Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.2
2.9
Journals
JCM
Special Issues
Clinical Updates on Dyslipidemia
jcm-logo
Submit to Special Issue Submit Abstract to Special Issue Review for JCM Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Clinical Updates on Dyslipidemia

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

Deadline for manuscript submissions: 31 January 2026 | Viewed by 452

Special Issue Editor

Prof. Dr. Nathan Wong

E-Mail Website
Guest Editor
Division of Cardiology, University of California Irvine, Irvine, CA 92697, USA
Interests: preventive cardiology; cardiovascular epidemiology; dyslipidemia; diabetes; subclinical atherosclerosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Dyslipidemia, especially dyslipidemia featuring elevated LDL-C, low levels of HDL-C, and elevated triglycerides with elevated levels of lipoprotein(a), is a well-established risk factor for atherosclerotic cardiovascular disease (ASCVD). Clinical trials conducted over the past four decades have established the role of LDL-C-lowering therapy in reducing the risk of ASCVD in a wide range of patient populations, with statins being the most common therapy and ezetimibe, PCSK9 inhibitors, and bempedoic acid being explored more recently. Icosapent ethyl also leads to improved ASCVD outcomes. Cardiovascular outcome trials involving the use of inclisiran, obicetrapib, or novel RNA-targeted agents to lower lipoprotein(a) levels are ongoing. However, despite international guidelines and a wide range of therapies for lowering LDL-C to reduce the risk of ASCVD, many people do not undergo lipid testing and are inadequately treated for LDL-C, which makes this an important gap in care. Further efforts are needed to address this clinical inertia if we are to improve ASCVD outcomes, particularly in our highest risk patients.

This Special Issue on dyslipidemia and cardiovascular disease will publish original research, reviews, and commentaries that aim to advance our knowledge on the mechanisms, epidemiology, and existing and newer therapeutic targets for dyslipidemia and cardiovascular disease.

Prof. Dr. Nathan Wong
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

  • dyslipidemia
  • cardiovascular disease
  • prevention
  • treatment
  • risk factors

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

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

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

18 pages, 3698 KB  
Article
A Temporal Validation Study of Diagnostic Prediction Models for the Screening of Elevated Low-Density and Non-High-Density Lipoprotein Cholesterol
by Wuttipat Kiratipaisarl, Vithawat Surawattanasakul, Wachiranun Sirikul and Phichayut Phinyo
J. Clin. Med. 2025, 14(21), 7617; https://doi.org/10.3390/jcm14217617 - 27 Oct 2025
Viewed by 315
Abstract
Background/Objectives: Limited accessibility to hypercholesterolemia diagnosis hinders the primary prevention of cardiovascular disease. Therefore, we conducted a prospective, temporal validation study of two diagnostic prediction models, targeting endpoints of elevated low-density lipoprotein cholesterol (LDL-C, ≥160 mg/dL) and non-high-density lipoprotein cholesterol (non-HDL-C, ≥160 [...] Read more.
Background/Objectives: Limited accessibility to hypercholesterolemia diagnosis hinders the primary prevention of cardiovascular disease. Therefore, we conducted a prospective, temporal validation study of two diagnostic prediction models, targeting endpoints of elevated low-density lipoprotein cholesterol (LDL-C, ≥160 mg/dL) and non-high-density lipoprotein cholesterol (non-HDL-C, ≥160 mg/dL). Methods: We prospectively recruited workers aged 20–40 years from a single-center, university hospital from March to June 2024 (n = 1099). We determined two diagnostic endpoints: elevated LDL-C and non-HDL-C. The predicted probabilities were derived from the binary logistic regression based on gender, metabolic age, and diastolic blood pressure. We assessed three prediction performances: discrimination from area under the receiver-operating characteristic curve (AuROC); calibration slope (C-slope) and calibration-in-the-large (CITL) from the calibration plot; clinical net benefit from decision curve analysis. Recalibration was based on C-slope and CITL, with a socioeconomic subgroup fairness assessment of AuROC, C-slope, and CITL. Results: From 1099 eligible participants, we identified 135 (12.3%) elevated LDL-C and 251 (22.8%) elevated non-HDL-C cases. The LDL-C model had poor discrimination (AuROC 0.59; 95%-CI, 0.56–0.62), miscalibration (C-slope 0.64; 95%-CI, 0.39–0.88 and CITL −0.14; 95%-CI, −0.27–−0.02), and negligible investigation reduction. The non-HDL-C model had fair discrimination (AuROC 0.67; 95%-CI, 0.64–0.69), miscalibration (C-slope 0.71; 95%-CI, 0.59–0.83 and CITL −0.07; 95%-CI, −0.17–0.03), and 20% investigation reduction at prevalence threshold probability. Updated model fairness improved compared to the original models. Conclusions: Temporal validation demonstrated modest replicability for the elevated non-HDL-C model, with a potential limitation in participants with normal BMI but low muscle and high fat mass. Health practitioners may use updated elevated non-HDL-C models as a non-invasive triage strategy in young adults, with threshold probabilities within the positive clinical net benefit ranges. Further external validation studies in a larger and more diverse population are necessary. Full article
(This article belongs to the Special Issue Clinical Updates on Dyslipidemia)
►▼ Show Figures

Graphical abstract

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