Dutch cardio-oncology cohort: Incident cardiovascular disease predisposes to a higher cancer mortality rate

BACKGROUND

Cardiovascular disease (CVD) and cancer are the two leading causes of death worldwide. Given their high prevalence, it is important to understand the disease burden of cancer mortality in CVD patients.

OBJECTIVE

We aimed to evaluate whether patients with incident CVD have a higher risk of malignancy-related mortality, compared to the general population without CVD.

METHODS

We performed a national population-based cohort study selecting patients with incident CVD in the Netherlands between 01 April 2000 and 31 December 2005. A reference cohort was selected from the Dutch population using age, sex and ethnicity. Mortality follow-up data were evaluated after data linkage of national registries from Statistics Netherlands until 31 December 2020.

RESULTS

A total of 2,240,879 individuals were selected with a mean follow-up of 12 years (range 0.4-21.0), of which 738,666 patients with incident CVD with a mean age of 71 ± 15 years. Malignancy mortality per 1000 person years was 84 for the reference group and 118 for patients with CVD, with the highest rate of 258 in patients with heart failure. Patients with CVD had a higher malignancy mortality risk, compared to the reference group: HR 1.35 (95%CI 1.33-1.36). Highest risks were observed in patients with venous diseases (HR 2.27, 95%CI 2.17-2.36) and peripheral artery disease (HR 1.87, 95%CI 1.84-2.01).

CONCLUSION

Results show that CVD predisposes to a higher cancer mortality rate. Of all CVD subtypes, HF patients have the highest cancer mortality rate and the hazards were highest in patients with venous diseases and peripheral artery disease.

Sex Differences in Mortality Risk after the First Hospitalisation due to Lower Extremity Peripheral Arterial Disease

OBJECTIVE

Lower extremity peripheral arterial disease (PAD) is a severe condition that increases the risk of major adverse cardiovascular events, major adverse limb events, and all cause mortality. This study aimed to investigate the mortality risk among females and males hospitalised for the first time due to lower extremity PAD.

METHODS

Three cohorts of patients who were admitted for the first time due to lower extremity PAD in 2007 - 2010, 2011 - 2014, and 2015 - 2018 were constructed. For the 2007 - 2010 and 2011 - 2014 cohorts, the 28 day, one year, and five year mortality were calculated, assessing survival time from date of hospital admission until date of death, end of study period, or censoring. For the 2015 - 2018 cohort, only 28 day and one year mortality were investigated due to lack of follow up data. Mortality of these cohorts was compared with the general population using standardised mortality rates (SMRs), and the risk of mortality between sexes was evaluated using Cox proportional hazards models. Cox models were adjusted for age, cardiovascular disease, and diabetes mellitus to account for potential confounding factors.

RESULTS

In total, 7 950, 9 670, and 13 522 patients were included in the 2007 - 2010, 2011 - 2014, and 2015 - 2018 cohorts, respectively. Over 60% of individuals in each cohort were male. Mortality rates at 28 day and one year remained stable across all cohorts, while the five year mortality rate increased both for males and females in the 2011 - 2014 cohort. The SMRs both of females and males with PAD were significantly higher than in the general population. Multivariable regression analyses found no significant differences in mortality risk between sexes at 28 days and one year. However, the five year mortality risk was lower in females, with a hazard ratio of 0.89 (95% confidence interval [CI] 0.83 - 0.97) in the 2007 - 2010 cohort and 0.88 (95% CI 0.82 - 0.94) in the 2011 - 2014 cohort.

CONCLUSION

The five year mortality risk has increased, and females face a lower mortality risk than males. Lower extremity PAD still carries unfavourable long term consequences compared with the general population.

Does Heterogeneity Exist in Treatment Associations With Renin-Angiotensin-System Inhibitors or Beta-blockers According to Phenotype Clusters in Heart Failure with Preserved Ejection Fraction?

BACKGROUND

We explored the association between use of renin-angiotensin system inhibitors and beta-blockers, with mortality/morbidity in 5 previously identified clusters of patients with heart failure with preserved ejection fraction (HFpEF).

METHODS AND RESULTS

We analyzed 20,980 patients with HFpEF from the Swedish HF registry, phenotyped into young-low comorbidity burden (12%), atrial fibrillation-hypertensive (32%), older-atrial fibrillation (24%), obese-diabetic (15%), and a cardiorenal cluster (17%). In Cox proportional hazard models with inverse probability weighting, there was no heterogeneity in the association between renin-angiotensin system inhibitor use and cluster membership for any of the outcomes: cardiovascular (CV) mortality, all-cause mortality, HF hospitalisation, CV hospitalisation, or non-CV hospitalisation. In contrast, we found a statistical interaction between beta-blocker use and cluster membership for all-cause mortality (P = .03) and non-CV hospitalisation (P = .001). In the young-low comorbidity burden and atrial fibrillation-hypertensive cluster, beta-blocker use was associated with statistically significant lower all-cause mortality and non-CV hospitalisation and in the obese-diabetic cluster beta-blocker use was only associated with a statistically significant lower non-CV hospitalisation. The interaction between beta-blocker use and cluster membership for all-cause mortality could potentially be driven by patients with improved EF. However, patient numbers were diminished when excluding those with improved EF and the direction of the associations remained similar.

CONCLUSIONS

In patients with HFpEF, the association with all-cause mortality and non-CV hospitalisation was heterogeneous across clusters for beta-blockers. It remains to be elucidated how heterogeneity in HFpEF could influence personalized medicine and future clinical trial design.

The neighourhood obesogenic built environment characteristics (OBCT) index: Practice versus theory

BACKGROUND

Obesity is a key risk factor for major chronic diseases such as type 2 diabetes and cardiovascular diseases. To extensively characterise the obesogenic built environment, we recently developed a novel Obesogenic Built environment CharacterisTics (OBCT) index, consisting of 17 components that capture both food and physical activity (PA) environments.

OBJECTIVES

We aimed to assess the association between the OBCT index and body mass index (BMI) in a nationwide health monitor. Furthermore, we explored possible ways to improve the index using unsupervised and supervised methods.

METHODS

The OBCT index was constructed for 12,821 Dutch administrative neighbourhoods and linked to residential addresses of eligible adult participants in the 2016 Public Health Monitor. We split the data randomly into a training (two-thirds; n = 255,187) and a testing subset (one-third; n = 127,428). In the training set, we used non-parametric restricted cubic regression spline to assess index's association with BMI, adjusted for individual demographic characteristics. Effect modification by age, sex, socioeconomic status (SES) and urbanicity was examined. As improvement, we (1) adjusted the food environment for address density, (2) added housing price to the index and (3) adopted three weighting strategies, two methods were supervised by BMI (variable selection and random forest) in the training set. We compared these methods in the testing set by examining their model fit with BMI as outcome.

RESULTS

The OBCT index had a significant non-linear association with BMI in a fully-adjusted model (p<0.05), which was modified by age, sex, SES and urbanicity. However, variance in BMI explained by the index was low (<0.05%). Supervised methods increased this explained variance more than non-supervised methods, though overall improvements were limited as highest explained variance remained <0.5%.

DISCUSSION

The index, despite its potential to highlight disparity in obesogenic environments, had limited association with BMI. Complex improvements are not necessarily beneficial, and the components should be re-operationalised.

Ethnic and socioeconomic inequalities in air pollution exposure: a cross-sectional analysis of nationwide individual-level data from the Netherlands

BACKGROUND

Air pollution contributes to a large disease burden and some populations are disproportionately exposed. We aimed to evaluate ethnic and socioeconomic differences in exposure to air pollution in the Netherlands.

METHODS

We did a nationwide, cross-sectional analysis of all residents of the Netherlands on Jan 1, 2019. Sociodemographic information was centralised by Statistics Netherlands and mainly originated from the National Population Register, the tax register, and education registers. Concentrations of NO2, PM2·5, PM10, and elemental carbon, modelled by the National Institute for Public Health and the Environment, were linked to the individual-level demographic data. We assessed differences in air pollution exposures across the 40 largest minority ethnic groups. Evaluation of how ethnicity intersected with socioeconomic position in relation to exposures was done for the ten largest ethnic groups, plus Chinese and Indian groups, in both urban and rural areas using multivariable linear regression analyses.

FINDINGS

The total study population consisted of 17 251 511 individuals. Minority ethnic groups were consistently exposed to higher levels of air pollution than the ethnic Dutch population. The magnitude of inequalities varied between the minority ethnic groups, with 3-44% higher exposures to NO2 and 1-9% higher exposures to PM2·5 compared with the ethnic Dutch group. Average exposures were highest for the lowest socioeconomic group. Ethnic inequalities in exposure remained after adjustment for socioeconomic position and were of similar magnitude in urban and rural areas.

INTERPRETATION

The variability in air pollution exposure across ethnic and socioeconomic subgroups in the Netherlands indicates environmental injustice at the intersection of social characteristics. The health consequences of the observed inequalities and the underlying processes driving them warrant further investigation.

FUNDING

The Gravitation programme of the Dutch Ministry of Education, Culture, and Science, the Netherlands Organization for Scientific Research, the Netherlands Organisation for Health Research and Development, and Amsterdam University Medical Center.

The built environment and cardiovascular disease: an umbrella review and meta-meta-analysis

AIMS

To provide a comprehensive overview of the current evidence on objectively measured neighbourhood built environment exposures in relation to cardiovascular disease (CVD) events in adults.

METHODS AND RESULTS

We searched seven databases for systematic reviews on associations between objectively measured long-term built environmental exposures, covering at least one domain (i.e. outdoor air pollution, food environment, physical activity environment like greenspace and walkability, urbanization, light pollution, residential noise, and ambient temperature), and CVD events in adults. Two authors extracted summary data and assessed the risk of bias independently. Robustness of evidence was rated based on statistical heterogeneity, small-study effect, and excess significance bias. Meta-meta-analyses were conducted to combine the meta-analysis results from reviews with comparable exposure and outcome within each domain. From the 3304 initial hits, 51 systematic reviews were included, covering 5 domains and including 179 pooled estimates. There was strong evidence of the associations between increased air pollutants (especially PM2.5 exposure) and increased residential noise with greater risk of CVD. Highly suggestive evidence was found for an association between increased ambient temperature and greater risk of CVD. Systematic reviews on physical activity environment, food environment, light pollution, and urbanization in relation to CVD were scarce or lacking.

CONCLUSION

Air pollutants, increased noise levels, temperature, and greenspace were associated with CVD outcomes. Standardizing design and exposure assessments may foster the synthesis of evidence. Other crucial research gaps concern the lack of prospective study designs and lack of evidence from low-to-middle-income countries (LMICs).

REGISTRATION

PROSPERO: CRD42021246580.

Discovering Distinct Phenotypical Clusters in Heart Failure Across the Ejection Fraction Spectrum: a Systematic Review

REVIEW PURPOSE

This systematic review aims to summarise clustering studies in heart failure (HF) and guide future clinical trial design and implementation in routine clinical practice.

FINDINGS

34 studies were identified (n = 19 in HF with preserved ejection fraction (HFpEF)). There was significant heterogeneity invariables and techniques used. However, 149/165 described clusters could be assigned to one of nine phenotypes: 1) young, low comorbidity burden; 2) metabolic; 3) cardio-renal; 4) atrial fibrillation (AF); 5) elderly female AF; 6) hypertensive-comorbidity; 7) ischaemic-male; 8) valvular disease; and 9) devices. There was room for improvement on important methodological topics for all clustering studies such as external validation and transparency of the modelling process. The large overlap between the phenotypes of the clustering studies shows that clustering is a robust approach for discovering clinically distinct phenotypes. However, future studies should invest in a phenotype model that can be implemented in routine clinical practice and future clinical trial design. HF = heart failure, EF = ejection fraction, HFpEF = heart failure with preserved ejection fraction, HFrEF = heart failure with reduced ejection fraction, CKD = chronic kidney disease, AF = atrial fibrillation, IHD = ischaemic heart disease, CAD = coronary artery disease, ICD = implantable cardioverter-defibrillator, CRT = cardiac resynchronization therapy, NT-proBNP = N-terminal pro b-type natriuretic peptide, BMI = Body Mass Index, COPD = Chronic obstructive pulmonary disease.

Overcoming ethical and legal obstacles to data linkage in health research: stakeholder perspectives

Introduction

Data linkage for health research purposes enables the answering of countless new research questions, is said to be cost effective and less intrusive than other means of data collection. Nevertheless, health researchers are currently dealing with a complicated, fragmented, and inconsistent regulatory landscape with regard to the processing of data, and progress in health research is hindered.

Aim

We designed a qualitative study to assess what different stakeholders perceive as ethical and legal obstacles to data linkage for health research purposes, and how these obstacles could be overcome.

Methods

Two focus groups and eighteen semi-structured in-depth interviews were held to collect opinions and insights of various stakeholders. An inductive thematic analysis approach was used to identify overarching themes.

Results

This study showed that the ambiguity regarding the 'correct' interpretation of the law, the fragmentation of policies governing the processing of personal health data, and the demandingness of legal requirements are experienced as causes for the impediment of data linkage for research purposes by the participating stakeholders. To remove or reduce these obstacles authoritative interpretations of the laws and regulations governing data linkage should be issued. The participants furthermore encouraged the harmonisation of data linkage policies, as well as promoting trust and transparency and the enhancement of technical and organisational measures. Lastly, there is a demand for legislative and regulatory modifications amongst the participants.

Conclusions

To overcome the obstacles in data linkage for scientific research purposes, perhaps we should shift the focus from adapting the current laws and regulations governing data linkage, or even designing completely new laws, towards creating a more thorough understanding of the law and making better use of the flexibilities within the existing legislation. Important steps in achieving this shift could be clarification of the legal provisions governing data linkage by issuing authoritative interpretations, as well as the strengthening of ethical-legal oversight bodies.

Risk factors in cardiovascular patients: Challenges and opportunities to improve secondary prevention

BACKGROUND

Effective management of major cardiovascular risk factors is of great importance to reduce mortality from cardiovascular disease (CVD). The Survey of Risk Factors in Coronary Heart Disease (SURF CHD) II study is a clinical audit of the recording and management of CHD risk factors. It was developed in collaboration with the European Association of Preventive Cardiology and the European Society of Cardiology (ESC). Previous studies have shown that control of major cardiovascular risk factors in patients with established atherosclerotic CVD is generally inadequate. Azerbaijan is a country in the South Caucasus, a region at a very high risk for CVD.

AIM

To assess adherence to ESC recommendations for secondary prevention of CVD based on the measurement of both modifiable major risk factors and their therapeutic management in patients with confirmed CHD at different hospitals in Baku (Azerbaijan).

METHODS

Six tertiary health care centers participated in the SURF CHD II study between 2019 and 2021. Information on demographics, risk factors, physical and laboratory data, and medications was collected using a standard questionnaire in consecutive patients aged ≥ 18 years with established CHD during outpatient visits. Data from 687 patients (mean age 59.6 ± 9.58 years; 24.9% female) were included in the study.

RESULTS

Only 15.1% of participants were involved in cardiac rehabilitation programs. The rate of uncontrolled risk factors was high: Systolic blood pressure (BP) (SBP) (54.6%), low-density lipoprotein cholesterol (LDL-C) (86.8%), diabetes mellitus (DM) (60.6%), as well as overweight (66.6%) and obesity (25%). In addition, significant differences in the prevalence and control of some risk factors [smoking, body mass index (BMI), waist circumference, blood glucose (BG), and SBP] between female and male participants were found. The cardiovascular health index score (CHIS) was calculated from the six risk factors: Non- or ex-smoker, BMI < 25 kg/m2, moderate/vigorous physical activity, controlled BP (< 140/90 mmHg; 140/80 mmHg for patients with DM), controlled LDL-C (< 70 mg/dL), and controlled BG (glycohemoglobin < 7% or BG < 126 mg/dL). Good, intermediate, and poor categories of CHIS were identified in 6%, 58.3%, and 35.7% of patients, respectively (without statistical differences between female and male patients).

CONCLUSION

Implementation of the current ESC recommendations for CHD secondary prevention and, in particular, the control rate of BP, are insufficient. Given the fact that patients with different comorbid pathologies are at a very high risk, this is of great importance in the management of such patients. This should be taken into account by healthcare organizers when planning secondary prevention activities and public health protection measures, especially in the regions at a high risk for CVD. A wide range of educational products based on the Clinical Practice Guidelines should be used to improve the adherence of healthcare professionals and patients to the management of CVD risk factors.

Identifying distinct clinical clusters in heart failure with mildly reduced ejection fraction

INTRODUCTION

Heart failure (HF) is a heterogeneous syndrome, and the specific sub-category HF with mildly reduced ejection fraction (EF) range (HFmrEF; 41-49% EF) is only recently recognized as a distinct entity. Cluster analysis can characterize heterogeneous patient populations and could serve as a stratification tool in clinical trials and for prognostication. The aim of this study was to identify clusters in HFmrEF and compare cluster prognosis.

METHODS AND RESULTS

Latent class analysis to cluster HFmrEF patients based on their characteristics was performed in the Swedish HF registry (n = 7316). Identified clusters were validated in a Dutch cross-sectional HF registry-based dataset CHECK-HF (n = 1536). In Sweden, mortality and hospitalisation across the clusters were compared using a Cox proportional hazard model, with a Fine-Gray sub-distribution for competing risks and adjustment for age and sex. Six clusters were discovered with the following prevalence and hazard ratio with 95% confidence intervals (HR [95%CI]) vs. cluster 1: 1) low-comorbidity (17%, reference), 2) ischaemic-male (13%, HR 0.9 [95% CI 0.7-1.1]), 3) atrial fibrillation (20%, HR 1.5 [95% CI 1.2-1.9]), 4) device/wide QRS (9%, HR 2.7 [95% CI 2.2-3.4]), 5) metabolic (19%, HR 3.1 [95% CI 2.5-3.7]) and 6) cardio-renal phenotype (22%, HR 2.8 [95% CI 2.2-3.6]). The cluster model was robust between both datasets.

CONCLUSION

We found robust clusters with potential clinical meaning and differences in mortality and hospitalisation. Our clustering model could be valuable as a clinical differentiation support and prognostic tool in clinical trial design.

Sex Differences in the Generalizability of Randomized Clinical Trials in Heart Failure with Reduced Ejection Fraction

AIMS

To understand how sex differences impact the generalizability of randomized controlled trials (RCTs) in patients with heart failure and reduced ejection fraction (HFrEF, we sought to compare clinical characteristics and clinical outcomes between RCTs and HF observational registries stratified by sex.

METHODS AND RESULTS

Data from 2 HF registries and 5 HFrEF RCTs were used to create three subpopulations: one RCT population (n=16,917; 21.7% females), registry patients eligible for RCT inclusion (n=26,104; 31.8% females), and registry patients ineligible for RCT inclusion (n=20,910; 30.2% females). Clinical endpoints included all-cause mortality, CV mortality, and first HF hospitalization at one-year. Males and females were equally eligible for trial enrollment (56.9% of females and 55.1% of males in the registries). One-year mortality rates were 5.6%, 14.0%, and 28.6% for females and 6.9%, 10.7%, and 24.6% for males in the RCT, RCT-eligible, and RCT-ineligible groups. After adjusting for 11 HF prognostic variables, RCT females showed higher survival compared to RCT-eligible females (Standardized mortality ratio (SMR) 0.72; 95% CI 0.62 - 0.83), while RCT males showed higher adjusted mortality rates compared to RCT-eligible males (SMR 1.16; 95% CI 1.09-1.24). Similar results were also found for cardiovascular mortality (SMR 0.89; 95%CI 0.76-1.03 for females, SMR 1.43; 95%CI 1.33-1.53 for males).

CONCLUSION

Generalizability of HFrEF RCTs differed substantially between the sexes, with females having lower trial participation and females trial participants having lower mortality rates compared to similar females in the registries, while males had higher than expected cardiovascular mortality rates in RCTs compared to similar males in registries. This article is protected by copyright. All rights reserved.

Risk factor clustering in men and women with CHD in the Southern Cone of Latin America

Background

Presence of multiple risk factors (RF) increases the risk for cardiovascular morbidity and mortality, and this is especially important in patients with coronary heart disease (CHD). The current study investigates sex differences in the presence of multiple cardiovascular RF in subjects with established CHD in the southern Cone of Latin America.

Methods

We analyzed cross-sectional data from the 634 participants aged 35-74 with CHD from the community-based CESCAS Study. We calculated the prevalence for counts of cardiometabolic (hypertension, dyslipidemia, obesity, diabetes) and lifestyle (current smoking, unhealthy diet, low physical activity, excessive alcohol consumption) RF. Differences in RF number between men and women were tested with age-adjusted Poisson regression. We identified the most common RF combinations among participants with ≥4 RF. We performed a subgroup analysis by educational level.

Results

The prevalence of cardiometabolic RF ranged from 76.3% (hypertension) to 26.8% (diabetes), and the prevalence of lifestyle RF from 81.9% (unhealthy diet) to 4.3% (excessive alcohol consumption). Obesity, central obesity, diabetes and low physical activity were more common in women, while excessive alcohol consumption and unhealthy diet were more common in men. Close to 85% of women and 81.5% of men presented with ≥4 RF. Women presented with a higher number of overall (relative risk (RR) 1.05, 95% CI 1.02-1.08) and cardiometabolic RF (1.17, 1.09-1.25). These sex differences were found in participants with primary education (RR women overall RF 1.08, 1.00-1.15, cardiometabolic RF 1.23, 1.09-1.39), but were diluted in those with higher educational attainment. The most common RF combination was hypertension/dyslipidemia/obesity/unhealthy diet.

Conclusion

Overall, women showed a higher burden of multiple cardiovascular RF. Sex differences persisted in participants with low educational attainment, and women with low educational level had the highest RF burden.

Neighbourhood walkability in relation to cognitive functioning in patients with disorders along the heart-brain axis

This study examined associations of neighbourhood walkability with cognitive functioning (i.e., global cognition, memory, language, attention-psychomotor speed, and executive functioning) in participants without or with either heart failure, carotid occlusive disease, or vascular cognitive impairment. Neighbourhood walkability at baseline was positively associated with global cognition and attention-psychomotor speed. These associations were stronger in patients with vascular cognitive impairment. Individuals who live in residential areas with higher walkability levels were less likely to have impairments in language and executive functioning at two-year follow-up. These findings highlight the importance of the built environment for cognitive functioning in healthy and vulnerable groups.

Development of a neighborhood obesogenic built environment characteristics index for the Netherlands

OBJECTIVE

Environmental factors that drive obesity are often studied individually, whereas obesogenic environments are likely to consist of multiple factors from food and physical activity (PA) environments. This study aimed to compose and describe a comprehensive, theory-based, expert-informed index to quantify obesogenicity for all neighborhoods in the Netherlands.

METHODS

The Obesogenic Built Environment CharacterisTics (OBCT) index consists of 17 components. The index was calculated as an average of componential scores across both food and PA environments and was scaled from 0 to 100. The index was visualized and summarized with sensitivity analysis for weighting methods.

RESULTS

The OBCT index for all 12,821 neighborhoods was right-skewed, with a median of 44.6 (IQR = 10.1). Obesogenicity was lower in more urbanized neighborhoods except for the extremely urbanized neighborhoods (>2500 addresses/km² ), where obesogenicity was highest. The overall OBCT index score was moderately correlated with the food environment (Spearman ρ = 0.55, p <0.05) and with the PA environment (ρ = 0.38, p <0.05). Hierarchical weighting increased index correlations with the PA environment but decreased correlations with the food environment.

CONCLUSIONS

The novel OBCT index and its comprehensive environmental scores are potentially useful tools to quantify obesogenicity of neighborhoods.

Ethnic and socioeconomic inequalities in relation to air pollution exposure in the Netherlands

Background

Air pollution (AP) contributes to a large disease burden and some populations are disproportionately exposed. It is unclear to what extent AP exposure differs across ethnic groups in the Netherlands and how this intersects with socioeconomic position (SEP). First, we identified differences in AP exposures between ethnic groups in the Netherlands. Second, we examined the interrelationships between ethnicity and SEP in relation to AP exposures.

Methods

We assessed AP exposures for residents of the Netherlands in 2019 (N = 17,251,511). Home address AP levels were estimated by dispersion models of the National Institute of Public Health and the Environment (RIVM). We linked exposure estimations of particulate matter &lt;10 or &lt; 2.5 μm (PM10, PM2.5), nitrogen dioxide (NO2), and elemental carbon (EC) to demographic data gathered by Statistics Netherlands. Absolute and relative differences in AP levels across ethnic groups were assessed. We conducted multivariable linear regression analyses and estimated marginal mean exposures to evaluate differences by ethnicity, SEP, age and sex within urban and rural areas. We tested for interactions and stratified accordingly.

Results

For the 40 largest minority ethnic groups (N &gt; 18,314 per group), exposure to all pollutants was higher than for ethnic Dutch, with up to 1.5-fold differences for NO2. After stratification for urbanity and SEP, ethnic exposure inequalities persisted. For ethnic Dutch and some migrant groups, we found the lowest AP exposures in the middle SEP group (i.e. U-shaped trends), while we found linear patterns in other large migrant groups, with higher exposures at lower SEP.

Conclusions

Exposure to PM10, PM2.5, NO2, and EC was consistently higher in minority ethnic groups compared to ethnic Dutch. The association between SEP and AP levels showed different patterns between the majority ethnic Dutch and some of the largest minority ethnic groups. Further research is needed to define the equity and health implications.

Key messages

• Minority ethnic groups in the Netherlands are consistently exposed to higher levels of air pollution (PM10, PM2.5, NO2, and EC) than the ethnic Dutch population.

• Depending on the ethnic group, the association between SEP and air pollution exposure was either linear (i.e. lower exposures at higher SEP) or U-shaped (i.e. lower exposures in the middle SEP group).

Risk factor recording and management in coronary heart disease patients from 32 countries: SURF CHD II

Introduction

Patients with coronary heart disease (CHD) are at high cardiovascular risk, and controlling risk factors in this population is especially important to prevent CHD morbidity and mortality. SURF CHD (Survey of Risk factors in Coronary Heart Disease) II is a clinical audit on secondary prevention of CHD. The goals are to simplify and assess the recording and management of cardiovascular risk factors in patients with CHD.

Methods

SURF CHD II consists in a brief online survey conducted during routine outpatient visits in patients with a previous acute coronary syndrome (ACS), stable angina, percutaneous coronary intervention (PCI) or coronary artery bypass graft (CABG). Information is collected electronically on demographics, risk factor history (smoking history, physical activity), risk factor measurements (blood pressure, BMI, waist circumference), laboratory values and medication.

Risk factor targets were defined as follows: no prior smoking or having stopped smoking, practice of at least 30 minutes of moderate physical activity 3–5 times per week, BMI &lt;25 kg/m2, waist circumference &lt;94 cm in men and &lt;80 cm in women, blood pressure of &lt;140/90 mmHg (&lt;140/85 mmHg in diabetics), LDL &lt;70 mg/dL, HDL &gt;40 mg/dL in men and &gt;45 mg/dl in women, triglycerides &lt;150 mg/dL, and HbA1c &lt;7% in diabetic participants.

Results

12884 patients from 32 countries participated in SURF CHD in 5 regions: 10195 in Europe, 2048 in South-East Asia (SEA), 415 in the Americas, 210 in North Africa-Eastern Mediterranean (NAEM), and 13 in Western Pacific. All centres participating were located in urban areas and 81.6% were public

Women represented 24.6% of the participants, mean age 64.1 years (sd 11.2 years). 57.7% of the patients had a previous PCI, 50% ACS, 29.5% stable angina and 16.1% CAGB.

The percentage of risk factor recording and target attainment by region is presented in Table 1. Risk factor recording ranged from 26.8% (waist circumference) to 94.3% for blood pressure. Target attainment varied from 25.8% with a BMI &lt;25 kg/m2, to 76.3% of participants that had never smoked or had stopped smoking. The South East Asian region presented the highest percentages of risk factor target attainment for smoking, physical activity, BMI, waist circumference and LDL.

92.% of participants used antiplatelet medication, 100% antihypertensive medication and 89.4% lipid-lowering medications.

Conclusion

Risk factor recording was reasonable, but poor for some risk factors such as waist circumference and Hba1c. In line with earlier clinical audits, there is still substantial room for improvement in risk factor control in this high cardiovascular risk population. There were regional variations, with the highest level of attainment for most risk factors targets in South East Asia.

Funding Acknowledgement

Type of funding sources: Other. Main funding source(s): SURF II is conducted within the framework of the ESC Prevention of CVD Programme, led by the European Association of Preventive Cardiology (EAPC).

Data mining to retrieve smoking status from electronic health records in general practice. Eur Heart J Digit Health 2022;3:437-444. [PMID: 36712169 PMCID: PMC9707867 DOI: 10.1093/ehjdh/ztac031]

Aims

Optimize and assess the performance of an existing data mining algorithm for smoking status from hospital electronic health records (EHRs) in general practice EHRs.

Methods and results

We optimized an existing algorithm in a training set containing all clinical notes from 498 individuals (75 712 contact moments) from the Julius General Practitioners' Network (JGPN). Each moment was classified as either 'current smoker', 'former smoker', 'never smoker', or 'no information'. As a reference, we manually reviewed EHRs. Algorithm performance was assessed in an independent test set (n = 494, 78 129 moments) using precision, recall, and F1-score. Test set algorithm performance for 'current smoker' was precision 79.7%, recall 78.3%, and F1-score 0.79. For former smoker, it was precision 73.8%, recall 64.0%, and F1-score 0.69. For never smoker, it was precision 92.0%, recall 74.9%, and F1-score 0.83. On a patient level, performance for ever smoker (current and former smoker combined) was precision 87.9%, recall 94.7%, and F1-score 0.91. For never smoker, it was 98.0, 82.0, and 0.89%, respectively. We found a more narrative writing style in general practice than in hospital EHRs.

Conclusion

Data mining can successfully retrieve smoking status information from general practice clinical notes with a good performance for classifying ever and never smokers. Differences between general practice and hospital EHRs call for optimization of data mining algorithms when applied beyond a primary development setting.

Prevalence of cardioprotective medication use in coronary heart disease patients in South America: systematic review and meta-analysis

Funding Acknowledgements

Type of funding sources: None.

Introduction

Coronary heart disease (CHD) is the most common cause of death globally, and clinical guidelines recommend cardioprotective medications for patients with established CHD. Suboptimal use of these medications has been reported, but an overview from the South American region is lacking.

Purpose

Our aim is to summarize evidence on the prevalence of cardioprotective medication use for secondary prevention of CHD in South America. We also intend to explore time-trends, guideline compliance and factors associated with medication use.

Methods

We conducted a systematic review searching literature in PubMed, Embase, Cochrane, Lilacs and SciElo. We searched articles published from 2000 to 2021 that reported prevalence of secondary prevention medication use in South America. We pooled the prevalence estimates in a meta-analysis, described findings on guideline compliance, and used meta-regression models to analyse time-trends and identify factors associated with medication use.

Results

We identified 7388 publications, from which 73 were included in the review (Fig 1). Medication prevalence varied by class: beta-blockers 73.0%(95%CI 66.6%–79.1%), ACEI/ARBs 55.8% (95%CI 49.7%–61.8), antiplatelets 84.6% (95%CI 79.6%–88.5%), acetylsalicylic acid 85.1% (95%CI 79.7%–89.3%) and statins 78.5% (95%CI 70.7%–84.7%). Heterogeneity of the pooled estimates was high. Ten publications reported low medication use and nine reported adequate use. The use of beta-blockers, ACEI/ARBs and statins significantly increased from 1993 to 2020. Medication use was lower in community, public and rehabilitation settings compared to tertiary centres.

Conclusion

The use of most cardioprotective medication classes for secondary prevention of CHD in South America has increased over the last 20 years, but it could be further improved particularly in community settings.

Development of an objectively measured walkability index for the Netherlands

Background

Walkability indices have been developed and linked to behavioural and health outcomes elsewhere in the world, but not comprehensively for Europe. We aimed to 1) develop a theory-based and evidence-informed Dutch walkability index, 2) examine its cross-sectional associations with total and purpose-specific walking behaviours of adults across socioeconomic (SES) and urbanisation strata, 3) explore which walkability components drive these associations.

Methods

Components of the index included: population density, retail and service density, land use mix, street connectivity, green space, sidewalk density and public transport density. Each of the seven components was calculated for three Euclidean buffers: 150 m, 500 m and 1000 m around every 6-digit postal code location and for every administrative neighbourhood in GIS. Componential z-scores were averaged, and final indices normalized between 0 and 100. Data on self-reported demographic characteristics and walking behaviours of 16,055 adult respondents (aged 18–65) were extracted from the Dutch National Travel Survey 2017. Using Tobit regression modelling adjusted for individual- and household-level confounders, we assessed the associations between walkability and minutes walking in total, for non-discretionary and discretionary purposes. By assessing the attenuation in associations between partial indices and walking outcomes, we identified which of the seven components drive these associations. We also tested for effect modification by urbanization degree, SES, age and sex.

Results

In fully adjusted models, a 10% increase in walkability was associated with a maximum increase of 8.5 min of total walking per day (95%CI: 7.1–9.9). This association was consistent across buffer sizes and purposes of walking. Public transport density was driving the index’s association with walking outcomes. Stratified results showed that associations with minutes of non-discretionary walking were stronger in rural compared to very urban areas, in neighbourhoods with low SES compared to high SES, and in middle-aged (36–49 years) compared to young (18–35 years old) and older adults (50–65 years old).

Conclusions

The walkability index was cross-sectionally associated with Dutch adult’s walking behaviours, indicating its validity for further use in research.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12966-022-01270-8.

A Regional Burden of Sequence-Level Variation in the 22q11.2 Region Influences Schizophrenia Risk and Educational Attainment

BACKGROUND

Genomic loci where recurrent pathogenic copy number variants are associated with psychiatric phenotypes in the population may also be sensitive to the collective impact of multiple functional low-frequency single nucleotide variants (SNVs).

METHODS

We examined the cumulative impact of low-frequency, functional SNVs within the 22q11.2 region on schizophrenia risk in a discovery cohort and an independent replication cohort (N = 1933 and N = 11,128, respectively), as well as the impact on educational attainment (EA) in a third, independent, general population cohort (N = 2081). In the discovery and EA cohorts, SNVs were identified using genotyping arrays; in the replication cohort, whole-exome sequencing was available. For verification, we compared the regional SNV count for schizophrenia cases in the discovery cohort with a normative count distribution derived from a large population dataset (N = 26,500) using bootstrap procedures.

RESULTS

In both schizophrenia cohorts, an increased regional SNV burden (≥4 low-frequency SNVs) in the 22q11.2 region was associated with schizophrenia (discovery cohort: odds ratio = 7.48, p = .039; replication cohort: odds ratio = 1.92, p = .004). In the EA cohort, an increased regional SNV burden at 22q11.2 was associated with decreased EA (odds ratio = 4.65, p = .049). Comparing the SNV count for schizophrenia cases with a normative distribution confirmed the unique nature of the distribution for schizophrenia cases (p = .002).

CONCLUSIONS

In the general population, an increased burden of low-frequency, functional SNVs in the 22q11.2 region is associated with schizophrenia risk and a decrease in EA. These findings suggest that in addition to structural variation, a cumulative regional burden of low-frequency, functional SNVs in the 22q11.2 region can also have a relevant phenotypic impact.

Preventing heart failure: a position paper of the Heart Failure Association in collaboration with the European Association of Preventive Cardiology

The heart failure epidemic is growing and its prevention, in order to reduce associated hospital readmission rates and its clinical and economic burden, is a key issue in modern cardiovascular medicine. The present consensus document aims to provide practical evidence-based information to support the implementation of effective preventive measures. After reviewing the most common risk factors, an overview of the population attributable risks in different continents is presented, to identify potentially effective opportunities for prevention and to inform preventive strategies. Finally, potential interventions that have been proposed and have been shown to be effective in preventing HF are listed.

Associations between the fast-food environment and diabetes prevalence in the Netherlands: a cross-sectional study

BACKGROUND

Diabetes is a major health concern and is influenced by lifestyle, which can be affected by the neighbourhood environment. Specifically, a fast-food environment can influence eating behaviours and thus diabetes prevalence. Therefore, our aim was to assess the relationship between fast-food environment and diabetes prevalence for urban and rural environments in the Netherlands, using multiple indicators and buffer sizes.

METHODS

In this cross-sectional study, data on a nationwide sample of adults older than 19 years in the Netherlands were taken from the 2012 Dutch national health survey (from Public Health Monitor), in which participants were surveyed on topics related to health and lifestyle behaviour. Fast-food outlet exposures were determined within street-network buffers of 100 m, 400 m, 1000 m, and 1500 m around residential addresses. For each of these buffers, three indicators were calculated: presence (yes or no) of fast-food outlets, fast-food outlet density, and ratio. Logistic regression analyses were carried out to assess associations of these indicators with diabetes, adjusting for potential confounders and stratifying into urban and rural areas.

FINDINGS

387 195 adults were surveyed, 284 793 of whom were included in the study. 22 951 (8%) reported having diabetes. Fast-food outlet exposures were positively associated with diabetes prevalence. We did not observe large differences between urban and rural areas. The effect estimates were small for all indicators. For example, in the 400 m buffer in the urban environment, the odds ratio (OR) for having diabetes among people with a fast-food outlet present compared with those without, was 1·006 (95% CI 1·003-1·009) using the presence indicator. The presence indicator showed higher effect estimates and the most consistent results across buffer sizes (ranging from OR 1·005 [95% CI 1·000-1·010] with the 1000 m buffer to 1·016 [1·005-1·028] with the 1500 m buffer in urban areas and from 1·002 [0·998-1·005] with the 1500 m buffer to 1·009 [1·006-1·018] with the 100 m buffer in rural areas) compared with the density and ratio indicators.

INTERPRETATION

The results confirm the evidence that the fast-food outlet environment is a diabetes risk factor. All data included were at the individual level and the variability was ensured by the spatial distribution and number of participants. In this study, we only accounted for residential exposure because we were unable to account for exposure outside the residential environment. The findings of this study encourage local governments to consider the potential adverse effects of fast-food exposures and aim at minimising unhealthy food access.

FUNDING

Global Geo Health Data Centre, Utrecht University, Netherlands.

Preventing heart failure: a position paper of the Heart Failure Association in collaboration with the European Association of Preventive Cardiology

The heart failure epidemic is growing and its prevention, in order to reduce associated hospital readmission rates and its clinical and economic burden, is a key issue in modern cardiovascular medicine. The present position paper aims to provide practical evidence-based information to support the implementation of effective preventive measures. After reviewing the most common risk factors, an overview of the population attributable risks in different continents is presented, to identify potentially effective opportunities for prevention and to inform preventive strategies. Finally, potential interventions that have been proposed and have been shown to be effective in preventing heart failure are listed.

Heart failure with preserved, mid-range, and reduced ejection fraction across health care settings: an observational study

AIMS

This study aimed to assess the sex-specific distribution of heart failure (HF) with preserved, mid-range, and reduced ejection fraction across three health care settings.

METHODS AND RESULTS

In this descriptive observational study, we retrieved the distribution of HF types [with reduced ejection fraction (HFrEF), mid-range ejection fraction (HFmrEF), and preserved ejection fraction (HFpEF)] for men and women between 65 and 79 years of age in three health care settings from a single country: (i) patients with screening-detected HF in the high-risk community (i.e. those with shortness of breath, frailty, diabetes mellitus, and chronic obstructive pulmonary disease) from four screening studies, (ii) patients with confirmed HF from primary care derived from a single observational study, and (iii) patients with confirmed HF from outpatient cardiology clinics participating in a registry. Among 1407 patients from the high-risk community, 288 had screen-detected HF (15% HFrEF, 12% HFmrEF, 74% HFpEF), and 51% of the screen-detected HF patients were women. In both women (82%) and men (65%), HFpEF was the most prevalent HF type. In the routine general practice population (30 practices, 70 000 individuals), among the 160 confirmed HF cases, 35% had HFrEF, 23% HFmrEF, and 43% HFpEF, and in total, 43% were women. In women, HFpEF was the most prevalent HF type (52%), while in men, this was HFrEF (41%). In outpatient cardiology clinics (n = 34), of the 4742 HF patients (66% HFrEF, 15% HFmrEF, 20% HFpEF), 36% were women. In both women (56%) and men (71%), HFrEF was the most prevalent HF type.

CONCLUSIONS

Both HF types and sex distribution vary considerably in HF patients of 65-79 years of age among health care settings. From the high-risk community through to general practice to the cardiology outpatient setting, there is a shift in HF type from HFpEF to HFrEF and a decrease in the proportion of HF patients that are women.

A comparison of associations with childhood lung function between air pollution exposure assessment methods with and without accounting for time-activity patterns

BACKGROUND

To investigate associations between annual average air pollution exposures and health, most epidemiological studies rely on estimated residential exposures because information on actual time-activity patterns can only be collected for small populations and short periods of time due to costs and logistic constraints. In the current study, we aim to compare exposure assessment methodologies that use data on time-activity patterns of children with residence-based exposure assessment. We compare estimated exposures and associations with lung function for residential exposures and exposures accounting for time activity patterns.

METHODS

We compared four annual average air pollution exposure assessment methodologies; two rely on residential exposures only, the other two incorporate estimated time activity patterns. The time-activity patterns were based on assumptions about the activity space and make use of available external data sources for the duration of each activity. Mapping of multiple air pollutants (NO₂, NO_X, PM_2.5, PM_2.5absorbance, PM₁₀) at a fine resolution as input to exposure assessment was based on land use regression modelling. First, we assessed the correlations between the exposures from the four exposure methods. Second, we compared estimates of the cross-sectional associations between air pollution exposures and lung function at age 8 within the PIAMA birth cohort study for the four exposure assessment methodologies.

RESULTS

The exposures derived from the four exposure assessment methodologies were highly correlated (R > 0.95) for all air pollutants. Similar statistically significant decreases in lung function were found for all four methods. For example, for NO₂ the decrease in FEV₁ was -1.40% (CI; -2.54, -0.24%) per IQR (9.14 μg/m³) for front door exposure, and -1.50% (CI; -2.68, -0.30%) for the methodology which incorporates time activity pattern and actual school addresses.

CONCLUSIONS

Exposure estimates from methods based on the residential location only and methods including time activity patterns were highly correlated and associated with similar decreases in lung function. Our study illustrates that the annual average exposure to air pollution for 8-year-old children in the Netherlands is sufficiently captured by residential exposures.

Survey of risk factors in coronary heart disease: novel recruitment strategy and preliminary results

Introduction

SURF CHD (Survey of Risk Factors in Coronary Heart Disease) is a clinical audit on secondary prevention among CHD patients aiming to simplify recording and assessment of risk factors and medication. The second wave of the study (SURF CHD II) uses a novel recruitment strategy that provides a wider and more representative picture of CHD secondary prevention.

Methods

The survey is conducted during outpatient visits and collects data on demographics, risk factor history and measurements, and medications. The novel recruitment strategy is based on the network of European Association of Preventive Cardiology (EAPC). National Cardiovascular disease Prevention Coordinators (NCPC) appointed by the EAPC were invited; national cardiac societies (NCS) were invited in countries without NCPCs; and interested clinicians may also participate. SURF researchers discussed tailor-made approaches to implement the audit with national representatives.

Results

48 NCPCs, 11 NCS and 9 individual contacts were invited. 95 centres in 31 countries are participating and have enrolled 6966 participants in 5 regions: 109 in Eastern Mediterranean, 5170 in Europe, 108 in Americas, 1563 in South East Asia and 16 in Western Pacific. 24.4% of participants were female and mean age was 63.8±18 years. 75.3% of the study population had BMI≥25kg/m2 and 20.0% were smokers. Blood pressure &lt;140/90mmHg was recorded in 61.8% of participants, 26.4% had LDL &lt;1.8 mmol/l and 40,1% had HbA1c&lt;7%. South East Asia recorded the lowest prevalence of BMI≥25kg/m2 and LDL levels. Lowest use of statins was recorded in Europe and of angiotensin-converting enzyme inhibitors in Americas.

Conclusions

The novel recruitment strategy proved to be practicable. Preliminary results indicate regional variations in risk factors and secondary prevention. SURF will continue to collaborate with NCPCs and NCS to achieve a broader insight on CHD secondary prevention with a simplified tool.

Key messages

Cardiovascular risk factor prevalence in coronary patients is high and presents regional variations. SURF is a simplified clinical auditing tool useful to assess risk factor recording and management. Centre enrolment for the study based on the network of a renowned association of cardiology is practicable and helps to provide a wide picture of secondary prevention of coronary heart disease.

Does the neighbourhood food environment contribute to ethnic differences in diet quality? Results from the HELIUS study in Amsterdam, the Netherlands

OBJECTIVE

The aim of the current study was to establish whether the neighbourhood food environment, characterised by the healthiness of food outlets, the diversity of food outlets and fast-food outlet density within a 500 m or 1000 m street network buffer around the home address, contributed to ethnic differences in diet quality.

DESIGN

Cross-sectional cohort study.

SETTING

Amsterdam, the Netherlands.

PARTICIPANTS

Data on adult participants of Dutch, South-Asian Surinamese, African Surinamese, Turkish and Moroccan descent (n total 4728) in the HELIUS study were analysed.

RESULTS

The neighbourhood food environment of ethnic minority groups living in Amsterdam is less supportive of a healthy diet and of less diversity than that of participants of Dutch origin. For example, participants of Turkish, Moroccan and South-Asian Surinamese descent reside in a neighbourhood with a significantly higher fast-food outlet density (≤1000 m) than participants of Dutch descent. However, we found no evidence that neighbourhood food environment characteristics directly contributed to ethnic differences in diet quality.

CONCLUSION

Although ethnic minority groups lived in less healthy food environments than participants of ethnic Dutch origin, this did not contribute to ethnic differences in diet quality. Future research should investigate other direct or indirect consequences of residing in less supportive food environments and gain a better understanding of how different ethnic groups make use of their neighbourhood food environment.

Generalisability of Randomised Controlled Trials in Heart Failure with Reduced Ejection Fraction

Background

Heart failure (HF) trials have stringent inclusion and exclusion criteria, but limited data exist regarding generalizability of trials. We compared patient characteristics and outcomes between patients with HF and reduced ejection fraction (HFrEF) in trials and observational registries.

Methods and Results

Individual patient data for 16 922 patients from five randomized clinical trials and 46 914 patients from two HF registries were included. The registry patients were categorized into trial-eligible and non-eligible groups using the most commonly used inclusion and exclusion criteria. A total of 26 104 (56%) registry patients fulfilled the eligibility criteria. Unadjusted all-cause mortality rates at 1 year were lowest in the trial population (7%), followed by trial-eligible patients (12%) and trial-non-eligible registry patients (26%). After adjustment for age and sex, all-cause mortality rates were similar between trial participants and trial-eligible registry patients [standardized mortality ratio (SMR) 0.97; 95% confidence interval (CI) 0.92–1.03] but cardiovascular mortality was higher in trial participants (SMR 1.19; 1.12–1.27). After full case-mix adjustment, the SMR for cardiovascular mortality remained higher in the trials at 1.28 (1.20–1.37) compared to RCT-eligible registry patients.

Conclusion

In contemporary HF registries, over half of HFrEF patients would have been eligible for trial enrolment. Crude clinical event rates were lower in the trials, but, after adjustment for case-mix, trial participants had similar rates of survival as registries. Despite this, they had about 30% higher cardiovascular mortality rates. Age and sex were the main drivers of differences in clinical outcomes between HF trials and observational HF registries.

Psychosocial factors and cancer incidence (PSY-CA): Protocol for individual participant data meta-analyses

OBJECTIVES

Psychosocial factors have been hypothesized to increase the risk of cancer. This study aims (1) to test whether psychosocial factors (depression, anxiety, recent loss events, subjective social support, relationship status, general distress, and neuroticism) are associated with the incidence of any cancer (any, breast, lung, prostate, colorectal, smoking-related, and alcohol-related); (2) to test the interaction between psychosocial factors and factors related to cancer risk (smoking, alcohol use, weight, physical activity, sedentary behavior, sleep, age, sex, education, hormone replacement therapy, and menopausal status) with regard to the incidence of cancer; and (3) to test the mediating role of health behaviors (smoking, alcohol use, weight, physical activity, sedentary behavior, and sleep) in the relationship between psychosocial factors and the incidence of cancer.

METHODS

The psychosocial factors and cancer incidence (PSY-CA) consortium was established involving experts in the field of (psycho-)oncology, methodology, and epidemiology. Using data collected in 18 cohorts (N = 617,355), a preplanned two-stage individual participant data (IPD) meta-analysis is proposed. Standardized analyses will be conducted on harmonized datasets for each cohort (stage 1), and meta-analyses will be performed on the risk estimates (stage 2).

CONCLUSION

PSY-CA aims to elucidate the relationship between psychosocial factors and cancer risk by addressing several shortcomings of prior meta-analyses.

Identification of Risk of Cardiovascular Disease by Automatic Quantification of Coronary Artery Calcifications on Radiotherapy Planning CT Scans in Patients With Breast Cancer

Importance

Cardiovascular disease (CVD) is common in patients treated for breast cancer, especially in patients treated with systemic treatment and radiotherapy and in those with preexisting CVD risk factors. Coronary artery calcium (CAC), a strong independent CVD risk factor, can be automatically quantified on radiotherapy planning computed tomography (CT) scans and may help identify patients at increased CVD risk.

Objective

To evaluate the association of CAC with CVD and coronary artery disease (CAD) in patients with breast cancer.

Design, Setting, and Participants

In this multicenter cohort study of 15 915 patients with breast cancer receiving radiotherapy between 2005 and 2016 who were followed until December 31, 2018, age, calendar year, and treatment-adjusted Cox proportional hazard models were used to evaluate the association of CAC with CVD and CAD.

Exposures

Overall CAC scores were automatically extracted from planning CT scans using a deep learning algorithm. Patients were classified into Agatston risk categories (0, 1-10, 11-100, 101-399, >400 units).

Main Outcomes and Measures

Occurrence of fatal and nonfatal CVD and CAD were obtained from national registries.

Results

Of the 15 915 participants included in this study, the mean (SD) age at CT scan was 59.0 (11.2; range, 22-95) years, and 15 879 (99.8%) were women. Seventy percent (n = 11 179) had no CAC. Coronary artery calcium scores of 1 to 10, 11 to 100, 101 to 400, and greater than 400 were present in 10.0% (n = 1584), 11.5% (n = 1825), 5.2% (n = 830), and 3.1% (n = 497) respectively. After a median follow-up of 51.2 months, CVD risks increased from 5.2% in patients with no CAC to 28.2% in patients with CAC scores higher than 400. After adjustment, CVD risk increased with higher CAC score (hazard ratio [HR]CAC = 1-10 = 1.1; 95% CI, 0.9-1.4; HRCAC = 11-100 = 1.8; 95% CI, 1.5-2.1; HRCAC = 101-400 = 2.1; 95% CI, 1.7-2.6; and HRCAC>400 = 3.4; 95% CI, 2.8-4.2). Coronary artery calcium was particularly strongly associated with CAD (HRCAC>400 = 7.8; 95% CI, 5.5-11.2). The association between CAC and CVD was strongest in patients treated with anthracyclines (HRCAC>400 = 5.8; 95% CI, 3.0-11.4) and patients who received a radiation boost (HRCAC>400 = 6.1; 95% CI, 3.8-9.7).

Conclusions and Relevance

This cohort study found that coronary artery calcium on breast cancer radiotherapy planning CT scan results was associated with CVD, especially CAD. Automated CAC scoring on radiotherapy planning CT scans may be used as a fast and low-cost tool to identify patients with breast cancer at increased risk of CVD, allowing implementing CVD risk-mitigating strategies with the aim to reduce the risk of CVD burden after breast cancer.

Trial Registration

ClinicalTrials.gov Identifier: NCT03206333.

Residential exposure to fast-food restaurants and its association with diet quality, overweight and obesity in the Netherlands: a cross-sectional analysis in the EPIC-NL cohort

Background

Unhealthy food environments may contribute to unhealthy diets and risk of overweight and obesity through increased consumption of fast-food. Therefore, we aimed to study the association of relative exposure to fast-food restaurants (FFR) with overall diet quality and risk of overweight and obesity in a sample of older adults.

Methods

We analyzed cross-sectional data of the EPIC-NL cohort (n = 8,231). Data on relative FFR exposure was obtained through linkage of home address in 2015 with a retail outlet database. We calculated relative exposure to FFR by dividing the densities of FFR in street-network buffers of 400, 1000, and 1500 m around the home of residence by the density of all food retailers in the corresponding buffer. We calculated scores on the Dutch Healthy Diet 2015 (DHD15) index using data from a validated food-frequency questionnaire. BMI was categorized into normal weight (BMI < 25), overweight (25 ≤ BMI < 30), and obesity (BMI ≥ 30). We used multivariable linear regression (DHD15-index) and multinomial logistic regression (weight status), using quartiles of relative FFR exposure as independent variable, adjusting for lifestyle and environmental characteristics.

Results

Relative FFR exposure was not significantly associated with DHD15-index scores in the 400, 1000, and 1500 m buffers (β_Q4vsQ1= -0.21 [95 %CI: -1.12; 0.70]; β_Q4vsQ1= -0.12 [95 %CI: -1.10; 0.87]; β_Q4vsQ1 = 0.37 [95 %CI: -0.67; 1.42], respectively). Relative FFR exposure was also not related to overweight in consecutive buffers (OR_Q4vsQ1=1.10 [95 %CI: 0.97; 1.25]; OR_Q4vsQ1=0.97 [95 %CI: 0.84; 1.11]; OR_Q4vsQ1= 1.04 [95 %CI: 0.90–1.20]); estimates for obesity were similar to those of overweight.

Conclusions

A high proportion of FFR around the home of residence was not associated with diet quality or overweight and obesity in this large Dutch cohort of older adults. We conclude that although the food environment may be a determinant of food choice, this may not directly translate into effects on diet quality and weight status. Methodological improvements are warranted to provide more conclusive evidence.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12937-021-00713-5.

Survey of risk factors in coronary heart disease (SURF CHD) II: rationale, methods for a novel recruitment strategy and preliminary results

Funding Acknowledgements

Type of funding sources: Public Institution(s). Main funding source(s): European Association of Preventive Cardiology

Introduction

SURF CHD (Survey of Risk Factors in Coronary Heart Disease) is a clinical audit on risk factors and secondary prevention among CHD patients. The first wave of the study showed usefulness of the tool and poor control of risk factors, however the centres were identified by personal contacts. A more formal recruitment strategy was required to increase representativeness in the second wave of the study (SURF CHD II). Purpose: SURF CHD II aims to simplify recording and assessment of risk factor management and medication in CHD patients, while using a novel recruitment strategy that improves representativeness of results and provides a wider picture of secondary prevention of CHD. Methods: The survey is conducted electronically during routine outpatient visits. Data on demographics, risk factors, laboratory and physical measurements and medications is collected and summarized. The novel recruitment strategy is based on the pre-existing network of a renowned association of preventive cardiology, which designates a National Cardiovascular disease Prevention Coordinator (NCPC) for several countries. NCPCs were invited to participate in the clinical audit; selected national cardiac societies were invited to pilot recruitment in countries without a designated NCPC; and clinicians that independently showed interest in SURF were welcome to participate too. The SURF team and interested country representatives held meetings to discuss a tailor-made approach for the implementation of the audit in each country. Results: A total of 48 NCPCs, 11 national cardiac societies and 9 individual contacts were invited to SURF. In 18 meetings with country representatives, enrolment of centres adapting to the countries’ characteristics were discussed. To date, 95 centres in 31 countries have agreed to participate and have enrolled 6145 participants: 88 in Eastern Mediterranean, 4786 in Europe, 108 in the Americas, 1069 in South East Asia and 13 in Western Pacific. 80.11% of the centres are public and 96.73% are located in urban areas. 25.21% of participants were female and mean age was 63.82 ± 18 years. 75.99% of the study population were overweight or obese and 16.6% were smokers. Blood pressure lower than &lt;140/90mmHg was reported in 61.05% of participants, 20.58% had LDL &lt;1.8 mmol/l and 39.58% had  HbA1c &lt; 7%. 27.15% of participants attended cardiac rehabilitation. South East Asia recorded the lowest prevalence of overweight and obesity and LDL levels. Lowest use of statins was recorded in Europe (78.94%), and of angiotensin-converting enzyme inhibitors in the Americas (14.18%). Conclusions: The recruitment strategy based on the preventive cardiology association’s network is successful. Preliminary results indicate regional variations in risk factors and secondary prevention. SURF will continue to collaborate with NCPCs national cardiac societies to promote the survey and achieve a broader insight on secondary prevention of CHD with a simplified tool.

Identification of distinct phenotypic clusters in heart failure with preserved ejection fraction

AIMS

We aimed to derive and validate clinically useful clusters of patients with heart failure with preserved ejection fraction (HFpEF; left ventricular ejection fraction ≥50%).

METHODS AND RESULTS

We derived a cluster model from 6909 HFpEF patients from the Swedish Heart Failure Registry (SwedeHF) and externally validated this in 2153 patients from the Chronic Heart Failure ESC-guideline based Cardiology practice Quality project (CHECK-HF) registry. In SwedeHF, the median age was 80 [interquartile range 72-86] years, 52% of patients were female and most frequent comorbidities were hypertension (82%), atrial fibrillation (68%), and ischaemic heart disease (48%). Latent class analysis identified five distinct clusters: cluster 1 (10% of patients) were young patients with a low comorbidity burden and the highest proportion of implantable devices; cluster 2 (30%) patients had atrial fibrillation, hypertension without diabetes; cluster 3 (25%) patients were the oldest with many cardiovascular comorbidities and hypertension; cluster 4 (15%) patients had obesity, diabetes and hypertension; and cluster 5 (20%) patients were older with ischaemic heart disease, hypertension and renal failure and were most frequently prescribed diuretics. The clusters were reproduced in the CHECK-HF cohort. Patients in cluster 1 had the best prognosis, while patients in clusters 3 and 5 had the worst age- and sex-adjusted prognosis.

CONCLUSIONS

Five distinct clusters of HFpEF patients were identified that differed in clinical characteristics, heart failure drug therapy and prognosis. These results confirm the heterogeneity of HFpEF and form a basis for tailoring trial design to individualized drug therapy in HFpEF patients.

Temporal trends in heart failure medication prescription in a population-based cohort study

OBJECTIVE

We examined temporal heart failure (HF) prescription patterns in a large representative sample of real-world patients in the UK, using electronic health records (EHR).

METHODS

From primary and secondary care EHR, we identified 85 732 patients with a HF diagnosis between 2002 and 2015. Almost 50% of patients with HF were women and the median age was 79.1 (IQR 70.2-85.7) years, with age at diagnosis increasing over time.

RESULTS

We found several trends in pharmacological HF management, including increased beta blocker prescriptions over time (29% in 2002-2005 and 54% in 2013-2015), which was not observed for mineralocorticoid receptor-antagonists (MR-antagonists) (18% in 2002-2005 and 18% in 2013-2015); higher prescription rates of loop diuretics in women and elderly patients together with lower prescription rates of angiotensin-converting enzyme inhibitors and/or angiotensin II receptor blockers, beta blockers or MR-antagonists in these patients; little change in medication prescription rates occurred after 6 months of HF diagnosis and, finally, patients hospitalised for HF who had no recorded follow-up in primary care had considerably lower prescription rates compared with patients with a HF diagnosis in primary care with or without HF hospitalisation.

CONCLUSION

In the general population, the use of MR-antagonists for HF remained low and did not change throughout 13 years of follow-up. For most patients, few changes were seen in pharmacological management of HF in the 6 months following diagnosis.

Associations between the built environment and obesity: an umbrella review

Background

In the past two decades, the built environment emerged as a conceptually important determinant of obesity. As a result, an abundance of studies aiming to link environmental characteristics to weight-related outcomes have been published, and multiple reviews have attempted to summarise these studies under different scopes and domains. We set out to summarise the accumulated evidence across domains by conducting a review of systematic reviews on associations between any aspect of the built environment and overweight or obesity.

Methods

Seven databases were searched for eligible publications from the year 2000 onwards. We included systematic literature reviews, meta-analyses and pooled analyses of observational studies in the form of cross-sectional, case–control, longitudinal cohort, ecological, descriptive, intervention studies and natural experiments. We assessed risk of bias and summarised results structured by built environmental themes such as food environment, physical activity environment, urban–rural disparity, socioeconomic status and air pollution.

Results

From 1850 initial hits, 32 systematic reviews were included, most of which reported equivocal evidence for associations. For food- and physical activity environments, associations were generally very small or absent, although some characteristics within these domains were consistently associated with weight status such as fast-food exposure, urbanisation, land use mix and urban sprawl. Risks of bias were predominantly high.

Conclusions

Thus far, while most studies have not been able to confirm the assumed influence of built environments on weight, there is evidence for some obesogenic environmental characteristics.

Registration: This umbrella review was registered on PROSPERO under ID CRD42019135857.

Risk of 28-day readmissions among stroke patients in Malaysia (2008-2015): Trends, causes and its associated factors

BACKGROUND AND OBJECTIVES

Risk of readmissions is an important quality indicator for stroke care. Such information is limited among low- and middle-income countries. We assessed the trends for 28-day readmissions after a stroke in Malaysia from 2008 to 2015 and evaluated the causes and factors associated with readmissions in 2015.

METHODS

Using the national hospital admission records database, we included all stroke patients who were discharged alive between 2008 and 2015 for this secondary data analysis. The risk of readmissions was described in proportion and trends. Reasons were coded according to the International Classification of Diseases, 10th Edition. Multivariable logistic regression was performed to identify factors associated with readmissions.

RESULTS

Among 151729 patients, 11 to 13% were readmitted within 28 days post-discharge from their stroke events each year. The trend was constant for ischemic stroke but decreasing for hemorrhagic stroke. The leading causes for readmissions were recurrent stroke (32.1%), pneumonia (13.0%) and sepsis (4.8%). The risk of 28-day readmission was higher among those with stroke of hemorrhagic (adjusted odds ratio (AOR): 1.52) and subarachnoid hemorrhage (AOR: 2.56) subtypes, and length of index admission >3 days (AOR: 1.48), but lower among younger age groups of 35-64 (AORs: 0.61-0.75), p values <0.001.

CONCLUSION

The risk of 28-day readmission remained constant from 2008 to 2015, where one in eight stroke patients required readmission, mainly attributable to preventable causes. Age, ethnicity, stroke subtypes and duration of the index admission influenced the risk of readmission. Efforts should focus on minimizing potentially preventable admissions, especially among those at higher risk.

Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10-8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets.

Deep phenotyping meets big data: the Geoscience and hEalth Cohort COnsortium (GECCO) data to enable exposome studies in The Netherlands

Environmental exposures are increasingly investigated as possible drivers of health behaviours and disease outcomes. So-called exposome studies that aim to identify and better understand the effects of exposures on behaviours and disease risk across the life course require high-quality environmental exposure data. The Netherlands has a great variety of environmental data available, including high spatial and often temporal resolution information on urban infrastructure, physico-chemical exposures, presence and availability of community services, and others. Until recently, these environmental data were scattered and measured at varying spatial scales, impeding linkage to individual-level (cohort) data as they were not operationalised as personal exposures, that is, the exposure to a certain environmental characteristic specific for a person. Within the Geoscience and hEalth Cohort COnsortium (GECCO) and with support of the Global Geo Health Data Center (GGHDC), a platform has been set up in The Netherlands where environmental variables are centralised, operationalised as personal exposures, and used to enrich 23 cohort studies and provided to researchers upon request. We here present and detail a series of personal exposure data sets that are available within GECCO to date, covering personal exposures of all residents of The Netherlands (currently about 17 M) over the full land surface of the country, and discuss challenges and opportunities for its use now and in the near future.

Screening for abdominal aortic aneurysm in patients with clinically manifest vascular disease

AIMS

Declining prevalence of abdominal aortic aneurysm (AAA) might force a more targeted screening approach (high-risk populations only) in order to maintain (cost-)effectiveness. We aimed to determine temporal changes in the prevalence of screening-detected AAA, to assess AAA-related surgery, and evaluate all-cause mortality in patients with manifest vascular disease.

METHODS AND RESULTS

We included patients with manifest vascular disease but without a history of AAA enrolled in the ongoing single-centre prospective UCC-SMART cohort study. Patients were screened at baseline for AAA by abdominal ultrasonography. We calculated sex- and age-specific prevalence of AAA, probability of survival in relation to the presence of AAA, and the proportion of patients undergoing AAA-related surgery. Prevalence of screening-detected AAA in 5440 screened men was 2.5% [95% confidence interval (CI) 2.1-2.9%] and in 1983 screened women 0.7% (95% CI 0.4-1.1%). Prevalence declined from 1997 until 2017 in men aged 70-79 years from 8.1% to 3.2% and in men aged 60-69 years from 5.7% to 1.0%. 36% of patients with screening-detected AAA received elective AAA-related surgery during follow-up (median time until surgery = 5.3 years, interquartile range 2.5-9.1). Patients with screening-detected AAA had a lower probability of survival (sex and age adjusted) compared to patients without screening-detected AAA (51%, 95% CI 41-64% vs. 69%, 95% CI 68-71%) after 15 years of follow-up.

CONCLUSION

The prevalence of screening-detected AAA has declined over the period 1997-2017 in men with vascular disease but exceeds prevalence in already established screening programs targeting 65-year-old men. Screening for AAA in patients with vascular disease may be cost-effective, but this remains to be determined.

Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci

Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P < 5 × 10-8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P < 5 × 10-8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P < 4.5 × 10-3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141 and two low-frequency SNVs in CEP350 and HDGFRP2. Functional follow-up implied that decreased expression of REV3L may lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.

Genetic Determinants of Electrocardiographic P-Wave Duration and Relation to Atrial Fibrillation

BACKGROUND

The P-wave duration (PWD) is an electrocardiographic measurement that represents cardiac conduction in the atria. Shortened or prolonged PWD is associated with atrial fibrillation (AF). We used exome-chip data to examine the associations between common and rare variants with PWD.

METHODS

Fifteen studies comprising 64 440 individuals (56 943 European, 5681 African, 1186 Hispanic, 630 Asian) and ≈230 000 variants were used to examine associations with maximum PWD across the 12-lead ECG. Meta-analyses summarized association results for common variants; gene-based burden and sequence kernel association tests examined low-frequency variant-PWD associations. Additionally, we examined the associations between PWD loci and AF using previous AF genome-wide association studies.

RESULTS

We identified 21 common and low-frequency genetic loci (14 novel) associated with maximum PWD, including several AF loci (TTN, CAND2, SCN10A, PITX2, CAV1, SYNPO2L, SOX5, TBX5, MYH6, RPL3L). The top variants at known sarcomere genes (TTN, MYH6) were associated with longer PWD and increased AF risk. However, top variants at other loci (eg, PITX2 and SCN10A) were associated with longer PWD but lower AF risk.

CONCLUSIONS

Our results highlight multiple novel genetic loci associated with PWD, and underscore the shared mechanisms of atrial conduction and AF. Prolonged PWD may be an endophenotype for several different genetic mechanisms of AF.

Long-term prognosis after intracerebral haemorrhage

Introduction

The aim of this study was to determine the risk of recurrent intracerebral haemorrhage (ICH), ischaemic stroke, all stroke, any vascular event and all-cause mortality in 30-day survivors of ICH, according to age and sex.

Patients and methods

We linked national hospital discharge, population and cause of death registers to obtain a cohort of Dutch 30-day survivors of ICH from 1998 to 2010. We calculated cumulative incidences of recurrent ICH, ischaemic stroke, all stroke and composite vascular outcome, adjusted for competing risk of death and all-cause mortality. Additionally, we compared survival with the general population.

Results

We included 19,444 ICH-survivors (52% male; median age 72 years, interquartile range 61–79; 78,654 patient-years of follow-up). First-year cumulative incidence of recurrent ICH ranged from 1.5% (95% confidence interval 0.9–2.3; men 35–54 years) to 2.4% (2.0–2.9; women 75–94 years). Depending on age and sex, 10-year risk of recurrent ICH ranged from 3.7% (2.6–5.1; men 35–54 years) to 8.1% (6.9–9.4; women 55–74 years); ischaemic stroke 2.6% to 7.0%, of all stroke 9.9% to 26.2% and of any vascular event 15.0% to 40.4%. Ten-year mortality ranged from 16.7% (35–54 years) to 90.0% (75–94 years). Relative survival was lower in all age-groups of both sexes, ranging from 0.83 (0.80–0.87) in 35- to 54-year-old men to 0.28 (0.24–0.32) in 75- to 94-year-old women.

Discussion

ICH-survivors are at high risk of recurrent ICH, of ischaemic stroke and other vascular events, and have a sustained reduced survival rate compared to the general population.

Conclusion

The high risk of recurrent ICH, other vascular events and prolonged reduced survival-rates warrant clinical trials to determine optimal secondary prevention treatment after ICH.

A Global Analysis of Associations between Fine Particle Air Pollution and Cardiovascular Risk Factors: Feasibility Study on Data Linkage

Background

This paper presents a feasibility study of data linkage between global air pollution data and clinical medical data to assess the associations of PM2.5 with cardiovascular risk factors.

Methods

Cardiovascular risk factor data were obtained from the SUrvey of Risk Factors (SURF) for coronary heart disease (CHD) patients from 10 countries in Europe, Asia, and the Middle-East. Annual average PM2.5 concentrations were estimated using recent global WHO PM2.5 maps combining satellite and surface monitoring data for the location of the 71 participating centers. Associations of PM2.5 with risk factors were assessed by mixed-effect generalized estimation equation models adjusted by sex, age, exercise, body mass index, and smoking. In the final model there was further adjustment for country.

Results

Linkage between cardiovascular risk factor data and PM2.5 via the postal address of participating hospitals was shown to be feasible, however with several limitations noted.Eight thousand three hundred and ninety two patients (30% women) were included. Globally, an increase of 10 μg/m3 in PM2.5 was significantly associated with decreased BP and increased glucose. After controlling for country, an increase of 10 μg/m3 in PM2.5 was associated with decreased BP and increased LDL (SBP: -0.45 mmHg [95% CI: -0.85, -0.06]; DBP: -0.47 mmHg [-0.73, -0.20]; LDL: 0.04 mmol/L [0.01, 0.08]). The association with glucose attenuated (0.08 mmol/L [-0.23, 0.16]).

Conclusion

It is feasible to link PM2.5 and cardiovascular risk factors but it is still challenging to interpret these observed associations due to unavailability of potential confounders. After country adjustment, PM2.5 was associated with small increases in LDL and small decreases in BP.

Highlights

- There are limited studies on the association between air pollution and cardiovascular risk factors for patients with established coronary heart disease in low- and middle-income countries;- Data linkage is an efficient and cost-effective method to maximize the use of existing data to investigate more health related research questions;- It is feasible to determine global associations of air pollution and cardiovascular risk factors by data linkage but it is still challenging in terms of interpretation.

A registry-based algorithm to predict ejection fraction in patients with heart failure

Aims

Left ventricular ejection fraction (EF) is required to categorize heart failure (HF) [i.e. HF with preserved (HFpEF), mid‐range (HFmrEF), and reduced (HFrEF) EF] but is often not captured in population‐based cohorts or non‐HF registries. The aim was to create an algorithm that identifies EF subphenotypes for research purposes.

Methods and results

We included 42 061 HF patients from the Swedish Heart Failure Registry. As primary analysis, we performed two logistic regression models including 22 variables to predict (i) EF≥ vs. <50% and (ii) EF≥ vs. <40%. In the secondary analysis, we performed a multivariable multinomial analysis with 22 variables to create a model for all three separate EF subphenotypes: HFrEF vs. HFmrEF vs. HFpEF. The models were validated in the database from the CHECK‐HF study, a cross‐sectional survey of 10 627 patients from the Netherlands. The C‐statistic (discrimination) was 0.78 [95% confidence interval (CI) 0.77–0.78] for EF ≥50% and 0.76 (95% CI 0.75–0.76) for EF ≥40%. Similar results were achieved for HFrEF and HFpEF in the multinomial model, but the C‐statistic for HFmrEF was lower: 0.63 (95% CI 0.63–0.64). The external validation showed similar discriminative ability to the development cohort.

Conclusions

Routine clinical characteristics could potentially be used to identify different EF subphenotypes in databases where EF is not readily available. Accuracy was good for the prediction of HFpEF and HFrEF but lower for HFmrEF. The proposed algorithm enables more effective research on HF in the big data setting.

Sex Differences in Cardiovascular Medication Prescription in Primary Care: A Systematic Review and Meta-Analysis

Background

Sex differences in the management of cardiovascular disease have been reported in secondary care. We conducted a systematic review with meta‐analysis of systematically investigated sex differences in cardiovascular medication prescription among patients at high risk or with established cardiovascular disease in primary care.

Methods and Results

PubMed and Embase were searched between 2000 and 2019 for observational studies reporting on the sex‐specific prevalence of aspirin, statins, and antihypertensive medication prescription, including beta blockers, calcium channel blockers, angiotensin‐converting enzyme inhibitors, and diuretics, in primary care. Random effects meta‐analysis was used to obtain pooled women‐to‐men prevalence ratios for each cardiovascular medication prescription. Metaregression models assessed the impact of age and year on the findings. A total of 43 studies were included, involving 2 264 600 participants (28% women) worldwide. Participants’ mean age ranged from 51 to 76 years. The pooled prevalence of cardiovascular medication prescription for women was 41% for aspirin, 60% for statins, and 68% for any antihypertensive medications. Corresponding rates for men were 56%, 63%, and 69% respectively. The pooled women‐to‐men prevalence ratios were 0.81 (95% CI, 0.72–0.92) for aspirin, 0.90 (95% CI, 0.85–0.95) for statins, and 1.01 (95% CI, 0.95–1.08) for any antihypertensive medications. Women were less likely to be prescribed angiotensin‐converting enzyme inhibitors (0.85; 95% CI, 0.81–0.89) but more likely with diuretics (1.27; 95% CI, 1.17–1.37). Mean age, mean age difference between the sexes, and year of study had no significant impact on findings.

Conclusions

Sex differences in the prescription of cardiovascular medication exist among patients at high risk or with established cardiovascular disease in primary care, with a lower prevalence of aspirin, statins, and angiotensin‐converting enzyme inhibitors prescription in women and a lower prevalence of diuretics prescription in men.

A prediction model for one- and three-year mortality in dementia: results from a nationwide hospital-based cohort of 50,993 patients in the Netherlands

Objective

to develop a model to predict one- and three-year mortality in patients with dementia attending a hospital, through hospital admission or day/memory clinic.

Design

we constructed a cohort of dementia patients through data linkage of three Dutch national registers: the hospital discharge register (HDR), the population register and the national cause of death register.

Subjects

patients with dementia in the HDR aged between 60 and 100 years registered between 1 January 2000 and 31 December 2010.

Methods

logistic regression analysis techniques were used to predict one- and three-year mortality after a first hospitalisation with dementia. The performance was assessed using the c-statistic and the Hosmer–Lemeshow test. Internal validation was performed using bootstrap resampling.

Results

50,993 patients were included in the cohort. Two models were constructed, which included age, sex, setting of care (hospitalised versus day clinic) and the presence of comorbidity using the Charlson comorbidity index. One model predicted one-year mortality and the other three-year mortality. Model discrimination according to the c-statistic for the models was 0.71 (95% CI 0.71–0.72) and 0.72 (95% CI 0.72–0.73), respectively.

Conclusion

both models display acceptable ability to predict mortality. An important advantage is that they are easy to apply in daily practise and thus are helpful for individual decision-making regarding diagnostic/therapeutic interventions and advance care planning.

Mortality after hospital admission for heart failure: improvement over time, equally strong in women as in men

Background

To assess the trend in age- and sex-stratified mortality after hospitalization for heart failure (HF) in the Netherlands.

Methods

Two nationwide cohorts of patients, hospitalized for new onset heart failure between 01.01.2000–31.12.2002 and between 01.01.2008–31.12.2010, were constructed by linkage of the Dutch Hospital Discharge Registry and the National Cause of Death registry. 30-day, 1-year and 5 -year overall and cause-specific mortality rates stratified by age and sex were assessed and compared over time.

Results

We identified 40,230 men and 41,582 women. In both cohorts, men were on average younger than women (74–75 and 78–79 years, respectively) and more often had comorbid conditions (37 and 30%, respectively). In the 2008–10 cohort, mortality rates for men were 13, 32 and 64% for respectively 30-day, 1-year and 5-year mortality and 14, 33 and 66% for women. Mortality rates increased considerably with age similarly in men and women (e.g. from 10.5% in women aged 25–54 to 46.1% in those aged 85 and older after 1 year). Between the two time periods, mortality rates dropped across all ages, equally strong in women as in men. The 1-year absolute risk of death declined by 4.0% (from 36.1 to 32.1%) in men and 3.2% (from 36.2 to 33.0%) in women.

Conclusions

Mortality after hospitalization for new onset HF remains high, however, both short-term and long-term survival is improving over time. This improvement was similar across all ages and equally strong in women as in men.

Risk of coronary artery disease in adults with congenital heart disease: A comparison with the general population

BACKGROUND

Coronary artery disease (CAD) will increasingly determine outcome in the aging adult congenital heart disease (CHD) population. We aimed to determine sex-specific incidence of CAD in adult CHD patients throughout adulthood, compared to the general population.

METHODS AND RESULTS

We followed 11,723 adult CHD patients (median age 33 years; 49% male; 57% mild, 34% moderate, 9% severe CHD) from the Dutch CONCOR registry, and two age-sex-matched persons per patient from the general population for first CAD event in national registers (period 2002-2012). Incidence rates were estimated using smoothed hazard functions. CAD risk during follow-up, stratified by CHD severity, was compared using proportional subdistribution hazards regression. In ACHD patients, 103 CAD events (43 women) occurred over 60,456 person-years. Rates per 1000person-years increased from 0.3(95% confidence interval: 0.1-0.6) at age 20 to 5.8(3.7-8.9) at 70 years in female, and from 0.5(0.3-1.0) to 7.8(5.1-11.8) in male patients. Compared to the general population, relative risk was 12.0(2.5-56.3) in women and 4.6(1.7-12.1) in men aged 20 years. Relative risk declined with age, remaining significant up to age ~65 years in women and ~50 years in men. In patients with mild, moderate and severe CHD, CAD risk was 1.3(0.9-1.9), 1.6(1.0-2.5) and 2.9(1.3-6.9) times increased compared to the general population, respectively.

CONCLUSIONS

We found increased CAD risk in adult CHD patients, with greater relative risk at younger age, in women and those with more severe CHD. These results underline the importance of screening for and treatment of CAD risk factors in these patients.

Exome-chip association analysis of intracranial aneurysms

OBJECTIVE

To investigate to what extent low-frequency genetic variants (with minor allele frequencies <5%) affect the risk of intracranial aneurysms (IAs).

METHODS

One thousand fifty-six patients with IA and 2,097 population-based controls from the Netherlands were genotyped with the Illumina HumanExome BeadChip. After quality control (QC) of samples and single nucleotide variants (SNVs), we conducted a single variant analysis using the Fisher exact test. We also performed the variable threshold (VT) test and the sequence kernel association test (SKAT) at different minor allele count (MAC) thresholds of >5 and >0 to test the hypothesis that multiple variants within the same gene are associated with IA risk. Significant results were tested in a replication cohort of 425 patients with IA and 311 controls, and results of the 2 cohorts were combined in a meta-analysis.

RESULTS

After QC, 995 patients with IA and 2,080 controls remained for further analysis. The single variant analysis comprising 46,534 SNVs did not identify significant loci at the genome-wide level. The gene-based tests showed a statistically significant association for fibulin 2 (FBLN2) (best p = 1 × 10^-6 for the VT test, MAC >5). Associations were not statistically significant in the independent but smaller replication cohort (p > 0.57) but became slightly stronger in a meta-analysis of the 2 cohorts (best p = 4.8 × 10^-7 for the SKAT, MAC ≥1).

CONCLUSION

Gene-based tests indicated an association for FBLN2, a gene encoding an extracellular matrix protein implicated in vascular wall remodeling, but independent validation in larger cohorts is warranted. We did not identify any significant associations for single low-frequency genetic variants.