RÉSUMÉ
BACKGROUND: Conventional low-density lipoprotein cholesterol (LDL-C) quantification includes cholesterol attributable to lipoprotein(a) (Lp(a)-C) due to their overlapping densities. OBJECTIVES: The purposes of this study were to compare the association between LDL-C and LDL-C corrected for Lp(a)-C (LDLLp(a)corr) with incident coronary heart disease (CHD) in the general population and to investigate whether concomitant Lp(a) values influence the association of LDL-C or apolipoprotein B (apoB) with coronary events. METHODS: Among 68,748 CHD-free subjects at baseline LDLLp(a)corr was calculated as "LDL-C-Lp(a)-C," where Lp(a)-C was 30% or 17.3% of total Lp(a) mass. Fine and Gray competing risk-adjusted models were applied for the association between the outcome incident CHD and: 1) LDL-C and LDLLp(a)corr in the total sample; and 2) LDL-C and apoB after stratification by Lp(a) mass (≥/<90th percentile). RESULTS: Similar risk estimates for incident CHD were found for LDL-C and LDL-CLp(a)corr30 or LDL-CLp(a)corr17.3 (subdistribution HR with 95% CI) were 2.73 (95% CI: 2.34-3.20) vs 2.51 (95% CI: 2.15-2.93) vs 2.64 (95% CI: 2.26-3.10), respectively (top vs bottom fifth; fully adjusted models). Categorization by Lp(a) mass resulted in higher subdistribution HRs for uncorrected LDL-C and incident CHD at Lp(a) ≥90th percentile (4.38 [95% CI: 2.08-9.22]) vs 2.60 [95% CI: 2.21-3.07]) at Lp(a) <90th percentile (top vs bottom fifth; Pinteraction0.39). In contrast, apoB risk estimates were lower in subjects with higher Lp(a) mass (2.43 [95% CI: 1.34-4.40]) than in Lp(a) <90th percentile (3.34 [95% CI: 2.78-4.01]) (Pinteraction0.49). CONCLUSIONS: Correction of LDL-C for its Lp(a)-C content provided no meaningful information on CHD-risk estimation at the population level. Simple categorization of Lp(a) mass (≥/<90th percentile) influenced the association between LDL-C or apoB with future CHD mostly at higher Lp(a) levels.
Sujet(s)
Apolipoprotéines B , Cholestérol LDL , Maladie coronarienne , Lipoprotéine (a) , Humains , Lipoprotéine (a)/sang , Cholestérol LDL/sang , Mâle , Femelle , Maladie coronarienne/sang , Maladie coronarienne/épidémiologie , Adulte d'âge moyen , Apolipoprotéines B/sang , Sujet âgé , Adulte , Facteurs de risque , Appréciation des risques/méthodes , IncidenceRÉSUMÉ
BACKGROUND: Lipids, including phospholipids and bile acids, exert various signaling effects and are thought to contribute to the development of coronary artery disease (CAD). Here, we aimed to compare lipidomic and bile acid profiles in the blood of patients with and without CAD stratified by sex. METHODS: From 2015 to 2022, 3,012 patients who underwent coronary angiography were recruited in the INTERCATH cohort. From the overall cohort, subgroups were defined using patient characteristics such as CAD vs. no CAD, 1st vs. 3rd tertile of LDL-c, and female vs. male sex. Hereafter, a matching algorithm based on age, BMI, hypertension status, diabetes mellitus status, smoking status, the Mediterranean diet score, and the intake of statins, triglycerides, HDL-c and hs-CRP in a 1:1 ratio was implemented. Lipidomic analyses of stored blood samples using the Lipidyzer platform (SCIEX) and bile acid analysis using liquid chromatography with tandem mass spectrometry (LCâMS/MS) were carried out. RESULTS: A total of 177 matched individuals were analyzed; the median ages were 73.5 years (25th and 75th percentile: 64.1, 78.2) and 71.9 years (65.7, 77.2) for females and males with CAD, respectively, and 67.6 years (58.3, 75.3) and 69.2 years (59.8, 76.8) for females and males without CAD, respectively. Further baseline characteristics, including cardiovascular risk factors, were balanced between the groups. Women with CAD had decreased levels of phosphatidylcholine and diacylglycerol, while no differences in bile acid profiles were detected in comparison to those of female patients without CAD. In contrast, in male patients with CAD, decreased concentrations of the secondary bile acid species glycolithocholic and lithocholic acid, as well as altered levels of specific lipids, were detected compared to those in males without CAD. Notably, male patients with low LDL-c and CAD had significantly greater concentrations of various phospholipid species, particularly plasmalogens, compared to those in high LDL-c subgroup. CONCLUSIONS: We present hypothesis-generating data on sex-specific lipidomic patterns and bile acid profiles in CAD patients. The data suggest that altered lipid and bile acid composition might contribute to CAD development and/or progression, helping to understand the different disease trajectories of CAD in women and men. REGISTRATION: https://clinicaltrials.gov/ct2/show/NCT04936438 , Unique identifier: NCT04936438.
Sujet(s)
Acides et sels biliaires , Maladie des artères coronaires , Lipidomique , Sujet âgé , Femelle , Humains , Mâle , Adulte d'âge moyen , Acides et sels biliaires/sang , Cholestérol HDL/sang , Cholestérol LDL/sang , Maladie des artères coronaires/sang , Caractères sexuels , Facteurs sexuels , Spectrométrie de masse en tandem , Triglycéride/sang , Études de cohortesRÉSUMÉ
BACKGROUND AND AIMS: Recent investigations have suggested an interdependence of lipoprotein(a) [Lp(a)]-related risk for cardiovascular disease with background inflammatory burden. The aim the present analysis was to investigate whether high-sensitive C-reactive protein (hsCRP) modulates the association between Lp(a) and coronary heart disease (CHD) in the general population. METHODS: Data from 71 678 participants from 8 European prospective population-based cohort studies were used (65 661 without/6017 with established CHD at baseline; median follow-up 9.8/13.8 years, respectively). Fine and Gray competing risk-adjusted models were calculated according to accompanying hsCRP concentration (<2 and ≥2â mg/L). RESULTS: Among CHD-free individuals, increased Lp(a) levels were associated with incident CHD irrespective of hsCRP concentration: fully adjusted sub-distribution hazard ratios [sHRs (95% confidence interval)] for the highest vs. lowest fifth of Lp(a) distribution were 1.45 (1.23-1.72) and 1.48 (1.23-1.78) for a hsCRP group of <2 and ≥2â mg/L, respectively, with no interaction found between these two biomarkers on CHD risk (Pinteraction = 0.82). In those with established CHD, similar associations were seen only among individuals with hsCRP ≥ 2â mg/L [1.34 (1.03-1.76)], whereas among participants with a hsCRP concentration <2â mg/L, there was no clear association between Lp(a) and future CHD events [1.29 (0.98-1.71)] (highest vs. lowest fifth, fully adjusted models; Pinteraction = 0.024). CONCLUSIONS: While among CHD-free individuals Lp(a) was significantly associated with incident CHD regardless of hsCRP, in participants with CHD at baseline, Lp(a) was related to recurrent CHD events only in those with residual inflammatory risk. These findings might guide adequate selection of high-risk patients for forthcoming Lp(a)-targeting compounds.
Sujet(s)
Protéine C-réactive , Maladie coronarienne , Humains , Protéine C-réactive/métabolisme , Études prospectives , Facteurs de risque , Lipoprotéine (a) , Maladie coronarienne/épidémiologie , Marqueurs biologiques/métabolismeRÉSUMÉ
BACKGROUND: Robotic-assisted percutaneous coronary intervention (rPCI) has proven to be feasible and safe. Comparative analyses of rPCI versus manual PCI (mPCI) are scarce. AIMS: We aimed to investigate procedural aspects and outcomes of rPCI using the second-generation CorPath GRX Vascular Robotic System compared with mPCI in patients with chronic coronary syndrome and non-ST-segment elevation myocardial infarction acute coronary syndrome. METHODS: From January to April 2021, 70 patients underwent rPCI at the University Heart & Vascular Center Hamburg-Eppendorf and were recruited into the INTERCATH study. By propensity score matching, a control cohort of 210 patients who underwent mPCI from 2015-2021 was identified. Co-primary endpoints were one-year all-cause mortality and major adverse cardiovascular events (MACE) as a composite of cardiovascular death, unplanned target lesion revascularisation, myocardial infarction, and stroke. RESULTS: The median age of the patients (n=280) was 70.7 (25th percentile-75th percentile: 62.0-78.0) years, and 24.6% were female. The Gensini score (28.5 [16.2-48.1] vs 28.0 [15.5-47.0]; p=0.78) was comparable between rPCI versus mPCI. During the PCI procedure, total contrast fluid volume did not differ, whilst longer fluoroscopy times (20.4 min [13.8-27.2] vs 14.4 min [10.4-24.3]; p=0.001) were documented in the rPCI versus mPCI cohort. After 12 months of follow-up, neither all-cause mortality (p=0.22) nor MACE (p=0.25) differed between the groups. CONCLUSIONS: rPCI was associated with longer fluoroscopy times compared with mPCI, though without increased use of contrast medium. One-year follow-up revealed no differences in all-cause mortality or MACE, supporting the safety of a robotic-assisted approach.