Global Effect of Modifiable Risk Factors on Cardiovascular Disease and Mortality.

BACKGROUND: Five modifiable risk factors are associated with cardiovascular disease and death from any cause. Studies using individual-level data to evaluate the regional and sex-specific prevalence of the risk factors and their effect on these outcomes are lacking. METHODS: We pooled and harmonized individual-level data from 112 cohort studies conducted in 34 countries and 8 geographic regions participating in the Global Cardiovascular Risk Consortium. We examined associations between the risk factors (body-mass index, systolic blood pressure, non-high-density lipoprotein cholesterol, current smoking, and diabetes) and incident cardiovascular disease and death from any cause using Cox regression analyses, stratified according to geographic region, age, and sex. Population-attributable fractions were estimated for the 10-year incidence of cardiovascular disease and 10-year all-cause mortality. RESULTS: Among 1,518,028 participants (54.1% of whom were women) with a median age of 54.4 years, regional variations in the prevalence of the five modifiable risk factors were noted. Incident cardiovascular disease occurred in 80,596 participants during a median follow-up of 7.3 years (maximum, 47.3), and 177,369 participants died during a median follow-up of 8.7 years (maximum, 47.6). For all five risk factors combined, the aggregate global population-attributable fraction of the 10-year incidence of cardiovascular disease was 57.2% (95% confidence interval [CI], 52.4 to 62.1) among women and 52.6% (95% CI, 49.0 to 56.1) among men, and the corresponding values for 10-year all-cause mortality were 22.2% (95% CI, 16.8 to 27.5) and 19.1% (95% CI, 14.6 to 23.6). CONCLUSIONS: Harmonized individual-level data from a global cohort showed that 57.2% and 52.6% of cases of incident cardiovascular disease among women and men, respectively, and 22.2% and 19.1% of deaths from any cause among women and men, respectively, may be attributable to five modifiable risk factors. (Funded by the German Center for Cardiovascular Research (DZHK); ClinicalTrials.gov number, NCT05466825.).

C-reactive protein modifies lipoprotein(a)-related risk for coronary heart disease: the BiomarCaRE project.

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 ≥2 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 ≥2 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 ≥ 2 mg/L [1.34 (1.03-1.76)], whereas among participants with a hsCRP concentration <2 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.

Interactive effects of long-term exposure to air pollutants on SARS-CoV-2 infection and severity: a northern Italian population-based cohort study.

BACKGROUND: We examined interactions, to our knowledge not yet explored, between long-term exposures to particulate matter (PM 10 ) with nitrogen dioxide (NO 2 ) and ozone (O 3 ) on SARS-CoV-2 infectivity and severity. METHODS: We followed 709,864 adult residents of Varese Province from 1 February 2020 until the first positive test, COVID-19 hospitalization, or death, up to 31 December 2020. We estimated residential annual means of PM 10 , NO 2 and O 3 in 2019 from chemical-transport and random-forest models. We estimated interactive effects of pollutants with urbanicity on SARS-CoV-2 infectivity, hospitalization, and mortality endpoints using Cox regression models adjusted for socio-demographic factors and comorbidities, and additional cases due to interactions using Poisson models. RESULTS: 41,065 individuals were infected, 5,203 were hospitalized and 1,543 died from COVID-19 during follow-up. Mean PM 10 was 1.6 times higher and NO 2 2.6 times higher than WHO limits, with wide gradients between urban and non-urban areas. PM 10 and NO 2 were positively associated with SARS-CoV-2 infectivity and mortality, and PM 10 with hospitalizations in urban areas. Interaction analyses estimated that the effect of PM 10 (per 3.5 µg/m 3 ) on infectivity was strongest in urban areas (HR=1.12, 95%CI:1.09-1.16), corresponding to 854 additional cases per 100,000 person-years, and in areas at high NO 2 co-exposure (HR=1.15, 1.08-1.22). At higher levels of PM 10 co-exposure the protective association of ozone reversed (HR=1.32, 1.17-1.49), yielding to 278 additional cases per µg/m 3 increase in O 3 . We estimated similar interactive effects for severity endpoints. CONCLUSIONS: We estimate that interactive effects between pollutants exacerbated the burden of SARS-CoV-2 pandemic in urban areas.

Prognostic Value of Cardiovascular Biomarkers in the Population.

Importance: Identification of individuals at high risk for atherosclerotic cardiovascular disease within the population is important to inform primary prevention strategies. Objective: To evaluate the prognostic value of routinely available cardiovascular biomarkers when added to established risk factors. Design, Setting, and Participants: Individual-level analysis including data on cardiovascular biomarkers from 28 general population-based cohorts from 12 countries and 4 continents with assessments by participant age. The median follow-up was 11.8 years. Exposure: Measurement of high-sensitivity cardiac troponin I, high-sensitivity cardiac troponin T, N-terminal pro-B-type natriuretic peptide, B-type natriuretic peptide, or high-sensitivity C-reactive protein. Main Outcomes and Measures: The primary outcome was incident atherosclerotic cardiovascular disease, which included all fatal and nonfatal events. The secondary outcomes were all-cause mortality, heart failure, ischemic stroke, and myocardial infarction. Subdistribution hazard ratios (HRs) for the association of biomarkers and outcomes were calculated after adjustment for established risk factors. The additional predictive value of the biomarkers was assessed using the C statistic and reclassification analyses. Results: The analyses included 164 054 individuals (median age, 53.1 years [IQR, 42.7-62.9 years] and 52.4% were women). There were 17 211 incident atherosclerotic cardiovascular disease events. All biomarkers were significantly associated with incident atherosclerotic cardiovascular disease (subdistribution HR per 1-SD change, 1.13 [95% CI, 1.11-1.16] for high-sensitivity cardiac troponin I; 1.18 [95% CI, 1.12-1.23] for high-sensitivity cardiac troponin T; 1.21 [95% CI, 1.18-1.24] for N-terminal pro-B-type natriuretic peptide; 1.14 [95% CI, 1.08-1.22] for B-type natriuretic peptide; and 1.14 [95% CI, 1.12-1.16] for high-sensitivity C-reactive protein) and all secondary outcomes. The addition of each single biomarker to a model that included established risk factors improved the C statistic. For 10-year incident atherosclerotic cardiovascular disease in younger people (aged <65 years), the combination of high-sensitivity cardiac troponin I, N-terminal pro-B-type natriuretic peptide, and high-sensitivity C-reactive protein resulted in a C statistic improvement from 0.812 (95% CI, 0.8021-0.8208) to 0.8194 (95% CI, 0.8089-0.8277). The combination of these biomarkers also improved reclassification compared with the conventional model. Improvements in risk prediction were most pronounced for the secondary outcomes of heart failure and all-cause mortality. The incremental value of biomarkers was greater in people aged 65 years or older vs younger people. Conclusions and Relevance: Cardiovascular biomarkers were strongly associated with fatal and nonfatal cardiovascular events and mortality. The addition of biomarkers to established risk factors led to only a small improvement in risk prediction metrics for atherosclerotic cardiovascular disease, but was more favorable for heart failure and mortality.

Application of High-Sensitivity Troponin in Suspected Myocardial Infarction.

BACKGROUND: Data regarding high-sensitivity troponin concentrations in patients presenting to the emergency department with symptoms suggestive of myocardial infarction may be useful in determining the probability of myocardial infarction and subsequent 30-day outcomes. METHODS: In 15 international cohorts of patients presenting to the emergency department with symptoms suggestive of myocardial infarction, we determined the concentrations of high-sensitivity troponin I or high-sensitivity troponin T at presentation and after early or late serial sampling. The diagnostic and prognostic performance of multiple high-sensitivity troponin cutoff combinations was assessed with the use of a derivation-validation design. A risk-assessment tool that was based on these data was developed to estimate the risk of index myocardial infarction and of subsequent myocardial infarction or death at 30 days. RESULTS: Among 22,651 patients (9604 in the derivation data set and 13,047 in the validation data set), the prevalence of myocardial infarction was 15.3%. Lower high-sensitivity troponin concentrations at presentation and smaller absolute changes during serial sampling were associated with a lower likelihood of myocardial infarction and a lower short-term risk of cardiovascular events. For example, high-sensitivity troponin I concentrations of less than 6 ng per liter and an absolute change of less than 4 ng per liter after 45 to 120 minutes (early serial sampling) resulted in a negative predictive value of 99.5% for myocardial infarction, with an associated 30-day risk of subsequent myocardial infarction or death of 0.2%; a total of 56.5% of the patients would be classified as being at low risk. These findings were confirmed in an external validation data set. CONCLUSIONS: A risk-assessment tool, which we developed to integrate the high-sensitivity troponin I or troponin T concentration at emergency department presentation, its dynamic change during serial sampling, and the time between the obtaining of samples, was used to estimate the probability of myocardial infarction on emergency department presentation and 30-day outcomes. (Funded by the German Center for Cardiovascular Research [DZHK]; ClinicalTrials.gov numbers, NCT00470587, NCT02355457, NCT01852123, NCT01994577, and NCT03227159; and Australian New Zealand Clinical Trials Registry numbers, ACTRN12611001069943, ACTRN12610000766011, ACTRN12613000745741, and ACTRN12611000206921.).

Influence of geographical latitude on vitamin D status: cross-sectional results from the BiomarCaRE consortium.

Even though sunlight is viewed as the most important determinant of 25-hydroxyvitamin D (25(OH)D) status, several European studies have observed higher 25(OH)D concentrations among north-Europeans than south-Europeans. We studied the association between geographical latitude (derived from ecological data) and 25(OH)D status in six European countries using harmonised immunoassay data from 81 084 participants in the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) project (male sex 48·9 %; median age 50·8 years; examination period 1984-2014). Quantile regression models, adjusted for age, sex, decade and calendar week of sampling and time from sampling to analysis, were used for between-country comparisons. Up until the median percentile, the ordering of countries by 25(OH)D status (from highest to lowest) was as follows: Sweden (at 65·6-63·8°N), Germany (at 48·4°N), Finland (at 65·0-60·2°N), Italy (at 45·6-41·5°N), Scotland (at 58·2-55·1°N) and Spain (at 41·5°N). From the 75th percentile and upwards, Finland had higher values than Germany. As an example, using the Swedish cohort as a comparator, the median 25(OH)D concentration was 3·03, 3·28, 5·41, 6·54 and 9·28 ng/ml lower in the German, Finnish, Italian, Scottish and Spanish cohort, respectively (P-value < 0·001 for all comparisons). The ordering of countries was highly consistent in subgroup analyses by sex, age, and decade and season of sampling. In conclusion, we confirmed the previous observation of a north-to-south gradient of 25(OH)D status in Europe, with higher percentile values among north-Europeans than south-Europeans.

Long-term exposure to air pollution and COVID-19 incidence: a prospective study of residents in the city of Varese, Northern Italy.

OBJECTIVES: To investigate the association between long-term exposure to airborne pollutants and the incidence of SARS-CoV-2 up to March 2021 in a prospective study of residents in Varese city. METHODS: Citizens of Varese aged ≥18 years as of 31 December 2019 were linked by residential address to 2018 average annual exposure to outdoor concentrations of PM2.5, PM10, NO2, NO and ozone modelled using the Flexible Air quality Regional Model (FARM) chemical transport model. Citizens were further linked to regional datasets for COVID-19 case ascertainment (positive nasopharyngeal swab specimens) and to define age, sex, living in a residential care home, population density and comorbidities. We estimated rate ratios and additional numbers of cases per 1 µg/m3 increase in air pollutants from single- and bi-pollutant Poisson regression models. RESULTS: The 62 848 residents generated 4408 cases. Yearly average PM2.5 exposure was 12.5 µg/m3. Age, living in a residential care home, history of stroke and medications for diabetes, hypertension and obstructive airway diseases were independently associated with COVID-19. In single-pollutant multivariate models, PM2.5 was associated with a 5.1% increase in the rate of COVID-19 (95% CI 2.7% to 7.5%), corresponding to 294 additional cases per 100 000 person-years. The association was confirmed in bi-pollutant models; excluding subjects in residential care homes; and further adjusting for area-based indicators of socioeconomic level and use of public transportation. Similar findings were observed for PM10, NO2 and NO. Ozone was associated with a 2% decrease in disease rate, the association being reversed in bi-pollutant models. CONCLUSIONS: Long-term exposure to low levels of air pollutants, especially PM2.5, increased the incidence of COVID-19. The causality warrants confirmation in future studies; meanwhile, government efforts to further reduce air pollution should continue.

Association of glycated hemoglobin A1c levels with cardiovascular outcomes in the general population: results from the BiomarCaRE (Biomarker for Cardiovascular Risk Assessment in Europe) consortium.

BACKGROUND: Biomarkers may contribute to improved cardiovascular risk estimation. Glycated hemoglobin A1c (HbA1c) is used to monitor the quality of diabetes treatment. Its strength of association with cardiovascular outcomes in the general population remains uncertain. This study aims to assess the association of HbA1c with cardiovascular outcomes in the general population. METHODS: Data from six prospective population-based cohort studies across Europe comprising 36,180 participants were analyzed. HbA1c was evaluated in conjunction with classical cardiovascular risk factors (CVRFs) for association with cardiovascular mortality, cardiovascular disease (CVD) incidence, and overall mortality in subjects without diabetes (N = 32,496) and with diabetes (N = 3684). RESULTS: Kaplan-Meier curves showed higher event rates with increasing HbA1c levels (log-rank-test: p < 0.001). Cox regression analysis revealed significant associations between HbA1c (in mmol/mol) in the total study population and the examined outcomes. Thus, a hazard ratio (HR) of 1.16 (95% confidence interval (CI) 1.02-1.31, p = 0.02) for cardiovascular mortality, 1.13 (95% CI 1.03-1.24, p = 0.01) for CVD incidence, and 1.09 (95% CI 1.02-1.17, p = 0.01) for overall mortality was observed per 10 mmol/mol increase in HbA1c. The association with CVD incidence and overall mortality was also observed in study participants without diabetes with increased HbA1c levels (HR 1.12; 95% CI 1.01-1.25, p = 0.04) and HR 1.10; 95% CI 1.01-1.20, p = 0.02) respectively. HbA1c cut-off values of 39.9 mmol/mol (5.8%), 36.6 mmol/mol (5.5%), and 38.8 mmol/mol (5.7%) for cardiovascular mortality, CVD incidence, and overall mortality, showed also an increased risk. CONCLUSIONS: HbA1c is independently associated with cardiovascular mortality, overall mortality and cardiovascular disease in the general European population. A mostly monotonically increasing relationship was observed between HbA1c levels and outcomes. Elevated HbA1c levels were associated with cardiovascular disease incidence and overall mortality in participants without diabetes underlining the importance of HbA1c levels in the overall population.

Identification of dietary patterns in a general population of North Italian adults and their association with arterial stiffness. The RoCAV study.

BACKGROUND AND AIMS: The aims of this study were to identify dietary patterns in a general population of North Italian adults and to investigate the cross-sectional association between prevalent dietary patterns and arterial stiffness. METHODS AND RESULTS: Participants to the RoCAV study without chronic diseases at recruitment and with reliable dietary data were included. The food-frequency EPIC questionnaire was used to evaluate dietary habits. Dietary patterns were estimated using principal components analysis and Mediterranean diet adherence score (MedS). Carotid-femoral pulse wave velocity (cfPWV) was used as proxy of arterial stiffness. Basing on data from 2640 subjects (1608 men and 1032 women, mean ± SD 65.5 ± 6.7 years), four principal components (PC) were retained, explaining 24% of the overall variance. Considering 1284 subjects with cfPWV (mean ± SD 10.7 ± 2.5 m/s) data available, adherence to PC1 (Western-like dietary pattern) was associated with higher stiffness values (+0.29 m/s cfPWV for 1 SD increase of PC1, 95% CI:0.08,0.50; p = 0.007) in a multivariate model. Conversely, adherence to PC2 (Mediterranean-like) was not related to cfPWV values (-0.18, 95% CI: -0.36, 0.004; p = 0.06). Likewise, MedS and other PC patterns did not show any significant association with cfPWV. Mediation analysis showed that the association between Western-like dietary pattern and cfPWV is mediated by higher levels of leucocytes (9.2% of the effect, p = 0.047). CONCLUSIONS: Our study in a Southern European population identified a Western-like dietary pattern associated with an increased cfPWV, a proxy of arterial stiffness. The association with cfPWV was in part mediated by inflammatory status.

Pre-graduation medical training including virtual reality during COVID-19 pandemic: a report on students' perception.

BACKGROUND: The Coronavirus Disease 19 (COVID-19) pandemic brought significant disruption to in-hospital medical training. Virtual reality simulating the clinical environment has the potential to overcome this issue and can be particularly useful to supplement the traditional in-hospital medical training during the COVID-19 pandemic, when hospital access is banned for medical students. The aim of this study was to assess medical students' perception on fully online training including simulated clinical scenarios during COVID-19 pandemic. METHODS: From May to July 2020 when in-hospital training was not possible, 122 students attending the sixth year of the course of Medicine and Surgery underwent online training sessions including an online platform with simulated clinical scenarios (Body Interact™) of 21 patient-based cases. Each session focused on one case, lasted 2 h and was divided into three different parts: introduction, virtual patient-based training, and debriefing. In the same period, adjunctive online training with formal presentation and discussion of clinical cases was also given. At the completion of training, a survey was performed, and students filled in a 12-item anonymous questionnaire on a voluntary basis to rate the training quality. Results were reported as percentages or with numeric ratings from 1 to 4. Due to the study design, no sample size was calculated. RESULTS: One hundred and fifteen students (94%) completed the questionnaire: 104 (90%) gave positive evaluation to virtual reality training and 107 (93%) appreciated the format in which online training was structured. The majority of participants considered the platform of virtual reality training realistic for the initial clinical assessment (77%), diagnostic activity (94%), and treatment options (81%). Furthermore, 97 (84%) considered the future use of this virtual reality training useful in addition to the apprenticeship at patient's bedside. Finally, 32 (28%) participants found the online access difficult due to technical issues. CONCLUSIONS: During the COVID-19 pandemic, online medical training including simulated clinical scenarios avoided training interruption and the majority of participant students gave a positive response on the perceived quality of this training modality. During this time frame, a non-negligible proportion of students experienced difficulties in online access to this virtual reality platform.

[Work ability in workers with heart disease: assessing physical and psycho-social risks]. / Idoneità lavorativa nel cardiopatico: valutare i rischi fisici e psico-sociali.

SUMMARY: Cardiovascular diseases are the main cause of death and disability in all industrialized countries, including Italy. Advances in acute phase treatment and increasingly effective rehabilitation programs have determined higher survival rates and a subsequent rise in disease prevalence in working age population. Hence the need for implementing social reintegration programs, including interventions aimed specifically at aiding the process of returning to work, in which the occupational physician plays a crucial role by means of assessing the compatibility between the workers residual clinical and functional capabilities and the characteristics of their job profile. On the basis of recent literature data, particular attention must be paid to occupational risks towards which cardiopathic patients are particularly susceptible, i.e. environmental risks (physical effort), organizational and psycho-social risks (workload and time pressure, shifts, job demand and control). A close collaboration between the occupation physician and the cardiologist to ensure an effective return to work process is highly recommended, as well as periodic re-evaluations of job placement adequacy that can also include clinical examinations, performed during working hours, of the degree of cardiovascular adaptation to working conditions.

Allostatic load as a mediator of the association between psychosocial risk factors and cardiovascular diseases. Recent evidence and indications for prevention.

SUMMARY: Aims. Some categories of workers are more vulnerable to the detrimental effect of job strain on cardiovascular risk. We investigate allostatic load, the physiological "wear and tear" resulting from adaptation to chronic stress, as a candidate pathway to explain such vulnerability. Methods. We selected 25-64 years old salaried workers participants to three population-based cohorts. We defined allostatic load (AL) as the sum of z-scores of 9 selected biomarkers; occupational classes (OCs) from the Erikson- Goldthorpe-Portocarero schema; and job strain (JS) according to Karasek's demand-control model. We adopted the Oaxaca- Blinder decomposition to disentangle the OC gradient in AL into the differential exposure (attributable to different JS prevalence across OCs) and the differential vulnerability (attributable to a different effect of JS on AL across OCs) components. Results. In the n=2010 workers (62% men, 34% manuals), OCs, but not JS categories, were associated with AL, independently of age and gender (p-value: 0.02). In the overall sample, JS did not have an effect on the OC gradient in AL. Conversely, in workers with sleep impairment, depression, or not engaged into physical activity, JS had a positive differential vulnerability coefficient of 0.63 (95%CI 0.05 to 1.21). Conclusions. In manual workers with impaired capacity of response, job strain is associated with a disproportional allostatic load accumulation.

Prevalence of Abdominal Aortic Aneurysms in the General Population and in Subgroups at High Cardiovascular Risk in Italy. Results of the RoCAV Population Based Study.

OBJECTIVES: Prevalence data on abdominal aortic aneurysm (AAA) in women, subjects younger than 65 years and in subgroups carrying specific risk factors are scarce. AAA prevalence was evaluated in an Italian population including women and younger subjects, stratifying for the presence of cardiovascular disease (CVD) risk factors and CVD risk score. MATERIALS AND METHODS: A population based cross-sectional study was conducted between 2013 and 2016. Men aged 50-75 and women aged 60-75 years, resident in the city of Varese (northern Italy), were randomly selected from the civil registry. A vascular surgeon performed an abdominal aortic ultrasound scan at four sites using the leading edge to leading edge method. CVD risk score was computed using the ESC-SCORE algorithm. The age and gender specific prevalence was estimated, stratifying by the presence of CVD and cardiovascular risk factors. RESULTS: Among the 3755 subjects with a valid ultrasound measurement, 63 subjects with an AAA were identified (5 referred for surgical intervention), among whom 34 were not previously known (30 men 1.3%, 95% CI 0.9-1.8; 4 women 0.3%, 95% CI 0.1-0.8). Considering age classes in men only, the highest prevalence of screen detected AAA was found in subjects aged 65-70 (1.2%; 95% CI 0.4-2.5) and 70-75 (2.5%; 95% CI 1.4-4.0) years. Among 65-75 year old men, the highest AAA prevalence was found in subjects with a previous myocardial infarction (MI 4.9%, 95% CI 2.0-9.9) and in ever-smokers reporting more than 15 pack years of smoking (4.1%, 95% CI 2.5-6.3). Among the younger subjects, those having an ESC-SCORE higher than 5% or a previous CVD (MI or stroke) showed a prevalence of 1.4% (95% CI 0.3-4.2; prevalence including subaneurysms 6.7%, 95% CI 3.7-11.0%). CONCLUSIONS: In the study population, both a general screening program in 65-75 year old men and an approach targeted to subgroups at higher risk merit evaluation in a cost-effectiveness study. In 50-64 year old men, strategies for population selection should consider CVD risk stratification tools.

Monitoring quality of care in acute myocardial infarction patients using retrospective registry data.

BACKGROUND: Hospital-based registries provide a key contribution in assessing the quality of care in acute myocardial infarction (MI) patients, although some concern on selection bias of included cases has recently arisen. We investigated the feasibility of a retrospective, population-based registry of MIs in monitoring the quality of care. METHODS: We identified all the hospitalizations with a diagnosis of acute MI among 35-79 years old residents in the Varese province, Northern Italy, in 2007-2008. Information needed to define performance according to the American Heart Association set was extracted from hospital case histories. To characterize our approach, we focus on data completeness for critical event times and eligibility criteria, and on the analysis of ST-elevated MI (STEMI) patients according to received reperfusion treatment. RESULTS: Exact time of hospital admission and of percutaneous coronary angioplasty (PCI) procedure was available in 96% and 77% of MIs, with no difference between non-transferred (n = 1399) and inter-hospital transferred (n = 300) patients. Data completeness for eligibility to action/treatment criteria was >90% for each performance measure except statin prescription at discharge (76%). About 45% of STEMI experienced a delay in PCI-capable hospital arrival, and only one every three ST-elevated MI patients received primary PCI; these were more likely to be younger male cases with less comorbidities than un-treated patients. CONCLUSIONS: Complementary to clinical registries, the retrospective population-based is a feasible approach which allows monitoring the entire pattern of care of all hospitalized MI patients independent of their clinical characteristics.

Lipoprotein(a) and the risk of cardiovascular disease in the European population: results from the BiomarCaRE consortium.

AIMS: As promising compounds to lower Lipoprotein(a) (Lp(a)) are emerging, the need for a precise characterization and comparability of the Lp(a)-associated cardiovascular risk is increasing. Therefore, we aimed to evaluate the distribution of Lp(a) concentrations across the European population, to characterize the association with cardiovascular outcomes and to provide high comparability of the Lp(a)-associated cardiovascular risk by use of centrally determined Lp(a) concentrations. METHODS AND RESULTS: Based on the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE)-project, we analysed data of 56 804 participants from 7 prospective population-based cohorts across Europe with a maximum follow-up of 24 years. All Lp(a) measurements were performed in the central BiomarCaRE laboratory (Biokit Quantia Lp(a)-Test; Abbott Diagnostics). The three endpoints considered were incident major coronary events (MCE), incident cardiovascular disease (CVD) events, and total mortality. We found lower Lp(a) levels in Northern European cohorts (median 4.9 mg/dL) compared to central (median 7.9 mg/dL) and Southern European cohorts (10.9 mg/dL) (Jonckheere-Terpstra test P < 0.001). Kaplan-Meier curves showed the highest event rate of MCE and CVD events for Lp(a) levels ≥90th percentile (log-rank test: P < 0.001 for MCE and CVD). Cox regression models adjusted for age, sex, and cardiovascular risk factors revealed a significant association of Lp(a) levels with MCE and CVD with a hazard ratio (HR) of 1.30 for MCE [95% confidence interval (CI) 1.15‒1.46] and of 1.25 for CVD (95% CI 1.12‒1.39) for Lp(a) levels in the 67‒89th percentile and a HR of 1.49 for MCE (95% CI 1.29‒1.73) and of 1.44 for CVD (95% CI 1.25‒1.65) for Lp(a) levels ≥ 90th percentile vs. Lp(a) levels in the lowest third (P < 0.001 for all). There was no significant association between Lp(a) levels and total mortality. Subgroup analysis for a continuous version of cube root transformed Lp(a) identified the highest Lp(a)-associated risk in individuals with diabetes [HR for MCE 1.31 (95% CI 1.15‒1.50)] and for CVD 1.22 (95% CI 1.08‒1.38) compared to those without diabetes [HR for MCE 1.15 (95% CI 1.08‒1.21; HR for CVD 1.13 (1.07-1.19)] while no difference of the Lp(a)- associated risk were seen for other cardiovascular high risk states. The addition of Lp(a) levels to a prognostic model for MCE and CVD revealed only a marginal but significant C-index discrimination measure increase (0.001 for MCE and CVD; P < 0.05) and net reclassification improvement (0.010 for MCE and 0.011 for CVD). CONCLUSION: In this large dataset on harmonized Lp(a) determination, we observed regional differences within the European population. Elevated Lp(a) was robustly associated with an increased risk for MCE and CVD in particular among individuals with diabetes. These results may lead to better identification of target populations who might benefit from future Lp(a)-lowering therapies.

Is musculoskeletal pain a consequence or a cause of occupational stress? A longitudinal study.

OBJECTIVES: Longitudinal studies have linked stress at work with a higher incidence of musculoskeletal pain. We aimed to explore the extent to which musculoskeletal pain is a cause as opposed to a consequence of perceived occupational stress. METHODS: As part of the international cultural and psychosocial influences on disability study, we collected information from 305 Italian nurses, at baseline and again after 12 months, about pain during the past month in the low-back and neck/shoulder, and about effort-reward imbalance (ERI) (assessed by Siegrist's ERI questionnaire). Poisson regression was used to assess the RR of ERI >1 at follow-up according to the report of pain and of ERI >1 at baseline. RESULTS: Among nurses with ERI ≤1 at baseline, ERI >1 at follow-up was associated with baseline report of pain in the low-back (RR 2.7, 95 % CI 1.4-5.0) and neck/shoulder (RR 2.6, 95 % CI 1.3-5.1). However, there was no corresponding association with persistence of ERI in nurses who already had ERI >1 at baseline. Associations of ERI at baseline with pain at follow-up were weak. CONCLUSION: Our results suggest that the well-documented association between job stress and musculoskeletal pain is not explained entirely by an effect of stress on reporting of pain. It appears also that workers who report musculoskeletal pain are more likely to develop subsequent perceptions of stress. This may be because pain renders people less tolerant of the psychological demands of work. Another possibility is that reports of pain and stress are both manifestations of a general tendency to be aware of and complain about symptoms and difficulties.

Impact of Lipoprotein(a) Level on Low-Density Lipoprotein Cholesterol- or Apolipoprotein B-Related Risk of Coronary Heart Disease.

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.

Biomarker-based prediction of fatal and non-fatal cardiovascular outcomes in individuals with diabetes mellitus.

AIMS: The role of biomarkers in predicting cardiovascular outcomes in high-risk individuals is not well established. We aimed to investigate benefits of adding biomarkers to cardiovascular risk assessment in individuals with and without diabetes. METHODS AND RESULTS: We used individual-level data of 95 292 individuals of the European population harmonized in the Biomarker for Cardiovascular Risk Assessment across Europe consortium and investigated the prognostic ability of high-sensitivity cardiac troponin I (hs-cTnI), N-terminal prohormone of brain natriuretic peptide (NT-proBNP), and high-sensitivity C-reactive protein (hs-CRP). Cox-regression models were used to determine adjusted hazard ratios of diabetes and log-transformed biomarkers for fatal and non-fatal cardiovascular events. Models were compared using the likelihood ratio test. Stratification by specific biomarker cut-offs was performed for crude time-to-event analysis using Kaplan-Meier plots. Overall, 6090 (6.4%) individuals had diabetes at baseline, median follow-up was 9.9 years. Adjusting for classical risk factors and biomarkers, diabetes [HR 2.11 (95% CI 1.92, 2.32)], and all biomarkers (HR per interquartile range hs-cTnI 1.08 [95% CI 1.04, 1.12]; NT-proBNP 1.44 [95% CI 1.37, 1.53]; hs-CRP 1.27 [95% CI 1.21, 1.33]) were independently associated with cardiovascular events. Specific cut-offs for each biomarker identified a high-risk group of individuals with diabetes losing a median of 15.5 years of life compared to diabetics without elevated biomarkers. Addition of biomarkers to the Cox-model significantly improved the prediction of outcomes (likelihood ratio test for nested models P < 0.001), accompanied by an increase in the c-index (increase to 0.81). CONCLUSION: Biomarkers improve cardiovascular risk prediction in individuals with and without diabetes and facilitate the identification of individuals with diabetes at highest risk for cardiovascular events.

In this work, the role of cardiac biomarkers measured from blood to predict cardiovascular events and death is tested in individuals of the general population and particularly in those with known diabetes. The work is based on a cooperation of different population studies across Europe and includes more than 90 000 individuals, with more than 6000 having diabetes. We could demonstrate that the determination of three cardiac biomarkers helps to identify individuals at highest risk for cardiovascular events (e.g. myocardial infarction or stroke) and death, despite accounting for known cardiovascular risk factors in these individuals. Therefore, these biomarkers should be considered for routine risk assessment for cardiovascular diseases and could improve the early identification of high-risk individuals, consequently leading to an earlier initiation of preventive therapies.

Pro-inflammatory genetic profile and familiarity of acute myocardial infarction.

BACKGROUND: Acute myocardial infarction (AMI) is a multifactorial disease with a complex pathogenesis where lifestyle, individual genetic background and environmental risk factors are involved. Altered inflammatory responses are implicated in the pathogenesis of atherosclerosis and a premature AMI of parents is associated with an increased risk of the disease in their offspring (Offs). However, the genetic background of familiarity for AMI is still largely unknown. To understand which genes may predispose to increased risk of cardiovascular disease gene polymorphism of immune regulatory genes, and clinical events from the Offs of parents with an early AMI were investigated. Genetics data from Offs were compared with those obtained from healthy subjects and an independent cohort of patients with clinical sporadic AMI. Rates of clinical events during a 24 years follow up from Offs and from an independent Italian population survey were also evaluated. RESULTS: This study showed that a genetic signature consisting of the concomitant presence of the CC genotype of VEGF, the A allele of IL-10 and the A allele of IFN-γ was indeed present in the Offs population. In fact, the above genetic markers were more frequent in unaffected Offs (46.4%) and patients with sporadic AMI (31.8%) than in the CTR (17.3%) and the differences were highly statistically significant (Offs vs CTR: p = 0.0001, OR = 4.129; AMI vs CTR: p = 0.0001, OR = 2.224). During the 24-year follow-up, Offs with a positive familiarity in spite of a relatively young age showed an increased prevalence of diabetes, ischemic heart disease and stroke. These findings reinforce the notion that subjects with a familial history of AMI are at risk of an accelerated aging of cardiovascular system resulting in cardiovascular events. CONCLUSION: Our data suggest that selected genes with immune regulatory functions are part of the complex genetic background contributing to familiarity for cardiovascular diseases. This inflammatory genetic profile, along with classical cardiovascular risk factors, may be used for better defining individual risk of AMI in unaffected subjects.

Measures of abdominal adiposity and the risk of stroke: the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) study.

BACKGROUND AND PURPOSE: Excess fat accumulates in the subcutaneous and visceral adipose tissue compartments. We tested the hypothesis that indicators of visceral adiposity, namely, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR), are better predictors of stroke risk than body mass index (BMI). METHODS: The association of BMI, WC, WHR, and WHtR with stroke was assessed in 31,201 men and 23,516 women, free of vascular disease at baseline, from the MOnica Risk, Genetics, Archiving and Monograph (MORGAM) study. During a mean follow-up of 11 years, 1130 strokes were recorded. Relative risks (95% CI) were calculated by Cox regression after stratification for center and adjustment for age, smoking, educational level, alcohol consumption, hypertension, diabetes, total cholesterol, high-density lipoprotein cholesterol, and BMI and model fit was assessed using log-likelihoods. RESULTS: BMI, WC, WHR, and WHtR were associated with the risk of stroke in men. After full adjustment including BMI, the relative risks for stroke remained significant for WC (1.19 [1.02 to 1.34] per 1 SD increase in WC), WHR (1.14 [1.03 to 1.26]), and WHtR (1.50 [1.28 to 1.77]). Among women, the extent of the associations with stroke risk was similar for WHtR (1.31 [1.04 to 1.65]), WC (1.19 [0.96 to 1.47]), and WHR (1.08 [0.97 to 1.22]). Further analyses by World Health Organization obesity categories showed that WC, WHR, and WHtR were associated with the risk of stroke also in lean men and women (BMI<25 kg/m2), independently of confounders, cardiovascular risk factors, and BMI. CONCLUSIONS: Indicators of abdominal adiposity, especially WHtR, are more strongly associated with stroke risk than BMI. These results emphasize the importance of measuring abdominal adiposity, especially in lean subjects.