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High-density lipoprotein subclasses and cardiovascular disease and mortality in type 2 diabetes: analysis from the Hong Kong Diabetes Biobank

Authors :
Qiao Jin
Eric S. H. Lau
Andrea O. Luk
Claudia H. T. Tam
Risa Ozaki
Cadmon K. P. Lim
Hongjiang Wu
Elaine Y. K. Chow
Alice P. S. Kong
Heung Man Lee
Baoqi Fan
Alex C. W. Ng
Guozhi Jiang
Ka Fai Lee
Shing Chung Siu
Grace Hui
Chiu Chi Tsang
Kam Piu Lau
Jenny Y. Leung
Man-wo Tsang
Elaine Y. N. Cheung
Grace Kam
Ip Tim Lau
June K. Li
Vincent T. Yeung
Emmy Lau
Stanley Lo
Samuel Fung
Yuk Lun Cheng
Chun Chung Chow
Weichuan Yu
Stephen K. W. Tsui
Yu Huang
Hui-yao Lan
Cheuk Chun Szeto
Wing Yee So
Alicia J. Jenkins
Juliana C. N. Chan
Ronald C. W. Ma
the Hong Kong Diabetes Biobank Study Group
Source :
Cardiovascular Diabetology, Vol 21, Iss 1, Pp 1-13 (2022)
Publication Year :
2022
Publisher :
BMC, 2022.

Abstract

Abstract Objective High-density lipoproteins (HDL) comprise particles of different size, density and composition and their vasoprotective functions may differ. Diabetes modifies the composition and function of HDL. We assessed associations of HDL size-based subclasses with incident cardiovascular disease (CVD) and mortality and their prognostic utility. Research design and methods HDL subclasses by nuclear magnetic resonance spectroscopy were determined in sera from 1991 fasted adults with type 2 diabetes (T2D) consecutively recruited from March 2014 to February 2015 in Hong Kong. HDL was divided into small, medium, large and very large subclasses. Associations (per SD increment) with outcomes were evaluated using multivariate Cox proportional hazards models. C-statistic, integrated discrimination index (IDI), and categorial and continuous net reclassification improvement (NRI) were used to assess predictive value. Results Over median (IQR) 5.2 (5.0–5.4) years, 125 participants developed incident CVD and 90 participants died. Small HDL particles (HDL-P) were inversely associated with incident CVD [hazard ratio (HR) 0.65 (95% CI 0.52, 0.81)] and all-cause mortality [0.47 (0.38, 0.59)] (false discovery rate

Details

Language :
English
ISSN :
14752840
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Cardiovascular Diabetology
Publication Type :
Academic Journal
Accession number :
edsdoj.336dcac29d4420fbaf4aba48277595d
Document Type :
article
Full Text :
https://doi.org/10.1186/s12933-022-01726-y