE and LS of 13.4 ± 4.7 mm and 21.4 ± 6.9 % was measured. ConclusionThe results demonstrate the versatility of the proposed system for automatic extraction of various valve-related motion parameters.

Regional motion of the AV-plane is related to the cardiac anatomy and deformation of the AV-plane. Data from the HUNT Study.

The study examines global and regional systolic shortening of the left (LV) and right ventricle (RV) in 1266 individuals without evidence of heart disease in the third wave of the HUNT study. Regional mitral annular systolic displacement (MAPSE) was 1.5 cm in the septum and anterior walls, 1.6 cm in the lateral wall and 1.7 cm in the inferior wall, global mean 1.6 cm. Peak systolic velocity S' was 8.0, 8.3, 8.8 and 8.6 cm/s in the same walls (global mean 8.7 cm/s). All measures of LV longitudinal shortening correlated, mean MAPSE and S' also correlated with stroke volume (SV) and ejection fraction (EF). Global longitudinal strain by either method correlated with MAPSE, S' and EF, but not with SV, reflecting a systematic difference. S' and MAPSE correlated with early annular diastolic velocity (e'), reflecting that e' is the recoil from systole. Mean displacement was 2.8 (0.5) cm in the tricuspid annulus (TAPSE). Normal values by age and sex are provided. Both TAPSE and S' were lower in women, where body size explained the sex difference. Normalization of MAPSE and S' for wall length reduced intra-individual variation of displacement and velocity by 80 - 90%, showing regional MAPSE to be related to LV wall length, and that longitudinal wall strain was relatively uniform. Displacement and S' were lowest in the septum and highest in the left and right free walls, shows systolic bending of the AV-plane into a U-shape, relating to the total cardiac volume changes during the heart cycle. This article is protected by copyright. All rights reserved.

Evaluation of Fetal Cardiac Functions in Preeclampsia: Does the Severity or Proteinuria Affect Fetal Cardiac Functions?

To compare the fetal cardiac functions in preeclampsia and control group, and determine whether the severity or amount of proteinuria affects fetal cardiac functions. This prospective case-control study involves 48 pregnant women with preeclampsia and 48 healthy women. Pulsed wave Doppler, M-mode, and tissue Doppler imaging were used to measure the cardiac function between the 32 and 34 gestational weeks in each group. All Doppler indices and cardiac function parameters were also compared in subgroups with mild and severe preeclampsia and between subgroups with proteinuria >3 g/24 hours and <3 g/24 hours. Decreased diastolic function (decreased E, A, E', and A' values in mitral/tricuspid valves and increased isovolumetric relaxation time) and decreased systolic functions (decreased mitral and tricuspid annular plane systolic excursion and S' value in mitral/tricuspid valves) were detected in the preeclampsia group. Decreased tricuspid E value in severe preeclampsia compared with mild preeclampsia was shown in the present study. Preeclampsia may cause changes in systolic and diastolic functions in the fetal heart. Subclinical functional changes of these fetuses can be detected earlier and more sensitively with the help of tissue Doppler imaging. Biventricular diastolic functional changes are more prominent in preeclamptic cases with proteinuria >3 g/24 hours.