European journal of preventive cardiology最新文献

Aims: The present analysis from the Functional Assessment in Elderly Myocardial Infarction Patients with Multivessel Disease (FIRE) trial aims to explore the significance of pre-admission physical activity and assess whether the benefits of physiology-guided complete revascularization apply consistently to sedentary and active older patients.

Methods and results: Patients aged 75 years or more with myocardial infarction (MI) and multivessel disease were randomized to receive physiology-guided complete revascularization or culprit-only strategy. The primary outcome was a composite of death, MI, stroke, or any revascularization within a year. Secondary endpoints included the composite of cardiovascular death or MI, as well as single components of the primary endpoint. Pre-admission physical activity was categorized into three groups: (i) absent (sedentary), (ii) light, and (iii) vigorous. Among 1445 patients, 692 (48%) were sedentary, whereas 560 (39%) and 193 (13%) performed light and vigorous physical activity, respectively. Patients engaging in light or vigorous pre-admission physical activity exhibited a reduced risk of the primary outcome compared with sedentary individuals [light hazard ratio (HR) 0.70, 95% confidence interval (CI) 0.55-0.91 and vigorous HR 0.14, 95% CI 0.07-0.91, respectively]. These trends were also observed for death, cardiovascular death, or MI. When comparing physiology-guided complete revascularization vs. culprit-only strategy, no significant interaction was observed for primary and secondary endpoints when stratified by sedentary or active status.

Conclusion: In older patients with MI, pre-admission physical activity emerges as a robust and independent prognostic determinant. Physiology-guided complete revascularization stands out an effective strategy in reducing ischaemic adverse events, irrespective of pre-admission physical activity status.

Clinical trial registration: ClinicalTrials.gov NCT03772743.

Aims: The efficacy of a healthy lifestyle in secondary prevention of cardiovascular disease (CVD) is well established and a first-line recommendation in CVD prevention guidelines. The aim of this study was to assess whether Mediterranean diet and physical activity are also cost-effective in patients with established CVD.

Methods and results: A cost-utility analysis (CUA) was performed comparing a combined Mediterranean diet and physical activity intervention to usual care in patients with CVD. The CUA had a healthcare perspective and lifetime horizon. Costs and utilities were estimated using a microsimulation on a cohort of 100 000 patients with CVD sampled from the Utrecht Cardiovascular Cohort-Secondary Manifestations of ARTerial disease study (n = 8947, mean age 62 ± 8.7 years, and 74% male). Cost-effectiveness was expressed as an incremental cost-effectiveness ratio (ICER), incremental net health benefit (INHB), and incremental net monetary benefit (INMB). Mediterranean diet and physical activity yielded 2.0 incremental quality-adjusted life years (QALYs) and cost reductions of €1236 per person compared with usual care, resulting in an ICER of €-626/QALY [95% confidence interval (CI) -1929 to 2673]. At a willingness-to-pay of €20 000/QALY, INHB was 2.04 (95% CI 0.99-3.58) QALYs and INMB was €40 757 (95% CI 19 819-71 605). The interventions remained cost-effective in a wide range of sensitivity analyses, including worst-case scenarios and scenarios with reimbursement for food and physical activity costs.

Conclusion: In patients with established CVD, a combined Mediterranean diet and physical activity intervention was cost-saving and highly cost-effective compared with usual care. These findings strongly advocate for the incorporation of lifestyle interventions as integral components of care for all patients with CVD.

Aims: Low QRS voltages (LQRSV) in limb leads and QRS fragmentation (FQRS) are possible electrocardiographic signs of myocardial fibrosis and cardiomyopathy, but they are not listed in current criteria for interpreting athlete's electrocardiogram (ECG). We investigated the prevalence and determinants of LQRSV and FQRS in a cohort of young apparently healthy athletes undergoing pre-participation screening (PPS).

Methods and results: We analysed a consecutive series of 2140 ECG obtained during PPS of young athletes (mean age 12.5 ± 2.6 years, 7-18-year-old, 49% males). The peak-to-peak QRS voltage was measured in all limb leads, and LQRSV were defined when maximum value was <0.5 mV. Fragmented QRS morphologies were grouped into five patterns. Lead aVR was not considered. Maximum peak-to-peak QRS voltage in limb leads was 1.4 ± 0.4 mV, similar between younger and older athletes, but significantly lower in females than males (1.35 ± 0.38 mV vs. 1.45 ± 0.42 mV; P < 0.001). There was a weak correlation between maximal QRS voltages and body mass index (BMI), but not with type of sport or training load. Only five (0.2%) individuals showed LQRSV. At least one fragmented QRS complex was identified in 831 (39%) individuals but excluding the rSr' pattern in V1-V2, only 10 (0.5%) showed FQRS in ≥2 contiguous leads. They were older than those without FQRS, but did not differ in terms of gender, BMI, type of sport, or training load.

Conclusion: Low QRS voltages in limb leads and FQRS in ≥2 contiguous leads excluding V1-V2 are rare in young apparently healthy athletes and are not related to the type and intensity of sport activity. Therefore, they may require additional testing to rule out an underlying disease particularly when other abnormalities are present.

Aims: A study of the power of physical activity (Phyac) and physical fitness (Fitscore) in predicting very long-term all-cause mortality and age at death (AD) is missing.

Methods and results: A total of 5482 middle-aged men were examined with measurement of several risk factors and followed for 60 years until the virtual extinction of cohorts. Phyac in three classes was estimated from their type of work while Fitscore was derived from the linear combinations of levels of arm circumference, heart rate, and vital capacity computed as a factor score by principal components analysis. The predictive power of these characteristics (adjusted for five traditional cardiovascular risk factors) was made by Cox models (for all-cause mortality) and multiple linear regression models (for AD). Single levels of the three indicators of fitness were highly related to the three levels of Phyac and of Fitscore. High levels of both Phyac and of Fitscore forced into the same models were associated with lower all-cause mortality and higher AD. The predictive power of Fitscore was systematically better than that of Phyac. Hazard ratios (high vs. low) for all-cause mortality were 0.85 (Phyac) and 0.70 (Fitscore). The coefficients (all significant) were 2.25 years (Phyac) and 3.79 of AD by Fitscore. Fitscore was independently and significantly predictive of all-cause mortality for both the first and second 30-year follow-up periods.

Conclusion: Phyac and Fitscore are related, and both showed important predictive power for all-cause mortality and AD. The role of Fitscore was more powerful, and both characteristics seem to be expressions of health status.

Aims: To quantify the productivity burden of cardiovascular disease (CVD) in type 2 diabetes and the potential benefits of improved CVD risk factor control.

Methods: We designed models to quantify the productivity burden (using the productivity-adjusted life-year; PALY) of CVD in Australians with type 2 diabetes aged 40-69 years from 2023-2032. PALYs were ascribed a financial value equivalent to gross domestic product (GDP) per full-time worker (AU$204,167 (€124,542)). The base-case model was designed to quantify the productivity burden of CVD in the target population. Then, other hypothetical scenarios were simulated to estimate the potential productivity gains resulting from improved control of risk factors. These scenarios included reductions in systolic blood pressure (SBP), number of smokers, total cholesterol, and incidence of type 2 diabetes. All future costs and outcomes were discounted at an annual rate of 5%.

Results: In the base-case (i.e. current projections), the estimated total PALYs lost due to CVD in type 2 diabetes were 1.21 million (95%CI (1.10-1.29 million), contributing to an AU$258.93 (€157.94) billion (95%CI (AU$258.73-261.69 (€157.83-159.63) billion) lost in the country's GDP. If there were reductions in SBP, number of smokers, total cholesterol, and incidence of type 2 diabetes, there would be gains of 7,889, 28,971, 7,117, and 320,124 PALYs, respectively. These improvements would also lead to economic gains of AU$1.72 (€1.05) billion, AU$6.21 (€3.79) billion, AU$1.55 billion (€947.33 million), and AU$68.34 (€41.69) billion, respectively.

Conclusions: Targeted "early lifestyle" strategies that can prevent CVD in Australians with type 2 diabetes are likely positively impact Australian health and work productivity.