Arjan Sammani
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View article: DCM-PROGRESS: predicting end-stage heart failure in non-ischemic dilated cardiomyopathy patients
DCM-PROGRESS: predicting end-stage heart failure in non-ischemic dilated cardiomyopathy patients Open
Aims Patients with non-ischemic dilated cardiomyopathy (DCM) are at considerable risk for end-stage heart failure (HF), requiring close monitoring to identify early signs of disease. We aimed to develop a model to predict the 5-years risk …
View article: Genetic Evaluation of A Nation-Wide Dutch Pediatric DCM Cohort: The Use of Genetic Testing in Risk Stratification
Genetic Evaluation of A Nation-Wide Dutch Pediatric DCM Cohort: The Use of Genetic Testing in Risk Stratification Open
Background: This study aimed to describe the current practice and results of genetic evaluation in Dutch children with dilated cardiomyopathy and to evaluate genotype-phenotype correlations that may guide prognosis. Methods: We performed a…
View article: Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders
Improving explainability of deep neural network-based electrocardiogram interpretation using variational auto-encoders Open
Aims Deep neural networks (DNNs) perform excellently in interpreting electrocardiograms (ECGs), both for conventional ECG interpretation and for novel applications such as detection of reduced ejection fraction (EF). Despite these promisin…
View article: Interatrial Block Predicts Life‐Threatening Arrhythmias in Dilated Cardiomyopathy
Interatrial Block Predicts Life‐Threatening Arrhythmias in Dilated Cardiomyopathy Open
Background Interatrial block (IAB) has been associated with supraventricular arrhythmias and stroke, and even with sudden cardiac death in the general population. Whether IAB is associated with life‐threatening arrhythmias (LTA) and sudden…
View article: Candidate Plasma Biomarkers to Detect Anthracycline‐Related Cardiomyopathy in Childhood Cancer Survivors: A Case Control Study in the Dutch Childhood Cancer Survivor Study
Candidate Plasma Biomarkers to Detect Anthracycline‐Related Cardiomyopathy in Childhood Cancer Survivors: A Case Control Study in the Dutch Childhood Cancer Survivor Study Open
Background Plasma biomarkers may aid in the detection of anthracycline‐related cardiomyopathy (ACMP). However, the currently available biomarkers have limited diagnostic value in long‐term childhood cancer survivors. This study sought to i…
View article: Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks
Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks Open
Aims While electrocardiogram (ECG) characteristics have been associated with life-threatening ventricular arrhythmias (LTVA) in dilated cardiomyopathy (DCM), they typically rely on human-derived parameters. Deep neural networks (DNNs) can …
View article: Automatic Identification of Patients With Unexplained Left Ventricular Hypertrophy in Electronic Health Record Data to Improve Targeted Treatment and Family Screening
Automatic Identification of Patients With Unexplained Left Ventricular Hypertrophy in Electronic Health Record Data to Improve Targeted Treatment and Family Screening Open
Background Unexplained Left Ventricular Hypertrophy (ULVH) may be caused by genetic and non-genetic etiologies (e.g., sarcomere variants, cardiac amyloid, or Anderson-Fabry's disease). Identification of ULVH patients allows for early targe…
View article: Inherently explainable deep neural network-based interpretation of electrocardiograms using variational auto-encoders
Inherently explainable deep neural network-based interpretation of electrocardiograms using variational auto-encoders Open
Background Deep neural networks (DNNs) show excellent performance in interpreting electrocardiograms (ECGs), both for conventional ECG interpretation and for novel applications such as detection of reduced ejection fraction and prediction …
View article: Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks
Automatic multilabel detection of ICD10 codes in Dutch cardiology discharge letters using neural networks Open
View article: Diagnosis and Risk Prediction of Dilated Cardiomyopathy in the Era of Big Data and Genomics
Diagnosis and Risk Prediction of Dilated Cardiomyopathy in the Era of Big Data and Genomics Open
Dilated cardiomyopathy (DCM) is a leading cause of heart failure and life-threatening ventricular arrhythmias (LTVA). Work-up and risk stratification of DCM is clinically challenging, as there is great heterogeneity in phenotype and genoty…
View article: Text-mining in electronic healthcare records can be used as efficient tool for screening and data collection in cardiovascular trials: a multicenter validation study
Text-mining in electronic healthcare records can be used as efficient tool for screening and data collection in cardiovascular trials: a multicenter validation study Open
Automatically extracting data from EHRs using text-mining can be used to identify trial participants and to collect baseline information.
View article: Differences between familial and sporadic dilated cardiomyopathy: ESC EORP Cardiomyopathy & Myocarditis registry
Differences between familial and sporadic dilated cardiomyopathy: ESC EORP Cardiomyopathy & Myocarditis registry Open
Aims Dilated cardiomyopathy (DCM) is a complex disease where genetics interplay with extrinsic factors. This study aims to compare the phenotype, management, and outcome of familial DCM (FDCM) and non‐familial (sporadic) DCM (SDCM) across …
View article: Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology
Big Data and Artificial Intelligence: Opportunities and Threats in Electrophysiology Open
The combination of big data and artificial intelligence (AI) is having an increasing impact on the field of electrophysiology. Algorithms are created to improve the automated diagnosis of clinical ECGs or ambulatory rhythm devices. Further…
View article: ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history
ETM: Enrichment by topic modeling for automated clinical sentence classification to detect patients’ disease history Open
Given the rapid rate at which text data are being digitally gathered in the medical domain, there is growing need for automated tools that can analyze clinical notes and classify their sentences in electronic health records (EHRs). This st…
View article: Predicting sustained ventricular arrhythmias in dilated cardiomyopathy: a meta‐analysis and systematic review
Predicting sustained ventricular arrhythmias in dilated cardiomyopathy: a meta‐analysis and systematic review Open
Aims Patients with non‐ischaemic dilated cardiomyopathy (DCM) are at increased risk of sudden cardiac death. Identification of patients that may benefit from implantable cardioverter‐defibrillator implantation remains challenging. In this …
View article: Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters
Automatic ICD-10 Classification of Diseases from Dutch Discharge Letters Open
The international classification of diseases (ICD) is a widely used tool to describe patient diagnoses. At University Medical Center Utrecht (UMCU), for example, trained medical coders translate information from hospital discharge letters …
View article: SALTClass: classifying clinical short notes using background knowledge from unlabeled data
SALTClass: classifying clinical short notes using background knowledge from unlabeled data Open
Background With the increasing use of unstructured text in electronic health records, extracting useful related information has become a necessity. Text classification can be applied to extract patients’ medical history from clinical notes…
View article: UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking
UNRAVEL: big data analytics research data platform to improve care of patients with cardiomyopathies using routine electronic health records and standardised biobanking Open
View article: Dilated Cardiomyopathy Due to BLC2-Associated Athanogene 3 (BAG3) Mutations
Dilated Cardiomyopathy Due to BLC2-Associated Athanogene 3 (BAG3) Mutations Open
View article: P71Targeted resequencing of coding and cardiac non-coding regulatory regions related to genes implicated in cardiomyopathy
P71Targeted resequencing of coding and cardiac non-coding regulatory regions related to genes implicated in cardiomyopathy Open
View article: Thirty years of heart transplantation at the University Medical Centre Utrecht
Thirty years of heart transplantation at the University Medical Centre Utrecht Open
View article: A systematic analysis of genetic dilated cardiomyopathy reveals numerous ubiquitously expressed and muscle‐specific genes
A systematic analysis of genetic dilated cardiomyopathy reveals numerous ubiquitously expressed and muscle‐specific genes Open
Aims Despite considerable progress being made in genetic diagnostics for dilated cardiomyopathy ( DCM ) using panels of the most prevalent genes, the cause remains unsolved in a substantial percentage of patients. We hypothesize that sever…