Key result
Combined metabolic biomarker model detects subclinical atherosclerosis in young women with ~0.81 AUC.
Why the study?
Cardiovascular disease interventions should begin early, yet most studies have focused on middle-aged or elderly adults because disease prevalence is low in young people, especially women. Data on the association between metabolic risk factors and subclinical atherosclerosis in young asymptomatic women were therefore limited.
Cross-Sectional (n=950)
No
Answers are grounded in this paper and cite their sources.
May support combined biomarkers for subclinical atherosclerosis detection in young women; leaves open prospective validation before clinical use.
Interventions of cardiovascular disease should be implemented in early ages. But most studies were performed in middle aged or elderly adults because of the low prevalence in young, especially for women. We investigate the association between metabolic risk factors and subclinical atherosclerosis in young asymptomatic women adults, using carotid intima-media thickness (CIMT) as a marker of the atherosclerotic process.We performed a cross-sectional study of 950 Chinese young asymptomatic women adults (37.28 ± 5.16 years) who underwent a routine health screening examination. Triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), fasting blood glucose (FBG), homocysteine (HCY), gamma glutamyltransferase (GGT), uric acid, and CIMT were measured.Out of 950 subjects, 16 (1.7%) were detected with increased CIMT. Significant differences existed in the indicators including age, body mass index (BMI), TC, TG, LDL-C, LDL-C/HDL-C, non-HDL-C, and TC/HDL-C. Although TG, LDL-C, non-HDL-C, TC/HDL-C, and TG/HDL-C were the significant indicators when adjusted for age only, age, LDL-C/HDL-C, FBG, and GGT were the only independent relative indicators of increased CMIT that entered the multivariate model. The area under receiver operating characteristic curve for a linear combination of age, LDL-C/HDL-C, FBG, and GGT was 0.809 (95% confidence interval = 0.712-0.906), superior to any of the variables taken alone (age, AUC = 0.707; FBG, AUC = 0.710; LDL-C/HDL-C, AUC = 0.695; GGT, AUC = 0.648).The combined assessment of age, LDL-C/HDL-C, FBG, and GGT contributes to an early detection for subclinical atherosclerosis, providing guidance to clinicians for women's early interventions of latent cardiovascular disease. Neither of the above four individual indicators is qualified alone.
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Qin et al. (2017) conducted a cross-sectional in Subclinical atherosclerosis (n=950). Combined metabolic risk factors (age, LDL-C/HDL-C, FBG, and GGT) vs. Individual risk factors (age, LDL-C/HDL-C, FBG, or GGT alone) was evaluated on Detection of subclinical atherosclerosis (defined as carotid intima-media thickness [CIMT] >= 0.9 mm) (AUC 0.809, 95% CI 0.712-0.906, p=<0.001). Combined assessment of age, LDL-C/HDL-C, FBG, and GGT detected subclinical atherosclerosis in young women with an AUC of 0.809 (95% CI 0.712-0.906, P<0.001), outperforming any single indicator.
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