Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.4
3.9
Journals
JCM
Special Issues
Personalized Medicine and Treatment of Acute Coronary Syndrome
share announcement

Personalized Medicine and Treatment of Acute Coronary Syndrome

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Cardiology".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 627

Special Issue Editor

Prof. Dr. Lukasz Szarpak

E-Mail
Guest Editor
1. Henry JN Taub Department of Emergency Medicine, Baylor College of Medicine, Houston, TX 77030, USA
2. Institute of Outcomes Research, Maria Sklodowska-Curie Medical Academy in Warsaw, 00-136 Warsaw, Poland
3. Research Unit, Maria Sklodowska-Curie Bialystok Oncology Center, 15-027 Bialystok, Poland
Interests: emergency medicine; critical care; anesthesiology; research outcomes; epidemiology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue delves into the realm of personalized medicine and its application in the treatment of acute coronary syndrome (ACS). ACS encompasses a spectrum of cardiovascular conditions, including unstable angina and myocardial infarction, which require prompt and tailored medical interventions. The aim of this Special Issue is to explore the latest advancements in personalized medicine for ACS, with a specific focus on clinical aspects. It covers topics such as risk stratification tools, diagnostic modalities, individualized treatment approaches and long-term management strategies. By highlighting the role of personalized medicine in ACS, this Special Issue aims to enhance clinical decision-making, optimize patient outcomes and improve overall care in the field of cardiology.

Prof. Dr. Lukasz Szarpak
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. Journal of Clinical Medicine 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

  • personalized medicine
  • acute coronary syndrome
  • unstable angina
  • myocardial infarction
  • risk stratification
  • diagnostic modalities
  • individualized treatment
  • long-term management
  • clinical decision-making
  • cardiology care

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

13 pages, 3528 KiB  
Article
Predictors of Revascularization in Patients with Unstable Angina
by Jan Budzianowski, Wojciech Faron, Janusz Rzeźniczak, Marek Słomczyński, Dariusz Hiczkiewicz, Jacek Olejniczak, Jarosław Hiczkiewicz and Paweł Burchardt
J. Clin. Med. 2024, 13(4), 1096; https://doi.org/10.3390/jcm13041096 - 15 Feb 2024
Viewed by 491
Abstract
Background: The factors that determine the necessity of coronary artery revascularization in patients with unstable angina (UA) have been supported by limited data. Therefore, this study aimed to identify the predictors of revascularization in patients with UA. Methods: The study included the recorded [...] Read more.
Background: The factors that determine the necessity of coronary artery revascularization in patients with unstable angina (UA) have been supported by limited data. Therefore, this study aimed to identify the predictors of revascularization in patients with UA. Methods: The study included the recorded data of 3668 patients with UA who underwent cardiac catheterization (age 66 ± 9.2, men 70%); 2615 of them (71%) underwent revascularization (percutaneous transluminal coronary angioplasty (PTCA), coronary artery bypass graft (CABG), or hybrid revascularization. The remaining 1053 patients (29%) had no significant coronary stenosis and were regarded as controls. Multivariable logistic regression analysis was performed to separate the predictors of revascularization. Results: It was found that severe angina (OR 2.7, 95%CI 1.9–3.7), male gender (OR 1.4, 95%CI 1.1–1.7), and hyperlipidemia were the predictors of revascularization. It was also noted that intraventricular conduction disorders including left and right bundle branch blocks and a history of previous revascularization and myocardial infarction were associated with lower odds of revascularization. Conclusion: Overall, however, the predictive value of the studied factors proved to be poor and may still point to the multifactorial nature of significant coronary artery stenosis and the need for revascularization in patients with UA. Full article
(This article belongs to the Special Issue Personalized Medicine and Treatment of Acute Coronary Syndrome)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop