Publications by authors named "Lauren Beussink-Nelson"

Article Synopsis
  • The study aimed to establish normal echocardiographic values for heart chamber size and function in healthy adults aged 65 and older, addressing the lack of clear definitions for age-related cardiac health.
  • Analysis of 3,032 participants, with 608 fitting healthy aging criteria, revealed that sex and race/ethnicity significantly affected cardiac structure and function, including noted differences in chamber size and function.
  • Current guidelines erroneously classified 81.6% of healthy older adults as having cardiac abnormalities, highlighting the need for updated standards that reflect the diversity within this population.
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Right ventricular (RV) to pulmonary arterial (PA) coupling describes the ability of the RV to augment contractility in response to increased afterload. Several echocardiographic indexes of RV-PA coupling have been defined; however, the optimal numerator in the coupling ratio is unclear. We sought to establish which of these ratios is best for assessing RV-PA coupling based on their relations with 6-minute walk distance (6MWD), N-terminal pro-B-type natriuretic peptide (NT-proBNP), and the Kansas City Cardiomyopathy Questionnaire (KCCQ) in aging adults.

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Article Synopsis
  • Normalization of echocardiographic measurements based on body surface area can misclassify patients with obesity or sarcopenia, highlighting the need for better alternative normalization methods.
  • A study involving 3032 individuals assessed echocardiographic parameters, focusing on a subgroup of 608 without cardiopulmonary diseases to derive normative values based on various body size indexation methods.
  • The findings indicate that body surface area and height provided more consistent results across different racial and ethnic groups, with height showing the least variability between sexes.
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Background: Current prevalence estimates of heart failure (HF) are primarily based on self-report or HF hospitalizations. There is an unmet need to define the prevalence and pathogenesis of early symptomatic HF, which may be undiagnosed and precedes HF hospitalization.

Methods: The MESA (Multi-Ethnic Study of Atherosclerosis) Early HF study was conducted during MESA exam 6 to determine the prevalence of early HF and investigate the transition from risk factors to early HF in a diverse population-based cohort of older adults.

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Article Synopsis
  • Echocardiographic strain imaging is important for assessing heart function, and deep learning (DL) algorithms can automate its interpretation.
  • An automated DL-based algorithm for measuring left ventricular strain was trained and validated using datasets from various studies, showing high accuracy compared to manual measurements.
  • The study concluded that DL algorithms can interpret echocardiographic strain images effectively, potentially improving accessibility to cardiac assessments.
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Article Synopsis
  • The study aimed to establish standard echocardiographic values for heart chamber size and function in older adults (≥ 65 years) who are healthy and free of major health conditions.
  • Analyzed data from 608 participants revealed significant differences in heart structure and function based on sex and race; women had smaller chambers and better heart function, while White participants exhibited larger heart dimensions compared to other groups.
  • The findings suggest that current guidelines may misclassify a significant number of healthy older adults as having cardiac abnormalities, emphasizing the need for revised standards that account for differences in heart health associated with aging.
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Aims: Among genetically at-risk first-degree relatives (FDRs) of probands with dilated cardiomyopathy (DCM), the ability to detect changes in left ventricular (LV) mechanics with normal LV size and ejection fraction (LVEF) remains incompletely explored. We sought to define a pre-DCM phenotype among at-risk FDRs, including those with variants of uncertain significance (VUSs), using echocardiographic measures of cardiac mechanics.

Methods And Results: LV structure and function, including speckle-tracking analysis for LV global longitudinal strain (GLS), were evaluated in 124 FDRs (65% female; median age 44.

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Although the echocardiographic:derived ratio of tricuspid annular plane systolic excursion (TAPSE) to pulmonary arterial systolic pressure (PASP) is an important prognostic tool in heart failure (HF), the relation with 6-minute walk distance (6MWD) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) is less established. We sought to establish the normative values of TAPSE:PASP among older adults without cardiovascular disease (CVD) and evaluate the relation with NT-proBNP and 6MWD. Among 1,542 participants of the Multi-Ethnic Study of Atherosclerosis-HF ancillary study, the cross-sectional association of TAPSE:PASP with the outcomes of 6MWD and NT-proBNP was analyzed using multivariable linear regression, with progressive adjustment for sociodemographic and CVD risk factors.

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Unsupervised machine learning (phenomapping) has been used successfully to identify novel subgroups (phenogroups) of heart failure with preserved ejection fraction (HFpEF). However, further investigation of pathophysiological differences between HFpEF phenogroups is necessary to help determine potential treatment options. We performed speckle-tracking echocardiography and cardiopulmonary exercise testing (CPET) in 301 and 150 patients with HFpEF, respectively, as part of a prospective phenomapping study (median age 65 [25th to 75th percentile 56 to 73] years, 39% Black individuals, 65% female).

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Aim: Epicardial adipose tissue (EAT) may play a role in the pathophysiology of heart failure with preserved ejection fraction (HFpEF). We investigated associations of EAT with proteomics, coronary flow reserve (CFR), cardiac structure and function, and quality of life (QoL) in the prospective multinational PROMIS-HFpEF cohort.

Methods And Results: Epicardial adipose tissue was measured by echocardiography in 182 patients and defined as increased if ≥9 mm.

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Article Synopsis
  • The study aimed to evaluate if intrinsic subset (IS) classification based on skin gene expression in systemic sclerosis (SSc) patients provides more useful clinical insights compared to standard classifications.
  • Researchers classified 223 participants, including SSc patients and healthy participants, into four IS categories and assessed various clinical parameters such as skin thickness and lung function.
  • Results indicated that IS classification revealed distinct patient subgroups, notably highlighting that inflammatory IS had greater skin involvement and that a specific Fibroproliferative IS was linked to higher rates of lung disease, suggesting it may be a better method for understanding SSc phenotypes.
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  • Women who have adverse pregnancy outcomes (APO) are at increased risk for cardiovascular disease (CVD), but their understanding of this risk is not well studied.
  • A survey of women who recently gave birth found that while most recognized CVD as a leading cause of death, those who experienced an APO didn't show significantly higher knowledge scores about CVD than those who didn't.
  • However, women with an APO had a greater perceived personal risk for CVD, indicating a need for better education during the postpartum period when healthcare interaction is heightened.
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Background: Pericardial fat has been associated with adverse cardiovascular outcomes through adiposity-associated inflammation and insulin resistance, which in turn are linked to cardiac dysfunction. We sought to evaluate the association between pericardial fat volume and cardiac structure and function in adults without baseline cardiovascular disease.

Methods: We analyzed data from the Multi-Ethnic Study of Atherosclerosis.

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Aims: Little information is available on sex differences in coronary microvascular dysfunction (CMD) in heart failure with preserved ejection fraction (HFpEF). We investigated sex-specific proteomic profiles associated with CMD in patients with HFpEF.

Methods And Results: Using the prospective multinational PROMIS-HFpEF study (Prevalence of Microvascular Dysfunction in HFpEF; n = 182; 54.

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The effect of insulin resistance on left ventricular function is well documented; however, less is known regarding its effect on the right ventricle (RV). To evaluate the association between insulin resistance and RV function by echocardiography in a cohort of adults without baseline cardiovascular disease. We performed a retrospective cohort study in the MESA (Multi-Ethnic Study of Atherosclerosis).

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Background: Lower exercise capacity, as measured by 6-minute walk distance (6MWD), is associated with incident heart failure (HF). Among those without HF, the associations of measures of cardiac function with 6MWD are unclear, and may provide insight regarding the risk of incident HF.

Objectives: The purpose of this study was to understand the relationships between cardiac function and exercise capacity.

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Patients with rare conditions such as cardiac amyloidosis (CA) are difficult to identify, given the similarity of disease manifestations to more prevalent disorders. The deployment of approved therapies for CA has been limited by delayed diagnosis of this disease. Artificial intelligence (AI) could enable detection of rare diseases.

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Impaired left atrial (LA) function in heart failure with preserved ejection fraction (HFpEF) is associated with adverse outcomes. A subgroup of HFpEF may have LA myopathy out of proportion to left ventricular (LV) dysfunction; therefore, we sought to characterize HFpEF patients with disproportionate LA myopathy. In the prospective, multicenter, Prevalence of Microvascular Dysfunction in HFpEF study, we defined disproportionate LA myopathy based on degree of LA reservoir strain abnormality in relation to LV myopathy (LV global longitudinal strain [GLS]) by calculating the residuals from a linear regression of LA reservoir strain and LV GLS.

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Background: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging. We aimed to evaluate the generalizability of the HFA-PEFF (Heart Failure Association Pre-test assessment, Echocardiography & natriuretic peptide, Functional testing, Final etiology) and weighted HFPEF (Heavy, 2 or more Hypertensive drugs, atrial Fibrillation, Pulmonary hypertension, Elder age > 60, elevated Filling pressures) diagnostic algorithms and associations with HF severity, coronary microvascular dysfunction and proteomic biomarkers.

Methods And Results: Diagnostic likelihood of HFpEF was calculated in the prospective, multinational PROMIS-HFpEF (Prevalence of microvascular dysfunction in HFpEF) cohort using current European Society of Cardiology recommendations, HFA-PEFF and HFPEF algorithms.

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Article Synopsis
  • Researchers studied how inflammation in the body might be connected to heart issues in people who have heart failure with preserved ejection fraction (HFpEF).
  • They looked at 228 patients and measured 248 proteins in their blood to see which ones were linked to inflammation and heart problems.
  • They found that more health issues (comorbidities) led to more inflammation, which caused worse heart function, showing that inflammation plays a big role in the heart problems of these patients.
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Aims: Diagnosing heart failure with preserved ejection fraction (HFpEF) is challenging. The newly proposed HFA-PEFF algorithm entails a stepwise approach. Step 1, typically performed in the ambulatory setting, establishes a pre-test likelihood.

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Background: Automated cardiac image interpretation has the potential to transform clinical practice in multiple ways, including enabling serial assessment of cardiac function by nonexperts in primary care and rural settings. We hypothesized that advances in computer vision could enable building a fully automated, scalable analysis pipeline for echocardiogram interpretation, including (1) view identification, (2) image segmentation, (3) quantification of structure and function, and (4) disease detection.

Methods: Using 14 035 echocardiograms spanning a 10-year period, we trained and evaluated convolutional neural network models for multiple tasks, including automated identification of 23 viewpoints and segmentation of cardiac chambers across 5 common views.

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Aims: To date, clinical evidence of microvascular dysfunction in patients with heart failure (HF) with preserved ejection fraction (HFpEF) has been limited. We aimed to investigate the prevalence of coronary microvascular dysfunction (CMD) and its association with systemic endothelial dysfunction, HF severity, and myocardial dysfunction in a well defined, multi-centre HFpEF population.

Methods And Results: This prospective multinational multi-centre observational study enrolled patients fulfilling strict criteria for HFpEF according to current guidelines.

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Objectives: This study sought to investigate how right ventricular (RV) contractile function and its coupling with pulmonary circulation (PC) stratify clinical phenotypes and outcome in heart failure preserved ejection fraction (HFpEF) patients.

Background: Pulmonary hypertension and RV dysfunction are key hemodynamic abnormalities in HFpEF.

Methods: Three hundred eighty seven HFpEF patients (mean age 64 ± 12 years, 59% females, left ventricular ejection fraction 59 ± 7%) underwent RV and pulmonary hemodynamic evaluation by echocardiography (entire population) and right heart catheterization (219 patients).

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We sought to evaluate whether unbiased machine learning of dense phenotypic data ("phenomapping") could identify distinct hypertension subgroups that are associated with the myocardial substrate (i.e., abnormal cardiac mechanics) for heart failure with preserved ejection fraction (HFpEF).

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