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Models and Methods for Computational Cardiology: 2nd Edition
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Models and Methods for Computational Cardiology: 2nd Edition

A special issue of Journal of Cardiovascular Development and Disease (ISSN 2308-3425). This special issue belongs to the section "Basic and Translational Cardiovascular Research".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 1635

Image courtesy of Nina Kraus

Special Issue Editors

Prof. Dr. Richard L. Goodwin

E-Mail Website
Guest Editor
Biomedical Engineering Department, College of Engineering and Computing, University of South Carolina, Greenville, SC 29605, USA
Interests: cardiovascular development; extracellular matrix development; the interplay between genomic programing and the mechanical environment during development and disease
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sandra Rugonyi

E-Mail Website
Guest Editor
Department of Biomedical Engineering, School of Medicine, Oregon Health Sciences University, Portland, OR 97239, USA
Interests: cardiovascular development; hemodynamics; heart function; computational fluid dynamics (CFD); mechanotransduction
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Journal of Cardiovascular Development and Disease is planning to create a Special Issue that focuses on computational cardiology. In this Special Issue, we will highlight some of the recent developments advancing our understanding and diagnosis of cardiovascular disease. The enhancement of imaging modalities facilitated the resolution of disease initiation and progression, which until recently was only available in humans post mortem. Advances in cardiovascular computational modeling and cardiovascular informatics, together with these novel imaging modalities, engender new opportunities for earlier interventions and better outcomes in cardiovascular disease, among the most prevalent causes of human mortality. In this Special Issue, entitled “Models and Methods for Computational Cardiology”, we welcome you to contribute a research paper or review article addressing any aspect of this topic, including novel basic science or clinical approaches that better define the mechanisms of cardiovascular development and pathology. Novel models for pediatric and adult heart disease, including those that seek to improve the outcomes of surgical interventions, are also relevant topics for this Special Issue. This is an excellent opportunity for clinical and basic sciences trainees in your group to contribute to the field.

Prof. Dr. Richard L. Goodwin
Prof. Dr. Sandra Rugonyi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Cardiovascular Development and Disease is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • cardiovascular development
  • congenital heart disease
  • cardiovascular imaging
  • patient-specific cardiovascular modeling
  • cardiovascular growth and remodeling
  • cardiovascular computational fluid dynamics
  • cardiovascular flow tissue interaction
  • hemodynamics
  • mechanotransduction

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Related Special Issue

Published Papers (3 papers)

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Research

9 pages, 516 KiB  
Article
Beyond the Echo: Is Comprehensive Vascular Exploration Valuable in Cases of Non-Syndromic Thoracic Aortic Aneurysms or Bicuspid Aortic Valve?
by Austin Saugstad, Srekar Ravi, George Bcharah, Christine E. Firth, Hend Bcharah, Hussein Abdul Nabi, Hoang Nhat Pham, Ramzi Ibrahim, Sant J. Kumar, Mahmoud Abdelnabi, Linnea M. Baudhuin, Yuxiang Wang, Mayowa A. Osundiji and Fadi Shamoun
J. Cardiovasc. Dev. Dis. 2025, 12(5), 167; https://doi.org/10.3390/jcdd12050167 - 24 Apr 2025
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Abstract
Bicuspid aortic valve (BAV) and thoracic aortic aneurysms and dissections (TAAD) are recognized in syndromic connective tissue diseases (CTD), but most cases occur sporadically. The extent to which non-syndromic BAV or TAAD predisposes to additional arteriopathies, particularly in younger individuals, remains unclear. We [...] Read more.
Bicuspid aortic valve (BAV) and thoracic aortic aneurysms and dissections (TAAD) are recognized in syndromic connective tissue diseases (CTD), but most cases occur sporadically. The extent to which non-syndromic BAV or TAAD predisposes to additional arteriopathies, particularly in younger individuals, remains unclear. We retrospectively analyzed 1438 patients (mean age = 48.0, 67.7% female), excluding those with CTDs. Participants were ≤60 years old and categorized by the presence of BAV and/or TAAD. We examined co-existing arterial pathologies, including fibromuscular dysplasia, spontaneous coronary artery dissection, abdominal aortic aneurysms (AAA), mesenteric, peripheral extremity, and carotid/cerebral arteriopathies. Overall, 44.6% had either BAV or TAAD, and 27.2% had multiple arteriopathies. While vascular diseases were frequently noted, odds ratios demonstrated no significantly increased risk of extra-aortic arteriopathies in the BAV or TAAD cohorts. AAA exhibited a non-significant trend toward higher prevalence in TAAD patients. These findings support current guidelines recommending targeted imaging (transthoracic echocardiography of the aortic root and ascending aorta) over comprehensive “head-to-pelvis” screening for non-syndromic BAV or TAAD patients without additional risk factors. Ongoing genetic analyses may elucidate whether particular variants predispose to multi-site aneurysms or dissections. Consequently, targeted surveillance remains appropriate, with broader imaging reserved for patients with genetic or clinical indicators of higher risk. Full article
(This article belongs to the Special Issue Models and Methods for Computational Cardiology: 2nd Edition)
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14 pages, 1278 KiB  
Article
Impact of Simulated Vascular Aging and Heart Rate on Myocardial Efficiency: A Tale of Two Paradigms from In Silico Modelling
by Lawrence J. Mulligan, Julian Thrash, Ludmil Mitrev, Daniel Ewert and Jeffrey C. Hill
J. Cardiovasc. Dev. Dis. 2025, 12(5), 163; https://doi.org/10.3390/jcdd12050163 - 22 Apr 2025
Viewed by 144
Abstract
Introduction: Vascular aging is associated with a loss of aortic compliance (CA), which results in increased left ventricular pressure–volume area (PVA), stroke work (SW) and myocardial oxygen consumption (MVO2). Myocardial efficiency (MyoEff) is derived from the PVA and MVO [...] Read more.
Introduction: Vascular aging is associated with a loss of aortic compliance (CA), which results in increased left ventricular pressure–volume area (PVA), stroke work (SW) and myocardial oxygen consumption (MVO2). Myocardial efficiency (MyoEff) is derived from the PVA and MVO2 construct, which includes potential energy (PE). However, the SW/MVO2 ratio does not include PE and provides a more accurate physiologic measure. Methods: We used a modified computational model (CM) to assess PVA and SW and calculate MVO2 using a pressure-work index (e MVO2), to derive MyoEff–PVA and MyoEff–SW metrics. Phase I evaluated five levels of human CA from normal (N) to stiff (S) at 80 bpm, and Phase II evaluated two levels of CA (N and S) at three heart rates (60, 100, and 140 bpm). Results: During Phase I, MyoEff–PVA increased from 20.7 to 31.2%, and MyoEff–SW increased from 14.8 to 18.9%. In Phase II, during the N setting coupled with increases in the heart rate, the MyoEff–PVA decreased from 29.4 to 14.8 to 9.5%; the MyoEff–SW also decreased from 22.5 to 10.3 to 5.9%. As expected, during the S setting, MyoEff–PVA decreased from 45.5 to 22.9 to 14.8; a similar effect occurred with the MyoEff–SW, demonstrating a decrease from 29.9 to 13.9 to 7.9%, respectively. Conclusions: The CM provided insights into a simple and clinically relevant calculation for assessing MyoEff. The agreement on the CM metrics aligns with studies conducted previously in the clinical setting. Full article
(This article belongs to the Special Issue Models and Methods for Computational Cardiology: 2nd Edition)
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13 pages, 1533 KiB  
Article
A New Risk Prediction Model for the Assessment of Myocardial Injury in Elderly Patients Undergoing Non-Elective Surgery
by Vedat Cicek, Mert Babaoglu, Faysal Saylik, Samet Yavuz, Ahmet Furkan Mazlum, Mahmut Salih Genc, Hatice Altinisik, Mustafa Oguz, Berke Cenktug Korucu, Mert Ilker Hayiroglu, Tufan Cinar and Ulas Bagci
J. Cardiovasc. Dev. Dis. 2025, 12(1), 6; https://doi.org/10.3390/jcdd12010006 - 26 Dec 2024
Viewed by 890
Abstract
Background: Currently, recommended pre-operative risk assessment models including the revised cardiac risk index (RCRI) are not very effective in predicting postoperative myocardial damage after non-elective surgery, especially for elderly patients. Aims: This study aimed to create a new risk prediction model to assess [...] Read more.
Background: Currently, recommended pre-operative risk assessment models including the revised cardiac risk index (RCRI) are not very effective in predicting postoperative myocardial damage after non-elective surgery, especially for elderly patients. Aims: This study aimed to create a new risk prediction model to assess myocardial injury after non-cardiac surgery (MINS) in elderly patients and compare it with the RCRI, a well-known pre-operative risk prediction model. Materials and Methods: This retrospective study included 370 elderly patients who were over 65 years of age and had non-elective surgery in a tertiary hospital. Each patient underwent detailed physical evaluations before the surgery. The study cohort was divided into two groups: patients who had MINS and those who did not. Results: In total, 13% (48 out of 370 patients) of the patients developed MINS. Multivariable analysis revealed that creatinine, lymphocyte, aortic regurgitation (moderate-severe), stroke, hemoglobin, ejection fraction, and D-dimer were independent determinants of MINS. By using these parameters, a model called “CLASHED” was developed to predict postoperative MINS. The ROC analysis comparison demonstrated that the new risk prediction model was significantly superior to the RCRI in predicting MINS in elderly patients undergoing non-elective surgery (AUC: 0.788 vs. AUC: 0.611, p < 0.05). Conclusions: Our study shows that the new risk preoperative model successfully predicts MINS in elderly patients undergoing non-elective surgery. In addition, this new model is found to be superior to the RCRI in predicting MINS. Full article
(This article belongs to the Special Issue Models and Methods for Computational Cardiology: 2nd Edition)
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