European journal of preventive cardiology最新文献

Aim: In post-myocardial infarction (MI) patients, we examined independent and combined associations of vitamin D status and physical activity (PA) with long-term mortality, including effect modification by health determinants.

Methods: We conducted a prospective analysis of 4,837 MI patients from the Alpha Omega Cohort. Baseline blood samples (2002-2006) were assessed for plasma 25-hydroxyvitamin D (25[OH]D) levels using LC-MS/MS. PA was assessed using a validated questionnaire. Patients were followed for mortality through December 2022. HRs for CVD and all-cause mortality were obtained across sex-specific tertiles of 25(OH)D and four categories of PA using Cox models, adjusted for sociodemographic and lifestyle factors. Potential effect modification by health determinants was examined through stratification.

Results: Patients were 69±5.6 years old, 78% was male, 21% had diabetes, and 10% used vitamin D-containing supplements. Over 14.4 years, 3,206 deaths occurred, including 1,244 from CVD. Median 25(OH)D was 21.1 ng/mL and 44% was vitamin D deficient (<20 ng/mL). Higher 25(OH)D levels were associated with lower CVD (HR:0.63, 95%CI:0.54,0.74) and all-cause mortality (HR:0.68, 95%CI:0.62,0.75). For PA levels (high vs. light), HRs were 0.72 (95%CI:0.61,0.85) for CVD mortality and 0.83 (95%CI:0.75,0.92) for all-cause mortality. Patients with low 25(OH)D and no PA had a threefold higher mortality risk than those with high 25(OH)D levels and high PA. The associations were not significantly modified by sex, comorbidities and other health determinants.

Conclusions: Vitamin D status and PA were inversely and independently associated with long-term risk of CVD and all-cause mortality after MI, regardless of other health determinants.

Aims: Low cardiorespiratory fitness (CRF) is associated with functional disability, heart failure and mortality. Left ventricular (LV) end-diastolic volume (LVEDV) has been linked with CRF, but its utility as a diagnostic marker of low CRF has not been tested.

Methods: This multi-center international cohort examined the relationship between LV size on echocardiography and CRF (peak oxygen uptake [peak VO2] from cardiopulmonary exercise testing) in individuals with LV ejection fraction ≥50%. Absolute and BSA-indexed LVEDV (LVEDVi) were tested as predictors of low CRF and functional disability (peak VO2 <1100ml/min or <18 ml/kg/min) and compared against candidate measures of cardiac structure and function.

Results: 2876 individuals (309 endurance athletes, 251 healthy non-athletes, 1969 individuals with unexplained dyspnea, 347 individuals with heart failure with preserved ejection fraction) were included. For the entire cohort, LVEDV had the strongest univariable association with peak VO2 (R2 =0.45, standardized [std]β 0.67, p<0.001) and remained the strongest independent predictor of peak VO2 after adjusting for age, sex and BMI (stdβ 0.30, p<0.001). LVEDV was better at identifying low CRF than most established echocardiographic measures (LVEDV AUC 0.72; LVEDVi AUC 0.71), but equivalent to the E/e' ratio. The probability of achieving a peak VO2 below the functional independence threshold was highest for smaller ventricular volumes, with LVEDV and LVEDVi of 88ml and 57ml/m2 providing the optimal cut-points, respectively.

Conclusions: Small resting ventricular size is associated with a higher probability of low CRF and functional disability. LV size is the strongest independent echocardiographic predictor of CRF across the health-disease continuum.

Aims: Left ventricular (LV) ring-like scar on cardiac magnetic resonance (CMR) has been linked to malignant arrhythmias in patients with non-ischemic cardiomyopathy. This study aimed to perform a comprehensive evaluation of this phenotype and to identify risk factors for life-threatening arrhythmic events (LAEs), a composite of sudden cardiac death (SCD), aborted SCD, and sustained ventricular tachycardia.

Methods and results: One-hundred-fifteen patients (median age 39 [IQR 28-52], 42% females) were identified at 6 referral centres. Inclusion criteria were ring-like LV scar (≥ 3 contiguous segments with subepicardial/midwall late gadolinium enhancement (LGE) in the same slice) and one among: pathogenic/likely pathogenic genetic variant, family history for cardiomyopathy, or arrhythmogenic cardiomyopathy diagnosis. During the study follow-up, survival-free from LAEs was 60% (3.8 events/100 patients/year); at a median follow-up of 4.6 years (IQR 1.7-8.4) it was 84%. On multivariable analysis, anterior Q waves (HR:1.030, 95% CI:1.014-1.046, p < 0.001), QRS width (HR:4.642, 95% CI:1.296-16.628, p=0.018), and LV end-diastolic volume index (LVEDVi) (HR:1.011, 95% CI:1.001-1.021, per mL/m2 increase, p=0.040) were independently associated with LAEs; with good discrimination power (Harrell's C-index=0.796). Three risk categories were identified: normal ECG, abnormal ECG and no LAEs predictive variables, abnormal ECG and ≥ 1 LAEs predictive variables, with a decreasing survival from 100% to 65% and 49%, respectively (Log-rank test = 0.015).

Conclusions: In this study, the LV ring-like scar phenotype was associated with a high rate of malignant arrhythmias in presence of anterior Q waves, QRS prolongation, and increased LVEDVi. A normal ECG identified a lower risk subgroup.

Aims: Adults with type 2 diabetes have an increased risk of cardiovascular events (CVE), the world's leading cause of mortality. The SCORE2-Diabetes model is a tool designed to estimate the 10-year risk of CVE specifically in individuals with type 2 diabetes. However, the performance of such models may vary across different demographic and socioeconomic groups, necessitating validation and assessment in diverse populations. This study aims to externally validate SCORE2-Diabetes and assess its performance across various socioeconomic and migration origins in the Netherlands.

Methods: We selected adults with type 2 diabetes, aged 40-79 years and without previous CVE from the Extramural LUMC Academic Network (ELAN) primary care data cohort from 2007 to 2023. ELAN data were linked with Statistics Netherlands registry data to obtain information about the country of origin and socioeconomic status (SES). CVE was defined as myocardial infarction, stroke, or CV mortality. Non-CV mortality was considered a competing event. Analyses were stratified by sex, Dutch versus other non-Dutch countries of origin, and quintiles of SES.

Results: Of the 26,544 included adults with type 2 diabetes, 2,518 developed CVE. SCORE2-Diabetes showed strong predictive accuracy for CVE in the Dutch population (observed-to-expected ratio (OE)=1.000, 95% CI=0.990-1.008 for men, and OE=1.050, 95% CI=1.042-1.057 for women). For non-Dutch individuals, the model underestimated CVE risk (OE=1.121, 95% CI=1.108-1.131 for men, and OE=1.100, 95% CI=1.092-1.111 for women). The model also underestimated the CVE risk (OE>1) in low SES groups and overestimated the risk (OE<1) in high SES groups. Discrimination was moderate across subgroups with c-indices between 0.6 and 0.7.

Conclusions: SCORE2-Diabetes accurately predicted the risk of CVE in the Dutch population. However, it underpredicted the risk of CVE in the low SES groups and non-Dutch origins, while overpredicting the risk in high SES men and women. Additional clinical judgment must be considered when using SCORE2-Diabetes for different SES and countries of origin.

Aims: Inflammatory lipoprotein(a) [Lp(a)] and oxidized phospholipids (OxPLs) on lipoproteins convey residual cardiovascular disease risk. The LoDoCo2 (low-dose colchicine 2) trial showed that colchicine reduced the risk for cardiovascular events occurring on standard therapies in patients with chronic coronary disease (CCS). We explored the effects of colchicine on Lp(a) and oxidized lipoprotein associated risk in a LoDoCo2 biomarker subpopulation.

Methods: Lp(a), OxPLs on apolipoprotein(a) [OxPL-apo(a)] and apolipoprotein B (OxPL-apoB) levels were determined in the biomarker population of the LoDoCo2 trial (n = 1777). Cox regression analysis was used to compare the risk for the primary endpoint, consisting of myocardial infarction, ischemic stroke, or ischemia-driven revascularization by biomarker levels. Interactions between treatment, Lp(a) and OxPL levels were evaluated.

Results: Lp(a), OxPL-apo(a) and OxPL-apoB levels were similar between the colchicine and placebo groups. Consistent risk reduction by colchicine was observed in those with Lp(a) <125 nmol/L and ≥125 nmol/L, and the highest OxPL-apo(a) tertile compared to the lowest (Pinteraction=0.92 and 0.66). The absolute risk reduction for those with Lp(a) ≥125 nmol/L appeared higher compared to those with Lp(a) <125 nmol/L (4.4% vs 2.4%). A treatment interaction for colchicine was found in those with the highest OxPL-apoB tertile vs the lowest (Pinteraction=0.04).

Conclusion: In patients with CCS, colchicine reduces cardiovascular disease risk in those with and without elevated Lp(a) but absolute benefits appeared higher in those with Lp(a) ≥125 nmol/L. Patients with higher levels of OxPL-apoB experienced greater benefit of colchicine, suggesting colchicine may be more effective in subjects with heightened oxidation-driven inflammation.

Background: This study aims to explore whether conventional and emerging biomarkers could improve risk discrimination and calibration in secondary prevention of recurrent atherosclerotic cardiovascular disease (ASCVD), based on a model using predictors from SMART2.

Methods: In a cohort of 20,658 UK Biobank participants with medical history of ASCVD, we analysed any improvement in C indices and net reclassification index (NRI) for future ASCVD events, following addition of LP-a, ApoB, cystatin C, HbA1c, GGT, AST, ALT, and ALP, to a model with predictors used in SMART2 for the outcome of recurrent major cardiovascular event. We also examined any improvement in C indices and NRIs replacing creatinine based estimated glomerular filtration rate (eGFR) with cystatin C based estimates. Calibration plots between different models were also compared.

Results: Compared with the baseline model (C index=0.663), modest increment in C indices were observed when adding HbA1c (ΔC=0.0064, p<0.001), cystatin C (ΔC=0.0037, p<0.001), GGT (ΔC=0.0023, p<0.001), AST (ΔC= 0.0007, p<0.005) or ALP (ΔC=0.0010, p<0.001) or replacing eGFRCr with eGFRCysC (ΔC=0.0036, p<0.001) or eGFRCr-CysC (ΔC=0.00336, p<0.001). Similarly, the strongest improvements in NRI were observed with the addition of HbA1c (NRI=0.014), or cystatin C (NRI= 0.006) or replacing eGFRCr with eGFRCr-CysC (NRI=0.001) or eGFRCysC (NRI=0.002). There was no evidence that adding biomarkers modify calibration.

Conclusions: Adding several biomarkers, most notably cystatin C and HbA1c, but not LP-a, in a model using SMART2 predictors modestly improved discrimination.