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» Authors » Bas A J M de Mol

Bas A J M de Mol

Explore the profile of Bas A J M de Mol including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 129
Citations 1721
Followers 0
Related Specialties
Cardiology & Vascular Diseases
General Surgery
Pulmonary Medicine
Top 10 Co-Authors
Jose P S Henriques
Petr Symersky
Paul A M van Leeuwen
Karel T Koch
Ricardo P J Budde
Jan J Piek
Jan Baan Jr
Marije M Vis
Lenny M W van Venrooij
Berto J Bouma
Published In
Eur J Cardiothorac Surg
Ned Tijdschr Geneeskd
J Thorac Cardiovasc Surg
Ann Thorac Surg
Eur Radiol
Affiliations
Soon will be listed here.
Recent Articles
1.
Balancing Scaffold Degradation and Neo-Tissue Formation in Tissue Engineered Vascular Grafts
Uiterwijk M, Coolen B, van Rijswijk J, Sontjens S, van Houtem M, Szymczyk W, et al.
Tissue Eng Part A . 2024 Feb; 30(15-16):421-436. PMID: 38420632
An essential aspect of cardiovascular tissue engineering (TE) is to ensure balance between scaffold degradation and neo-tissue formation. We evaluated the rate of degradation and neo-tissue formation of three electrospun...
2.
Temporal validation of 30-day mortality prediction models for transcatheter aortic valve implantation using statistical process control - An observational study in a national population
Lopes R, Yordanov T, Ravelli A, Houterman S, Vis M, de Mol B, et al.
Heliyon . 2023 Jul; 9(6):e17139. PMID: 37484279
Background: Various mortality prediction models for Transcatheter Aortic Valve Implantation (TAVI) have been developed in the past years. The effect of time on the performance of such models, however, is...
3.
Outpatient treatment of worsening heart failure with intravenous diuretics: first results from a multicentre 2-year experience
Wierda E, van Maarschalkerwaart W, van Seumeren E, Dickhoff C, Montanus I, de Boer D, et al.
ESC Heart Fail . 2022 Nov; 10(1):594-600. PMID: 36377206
Aims: The aim of this study is to examine the safety and efficacy of outpatient treatment of worsening heart failure (WHF) with intravenous diuretics. Methods And Results: This is a...
4.
Development and validation of a prediction model for early mortality after transcatheter aortic valve implantation (TAVI) based on the Netherlands Heart Registration (NHR): The TAVI-NHR risk model
Al-Farra H, Ravelli A, Henriques J, Houterman S, de Mol B, Abu-Hanna A
Catheter Cardiovasc Interv . 2022 Sep; 100(5):879-889. PMID: 36069120
Background: The currently available mortality prediction models (MPM) have suboptimal performance when predicting early mortality (30-days) following transcatheter aortic valve implantation (TAVI) on various external populations. We developed and validated...
5.
Local and Distributed Machine Learning for Inter-hospital Data Utilization: An Application for TAVI Outcome Prediction
Lopes R, Mamprin M, Zelis J, Tonino P, van Mourik M, Vis M, et al.
Front Cardiovasc Med . 2021 Dec; 8:787246. PMID: 34869698
Machine learning models have been developed for numerous medical prognostic purposes. These models are commonly developed using data from single centers or regional registries. Including data from multiple centers improves...
6.
Application of local gentamicin in the treatment of deep sternal wound infection: a randomized controlled trial
Vos R, van Putte B, de Mol B, Hoogewerf M, Mandigers T, Kloppenburg G
Eur J Cardiothorac Surg . 2021 Dec; 61(5):1135-1141. PMID: 34849690
Objectives: In patients with deep sternal wound infection (DSWI), primary closure of the sternal bone over high negative pressure Redon drains has shown to be a safe and feasible treatment...
7.
Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques
Baalman S, Lopes R, Ramos L, Neefs J, Driessen A, van Boven W, et al.
Diagnostics (Basel) . 2021 Oct; 11(10). PMID: 34679485
Thoracoscopic surgical ablation (SA) for atrial fibrillation (AF) has shown to be an effective treatment to restore sinus rhythm in patients with advanced AF. Identifying patients who will not benefit...
8.
Machine Learning for Predicting Mortality in Transcatheter Aortic Valve Implantation: An Inter-Center Cross Validation Study
Mamprin M, Lopes R, Zelis J, Tonino P, van Mourik M, Vis M, et al.
J Cardiovasc Dev Dis . 2021 Jul; 8(6). PMID: 34199892
Current prognostic risk scores for transcatheter aortic valve implantation (TAVI) do not benefit yet from modern machine learning techniques, which can improve risk stratification of one-year mortality of patients before...
9.
Improving electrocardiogram-based detection of rare genetic heart disease using transfer learning: An application to phospholamban p.Arg14del mutation carriers
Lopes R, Bleijendaal H, Ramos L, Verstraelen T, Amin A, Wilde A, et al.
Comput Biol Med . 2021 Feb; 131:104262. PMID: 33607378
The pathogenic mutation p.Arg14del in the gene encoding Phospholamban (PLN) is known to cause cardiomyopathy and leads to increased risk of sudden cardiac death. Automatic tools might improve the detection...
10.
Update and, internal and temporal-validation of the FRANCE-2 and ACC-TAVI early-mortality prediction models for Transcatheter Aortic Valve Implantation (TAVI) using data from the Netherlands heart registration (NHR)
Al-Farra H, de Mol B, Ravelli A, Ter Burg W, Houterman S, Henriques J, et al.
Int J Cardiol Heart Vasc . 2021 Feb; 32:100716. PMID: 33537406
Background: The predictive performance of the models FRANCE-2 and ACC-TAVI for early-mortality after Transcatheter Aortic Valve Implantation (TAVI) can decline over time and can be enhanced by updating them on...