Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




HDL Subclasses Linked to Mortality in Heart Failure Patients

By LabMedica International staff writers
Posted on 11 Feb 2019
Heart failure (HF) is a frequent cause of morbidity and mortality worldwide and is defined by the as an abnormality of the cardiac structure and function, resulting in a diminished ability of the heart to maintain optimal perfusion of metabolizing tissues.

The link between high-density lipoproteins (HDL) subclasses and the prognosis of cardiovascular diseases remains controversial. More...
It is important to note that HDL particles comprise two major subclasses, namely large buoyant HDL2 particles and smaller, denser HDL3 particles. Accordingly, quantity of the total HDL-C is dominated by the contribution of the larger, cholesterol-rich HDL2.

Scientists at University of Zagreb School of Medicine (Zagreb, Croatia) and their colleagues evaluated the prognostic value of the HDL subclasses 3 and 2 cholesterol (HDL3-C, HDL2-C) as well as of total HDL-C for 3-month mortality in acute heart failure (AHF) patients. Serum samples of 132 patients [65 (49.2%) were female and median and range for age were 77.3 (45.5–92.4) years], were available for the analyses. Of these, 35 (26.5%) died within three months of onset of AHF.

The collection of the blood samples, the standard laboratory methods and measurements of small, large and total HDL-particles (HDL-P) have been described in previous reports on this AHF cohort. The levels of total HDL cholesterol (HDL-C) and HDL3-C were measured using detergent-based homogeneous assays from Denka Seiken Co., Ltd. on an Olympus AU680 automated analyzer. HDL2-C was estimated by subtracting HDL3-C from total HDL-C.

The team reported that the median and range for serum levels of HDL3-C, HDL2-C, and total HDL-C were 0.49 (0.23–0.85) mmol/L, 0.62 (0.19–1.67) mmol/L and 1.13 (0.42–2.46) mmol/L, respectively. Univariate logistic regression analyses revealed a significant inverse association of HDL3-C (odds ratio (OR) 0.46 per 1-SD increase, 95% confidence interval (CI) 0.27–0.72,) with 3-month mortality, whereas concentrations of total HDL-C and HDL2-C showed no significant association. After adjustment for various laboratory and clinical parameters known to be associated with mortality in heart failure patients, HDL3-C concentrations remained significantly associated with 3-month mortality (OR 0.34 per 1-SD increase, 95% CI 0.15–0.74).

The authors concluded that low admission serum levels of HDL3-C are associated with increased 3-month mortality in AHF patients, whereas total HDL-C and HDL2-C showed no association. HDL3-C might thus be useful as a prognostic parameter in AHF. The study was published in the March 2019 issue if the journal Clinica Chimica Acta.

Related Links:
University of Zagreb School of Medicine


Platinum Member
Automated Coagulation Analyzer
Hemolumi H6
Gold Member
Pre- Eclampsia Control
Acusera Pre-Eclampsia Control
Clinical Informatics Platform
CLARION™
New
Gold Member
Blood-Based Protein Biomarker Solution for Alzheimer's Disease
BG-DTi2000.
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Molecular Diagnostics

view channel
Image: A research team led by Prof. Hsing I-Ming (center), Professor of the Department of Chemical and Biological Engineering at HKUST, has developed TEMPO, a thermodynamically programmed one-pot CRISPR platform for rapid, point-of-care nucleic acid testing. Mr. Wu Xiaolong (third right) and Ms. Li Yanan (first left), PhD students from the Department of Chemical and Biological Engineering, are the co-first authors of this study. (Photo courtesy of HKUST)

Single-Tube CRISPR Test Detects Pathogens and Genetic Variants in 30 Minutes

Rapid, accurate detection of infectious agents and single-nucleotide variants remains difficult to deliver outside centralized laboratories. Although multi-step nucleic acid workflows are sensitive, they... Read more

Microbiology

view channel
Image Credit: Adobe Stock

Gut Microbiome Classifier Improves Colorectal Cancer Risk Stratification

Colorectal cancer remains a leading cause of cancer mortality, and current noninvasive screening methods still miss many precancerous lesions. Clinicians therefore need tools that improve risk stratification... Read more

Pathology

view channel
Image Credit: Adobe Stock

New Journal Addresses Evolving Needs in Clinical and Translational Pathology

Clinical pathology underpins diagnosis and therapy selection across oncology and other major diseases, but the field is rapidly evolving as new technologies reshape how disease is studied and classified.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.