AIMC Topic: Aortic Dissection

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Lactylation associated biomarkers and immune infiltration in aortic dissection.

Scientific reports Jul 1, 2025
Protein lactylation, a novel post-translational modification (PTM), has emerged as a critical factor in disease processes related to glycolysis and immune responses. However, its role in aortic dissection (AD) has yet to be thoroughly investigated. T...
Computational Biology Machine Learning Protein Processing, Post-Translational Biomarkers Aortic Dissection Humans Phosphoglycerate Kinase Animals Gene Expression Profiling Male Transcriptome Gene Regulatory Networks Mice
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Preoperative prediction of major adverse outcomes after total arch replacement in acute type A aortic dissection based on machine learning ensemble.

Scientific reports Jul 1, 2025
A machine learning model was developed and validated to predict postoperative complications in patients with acute type A aortic dissection (ATAAD) who underwent total arch replacement combined with frozen elephant trunk (TAR + FET), with the goal of...
Humans Machine Learning Retrospective Studies Female ROC Curve Treatment Outcome Aorta, Thoracic Aortic Dissection Blood Vessel Prosthesis Implantation Aged Male Middle Aged Postoperative Complications
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A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection.

Scientific reports May 8, 2025
This study aimed to demonstrate whether plasma galectin-3 could predict the development of postoperative delirium (POD) in patients with acute aortic dissection (AAD). Prospective, observational study. Cardiac surgery intensive care unit. Consecutive...
Postoperative Complications Risk Factors Humans Aged ROC Curve Delirium Prospective Studies Male Blood Proteins Aortic Dissection Biomarkers Middle Aged Galectins Galectin 3 Female
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Investigating long-term risk of aortic aneurysm and dissection from fluoroquinolones and the key contributing factors using machine learning methods.

Scientific reports Apr 16, 2025
The connection between fluoroquinolones and severe heart conditions, such as aortic aneurysm (AA) and aortic dissection (AD), has been acknowledged, but the full extent of long-term risks remains uncertain. Addressing this knowledge deficit, a retros...
Male Middle Aged Incidence Taiwan Female Risk Factors Aged Adult Fluoroquinolones Proportional Hazards Models Aortic Dissection Aortic Aneurysm Humans Machine Learning Anti-Bacterial Agents Retrospective Studies
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Interpretable prognostic modeling for long-term survival of Type A aortic dissection patients using support vector machine algorithm.

European journal of medical research Apr 15, 2025
OBJECTIVES: This study aims to develop a reliable and interpretable predictive model for long-term survival in Type A aortic dissection (TAAD) patients, utilizing machine learning (ML) algorithms.
Humans Machine Learning Algorithms Prognosis Middle Aged Retrospective Studies Support Vector Machine Female Aortic Dissection Aged Male
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A deep-learning system integrating electrocardiograms and laboratory indicators for diagnosing acute aortic dissection and acute myocardial infarction.

International journal of cardiology Jan 27, 2025
BACKGROUND: Acute Stanford Type A aortic dissection (AAD-type A) and acute myocardial infarction (AMI) present with similar symptoms but require distinct treatments. Efficient differentiation is critical due to limited access to radiological equipmen...
Prospective Studies Female Aged Male Middle Aged Deep Learning Electrocardiography Myocardial Infarction Humans Aortic Dissection
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Establishment of a nomogram model based on immune-related genes using machine learning for aortic dissection diagnosis and immunomodulation assessment.

International journal of medical sciences Jan 21, 2025
The clinical manifestation of aortic dissection (AD) is complex and varied, making early diagnosis crucial for patient survival. This study aimed to identify immune-related markers to establish a nomogram model for AD diagnosis. Three datasets from G...
Tissue Inhibitor of Metalloproteinase-1 Serum Amyloid P-Component Chemokine CXCL1 Databases, Genetic C-Reactive Protein Aortic Dissection Immunomodulation Gene Expression Profiling Protein Interaction Maps Humans Gene Regulatory Networks Machine Learning Nomograms Male
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Deep learning-aided diagnosis of acute abdominal aortic dissection by ultrasound images.

Emergency radiology Jan 17, 2025
PURPOSE: Acute abdominal aortic dissection (AD) is a serious disease. Early detection based on ultrasound (US) can improve the prognosis of AD, especially in emergency settings. We explored the ability of deep learning (DL) to diagnose abdominal AD i...
Aortic Aneurysm, Abdominal Acute Disease Aortic Dissection Dissection, Abdominal Aorta Male Middle Aged Deep Learning Ultrasonography Female Aged Adult Sensitivity and Specificity Humans Retrospective Studies
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Can ChatGPT 4.0 Diagnose Acute Aortic Dissection? Integrating Artificial Intelligence into Medical Diagnostics.

The American journal of cardiology Jan 16, 2025
Acute aortic dissection (AD) is a critical condition characterized by high mortality and frequent misdiagnoses, primarily due to symptom overlap with other medical pathologies. This study explores the diagnostic utility of ChatGPT 4.0, an artificial ...
Middle Aged Aged Aortic Aneurysm Aortic Dissection Aged, 80 and over Humans Generative Artificial Intelligence Aortic Aneurysm, Thoracic Artificial Intelligence Adult Diagnosis, Differential Female Acute Disease Male
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Novel anoikis-related diagnostic biomarkers for aortic dissection based on machine learning.

Scientific reports Dec 28, 2024
Aortic dissection (AD) is one of the most dangerous diseases of the cardiovascular system, which is characterized by acute onset and poor prognosis, while the pathogenesis of AD is still unclear and may affect or even delay the diagnosis of AD. Ancho...
Tumor Suppressor Protein p53 Aortic Dissection Tubulin Gene Ontology Humans Anoikis Machine Learning Biomarkers ROC Curve Computational Biology
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