Isovolumic Contraction Velocity in Heart Failure With Reduced Ejection Fraction and Effect of Sacubitril/Valsartan: the PROVE-HF Study.

OBJECTIVES: To assess tissue Doppler-derived mitral annular isovolumic contraction velocity (ICV) after starting sacubitril/valsartan (sac/val) for the treatment of heart failure with reduced ejection fraction (HFrEF) and left ventricular [LV] EF < 40%). BACKGROUND: ICV may inform load-independent systolic function; combining ICV and LVEF may improve assessment of LV contractility. METHODS: Among 651 participants with HFrEF treated with sac/val, echocardiograms were performed at baseline, 6 and 12 months. Pretreatment median ICVs and LVEFs were used for classification to predict LV reverse remodeling, health status using the Kansas City Cardiomyopathy Questionnaire, and biomarker concentrations. RESULTS: The mean age was 64.6 ± 12.4 years, and 28% were women, baseline LVEF: 28.9% ± 6.9%. Compared to baseline, median ICV increased post sac/val therapy (4.6 [3.5, 6.1] vs 4.9 [3.6, 6.4]; P = 0.005). ICV added value to separate and combined models of biomarkers and clinical and echocardiographic variables for prediction of post-therapy EF recovery. Classification using baseline ICV/EF yielded relatively equal numbers in 4 groups based on low/high ICV or LVEF. Most deleterious results for remodeling, health status and biomarkers were found in patients with low ICV/low EF, whereas patients with high ICV/high EF had the best profiles; other groups were intermediate. Significant shifts toward better ICV/EF profiles were noted post sac/val treatment compared to baseline, with doubling of high ICV/high EF (241 [60%] vs 123 [31%]) and 78% reduction of low ICV/low EF (28 [7%] vs 125 [32%]). CONCLUSIONS: In HFrEF, ICV adds to the profiling of systolic function and represents an independent predictor of reverse cardiac remodeling after treatment with sac/val. ICV changes may be used for assessment of treatment responses.

Prognostic significance of incorporating exercise tissue doppler mitral annular early diastolic velocity in exercise diastolic dysfunction assessment.

BACKGROUND: The existing algorithm for defining exercise-induced diastolic dysfunction incorporates resting e' velocity as a surrogate of myocardial relaxation. The additive prognostic value of incorporating post-exercise e' velocity in definition of exercise-induced diastolic dysfunction is poorly studied. AIM: To define the additive prognostic value of post-exercise e' septal velocity in the assessment of exercise-induced diastolic dysfunction compared to the traditional approach. METHODS: This retrospective study included 1409 patients undergoing exercise treadmill echocardiography with available full set of diastolic variables. Doppler measures of diastolic function included resting septal e' velocity, post-exercise septal e' velocity, post-exercise E/e' ratio, and post-exercise tricuspid regurgitant jet velocity. Approaches incorporating resting septal e' velocity and post-exercise septal e' velocity were compared in defining exercise-induced diastolic dysfunction, and for association with adverse cardiovascular outcomes. RESULTS: The mean age of study subjects was 56.3 ± 16.5 years and 791 (56%) patients were women. A total of 524 patients had disagreement between resting and post exercise septal e' velocities, and these values showed only weak agreement (kappa statistics: .28, P = .02). All categories of the traditional exercise-induced DD approach incorporating resting septal e' velocity witnessed reclassification when exercise septal e' velocity was used. When both approaches were compared, increased event rates were only evident when both approaches agreed on exercise-induced diastolic dysfunction (HR: 1.92, P < .001, 95% CI: 1.37-2.69). This association persisted after multivariable adjustment and propensity score matching for covariates. CONCLUSION: Incorporation of post-exercise e' velocity into the set of variables defining exercise-induced diastolic dysfunction can improve the prognostic utility of diastolic function assessment.

Improved Performance of PET Myocardial Perfusion Imaging Compared to SPECT in the Evaluation of Suspected CAD.

PURPOSE OF REVIEW: Myocardial perfusion imaging (MPI) with single photon emission computed tomography (SPECT) has played a central role in the non-invasive evaluation of patients with obstructive coronary artery disease (CAD) for decades. In this review, we discuss the key differences and advantages of positron emission tomography (PET) MPI over SPECT MPI as it relates to the diagnosis, prognosis, as well as clinical decision-making in patients with suspected CAD. RECENT FINDINGS: Stress-induced perfusion abnormalities on SPECT help estimate presence, extent, and location of ischemia and flow-limiting obstructive CAD, help with risk stratification, and serve as a gatekeeper to identify patients who will benefit from downstream revascularization versus medical management. Some of the major limitations of SPECT include soft-tissue attenuation artifacts, underestimation of ischemia due to reliance on relative perfusion assessment, and longer protocols with higher radiation dose when performed with traditional equipment. PET MPI addresses most of these limitations and offers better quality images, higher diagnostic accuracy along with shorter protocols and lower radiation dose to the patient. A special advantage of PET scanning lies in the ability to quantify absolute myocardial blood flow and assess true extent of epicardial involvement along with identifying non-obstructive phenotypes of CAD such as diffuse atherosclerosis and microvascular dysfunction. In addition, stress acquisition at/near peak stress with PET allows us to measure left ventricular ejection fraction reserve and myocardial blood flow reserve, which help with identifying patients at a higher risk of future cardiac events and optimally select candidates for revascularization. The several technical advantages of PET MPI position as a superior method to diagnose obstructive and non-obstructive phenotypes of ischemic heart disease affecting the entirety of the coronary circulation offer incremental value for risk stratification and guide post-test management strategy for patients with suspected CAD.

Tissue Doppler derived biphasic velocities during the pre and post-ejection phases: patterns, concordance and hemodynamic significance in health and disease.

BACKGROUND: Pre-(PRE) and post-ejection (POE) velocities by mitral annular tissue Doppler (TD) are biphasic and may be related to myocardial deformations. We investigated the predominance and concordance of TD-PRE and POE velocities and their effect on myocardial functions in controls and in heart failure (HF) patients. METHODS: Retrospectively, 84 HF patients [57.6 years, 28(33%) females, NYHA: 2.3 ± 0.6, EF: 55 ± 15%, 52(62%) preserved EF, and 32(38%) reduced EF], 42 normal young controls, and 26 asymptomatic age matched controls were included. Echocardiography was done and from mitral annular tissue Doppler recordings, the biphasic PRE and POE velocity signals were identified and compared between groups. RESULTS: While controls had almost always predominantly positive PRE and negative POE, HF had more negative PRE and positive POE. Moreover, almost all controls exhibited normal concordance (positive PRE and negative POE). HF exhibited more abnormal concordance which was significantly associated with worse NYHA, and parameters of diastolic and systolic functions. Opposite PRE and POE velocities correlated significantly in all groups (PREp vs POEn: young:r = 0.52, p < 0.001, age controls:r = 0.79, p < 0.001, HFpEF: r = 0.56, p < 0.001, HFrEF: r = 0.42, p = 0.018; PREn vs POEp: young: r = 0.25,p = 0.1, age controls: r = 0.42, p = 0.04, HFpEF: r = 0.43, p = 0.004, HFrEF: r = 0.61, p < 0.001) and the ratios PRE-P/N and POE-N/P correlated significantly with E/e' in HF only. CONCLUSIONS: In physiological state, TD signals are predominantly positive during PRE and negative during POE. Opposite PRE and POE velocities corelate, representing the PRE-generation and POE-reversal of shortening-stretch relationships, the attenuation of which in HF may be related to elevated LV filling pressures. In HF, partially or completely reversed concordance of PRE and POE is associated with progressive worsening of clinical and hemodynamic profiles.

COVID-19 in the Healthy Patient Population: Demographic and Clinical Phenotypic Characterization and Predictors of In-Hospital Outcomes.

OBJECTIVE: Coronavirus disease 2019 (COVID-19) can infect patients in any age group including those with no comorbid conditions. Understanding the demographic, clinical, and laboratory characteristics of these patients is important toward developing successful treatment strategies. Approach and Results: In a retrospective study design, consecutive patients without baseline comorbidities hospitalized with confirmed COVID-19 were included. Patients were subdivided into ≤55 and >55 years of age. Predictors of in-hospital mortality or mechanical ventilation were analyzed in this patient population, as well as subgroups. Stable parameters in overall and subgroup models were used to construct a cluster model for phenotyping of patients. Of 1207 COVID-19-positive patients, 157 met the study criteria (80≤55 and 77>55 years of age). Most reliable predictors of outcomes overall and in subgroups were age, initial and follow-up d-dimer, and LDH (lactate dehydrogenase) levels. Their predictive cutoff values were used to construct a cluster model that produced 3 main clusters. Cluster 1 was a low-risk cluster and was characterized by younger patients who had low thrombotic and inflammatory features. Cluster 2 was intermediate risk that also consisted of younger population that had moderate level of thrombosis, higher inflammatory cells, and inflammatory markers. Cluster 3 was a high-risk cluster that had the most aggressive thrombotic and inflammatory feature. CONCLUSIONS: In healthy patient population, COVID-19 remains significantly associated with morbidity and mortality. While age remains the most important predictor of in-hospital outcomes, thromboinflammatory interactions are also associated with worse clinical outcomes regardless of age in healthy patients.

Unsupervised clustering for phenotypic stratification of clinical, demographic, and stress attributes of cardiac risk in patients with nonischemic exercise stress echocardiography.

INTRODUCTION AND AIM: Patients undergoing exercise echocardiography with no evidence of myocardial ischemia are considered a low-risk group; however, this group is likely heterogeneous in terms of short-term adverse events and subsequent cardiac testing. We hypothesized that unsupervised cluster modeling using clinical and stress characteristics can detect heterogeneity in cardiovascular risk and need for subsequent cardiac testing among these patients. METHODS: We retrospectively studied 445 patients who had exercise echocardiography results negative for myocardial ischemia. All patients were followed for adverse cardiovascular events, subsequent cardiac testing, and nonacute coronary syndrome (ACS) revascularization. The heterogeneity of the study subjects was tested using computational clustering, an exploratory statistical method designed to uncover invisible natural groups within data. Clinical and stress predictors of adverse events were extracted and used to construct 3 unsupervised cluster models: clinical, stress, and combined. The study population was split into training (357 patients) and testing sets (88 patients). RESULTS: In the training set, the clinical, stress, and combined cluster models yielded 5, 4, and 3 clusters, respectively. Each model had 1 high-risk and 1 low-risk cluster while other clusters were intermediate. The combined model showed a better predictive ability compared to the clinical or stress models alone. The need for future testing mirrored the pattern of adverse cardiovascular events. A risk score derived from the combined cluster model predicted end points with acceptable accuracy. The patterns of risk and the calculated risk scores were preserved in the testing set. CONCLUSIONS: Patients with no evidence of ischemia on exercise stress echocardiography represent a heterogeneous group. Cluster-based modeling using combined clinical and stress characteristics can expose this heterogeneity. The findings can help better risk-stratify this group of patients and aid cost-effective healthcare utilization toward better diagnostics and therapeutics.

Advances in Echocardiographic Imaging in Heart Failure With Reduced and Preserved Ejection Fraction.

Echocardiography, given its safety, easy availability, and the ability to permit a comprehensive assessment of cardiac structure and function, is an indispensable tool in the evaluation and management of patients with heart failure (HF). From initial phenotyping and risk stratification to providing vital data for guiding therapeutic decision-making and monitoring, echocardiography plays a pivotal role in the care of HF patients. The recent advent of multiparametric approaches for myocardial deformation imaging has provided valuable insights in the pathogenesis of HF, elucidating distinct patterns of myocardial dysfunction and events that are associated with progression from subclinical stage to overt HF. At the same time, miniaturization of echocardiography has further expanded clinical application of echocardiography, with the use of pocket cardiac ultrasound as an adjunct to physical examination demonstrated to improve diagnostic accuracy and risk stratification. Furthermore, ongoing advances in the field of big data analytics promise to create an exciting opportunity to operationalize precision medicine as the new approach to healthcare delivery that aims to individualize patient care by integrating data extracted from clinical, laboratory, echocardiographic, and genetic assessments. The present review summarizes the recent advances in the field of echocardiography, with emphasis on their role in HF phenotyping, risk stratification, and optimizing clinical outcomes.

Deep Learning for Echocardiography: Introduction for Clinicians and Future Vision: State-of-the-Art Review.

Exponential growth in data storage and computational power is rapidly narrowing the gap between translating findings from advanced clinical informatics into cardiovascular clinical practice. Specifically, cardiovascular imaging has the distinct advantage in providing a great quantity of data for potentially rich insights, but nuanced interpretation requires a high-level skillset that few individuals possess. A subset of machine learning, deep learning (DL), is a modality that has shown promise, particularly in the areas of image recognition, computer vision, and video classification. Due to a low signal-to-noise ratio, echocardiographic data tend to be challenging to classify; however, utilization of robust DL architectures may help clinicians and researchers automate conventional human tasks and catalyze the extraction of clinically useful data from the petabytes of collected imaging data. The promise is extending far and beyond towards a contactless echocardiographic exam-a dream that is much needed in this time of uncertainty and social distancing brought on by a stunning pandemic culture. In the current review, we discuss state-of-the-art DL techniques and architectures that can be used for image and video classification, and future directions in echocardiographic research in the current era.

Corrigendum: D-dimer trends elaborate the heterogeneity of risk in hospitalized patients with COVID-19: a multi-national case series from different waves.

[This corrects the article DOI: 10.3389/fmed.2023.1103842.].

D-dimer trends elaborate the heterogeneity of risk in hospitalized patients with COVID-19: A multi-national case series from different waves.

Introduction: Variable D-dimer trends during hospitalization reportedly result in distinct in-hospital mortality. In this multinational case series from the first and second waves, we show the universality of such D-dimer trends. Methods: We reviewed 405 patients with COVID-19 during the first wave admitted to three institutions in the United States, Italy, and Colombia, and 111 patients admitted to the U.S. site during the second wave and 55 patients during the third wave. D-dimer was serially followed during hospitalization. Results: During the first wave, 66 (15%) patients had a persistently-low pattern, 33 (8%) had early-peaking, 70 (16%) had mid-peaking, 94 (22%) had fluctuating, 30 (7%) had late-peaking, and 112 (26%) had a persistently-high pattern. During the second and third waves, similar patterns were observed. D-dimer patterns were significantly different in terms of in-hospital mortality similarly in all waves. Patterns were then classified into low-risk patterns (persistently-low and early-peaking), where no deaths were observed in both waves, high-risk patterns (mid-peaking and fluctuating), and malignant patterns (late-peaking and persistently-high). Overall, D-dimer trends were associated with an increased risk for in-hospital mortality in the first wave (overall: HR: 1.73) and stayed the same during the second (HR: 1.67, p < 0.001) and the third (HR: 4.4, p = 0.001) waves. Conclusion: D-dimer behavior during COVID-19 hospitalization yielded universal categories with distinct mortality risks that persisted throughout all studied waves of infection. Monitoring D-dimer behavior may be useful in the management of these patients.

Atrial Fibrillation in Heart Failure with Preserved Left Ventricular Systolic Function: Distinct Elevated Risk for Cardiovascular Outcomes in Women Compared to Men.

Background: Heart failure with preserved ejection fraction (HFpEF) is prevalent in women and is associated with atrial fibrillation (AF). However, sex associations in AF-related HFpEF are not well explored. Aim: We studied differences between men and women with and without AF-related HFpEF symptoms on left ventricular (LV) geometry and diastolic dysfunction (DD) and their effect on cardiovascular events. Methods: Retrospectively, HFpEF patients with and without a history of AF referred for echocardiography were studied. Echocardiographic assessments were focused on LV geometry and diastolic functions. Patients were followed for the occurrence of cardiac events defined as death and cardiac hospitalization. Results: We studied 556 patients [age: 66.7 ± 17 years, 320 (58%) women, 91 (16%) AF]. Compared to HFpEF without AF (HFpEF-AF), HFpEF with AF patients (HFpEF+AF) were older (76 ± 13.8 vs. 64.9 ± 17.3 years, p < 0.001), had more risk factors, comorbidities, left ventricular hypertrophy (32 vs. 13%, p < 0.001), higher relative wall thickness (0.50 ± 0.14 vs. 0.44 ± 0.15, p < 0.001), and DD (56 vs. 30%, all p < 0.001). HFpEF+AF women had the worst clinical, LV geometric, and diastolic functional profiles and highest rates of cardiovascular outcomes compared to HFpEF+AF men and were the only group to predict outcomes (HR: 2.7, 95%CI: 1.4−5.1), while HFpEF-AF women were a low-risk group; HFpEF+AF and HFpEF-AF men had intermediate cardiovascular outcomes which were confirmed after propensity score matching. Conclusions: Among patients with HFpEF, women with AF had more abnormal LV geometry and diastolic function and had an increased risk of adverse cardiovascular outcomes independent of traditional risk factors, comorbidities, and baseline diastolic function.

Association between right ventricular dysfunction and in-hospital mortality in surges of SARS-CoV-2 infection attributed to the Alpha, Delta, and Omicron variants.

Background: Right ventricular (RV) dysfunction in acute COVID-19 was reported to be associated with poor prognosis. We studied the association between parameters of RV dysfunction and in-hospital mortality during the surges caused by different SARS-CoV-2 variants. Methods: In a retrospective single-center study, we enrolled 648 consecutive patients hospitalized with COVID-19 [66 (10 %) hospitalized during the alpha variant surge, 433 (67 %) during the delta variant surge, and 149 (23 %), during the omicron variant surge]. Patients were reported from a hospital with an underreported population of mostly African American and Hispanic patients. Patients were followed for a median of 11 days during which in-hospital death occurred in 155 (24 %) patients [Alpha wave: 25 (38 %), Delta Wave: 112 (26 %), Omicron wave: 18 (12 %), p < 0.001]. Results: RV dysfunction occurred in 210 patients (alpha: 32 %, 26 %, delta: 29 %, and omicron: 49 %, p < 0.001) and was associated with higher mortality across waves, however, independently predicted in-hospital mortality in the Alpha (HR = 5.1, 95 % CI: 2.06-12.5) and Delta surges (HR = 1.6, 95 % CI: 1.11-2.44), but not in the Omicron surge. When only patients with RV dysfunction were compared, the mortality risk was found to decrease significantly from the Alpha (HR = 13.6, 95 % CI: 3.31-56.3) to the delta (HR = 1.93, 95 % CI: 1.25-2.96) and to the Omicron waves (HR = 11, 95 % CI: 0.6-20.8). Conclusions: RV dysfunction continues to occur in all strains of the SARS-CoV-2 virus, however, the mortality risk decreased from wave to wave likely due to evolution of better therapeutics, increase rate of vaccination, or viral mutations resulting in decrease virulence.Registration number of clinical studies: BronxCare Hospital center institutional review board under the number 05 13 21 04.

Anticoagulation for hypercoagulability in severe critical COVID-19: A case series of fading and fatal cycles of microthrombosis.

The pathophysiology of the COVID-19 involves a systemic hypercoagulable state and systemic micro-thrombosis which can cause fatal consequences. Despite that anticoagulation seems an intuitive therapeutic option, the US National Institute of Health has issued a warning against its use in critically ill patients. We present five cases of imaging-proven or clinically suspected hypercoagulability with hemodynamic compromise despite therapeutic anticoagulation. We describe the patients with thoughts on links between pathophysiology and the laboratory values, clinical course, and imaging studies in each case. All patients presented to the hospital with symptoms and chest imaging suggestive of COVID-19 pneumonia. All patients presented with severe hypoxia requiring mechanical ventilation, and received full anticoagulation for treatment of hypercoagulable state suggested by elevated D-dimer. All but one patient received alteplase for thrombolytic therapy of suspected massive pulmonary embolism (PE). On the basis of this case series, hypercoagulability in COVID-19 is a late manifestation of the disease that persists despite anticoagulation, is cyclic in nature based on D-dimer despite thrombolysis, and is fatal if it rebounds. The use of anticoagulation and thrombolysis in these patients seemed harmful or non-beneficial. Early intervention before D-dimer elevation and hemodynamic compromise may benefit in preventing thromboembolic burden. .

Chronic hepatitis-C infection in COVID-19 patients is associated with in-hospital mortality.

BACKGROUND: There is little evidence about the association of pre-existing hepatitis C infection (HCV) with outcomes in patients with coronavirus disease 2019 (COVID-19). AIM: To assess the prevalence of history of HCV among patients with COVID-19 and to study the relationship of in-hospital mortality in relation with other predictors of poor outcomes in the presence or absence of COVID-19 induced acute liver injury. METHODS: In a retrospective single-center study design, 1193 patients with COVID-19 infection were studied. Patients were then classified into those with and without a history of HCV, 50 (4.1%) and 1157 (95.9%) respectively. RESULTS: Multivariate cox-regression models showed that age, HCV, D-Dimer, and ferritin were the only predictors of in-hospital mortality. Acute liver injury and fibrosis score (Fib-4 score) were not different between both groups. Multivariate cox-regression model for liver profile revealed that aspartate aminotransferase/ alanine aminotransferase ratio, Fib-4 score, and HCV were predictors of in-hospital mortality. After propensity score matching HCV was the only predictor of mortality in the multivariate cox-regression model. A model including HCV was found to add predictive value to clinical and laboratory parameters. CONCLUSION: In patients with COVID-19, history of HCV infection leads to an accentuated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virulence, irrespective of baseline comorbidities, admission laboratory variables, or COVID-19-induced liver injury, which may be related to extrahepatic effects of HCV leading to enhanced ACE-2/TMPRSS mechanisms of SARS-CoV-2 viral entry, baseline cytokine-mediated pro-inflammation, and endothelial dysfunction.

Combined atrioventricular longitudinal strain rate during isovolumic contraction predicts pulmonary capillary wedge pressure in patients with systolic dysfunction.

BACKGROUND: Reportedly, mitral annular velocities derived by tissue Doppler imaging (TDI)-during isovolumic contraction (IVV) can predict pulmonary capillary wedge pressure (PCWP) in heart failure patients with depressed ejection fraction (EF). We investigated the use of color TDI-derived left atrial (LA) and left ventricular (LV) longitudinal strain rate (SR) during isovolumic contraction (IC) to predict the invasively measured PCWP. METHODS AND RESULTS: Forty patients referred with symptoms of heart failure were prospectively studied [age: 56±8 years, 12 (30%) females, and mean LVEF: 51±14%]. PCWP was measured invasively immediately after echocardiography. Mitral annular IVV was measured for all patients and SR during the IC and ejection were measured for the LV (LVSR-IC, LVSR-Ej) as well as the LA (LASR-IC, and LASR-Ej). Atrioventricular SR during IC and Ej (AVSR-IC, AVSR-Ej) was calculated as the sum of the LV and LA values. Patients were classified and compared based on their EF into 19 (49%) with EF≥55%, and 21 (51%) with EF<55%. No significant differences were noted for age, sex, risk factors, and medications between both patients with EF≥55% and EF<55%. Compared to EF≥55%, patients with EF<55% had lower IVV (4.63±1.2 vs. 7.01±1.9 cm/s, P<0.001), LVSR-Ej (1±0.3 vs. 1.2±0.2, P=0.03), LASR-IC (1.3±0.6 vs. 1.9±1, P=0.03), LASR-Ej (1.5±0.5 vs. 2.6±1.3 s-1, P=0.001), AVSR-IC (2±0.8 vs. 2.7±1.06 s-1, P=0.023), and AVSR-Ej (2.5±0.6 vs. 3.9±1.1 s-1, <0.001). LVSR-IC, LVSR-Ej, LASR-IC, AVSR-IC, and IVV correlated with PCWP in only in EF<55%, with the strongest correlation noted for AVSR-IC (r=-0.72, <0.001). Other correlates with PCWP in EF<55% were E/e' and left atrial volume (r=0.47, 0.7, P=0.04, 0.001; respectively). Multivariate regression revealed that in patients with EF<55% AVSR-IC was the only independent predictor of PCWP. Finally, IVV correlated with LVSR-IC and LASR-IC and this correlation became strongest with AVSR-IC (r=0.77, 0.001). CONCLUSION: The combined LV and LA longitudinal SR during IC as represented by AVSR-IC showed a strong correlation with PCWP in patients with depressed EF. The correlation between mitral annular IVV and PCWP in those patients can be a product of this combination and may a function of atrioventricular mechanical coupling.

Comparison of transesophageal and transthoracic echocardiography under moderate sedation for guiding transcatheter aortic valve replacement.

The optimal periprocedural imaging strategy during transcathether aortic valve replacement (TAVR) performed under moderate sedation is debated. Transthoracic echocardiography (TTE) provides suboptimal views due to poorer resolution and patient positioning, whereas use of transesophageal echocardiography (TEE) under moderate sedation is not widely utilized. The aim of our study was to compare the value of TTE in comparison with TEE guidance under moderate sedation during TAVR. The study population included 144 consecutive patients (mean age 83 ± 11 years, 78 (54%) females) who had TAVR under moderate sedation using either a TTE (n = 96) or TEE (n = 48). We compared procedural outcomes using propensity score matching. There were no significant inter-group differences in age, sex, ejection fraction, aortic valve area, pressure gradients, creatinine or type of valve used. The procedural time was significantly shorter in the TEE group (P < 0.001) and associated with a lower need for periprocedural aortograms (7.7 ± 1.9 vs 8.2 ± 1.9, P = 0.022) and a lower occurrence of acute kidney injury (1 vs 11, P = 0.047). The 1:1 propensity score matching also showed a lower procedural time (P = 0.032), number of aortograms (P = 0.014) and a trend toward lower acute kidney injury in the TEE group (P = 0.077). TAVR guidance using TEE is associated with a lower fluoroscopic time, a lower need for additional aortograms and trend in lower occurrence of post-TAVR acute kidney injury.

Precision Phenotyping in Heart Failure and Pattern Clustering of Ultrasound Data for the Assessment of Diastolic Dysfunction.

OBJECTIVES: The aim of this study was to investigate whether cluster analysis of left atrial and left ventricular (LV) mechanical deformation parameters provide sufficient information for Doppler-independent assessment of LV diastolic function. BACKGROUND: Medical imaging produces substantial phenotyping data, and superior computational analyses could allow automated classification of repetitive patterns into patient groups with similar behavior. METHODS: The authors performed a cluster analysis and developed a model of LV diastolic function from an initial exploratory cohort of 130 patients that was subsequently tested in a prospective cohort of 44 patients undergoing cardiac catheterization. Patients in both study groups had standard echocardiographic examination with Doppler-derived assessment of diastolic function. Both the left ventricle and the left atrium were tracked simultaneously using speckle-tracking echocardiography (STE) for measuring simultaneous changes in left atrial and ventricular volumes, volume rates, longitudinal strains, and strain rates. Patients in the validation group also underwent invasive measurements of pulmonary capillary wedge pressure and LV end diastolic pressure immediately after echocardiography. The similarity between STE and conventional 2-dimensional and Doppler methods of diastolic function was investigated in both the exploratory and validation cohorts. RESULTS: STE demonstrated strong correlations with the conventional indices and independently clustered the patients into 3 groups with conventional measurements verifying increasing severity of diastolic dysfunction and LV filling pressures. A multivariable linear regression model also allowed estimation of E/e' and pulmonary capillary wedge pressure by STE in the validation cohort. CONCLUSIONS: Tracking deformation of the left-sided cardiac chambers from routine cardiac ultrasound images provides accurate information for Doppler-independent phenotypic characterization of LV diastolic function and noninvasive assessment of LV filling pressures.