[Evaluation of coronary risk: a new technique of measuring lipoprotein (a)].

Arch Mal Coeur Vaiss

Services de cardiologie, hôpital d'instruction des armées du Val-de-Grâce, Paris.

Published: November 1995

The aim of this study was to assess the reliability of immuno-nephelemetric assay (INA) of lipoprotein (Lp(a)) compared with immuno-radiometric (IRMA) and immuno-enzymologic (ELISA) assays in a coronary (P1) and a non-coronary (P2) populations. The serums of 66 coronary subjects (P1) with an average age of 61.5 +/- 10 years and 137 non-coronary subjects (P2) with an average age of 54 +/- 12 years were analysed by the 3 techniques. The technical characteristics of the INA were: negligeable interference with plasminogen (PLG) (< 1/100) for PLG < 375 mg/l; excellent repeatability and reproducibility at low, medium and high concentrations, respectively 12.3 and 7.5%. 1.2 and 1.2%, 1.3 and 1.1%, low dependance on sample conservation (stable 5 days at +4 degrees C), excellent practicability (simple and quick automised analysis: 10 min). The linear correlations with the concentrations of Lp(a) were: excellent with INA/IRMA P1 and P2: 0.99; very good with INA/ELISA P1: 0.88 and P2: 0.85; very good between IRMA/ELISA P1: 0.91 and P2: 0.87. The average values of Lp(a) were 386 mg/l (INA), 339 mg/l (IRMA), 316 mg/l (ELISA) for P1, and 231 mg/l (INA), 212 mg/l (IRMA) and 153 mg/l (ELISA) for P2, with a significant difference between P1 and P2 with all three techniques: 0.0138 (INA), 0.0207 (IRMA) and 0.0001 (ELISA). The authors concluded that measuring Lp(a) by INA is reliable with respect to IRMA and ELISA techniques, as accurate, quicker, automatised and cheaper, compensating for a lower sensitivity, a calculated risk of a non-specific reaction and the necessity of a shorter delay of analysis. The comparative results in two populations demonstrate it to be an excellent marker of coronary risk for epidemiological studies, independant of other risk factors.

Download full-text PDF

Source

Publication Analysis

Top Keywords

coronary risk
8
subjects average
8
average age
8
+/- years
8
mg/l ina
8
mg/l irma
8
mg/l elisa
8
mg/l
7
ina
6
irma
5

Similar Publications

Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course.

Circ Genom Precis Med

January 2025

Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston. (S.M.U., K.P., B.T., A.C.F., P.N.).

Background: Earlier identification of high coronary artery disease (CAD) risk individuals may enable more effective prevention strategies. However, existing 10-year risk frameworks are ineffective at earlier identification. We sought to understand how the variable importance of genomic and clinical factors across life stages may significantly improve lifelong CAD event prediction.

View Article and Find Full Text PDF

Background: Protein-truncating mutations in the titin gene are associated with increased risk of atrial fibrillation. However, little is known about the underlying pathophysiology.

Methods: We identified a heterozygous titin truncating variant (TTNtv) in a patient with unexplained early onset atrial fibrillation and normal ventricular function.

View Article and Find Full Text PDF

Background: Females with hypertrophic cardiomyopathy present at a more advanced stage of the disease and have a higher risk of heart failure and death. The factors behind these differences are unclear. We aimed to investigate sex-related differences in clinical and genetic factors affecting adverse outcomes in the Sarcomeric Human Cardiomyopathy Registry.

View Article and Find Full Text PDF

Objectives: Despite the widely recognised high mortality rate among patients with hip fracture, the variation in death rates by gender and cause has been less explored. This study aimed to investigate mortality rates and causes of death in patients who underwent hip fracture surgery, and to compare them with those of the general population. A secondary objective was to compare the results of Internal Fixation versus Arthroplasty in these patients.

View Article and Find Full Text PDF

Background: The National Lung Screening Trial (NLST) has shown that screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. These patients are also at high risk of coronary artery disease, and we used deep learning model to automatically detect, quantify and perform risk categorisation of coronary artery calcification score (CACS) from non-ECG gated Chest CT scans.

Materials And Methods: Automated calcium quantification was performed using a neural network based on Mask regions with convolutional neural networks (R-CNN) for multiorgan segmentation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!