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Diagnostics
Special Issues
Pathogenesis, Diagnosis and Prognosis of Cardiovascular Diseases
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Pathogenesis, Diagnosis and Prognosis of Cardiovascular Diseases

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 619

Special Issue Editor

Dr. Cristian Mornos

E-Mail Website
Guest Editor
Department of Cardiology, "Victor Babes" University of Medicine and Pharmacy, 2 Eftimie Murgu Square, 300041 Timisoara, Romania
Interests: heart failure; ischemic coronary disease; advanced echocardiography; cardiac imaging; myocardial dysfunction; clinical significance of basic science; innovative diagnostic tools
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Cardiovascular diseases (CVDs) represent a persistent and growing challenge in global health, remaining a leading cause of morbidity and mortality. To address this issue, a deeper understanding of their pathogenesis, as well as advancements in diagnostic tools and prognostic models, is critical for improving patient outcomes. This Special Issue, titled “Pathogenesis, Diagnosis and Prognosis of Cardiovascular Diseases”, will provide a platform for showcasing the latest research at the intersection of molecular mechanisms, clinical diagnosis, and outcome prediction. This Special Issue will focus on elucidating the biological pathways that underlie the development and progression of CVDs, while also exploring novel diagnostic methods, such as advanced imaging and biomarker discovery, that enhance early detection and intervention. Furthermore, innovative prognostic models and personalized therapeutic strategies will be highlighted, offering insights into the future of cardiovascular disease management.

We encourage the submission of original research articles and reviews that delve into the following topics:

  • Molecular and cellular mechanisms contributing to CVD pathogenesis;
  • Emerging biomarkers and imaging technologies for early and accurate diagnosis;
  • Predictive models for disease progression and individualized treatment;
  • The impact of inflammation, metabolic dysregulation, and genetic factors on cardiovascular outcomes;
  • Therapeutic interventions designed to reduce long-term cardiovascular risk.

This Special Issue will present a comprehensive collection of studies bridging experimental findings with clinical applications, thereby advancing both our theoretical understanding and practical management of cardiovascular diseases. Important, novel, and interesting short communications and interesting images will also be considered. I look forward to receiving your contributions.

Dr. Cristian Mornos
Guest Editor

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. Diagnostics is an international peer-reviewed open access semimonthly 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 2600 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

  • inflammation and genetic factors
  • diagnostic biomarkers
  • advanced cardiac imaging
  • prognostic models
  • cardiometabolic dysfunction
  • personalized therapeutics

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

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Research

18 pages, 2002 KiB  
Article
Analyzing Insights of Super-Response in Cardiac Resynchronization Therapy with Fusion Pacing
by Alexandra-Iulia Lazăr-Höcher, Simina Crișan, Cristina Văcărescu, Samuel Nistor, Adelina Andreea Faur-Grigori, Andreea Cozgarea, Petru Baneu, Liviu Cirin, Laurențiu Brăescu, Larissa Dăniluc, Dan Gaiță, Constantin-Tudor Luca and Dragoș Constantin Cozma
Diagnostics 2025, 15(9), 1118; https://doi.org/10.3390/diagnostics15091118 - 28 Apr 2025
Viewed by 317
Abstract
Background/Objectives: Cardiac resynchronization therapy (CRT) with fusion pacing (“LV only”), also known as fusion-CRT (f-CRT), represents a feasible alternative to cardiac resynchronization therapy (CRT) with biventricular pacing (BiVP), not only in cases of BiVP failure, but also as a primary therapy option [...] Read more.
Background/Objectives: Cardiac resynchronization therapy (CRT) with fusion pacing (“LV only”), also known as fusion-CRT (f-CRT), represents a feasible alternative to cardiac resynchronization therapy (CRT) with biventricular pacing (BiVP), not only in cases of BiVP failure, but also as a primary therapy option due to its potential benefits over traditional CRT. Fusion pacing may be particularly beneficial in selected patients and understanding the structural and functional differences between responders could guide future optimization strategies. This study provides a descriptive comparison between super-responders (SRs) and non-super-responders (NSRs) undergoing fusion-CRT. Methods: Patients with RA/LV-only pacing systems or biventricular CRT systems operating predominantly in LV-only pacing mode due to intrinsic RV conduction were included. A follow-up protocol was conducted for all patients at 6 months and then annually. Data from the most recent follow-up were used for statistical analysis. Super-responders (SRs) were those with substantial reverse remodeling, quantified by a ≥30% reduction in LVESV and a stable LVEF of ≥45% at follow-up. Although SRs were defined based on these reverse remodeling criteria, separate analyses of additional echocardiographic parameters (e.g., left atrial dimensions) were performed to independently assess the broader impact of fusion-CRT on cardiac structure and function. Results: Among 71 patients, 55 were non-super-responders (NSRs) and 16 were super-responders (SRs), with a mean follow-up of 43.2 months. SRs were predominantly female and had smaller left ventricular (LV) dimensions: LVEDd (6.30 cm vs. 6.80 cm, p = 0.02), LVEDV (185 mL vs. 240 mL, p = 0.03), LVESV (132.5 mL vs. 175 mL, p = 0.03), and a higher LVEF (p = 0.03). The follow-up LVEF was positively correlated with changes in LVESV (ρ = 0.557, p < 0.001), but not with NYHA class changes (ρ = 0.184, p = 0.125). Larger baseline LV and left atrial (LA) volumes were associated with a reduced follow-up LVEF (LVESV: ρ = −0.426, p < 0.001; LVEDV: ρ = −0.394, p < 0.001; LAv: ρ = −0.374, p = 0.001). Both groups showed improvement in the NYHA class (p < 0.001, p = 0.007). MR improved significantly in SRs (p = 0.02) and worsened slightly in NSRs (p = 0.13), while TR worsened significantly in the NSRs group (p = 0.03). Conclusions: Our findings highlight key differences in clinical and echocardiographic parameters between SRs and NSRs following fusion-CRT. These observations may contribute to a better understanding of response patterns and inform future prospective studies aiming to optimize patient selection and timing of therapy. Full article
(This article belongs to the Special Issue Pathogenesis, Diagnosis and Prognosis of Cardiovascular Diseases)
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