Identification of clinically relevant phenotypes in patients with Ebstein anomaly

The Association of Pulmonary Flow Characteristics With Cardiac Function in Tricuspid Valve Malformation Fetuses: Study With Two-Dimensional Speckle Tracking Echocardiography

OBJECTIVES

To explore the relationship between cardiac function and pulmonary flow characteristics in tricuspid valve malformation (TVM) fetuses by conventional and speckle tracking echocardiography.

METHODS

Eighty-eight TVM fetuses were retrospectively included and compared with 80 normal controls. TVM fetuses in each trimester were divided into two subgroups according to pulmonary flow characteristics: those with normal pulmonary flow (TVM-N) and those with reduced or absent pulmonary flow (TVM-R/A). Cardiac measurements, Celermajer index, and Simpson-Andrews-Sharland (SAS) score were obtained. Speckle tracking echocardiography was used to compute ventricular deformation parameters.

RESULTS

TVM fetuses demonstrated significantly lower global longitudinal strain (GLS) and strain rate for both ventricles than controls (all P < .05). When compared with TVM-N, left ventricular (LV) ejection fraction, LV fractional area change, right ventricular (RV) fractional area change, LVGLS, and RVGLS were significantly reduced (all P < .05), while the RV diameter Z-score, RV/LV diameter, SAS score, and Celermajer index were obviously increased in TVM-R/A in both trimesters (all P < .05). Both LVGLS and RVGLS correlated with cardiothoracic circumference ratio, RV diameter Z-score, RV/LV diameter, Celermajer index, and SAS score (all P < .01). There was a slow decline for LVGLS and RVGLS in TVM-N fetuses throughout the gestation. Conversely, these two parameters worsened rapidly in TVM-R/A group.

CONCLUSIONS

TVM fetuses present biventricular dysfunction by deformation analysis in the second and third trimester of pregnancy. TVM fetuses with reduced or absent pulmonary flow exhibit significantly greater impairment and more rapid deterioration of cardiac function, which may contribute to poor outcomes.

A Systematic Review of Ebstein’s Anomaly with Left Ventricular Noncompaction

Traditional definitions of Ebstein’s anomaly (EA) and left ventricular noncompaction (LVNC), two rare congenital heart defects (CHDs), confine disease to either the right or left heart, respectively. Around 15–29% of patients with EA, which has a prevalence of 1 in 20,000 live births, commonly manifest with LVNC. While individual EA or LVNC literature is extensive, relatively little discussion is devoted to the joint appearance of EA and LVNC (EA/LVNC), which poses a higher risk of poor clinical outcomes. We queried PubMed, Medline, and Web of Science for all peer-reviewed publications from inception to February 2022 that discuss EA/LVNC and found 58 unique articles written in English. Here, we summarize and extrapolate commonalities in clinical and genetic understanding of EA/LVNC to date. We additionally postulate involvement of shared developmental pathways that may lead to this combined disease. Anatomical variation in EA/LVNC encompasses characteristics of both CHDs, including tricuspid valve displacement, right heart dilatation, and left ventricular trabeculation, and dictates clinical presentation in both age and severity. Disease treatment is non-specific, ranging from symptomatic management to invasive surgery. Apart from a few variant associations, mainly in sarcomeric genes MYH7 and TPM1, the genetic etiology and pathogenesis of EA/LVNC remain largely unknown.

An ontology-based classification of Ebstein's anomaly and its implications in clinical adverse outcomes

BACKGROUND

Ebstein's anomaly (EA) is a rare congenital heart disease with significantly phenotypic heterogeneity, accompanied with multiple associated phenotypes. The classification of cases with EA based on a standardized vocabulary of phenotypic abnormalities from Human Phenotype Ontology (HPO) and its association with adverse clinical outcomes has yet to be investigated.

METHODS

We developed a deep phenotyping algorithm for Chinese electronic medical records (EMRs) from the Fuwai Hospital to ascertain EA cases. EA-associated phenotypes were standardized according to HPO annotation, and an unsupervised hierarchical cluster analysis was used to classify EA cases according to their phenotypic similarities. A survival analysis was conducted to study the association of the HPO-based cluster with survival or adverse clinical outcomes.

RESULTS

The ascertained EA cases were annotated to have a single or multiple HPO terms. Three distinct clusters with different combinations of HPO term in these cases were identified. The HPO-based classification of EA cases was not significantly associated with survival or adverse clinical outcomes at a mid-term follow-up.

CONCLUSIONS

Our study provided an important implication for studying the classification of congenital heart disease using HPO-based annotation. A long time follow-up will enable to confirm its association with adverse clinical outcomes.

Identification of clinically relevant phenotypes in patients with Ebstein anomaly

BACKGROUND

Ebstein anomaly (EA) is a heterogeneous congenital heart defect (CHD), frequently accompanied by diverse cardiac and extracardiac comorbidities, resulting in a wide range of clinical outcomes.

HYPOTHESIS

Phenotypic characterization of EA patients has the potential to identify variables that influence prognosis and subgroups with distinct contributing factors.

METHODS

A comprehensive cross-sectional phenotypic characterization of 147 EA patients from one of the main referral institutions for CHD in Colombia was carried out. The most prevalent comorbidities and distinct subgroups within the patient cohort were identified through cluster analysis.

RESULTS

The most prevalent cardiac comorbidities identified were atrial septal defect (61%), Wolff-Parkinson-White syndrome (WPW; 27%), and right ventricular outflow tract obstruction (25%). Cluster analysis showed that patients can be classified into 2 distinct subgroups with defined phenotypes that determine disease severity and survival. Patients in cluster 1 represented a particularly homogeneous subgroup with a milder spectrum of disease, including only patients with WPW and/or supraventricular tachycardia (SVT). Cluster 2 included patients with more diverse cardiovascular comorbidities.

CONCLUSIONS

This study represents one of the largest phenotypic characterizations of EA patients reported. The data show that EA is a heterogeneous disease, very frequently associated with cardiovascular and noncardiovascular comorbidities. Patients with WPW and SVT represent a homogeneous subgroup that presents with a less severe spectrum of disease and better survival when adequately managed. This should be considered when searching for genetic causes of EA and in the clinical setting.