Healthy sleep score and incident cardiovascular diseases: the Paris Prospective Study III (PPS3)

Background/Introduction

Most studies on the association between sleep habits and cardiovascular disease (CVD) have focused on one single sleep dimension, essentially sleep duration and sleep apnea.

Purpose

To examine the joint effect of several dimensions of sleep habits with incident CVD in a community-based prospective cohort.

Methods

Between 2008 and 2011, 10,157 men and women aged 50 to 75 years were recruited in a preventive medical center. They underwent a standard physical examination coupled with standard biological tests, and provided information related to lifestyle, personal and family medical history, current health status, and medication use on questionnaires. Sleep habits were self-reported on validated questionnaires that assess sleep duration and insomnia complaints (Pittsburg questionnaire), early chronotype, sleep apnea (Berlin questionnaire) and subjective daytime sleepiness (Epworth questionnaire). Each sleep dimension was assigned 1 point if optimal and 0 point otherwise. A healthy sleep score ranging from 0 to 5 (the higher the better) and reflecting the number of optimal sleep dimensions was computed: early chronotype, sleep duration of 7–8 h/day, never/rarely insomnia, no sleep apnea, and no frequent excessive daytime sleepiness. The occurrence of incident CVD events including coronary heart disease and stroke was followed every two years up to September 2020, and events were validated after review of the medical records. The multivariable association between higher healthy sleep score and CVD events was examined in proportional hazard Cox regression analysis. Population-attributable fractions were calculated to estimate the proportion of CVD cases that could be prevented by healthier sleep habits.

Results

This study included 7203 participants (62% of men, mean age: 59.7 years±6.2) who were free of CVD at baseline and had complete data on sleep habits and covariates. Among them, 6.9% had a poor sleep score (healthy sleep score of 0 or 1), and 10.4% had an optimal sleep score (score= 5). After a median follow-up of 8 years, 275 participants had incident CVD events. After adjustment for age, sex, total alcohol consumption, socioprofessional categories, smoking status, body mass index, physical activity, family history of heart diseases, LDL and HDL cholesterol, and diabetes status, the risk of CVD decreased by 22% (HR=0.78 [95% CI: 0.71–0.86]) per 1 point increment in the healthy sleep score, and there was a 74% risk reduction in CVD risk (HR=0.26 [0.13–0.51]) between participants with the highest (score of 5) and those with the lowest (score of 0–1) healthy sleep score (Table 1). Under the hypothesis that all the participants would achieve an optimal sleep score of 5, 70.8% of incident CVD could be potentially avoided each year.

Conclusion(s)

In this community-based prospective cohort, a higher healthy sleep score combining 5 sleep dimensions was associated with a lower risk of CHD or stroke.

Funding Acknowledgement

Type of funding sources: Public Institution(s). Main funding source(s): The National Research Agency (ANR), The Region Ile de France (Domaine d'Intérêt Majeur)

Identification of risk loci for primary aldosteronism in genome-wide association studies

Primary aldosteronism affects up to 10% of hypertensive patients and is responsible for treatment resistance and increased cardiovascular risk. Here we perform a genome-wide association study in a discovery cohort of 562 cases and 950 controls and identify three main loci on chromosomes 1, 13 and X; associations on chromosome 1 and 13 are replicated in a second cohort and confirmed by a meta-analysis involving 1162 cases and 3296 controls. The association on chromosome 13 is specific to men and stronger in bilateral adrenal hyperplasia than aldosterone producing adenoma. Candidate genes located within the two loci, CASZ1 and RXFP2, are expressed in human and mouse adrenals in different cell clusters. Their overexpression in adrenocortical cells suppresses mineralocorticoid output under basal and stimulated conditions, without affecting cortisol biosynthesis. Our study identifies the first risk loci for primary aldosteronism and highlights new mechanisms for the development of aldosterone excess.

Does age influence out-of-hospital cardiac arrest incidence and outcomes among women? Insights from the Paris SDEC

AIMS

Age and sex disparities in out-of-hospital cardiac arrest (OHCA) have been described. Reproductive age may have a protected effect on females vs. males, although results are conflicting. We aimed to clarify this using the Paris Sudden Death Expertise Centre (SDEC) registry.

METHODS AND RESULTS

The Paris SDEC registry collects OHCAs occurring in the Greater Paris Area. We included all OHCAs of presumed cardiac causes occurring between 2013 and 2018. Patients were divided into age groups: 1-13, 13-50, 50-75, and >75 years. Sex and age disparities in OHCA incidence and outcomes were analysed using multivariable negative binomial and logistic regression models. There were 19 782 OHCAs meeting inclusion criteria: 0.37% aged 1-13 years, 12.4% aged 13-50 years, 40.4% aged 50-75 years, and 46.9% aged >75 years. Adjusted incidence rate ratios (IRRs) in females vs. males were for the youngest to the older age groups: 1.29 [95% confidence interval (CI) 0.78-2.13], 0.54 [0.49-0.59], 0.60 [0.56-0.64], and 0.75 [0.67-0.84]. At reproductive age, females were more likely than males to have a return of spontaneous circulation [adjusted odds ratio (OR) 1.60 (1.27-2.02)], to be alive at hospital admission [OR: 1.49 (1.18-1.89)]. In both sexes, patients aged 13-50 years were more likely to survive at hospital discharge than those aged 50-75 years [males: OR 1.81 (1.49-2.20), females: 2.24 (1.54-3.25)]. However, at reproductive age, no sex disparity was observed in survival at hospital discharge [OR: 1.16 (0.75-1.80)].

CONCLUSION

Incidence rate ratios were similar between pre- and post-menopausal aged patients. At reproductive age, no sex disparity in survival at hospital discharge was observed, suggesting that menopausal status may not influence OHCA occurrence and prognosis.

Prevalence of Hearing Loss and Hearing Aid Use Among Adults in France in the CONSTANCES Study

IMPORTANCE

Although hearing loss is common in the population worldwide, the prevalence of hearing loss and hearing aid use is not known.

OBJECTIVE

To estimate the prevalence of hearing loss and hearing aid use in the adult French population.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study used data from the CONSTANCES cohort, a representative sample of the French population. Volunteers aged 18 to 75 years were recruited at 21 preventive health centers between January 1, 2012, and December 31, 2019. The present study included participants with audiometric data.

MAIN OUTCOMES AND MEASURES

The main outcomes were prevalence of hearing loss and disabling hearing loss overall and by sex and age group and prevalence of self-reported hearing aid use among those with disabling hearing loss. Hearing loss was defined as a pure-tone average (PTA) in the better ear of 20 dB or higher, and disabling hearing loss was defined as a PTA in the better ear of 35 dB or higher.

RESULTS

Of 200 870 participants in the CONSTANCES study, 186 460 had full audiometric data and were included in this study (mean [SD] age, 47.1 [13.5] years); 100 330 (53.8%) were female, and 86 130 (46.2%) were male. Of these participants, 24.8% (95% CI, 24.6%-25.0%) had hearing loss and 4.3% (95% CI, 4.2%-4.4%) had disabling hearing loss. The prevalence rates of hearing loss increased from 3.4% (95% CI, 2.8%-3.9%) at age 18 to 25 years to 73.3% (95% CI, 69.5%-77.2%) at age 71 to 75 years among men and from 4.4% (95% CI, 3.9%-5.0%) at age 18 to 25 years to 64.1% (95% CI, 59.7%-68.4%) at age 71 to 75 years among women. The prevalence of disabling hearing loss increased from 0.3% (95% CI, 0.2%-0.4%) among participants aged 18 to 25 years to 23.3% (95% CI, 20.7%-26.0%) among participants aged 71 to 75 years. Among the 8050 participants with disabling hearing loss, 36.8% (95% CI, 35.8%-37.9%) reported using hearing aids, including 56.7% (95% CI, 38.9%-74.4%) aged 18 to 25 years and 32.9% (95% CI, 26.8%-39.2%) aged 71 to 75 years.

CONCLUSIONS AND RELEVANCE

In this cohort study, hearing loss was prevalent in France, and the prevalence of hearing loss increased with age among both men and women. Hearing aids were underused, particularly among older individuals. These findings suggest that hearing loss prevention and screening in the French population are needed.

Harmonization of the definition of sudden cardiac death in longitudinal cohorts of the European Sudden Cardiac Arrest network - towards Prevention, Education, and New Effective Treatments (ESCAPE-NET) consortium

BACKGROUND

The burden of sudden cardiac death (SCD) in the general population is substantial and SCD frequently occurs among people with few or no known risk factors for cardiac disease. Reported incidences of SCD vary due to differences in definitions and methodology between cohorts. This study aimed to develop a method for adjudicating SCD cases in research settings and to describe uniform case definitions of SCD in an international consortium harmonizing multiple longitudinal study cohorts.

METHODS

The harmonized SCD definitions include both case definitions using data from multiple sources (eg, autopsy reports, medical history, eyewitnesses) as well as a method using only information from registers (eg, cause of death registers, ICD-10 codes). Validation of the register-based method was done within the consortium using the multiple sources definition as gold standard and presenting sensitivity, specificity, accuracy and positive predictive value.

RESULTS

Consensus definitions of "definite," "possible" and "probable" SCD for longitudinal study cohorts were reached. The definitions are based on a stratified approach to reflect the level of certainty of diagnosis and degree of information. The definitions can be applied to both multisource and register-based methods. Validation of the method using register-information in a cohort comprising 1335 cases yielded a sensitivity of 74%, specificity of 88%, accuracy of 86%, and positive predictive value of 54%.

CONCLUSIONS

This study demonstrated that a harmonization of SCD classification across different methodological approaches is feasible. The developed classification can be used to study SCD in longitudinal cohorts and to merge cohorts with different levels of information.

Cardiovascular Health at Age 5 Years: Distribution, Determinants, and Association With Neurodevelopment

BACKGROUND

Early childhood may represent an opportune time to commence primordial prevention of cardiovascular disease (CVD, i.e., prevention of risk factors onset), but epidemiological evidence is scarce. We aimed to examine the distribution and parental and early life determinants of ideal cardiovascular health (CVH) in children up to 5 years and to compare the level of cognitive development between children with and without ideal CVH at age 5 years.

METHODS

Using data from the Etude sur les déterminants pré et post natals précoces du Développement psychomoteur et de la santé de l'Enfant (EDEN) study, a French population-based mother-child cohort study, CVH was examined in children at 5 years of age based on the American Heart Association CVH metrics (ideal body mass index, physical activity, diet, blood pressure, cholesterol and glucose levels, and passive smoking, considered in sensitivity analysis only). Children were categorized as having ideal (five to six ideal metrics) or non-ideal CVH (<5 ideal metrics). Intelligence quotient (IQ) at age 5 years was assessed using the French version of the Wechsler Preschool and Primary Scale of Intelligence.

RESULTS

Among the 566 children (55% boys), only 34% had ideal CVH. In fully adjusted logistic regression, boys compared to girls (OR = 1.77, 95% CI 1.13-2.78), children with intermediate (1.77, 1.05-2.98) or ideal (2.58, 1.38-4.82) behavioral CVH at age 3 years and children who spent < 30 min/day watching television (1.91, 1.09-3.34) at age 3 years were more likely to have ideal CVH at age 5 years. At age 5 years, there was a significant 2.98-point difference (95% CI 0.64-5.32) in IQ between children with and without ideal biological CVH after adjusting for confounders.

CONCLUSION

This study highlights that only a third of children aged 5 years had ideal CVH and identified modifiable determinants of ideal CVH and is suggestive of an association between CVH and neurodevelopment at a young age.

Care management and 90-day post discharge mortality in patients hospitalized for myocardial infarction and COVID-19: A French nationwide observational study

BACKGROUND

Concomitant or cured coronavirus disease 2019 (COVID-19) in patients with myocardial infarction (MI) may lead to difficulties in acute care management and impair prognosis.

AIMS

To describe and compare the characteristics, care management and 90-day post discharge outcomes of patients hospitalized for MI who did not have COVID-19 with those of patients with concomitant or previous hospital-diagnosed COVID-19.

METHODS

This population-based French study included all patients hospitalized for MI in France (30 December 2019 to 04 October 2020) from the French National Health Data System. Outcomes were described for each COVID-19 group and compared using adjusted logistic regression analysis.

RESULTS

Among 55,524 patients hospitalized for MI, 135 had previous hospital-diagnosed COVID-19 and 329 had concomitant COVID-19. Patients with previous hospital-diagnosed COVID-19 had more personal history of cardiovascular diseases than those without concomitant/previous confirmed COVID-19. In-hospital and 90-day post discharge mortality rates of patients with previous COVID-19 were 8.1% and 4.0%, respectively, compared with 3.5% and 3.0% in patients without concomitant/previous confirmed COVID-19 (odds ratio [OR]_{adjin-hospital} 1.83, 95% confidence interval [CI] 0.97-3.46; OR_{adjpostdischarge} 0.77, 95% CI 0.28-2.13). Patients with concomitant COVID-19 had more personal history of cardiovascular diseases, but also a poorer prognosis than their no concomitant/no previous confirmed COVID-19 counterparts; they presented excess cardiac complications during hospitalization (OR_adj 1.62, 95% CI 1.29-2.04), in-hospital mortality (OR_adj 3.31, 95% CI 2.32-4.72) and 90-day post discharge mortality (OR_adj 2.09, 95% CI 1.24-3.51).

CONCLUSIONS

In-hospital and 90-day post discharge mortality of patients hospitalized for MI who had previous hospital-diagnosed COVID-19 did not seem to differ from those hospitalized for MI alone. Conversely, concomitant COVID-19 and MI carried a poorer prognosis extending beyond the hospital stay. Special attention should be given to patients with simultaneous COVID-19 and MI, in terms of acute care and secondary prevention.

Oral Condition and Incident Coronary Heart Disease: A Clustering Analysis

Poor oral health has been linked to coronary heart disease (CHD). Clustering clinical oral conditions routinely recorded in adults may identify their CHD risk profile. Participants from the Paris Prospective Study 3 received, between 2008 and 2012, a baseline routine full-mouth clinical examination and an extensive physical examination and were thereafter followed up every 2 y until September 2020. Three axes defined oral health conditions: 1) healthy, missing, filled, and decayed teeth; 2) masticatory capacity denoted by functional masticatory units; and 3) gingival inflammation and dental plaque. Hierarchical cluster analysis was performed with multivariate Cox proportional hazards regression models and adjusted for age, sex, smoking, body mass index, education, deprivation (EPICES score; Evaluation of Deprivation and Inequalities in Health Examination Centres), hypertension, type 2 diabetes, LDL and HDL serum cholesterol (low- and high-density lipoprotein), triglycerides, lipid-lowering medications, NT-proBNP and IL-6 serum level. A sample of 5,294 participants (age, 50 to 75 y; 37.10% women) were included in the study. Cluster analysis identified 3,688 (69.66%) participants with optimal oral health and preserved masticatory capacity (cluster 1), 1,356 (25.61%) with moderate oral health and moderately impaired masticatory capacity (cluster 2), and 250 (4.72%) with poor oral health and severely impaired masticatory capacity (cluster 3). After a median follow-up of 8.32 y (interquartile range, 8.00 to 10.05), 128 nonfatal incident CHD events occurred. As compared with cluster 1, the risk of CHD progressively increased from cluster 2 (hazard ratio, 1.45; 95% CI, 0.98 to 2.15) to cluster 3 (hazard ratio, 2.47; 95% CI, 1.34 to 4.57; P < 0.05 for trend). To conclude, middle-aged individuals with poor oral health and severely impaired masticatory capacity have more than twice the risk of incident CHD than those with optimal oral health and preserved masticatory capacity (ClinicalTrials.gov NCT00741728).

Myocardial infarction throughout 1 year of the COVID-19 pandemic: French nationwide study of hospitalization rates, prognosis and 90-day mortality rates

Background

Studies reported a decrease in hospital admissions for myocardial infarction (MI) in early 2020 as a result of the coronavirus disease 2019 (COVID-19) crisis, mainly restricted to the beginning of the pandemic.

Aims

To describe national trends in hospital admissions for MI in 2020, and to compare patient characteristics, in-hospital prognosis and 90-day mortality between patients who had an MI in 2020 and those admitted in 2017–2019.

Methods

All patients hospitalized for MI in France from 2017 to 2020 were selected from the national hospital discharge database. Analyses compared temporal trends in MI admissions, in-hospital cardiac complications and mortality rates in 2020 versus 2017–2019.

Results

In 2020, 94,747 patients were hospitalized for MI, corresponding to a 6% decrease in MI admissions compared with 2017–19. This decrease was larger during the first lockdown (–24%; P < 0.0001) than during the second lockdown (–8%; P < 0.0001). Reductions in MI admissions were more pronounced and longer among patients with non-ST-segment elevation MI, older people and women. An increase in ST-segment elevation MI admissions was observed between lockdowns (+4%; P = 0.0005). Globally, and after adjustment for age, sex and calendar year, in-hospital and 90-day post-discharge mortality rates did not differ in 2020 versus 2017–19: incidence rate ratio (IRR)_{adjin-hospital} 1.03, 95% confidence interval (CI) (0.98–1.08); IRR_{adj90-daypost-discharge} 1.06, 95% CI (0.98–1.13).

Conclusions

In 2020, a significant decrease in MI admissions was observed, and was marked at the beginning of the year. This highlights the need to disseminate public information on the importance of maintaining care and regular medical follow-up. The effect of the COVID-19 crisis on acute and 3-month outcomes of patients hospitalized for MI appears limited. Nevertheless, monitoring of chronic MI complications and the impact on non-hospitalized patients should continue.

Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study

BACKGROUND

Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to enhance risk stratification for kidney transplant recipients by generating continuously refined predictions of survival using updates of clinical data.

METHODS

In this observational study, we used data from adult recipients of kidney transplants from 18 academic transplant centres in Europe, the USA, and South America, and a cohort of patients from six randomised controlled trials. The development cohort comprised patients from four centres in France, with all other patients included in external validation cohorts. To build deeply phenotyped cohorts of transplant recipients, the following data were collected in the development cohort: clinical, histological, immunological variables, and repeated measurements of estimated glomerular filtration rate (eGFR) and proteinuria (measured using the proteinuria to creatininuria ratio). To develop a dynamic prediction system based on these clinical assessments and repeated measurements, we used a Bayesian joint models-an artificial intelligence approach. The prediction performances of the model were assessed via discrimination, through calculation of the area under the receiver operator curve (AUC), and calibration. This study is registered with ClinicalTrials.gov, NCT04258891.

FINDINGS

13 608 patients were included (3774 in the development cohort and 9834 in the external validation cohorts) and contributed 89 328 patient-years of data, and 416 510 eGFR and proteinuria measurements. Bayesian joint models showed that recipient immunological profile, allograft interstitial fibrosis and tubular atrophy, allograft inflammation, and repeated measurements of eGFR and proteinuria were independent risk factors for allograft survival. The final model showed accurate calibration and very high discrimination in the development cohort (overall dynamic AUC 0·857 [95% CI 0·847-0·866]) with a persistent improvement in AUCs for each new repeated measurement (from 0·780 [0·768-0·794] to 0·926 [0·917-0·932]; p<0·0001). The predictive performance was confirmed in the external validation cohorts from Europe (overall AUC 0·845 [0·837-0·854]), the USA (overall AUC 0·820 [0·808-0·831]), South America (overall AUC 0·868 [0·856-0·880]), and the cohort of patients from randomised controlled trials (overall AUC 0·857 [0·840-0·875]).

INTERPRETATION

Because of its dynamic design, this model can be continuously updated and holds value as a bedside tool that could refine the prognostic judgements of clinicians in everyday practice, hence enhancing precision medicine in the transplant setting.

FUNDING

MSD Avenir, French National Institute for Health and Medical Research, and Bettencourt Schueller Foundation.

Microvascular Contribution to Late-Onset Depression: Mechanisms, Current Evidence, Association With Other Brain Diseases, and Therapeutic Perspectives

Depression is common in older individuals and is associated with high disability and mortality. A major problem is treatment resistance: >50% of older patients do not respond to current antidepressants. Therefore, new effective interventions for prevention and treatment of depression in older individuals need to be developed, which requires a better understanding of the mechanisms underlying depression. The pathophysiology of depression is multifactorial and complex. Microvascular dysfunction may be an early and targetable mechanism in the development of depression, notably depression that initiates in late life (late-onset depression). Late-onset depression commonly co-occurs with other diseases or syndromes that may share a microvascular origin, including apathy, cognitive impairment, dementia, and stroke. Together, these disabilities may all be part of one large phenotype resulting from global cerebral microvascular dysfunction. In this review, we discuss the pathophysiology of microvascular dysfunction-related late-onset depression, summarize recent epidemiological evidence on the association between cerebral microvascular dysfunction and depression, and indicate potential drivers of cerebral microvascular dysfunction. We also propose the hypothesis that depression may be a manifestation of a larger phenotype of cerebral microvascular dysfunction, highlight potential therapeutic targets and interventions, and give directions for future research.

Sleep Apnea is Associated With Accelerated Vascular Aging: Results From 2 European Community-Based Cohort Studies

Background The mechanisms underlying the association between obstructive sleep apnea (OSA) and cardiovascular disease may include accelerated vascular aging. The aim was to compare the magnitude of vascular aging in patients with high versus low risk of OSA. Methods and Results In 2 community-based studies, the PPS3 (Paris Prospective Study 3) and the Maastricht Study, high risk of OSA was determined with the Berlin questionnaire (a screening questionnaire for OSA). We assessed carotid artery properties (carotid intima-media thickness, Young's elastic modulus, carotid-femoral pulse wave velocity, carotid pulse wave velocity, carotid diameter using high precision ultrasound echography), and carotid-femoral pulse wave velocity (in the Maastricht Study only). Regression coefficients were estimated on pooled data using multivariate linear regression. A total of 8615 participants without prior cardiovascular disease were included (6840 from PPS3, 62% men, mean age 59.5±6.2 years, and 1775 from the Maastricht Study, 51% men, 58.9±8.1 years). Overall, high risk of OSA prevalence was 16.8% (n=1150) in PPS3 and 23.8% (n=423) in the Maastricht Study. A high risk of OSA was associated with greater carotid intima-media thickness (β=0.21; 0.17-0.26), Young's elastic modulus (β=0.21; 0.17-0.25), carotid-femoral pulse wave velocity (β=0.24; 0.14-0.34), carotid pulse wave velocity (β=0.31; 0.26-0.35), and carotid diameter (β=0.43; 0.38-0.48), after adjustment for age, sex, total cholesterol, smoking, education level, diabetes mellitus, heart rate, and study site. Consistent associations were observed after additional adjustments for mean blood pressure, body mass index, or antihypertensive medications. Conclusions These data lend support for accelerated vascular aging in individuals with high risk of OSA. This may, at least in part, underlie the association between OSA and cardiovascular disease.

Socioeconomic inequalities in dementia risk among a French population-based cohort: quantifying the role of cardiovascular health and vascular events

This study aimed to investigate the role of cardiovascular health (CVH) and vascular events as potential contributors to socioeconomic inequalities in dementia using causal mediation analyses. We used data from the Three-City Cohort, a French population-based study with 12 years of follow-up, with active search of dementia cases and validated diagnosis. Individual socioeconomic status was assessed using education, occupation and income. A CVH score as defined by the American Heart Association and incident vascular events were considered separately as mediators. We performed multi-level Cox proportional and Aalen additive hazard regression models to estimate the total effects of socioeconomic status on dementia risk. To estimate natural direct and indirect effects through CVH and vascular events, we applied two distinct weighting methods to quantify the role of CVH and vascular events: Inverse Odds Ratio Weighting (IORW) and Marginal Structural Models (MSM) respectively. Among 5581 participants, the risk of dementia was higher among participants with primary education (HR 1.60, 95%CI 1.44–1.78), blue-collar workers (HR 1.62, 95%CI 1.43–1.84) and with lower income (HR 1.23, 95%CI 1.09–1.29). Using additive models, 571 (95% CI 288–782) and 634 (95% CI 246–1020) additional cases of dementia per 100 000 person and year were estimated for primary education and blue-collar occupation, respectively. Using IORW, the CVH score mediate the relationship between education or income, and dementia (proportion mediated 17% and 26%, respectively). Yet, considering vascular events as mediator, MSM generated indirect effects that were smaller and more imprecise. Socioeconomic inequalities in dementia risk were observed but marginally explained by CVH or vascular events mediators.

Poor Masticatory Capacity and Blood Biomarkers of Elevated Cardiovascular Disease Risk in the Community: The Paris Prospective Study III

[Figure: see text].

Genome-wide association analysis in dilated cardiomyopathy reveals two new players in systolic heart failure on chromosomes 3p25.1 and 22q11.23

AIMS

Our objective was to better understand the genetic bases of dilated cardiomyopathy (DCM), a leading cause of systolic heart failure.

METHODS AND RESULTS

We conducted the largest genome-wide association study performed so far in DCM, with 2719 cases and 4440 controls in the discovery population. We identified and replicated two new DCM-associated loci on chromosome 3p25.1 [lead single-nucleotide polymorphism (SNP) rs62232870, P = 8.7 × 10-11 and 7.7 × 10-4 in the discovery and replication steps, respectively] and chromosome 22q11.23 (lead SNP rs7284877, P = 3.3 × 10-8 and 1.4 × 10-3 in the discovery and replication steps, respectively), while confirming two previously identified DCM loci on chromosomes 10 and 1, BAG3 and HSPB7. A genetic risk score constructed from the number of risk alleles at these four DCM loci revealed a 3-fold increased risk of DCM for individuals with 8 risk alleles compared to individuals with 5 risk alleles (median of the referral population). In silico annotation and functional 4C-sequencing analyses on iPSC-derived cardiomyocytes identify SLC6A6 as the most likely DCM gene at the 3p25.1 locus. This gene encodes a taurine transporter whose involvement in myocardial dysfunction and DCM is supported by numerous observations in humans and animals. At the 22q11.23 locus, in silico and data mining annotations, and to a lesser extent functional analysis, strongly suggest SMARCB1 as the candidate culprit gene.

CONCLUSION

This study provides a better understanding of the genetic architecture of DCM and sheds light on novel biological pathways underlying heart failure.

Assessment of the Utility of Kidney Histology as a Basis for Discarding Organs in the United States: A Comparison of International Transplant Practices and Outcomes

BACKGROUND

Many kidneys donated for transplant in the United States are discarded because of abnormal histology. Whether histology adds incremental value beyond usual donor attributes in assessing allograft quality is unknown.

METHODS

This population-based study included patients who received a deceased donor kidney that had been biopsied before implantation according to a prespecified protocol in France and Belgium, where preimplantation biopsy findings are generally not used for decision making in the allocation process. We also studied kidneys that had been acquired from deceased United States donors for transplantation that were biopsied during allocation and discarded because of low organ quality. Using donor and recipient characteristics, we fit multivariable Cox models for death-censored graft failure and examined whether predictive accuracy (C index) improved after adding donor histology. We matched the discarded United States kidneys to similar kidneys transplanted in Europe and calculated predicted allograft survival.

RESULTS

In the development cohort of 1629 kidney recipients at two French centers, adding donor histology to the model did not significantly improve prediction of long-term allograft failure. Analyses using an external validation cohort from two Belgian centers confirmed the lack of improved accuracy from adding histology. About 45% of 1103 United States kidneys discarded because of histologic findings could be accurately matched to very similar kidneys that had been transplanted in France; these discarded kidneys would be expected to have allograft survival of 93.1% at 1 year, 80.7% at 5 years, and 68.9% at 10 years.

CONCLUSIONS

In this multicenter study, donor kidney histology assessment during allocation did not provide substantial incremental value in ascertaining organ quality. Many kidneys discarded on the basis of biopsy findings would likely benefit United States patients who are wait listed.

Depressive symptoms and non-adherence to treatable cardiovascular risk factors' medications in the CONSTANCES cohort

AIMS

Depression is associated with increased risk of cardiovascular disease (CVD) and the role of poor medical adherence is mostly unknown. We studied the association between depressive symptoms and non-adherence to medications targeting treatable cardiovascular risk factors in the CONSTANCES population-based French cohort.

METHODS AND RESULTS

We used CONSTANCES data linked to the French national healthcare database to study the prospective association between depressive symptoms (assessed at inclusion with the Center for Epidemiological Studies Depression scale) and non-adherence to medications (less than 80% of trimesters with at least one drug dispensed) treating type 2 diabetes, hypertension, and dyslipidaemia over 36 months of follow-up. Binary logistic regression models were adjusted for socio-demographics, body mass index, and personal history of CVD at inclusion. Among 4998 individuals with hypertension, 793 with diabetes, and 3692 with dyslipidaemia at baseline, respectively 13.1% vs. 11.5%, 10.5% vs. 5.8%, and 29.0% vs. 27.1% of those depressed vs. those non-depressed were non-adherent over the first 18 months of follow-up (15.9% vs. 13.6%, 11.1% vs. 7.4%, and 34.8% vs. 36.6% between 19 and 36 months). Adjusting for all covariates, depressive symptoms were neither associated with non-adherence to medications for hypertension, diabetes, and dyslipidaemia over the first 18 months of follow-up, nor afterwards. Depressive symptoms were only associated with non-adherence to anti-diabetic medications between the first 3-6 months of follow-up.

CONCLUSION

Non-adherence to medications targeting treatable cardiovascular risk factors is unlikely to explain much of the association between depressive symptoms and CVD at a population level. Clinicians are urged to search for and treat depression in individuals with diabetes to foster medications adherence.

Early and Supernormal Vascular Aging: Clinical Characteristics and Association With Incident Cardiovascular Events

Pulse wave velocity is an established marker of early vascular aging but may also help identifying individuals with supernormal vascular aging. We tested the hypothesis that individuals with the largest difference (Δ-age) between chronological and vascular age show the lowest rate of cardiovascular events and may thus be defined as supernormal vascular aging. Vascular age was defined as the predicted age in the best fitting multivariable regression model including classical risk factors and treatment and pulse wave velocity, in a subset of the Reference Values for Arterial Stiffness Collaboration Database (n=3347). Δ-age was then calculated as chronological age minus vascular age, and the 10th and 90th percentiles were used to define early (Δ-age<-5.7 years), normal (Δ-age -5.7 to 6.8 years) and supernormal vascular aging (Δ-age>6.8 years). The risk for fatal and nonfatal cardiovascular events associated with vascular aging categories was investigated in the Malmö Diet and Cancer Study cohort (n=2642). In the Malmö Diet and Cancer Study Cohort (6.6-year follow-up, 286 events), Δ-age was significantly (P<0.01) and inversely associated with cardiovascular events. Compared with normal vascular aging, supernormal vascular aging had lower risk (hazard ratio, 0.59 [95% CI, 0.41-0.85]), whereas early vascular aging had higher risk (hazard ratio, 2.70 [95% CI, 1.55-4.70]) of cardiovascular events, in particular coronary events. There was no significant association with all-cause mortality. This study represents the first validation of the clinical significance of the supernormal vascular aging concept, based on prospective data. Its further characterization may help discovering novel protective molecular pathways and providing preventive strategies for successful vascular aging.

Depression, antidepressants and low hemoglobin level in the Paris Prospective Study III: A cross-sectional analysis

Anemia is known to be associated with depression both in community and clinical populations. However, it is still unknown if this association depends or not on antidepressant intake. We investigated the respective association of depression and antidepressant intake with low hemoglobin level in a large community-based cohort. In 8640 volunteers aged 50 to 75 recruited between June 2008 and June 2012 in Paris (France), we assessed hemoglobin levels (g/dl), depressive symptoms and antidepressant intake. We examined the association of both depression and antidepressant intake with hemoglobin level, adjusting for numerous socio-demographic and health variables. We also assessed the association with specific antidepressant classes. Depression and antidepressant intake were independently associated with lower hemoglobin level (β = -0.074; p = .05 and β = -0.100; p = .02 respectively in the fully-adjusted model). Regarding antidepressant classes, selective serotonin reuptake inhibitors (SSRIs) and serotonin-norepinephrine reuptake inhibitors (SNRIs) intake were associated with lower hemoglobin level (β = -0.11; p = .01). To conclude, both depression and antidepressant intake were associated with lower hemoglobin level. In particular, as SSRI or SNRIs intake was also related to lower hemoglobin level, these classes should be used with caution in depressed individuals at risk for anemia.

Sleep apnoea is associated with hearing impairment: The Paris prospective study 3

OBJECTIVES

Hearing impairment (HI) is a leading impairment worldwide, and identifying modifiable risk factors of HI may have major public health implications. The aim of this study was to investigate the association between obstructive sleep apnoea (OSA) and HI.

DESIGN

Observational longitudinal study (the Paris Prospective Study 3).

SETTING

Population-based.

PARTICIPANTS

Volunteers aged 50-75 years and consulting at a preventive medical centre were included between 2008 and 2012. 6797 participants were included in the present analysis.

MAIN OUTCOME MEASURES

Audiometry testing was performed in both ears in all participants, and HI was defined by a pure-tone average (PTA) >25 decibels (dB) hearing level in the better ear.

RESULTS

Obstructive sleep apnoea (estimated by the Berlin questionnaire) was present in 18.6% (n = 1267) and HI in 13.9% (n = 947) of the participants. Mean age was 59.5 years (SD 6.2) and 63.5% were male (n = 4317). In multiple logistic regression modelling, OSA was significantly associated with a 1.21-increased odds of HI (95% confidence interval 1.01-1.44). Several sensitivity analyses supported this finding.

CONCLUSION

Obstructive sleep apnoea is associated with a 21% increased odds of HI. These results support active screening of HI in subjects with OSA, and future studies should evaluate whether the treatment of OSA can delay the onset of HI.

Identification and Characterization of Trajectories of Cardiac Allograft Vasculopathy After Heart Transplantation: A Population-Based Study

BACKGROUND

Cardiac allograft vasculopathy (CAV) is a major contributor of heart transplant recipient mortality. Little is known about the prototypes of CAV trajectories at the population level. We aimed to identify the different evolutionary profiles of CAV and to determine the respective contribution of immune and nonimmune factors in CAV development.

METHODS

Heart transplant recipients were from 4 academic centers (Pitié-Salpêtrière and Georges Pompidou Hospital, Paris, Katholieke Universiteit Leuven, and Cedars-Sinai, Los Angeles; 2004-2016). Patients underwent prospective, protocol-based monitoring consisting of repeated coronary angiographies together with systematic assessments of clinical, histological, and immunologic parameters. The main outcome was a prediction for CAV trajectory. We identified CAV trajectories by using unsupervised latent class mixed models. We then identified the independent predictive variables of the CAV trajectories and their association with mortality.

RESULTS

A total of 1301 patients were included (815 and 486 in the European and US cohorts, respectively). The median follow-up after transplantation was 6.6 (interquartile range, 4-9.1) years with 4710 coronary angiographies analyzed. We identified 4 distinct profiles of CAV trajectories over 10 years. The 4 trajectories were characterized by (1) patients without CAV at 1 year and nonprogression over time (56.3%), (2) patients without CAV at 1 year and late-onset slow CAV progression (7.6%), (3) patients with mild CAV at 1 year and mild progression over time (23.1%), and (4) patients with mild CAV at 1 year and accelerated progression (13.0%). This model showed good discrimination (0.92). Among candidate predictors assessed, 6 early independent predictors of these trajectories were identified: donor age (P<0.001), donor male sex (P<0.001), donor tobacco consumption (P=0.001), recipient dyslipidemia (P=0.009), class II anti-human leukocyte antigen donor-specific antibodies (P=0.004), and acute cellular rejection ≥2R (P=0.028). The 4 CAV trajectories manifested consistently in the US independent cohort with similar discrimination (0.97) and in different clinical scenarios, and showed gradients for overall-cause mortality (P<0.001).

CONCLUSIONS

In a large multicenter and highly phenotyped prospective cohort of heart transplant recipients, we identified 4 CAV trajectories and their respective independent predictive variables. Our results provide the basis for a trajectory-based assessment of patients undergoing heart transplantation for early risk stratification, patient monitoring, and clinical trials. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT04117152.

Hostility, depression and incident cardiac events in the GAZEL cohort

BACKGROUND

Psychological factors such as hostility and depression have been associated with cardiovascular disease. However, their role in predicting incident cardiac events independently one of another is not clear.

METHODS

Among 10,304 GAZEL middle-aged workers free of cardiovascular diseases in 1993, 581 incident cardiac events were validated from 1994-2014. Hostile traits (cognitive hostility, behavioral hostility, irritability and negativism) were assessed with the Buss and Durkee Hostility Inventory at baseline. Depressive symptoms were assessed at baseline and every three years with the Center for Epidemiological Studies Depression scale. We used Cox proportional hazards models to calculate hazard ratios (HR) of hostile traits for incident cardiac events adjusting for baseline self-reported socio-demographics and family history of coronary heart diseases (model 1), then additionally for time-dependent depressive symptoms (either as a binary or continuous variable) (model 2) and for yearly self-reported modifiable cardiovascular risk factors (physical activity, smoking, body mass index, diabetes, dyslipidemia and hypertension) (model 3).

RESULTS

In Model 1, the only hostile trait associated with incident cardiac events was irritability (HR for one interquartile range: 1.16, 95% confidence interval: 1.02-1.32). This association was no longer statistically significant when further adjusting for depressive symptoms. Depressive symptoms, in turn, remained significant predictors of cardiac events with HRs ranging from 1.40-1.49 (binary).

LIMITATIONS

Hostility traits were measured only once.

CONCLUSIONS

Depressive symptoms might explain the association between irritability and cardiac events and should therefore be prioritized in interventions aiming to prevent cardiovascular disease. Further research is needed to identify the mechanisms underlying this association.