Familial hypercholesterolemia carries a marked increase in the risk of coronary heart disease (CHD), but there is considerable variation between individuals in susceptibility to CHD. To investigate the possible role of lipoprotein(a) as a risk factor for CHD, we studied the association between serum lipoprotein(a) levels, genetic types of apolipoprotein(a) (which influence lipoprotein(a) levels), and CHD in 115 patients with heterozygous familial hypercholesterolemia. The median lipoprotein(a) level in the 54 patients with CHD was 57 mg per deciliter, which is significantly higher than the corresponding value of 18 mg per deciliter in the 61 patients without CHD. According to discriminant-function analysis, the lipoprotein(a) level was the best discriminator between the two groups (as compared with all other lipid and lipoprotein levels, age, sex, and smoking status). Phenotyping for apolipoprotein(a) was performed in 109 patients. The frequencies of the apolipoprotein(a) phenotypes and alleles differed significantly between the patients with and those without CHD. The allele LpS2, which is associated with high lipoprotein(a) levels, was found more frequently among the patients with CHD (0.33 vs. 0.12). In contrast, the LpS4 allele, which is associated with low lipoprotein(a) levels, was more frequent among those without CHD (0.27 vs. 0.15). We conclude that an elevated level of lipoprotein(a) is a strong risk factor for CHD in patients with familial hypercholesterolemia, and the increase in risk is independent of age, sex, smoking status, and serum levels of total cholesterol, triglyceride, or high-density lipoprotein cholesterol. The higher level of lipoprotein(a) observed in the patients with CHD is the result of genetic influence.
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http://dx.doi.org/10.1056/NEJM199005243222104 | DOI Listing |
J Med Internet Res
January 2025
Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Background: Gastrointestinal bleeding (GIB) is a severe and potentially life-threatening complication in patients with acute myocardial infarction (AMI), significantly affecting prognosis during hospitalization. Early identification of high-risk patients is essential to reduce complications, improve outcomes, and guide clinical decision-making.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting in-hospital GIB in patients with AMI, identify key risk factors, and evaluate the clinical applicability of the model for risk stratification and decision support.
Arterioscler Thromb Vasc Biol
January 2025
Cardiovascular Medicine Unit, Department of Medicine Solna and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden. (A.S., R.M.F., F.M.v.H.).
Background: Binding of ANGPTL (angiopoietin-like protein)-3 to ANGPTL8 generates a protein complex (ANGPTL3/8) that strongly inhibits LPL (lipoprotein lipase) activity, as compared with ANGPTL3 alone, suggesting that ANGPTL3/8 concentrations are critical for the regulation of circulation lipoprotein concentrations and subsequent increased coronary heart disease (CHD) risk. To test this hypothesis in humans, we evaluated the associations of circulating free ANGPTL3 and ANGPTL3/8 complex concentrations with lipoprotein concentrations and CHD risk in 2 prospective cohort studies.
Methods: Fasting blood samples were obtained in conjunction with the baseline evaluation of 9479 subjects from 2 population-based Swedish cohorts of middle-aged men and women.
Front Cardiovasc Med
January 2025
School of Basic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Background: Risk prediction models for depression in patients with coronary heart disease are increasingly being developed. However, the quality and applicability of these models in clinical practice remain uncertain.
Objective: To systematically evaluate depression risk prediction models in patients with coronary heart disease (CHD).
Front Microbiol
January 2025
German Centre for Infection Research (DZIF), Partner Site Tübingen, Tübingen, Germany.
Background: Early life gut microbiota is known to shape the immune system and has a crucial role in immune homeostasis. Only little is known about composition and dynamics of the intestinal microbiota in infants with congenital heart disease (CHD) and potential influencing factors.
Methods: We evaluated the intestinal microbial composition of neonates with CHD ( = 13) compared to healthy controls (HC, = 30).
Int J Cardiol Congenit Heart Dis
March 2025
Adult Congenital Heart Centre and National Centre for Pulmonary Hypertension, Royal Brompton & Harefield T MAG, London, UK.
It is paramount that we as CHD physicians and health care providers apply an individualised patient approach to assessing and encouraging an active lifestyle to all CHD patients and referring freely patients undergoing percutaneous / surgical interventions orafter decompensated heart failure admissions for cardiac rehabilitation.
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