Advances in the Diagnosis and Management of Cardiovascular Disease

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

Deadline for manuscript submissions: 30 June 2025 | Viewed by 821

Special Issue Editor


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Guest Editor
Department of Internal Medicine and Cardiology, Medical University of Warsaw, 02-005 Warsaw, Poland
Interests: cardiovascular disease

Special Issue Information

Dear Colleagues,

The Special Issue “Advances in the Diagnosis and Management of Cardiovascular Disease” focuses on the latest scientific breakthroughs and technological advancements in diagnosing cardiovascular conditions. This comprehensive collection aims at highlighting the innovative diagnostic tools and techniques that are revolutionizing our ability to detect and assess cardiovascular disease. From non-invasive imaging modalities such as echocardiography and MRI to genetic testing and biomarker analysis, the articles in this Special Issue explore the latest advancements in diagnosing cardiovascular conditions with greater accuracy and precision. These advancements not only enhance our understanding of disease pathogenesis but also aid in early detection and tailored treatment plans. This Special Issue provides a valuable overview of the latest trends and developments in cardiovascular diagnosis, enabling healthcare professionals to stay updated with the latest diagnostic practices and improve patient outcomes.

Dr. Justyna Domienik-Karłowicz
Guest Editor

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Keywords

  • cardiovascular imaging techniques
  • precision medicine in CVD
  • non-invasive diagnostics
  • patient-centered management strategies
  • cardiovascular disease

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Published Papers (1 paper)

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Research

11 pages, 1273 KiB  
Article
Inflammatory Protein Panel: Exploring Diagnostic Insights for Peripheral Artery Disease Diagnosis in a Cross-Sectional Study
by Ben Li, Rakan Nassereldine, Farah Shaikh, Houssam Younes, Batool AbuHalimeh, Abdelrahman Zamzam, Rawand Abdin and Mohammad Qadura
Diagnostics 2024, 14(17), 1847; https://doi.org/10.3390/diagnostics14171847 - 24 Aug 2024
Viewed by 576
Abstract
Cytokine-induced neutrophil chemoattractant 1 (CINC-1), a cluster of differentiation 95 (CD95), fractalkine, and T-cell immunoglobulin and mucin domain 1 (TIM-1) are circulating proteins known to be involved in inflammation. While their roles have been studied in neurological conditions and cardiovascular diseases, their potential [...] Read more.
Cytokine-induced neutrophil chemoattractant 1 (CINC-1), a cluster of differentiation 95 (CD95), fractalkine, and T-cell immunoglobulin and mucin domain 1 (TIM-1) are circulating proteins known to be involved in inflammation. While their roles have been studied in neurological conditions and cardiovascular diseases, their potential as peripheral artery disease (PAD) biomarkers remain unexplored. We conducted a cross-sectional diagnostic study using data from 476 recruited patients (164 without PAD and 312 with PAD). Plasma levels of CINC-1, CD95, fractalkine, and TIM-1 were measured at baseline. A PAD diagnosis was established at recruitment based on clinical exams and investigations, defined as an ankle-brachial index < 0.9 or toe-brachial index < 0.67 with absent/diminished pedal pulses. Using 10-fold cross-validation, we trained a random forest algorithm, incorporating clinical characteristics and biomarkers that showed differential expression in PAD versus non-PAD patients to predict a PAD diagnosis. Among the proteins tested, CINC-1, CD95, and fractalkine were elevated in PAD vs. non-PAD patients, forming a 3-biomarker panel. Our predictive model achieved an AUROC of 0.85 for a PAD diagnosis using clinical features and this 3-biomarker panel. By combining the clinical characteristics with these biomarkers, we developed an accurate predictive model for a PAD diagnosis. This algorithm can assist in PAD screening, risk stratification, and guiding clinical decisions regarding further vascular assessment, referrals, and medical/surgical management to potentially improve patient outcomes. Full article
(This article belongs to the Special Issue Advances in the Diagnosis and Management of Cardiovascular Disease)
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