ArticleJournal of clinical hypertension (Greenwich, Conn.)2023
Novel lipid biomarkers and ratios as risk predictors for premature coronary artery disease: A retrospective analysis of 2952 patients.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- Triglyceride-glucose index and health outcomes: an umbrella review of systematic reviews with meta-analyses of observational studies.Cardiovascular diabetology · 2024Pooled it
- Nonlinear and Age-Specific Associations Between Atherogenic Index of Plasma and Differential Cardiovascular Risk Profiles in US Adults.Cardiovascular therapeutics · 2026Article
- Novel lipid parameters for predicting and interpreting the severity of coronary artery lesions in premature coronary artery disease.Frontiers in cardiovascular medicine · 2026Article
- Associations of apolipoprotein A1, apolipoprotein B, and their ratio with novel cardiometabolic indices in adults with coronary artery disease.Frontiers in cardiovascular medicine · 2026Article
- Association of Apolipoprotein E polymorphism with lipoprotein metabolism and cardiovascular disease risk in rheumatoid arthritis patients.Clinical rheumatology · 2025Article
- Small dense LDL: An underestimated driver of atherosclerosis (Review).Molecular medicine reports · 2025Review
- Machine learning based model for predicting cardiovascular disease using dynamic triglyceride-glucose index: a longitudinal study cohort CHARLS database.Journal of geriatric cardiology : JGC · 2025Article
- Association between the atherogenic index of plasma and major adverse cardiovascular events in patients with premature coronary artery disease.European journal of medical research · 2025Article
- Systematic Review and Meta-Analysis to Explore the Relationship of Increased Homocysteine, Lipid Levels and Lipid Ratios In-Cad.Journal of pharmacy & bioallied sciences · 2025Review
- Novel lipid biomarkers and ratios as risk predictors for premature coronary artery disease: A retrospective analysis of 2952 patients.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
This study examined the associations between emerging lipid biomarkers (small dense low-density lipoprotein cholesterol [sdLDL-C), lipoprotein(a) [Lp(a)], and free fatty acids [FFA]), two ratios (sdLDL-C/LDL-C and the triglyceride-glucose [TyG) index), and the Gensini score (GS) in patients with premature coronary artery disease (PCAD) in relation to the extent of coronary stenosis. The authors evaluated a cohort of 2952 individuals undergoing coronary angiography (CAG), encompassing those with PCAD (n = 1749), late-onset coronary artery disease (LCAD; n = 328), and non-coronary artery disease (non-CAD; n = 575). Noteworthy differences were observed in the levels of the novel lipid biomarkers and ratio indexes among the PCAD, LCAD, and non-CAD groups (p < .05). Multiple logistic regression analyses pinpointed Lp(a) (OR = 2.62, 95% CI 1.22-5.63, p = .014) and the TyG index (OR = 2.53, 95% CI 1.08-5.93, p = .033) as independent risk factors for PCAD. Furthermore, these biomarkers and ratio indexes discerned substantial distinctions among PCAD patients with varying GS (p < .05). Consequently, these markers can proficiently anticipate the gravity of coronary artery stenosis (GS > 40) in PCAD patients, as evidenced by the ROC analysis. In conclusion, sdLDL-C, Lp(a), FFA, and the sdLDL-C/LDL-C and TyG indexes have considerable potential as risk and diagnostic markers for coronary artery stenosis in individuals afflicted with PCAD.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.