Deep intertrabecular recesses and overly pronounced trabeculations in one ventricle are the hallmarks of noncompaction cardiomyopathy (NCCM), a rare congenital cardiomyopathy but very rarely right ventricle (RV), or both ventricles may be involved. We reported a 5-day-old preterm newborn with signs of congestive heart failure that the transthoracic echocardiography (TTE) revealed deep intertrabecular recesses perfused from the left ventricle (LV) and RV cavity, as well as significantly increased wall thickness of the right ventricles and hypertrabeculations in the apical and midventricular segments.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10998051 | PMC |
| http://dx.doi.org/10.1016/j.radcr.2024.03.011 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comprehensive analysis of scRNA-seq and bulk RNA-seq reveals the non-cardiomyocytes heterogeneity and novel cell populations in dilated cardiomyopathy.
J Transl Med
January 2025
State Key Laboratory of Cardiovascular Diseases and Medical Innovation Center, School of Medicine, Shanghai East Hospital, Tongji University, Shanghai, 200120, China.
Background: Dilated cardiomyopathy (DCM) is one of the most common causes of heart failure. Infiltration and alterations in non-cardiomyocytes of the human heart involve crucially in the occurrence of DCM and associated immunotherapeutic approaches.
Methods: We constructed a single-cell transcriptional atlas of DCM and normal patients.
Artificial intelligence for hemodynamic monitoring with a wearable electrocardiogram monitor.
Commun Med (Lond)
January 2025
Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, USA.
Background: The ability to non-invasively measure left atrial pressure would facilitate the identification of patients at risk of pulmonary congestion and guide proactive heart failure care. Wearable cardiac monitors, which record single-lead electrocardiogram data, provide information that can be leveraged to infer left atrial pressures.
Methods: We developed a deep neural network using single-lead electrocardiogram data to determine when the left atrial pressure is elevated.
Development and validation of a nomogram to predict survival in septic patients with heart failure in the intensive care unit.
Sci Rep
January 2025
China Academy of Chinese Medical Sciences, Beijing, China.
Heart failure is a common complication in patients with sepsis, and individuals who experience both sepsis and heart failure are at a heightened risk for adverse outcomes. This study aims to develop an effective nomogram model to predict the 7-day, 15-day, and 30-day survival probabilities of septic patients with heart failure in the intensive care unit (ICU). This study extracted the pertinent clinical data of septic patients with heart failure from the Critical Medical Information Mart for Intensive Care (MIMIC-IV) database.
View Article and Find Full Text PDFA novel RFE-GRU model for diabetes classification using PIMA Indian dataset.
Sci Rep
January 2025
Department of Computer Science, Faculty of Computers and Information, Suez University, P. O. Box 43221, Suez, Egypt.
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes requires the most machine learning help to diagnose diabetes illness at an early stage, as it cannot be treated and adds significant complications to our health-care system.
View Article and Find Full Text PDFTaking a stand, ready or not: navigating sensitive end-of-life care conversations in patients with end-stage heart failure.
Eur J Cardiovasc Nurs
January 2025
Department of Oncology and Palliative Care, North Zealand Hospital, Dyrehavevej 29, 3400 Hillerød, Denmark.
Aims: Patients with heart failure (HF) often experience delayed identification of palliative care needs. While communication with HF patients and their caregivers is increasingly stressed, systematic conversations about end-of-life care wishes remain a gap. This study explores a dyad experience of Advance Care Planning (ACP) conversations in an HF outpatient clinic.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!