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- Camen, S., et al.
(författare)
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Temporal relations between atrial fibrillation and ischemic stroke and their prognostic impact on mortality
- 2018
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Ingår i: European Heart Journal. - : Oxford University Press. - 0195-668X .- 1522-9645. ; 39, s. 204-205
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Introduction: Atrial fibrillation (AF) and stroke are common diseases and AF is a well-established risk factor for stroke. The physiological mechanism of atrial dysfunction, disturbed hemodynamics and arterial thromboembolism links the pathologies. However, limited evidence is available on the temporal relationship between stroke and AF and the impact of subsequent disease onset on mortality in the community.Methods and results: Across five prospective community cohorts (DanMONICA, FINRISK, Moli-Sani project, Northern Sweden MONICA study, The Tromsø Study) of the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE)-project we assessed baseline cardiovascular risk factors in 101164 individuals, median age 46.1 (25th, 75th percentile 35.8, 57.6) years, 48.4% men. We followed them for incident stroke and AF and determined the relation of subsequent disease diagnosis with overall mortality. Follow-up (FU) for stroke and AF was based upon linkage with national hospitalization registries or administrative registries for ambulatory visits to specialized hospitals.Over a median FU of 16.1 years N=4556 individuals were diagnosed solely with AF, N=2269 had a stroke but no AF diagnosed, and N=898 developed both stroke and AF during FU. Participants who developed either AF or stroke as the index event revealed a similar baseline risk factor profile. Temporal relations showed a peak of the diagnosis of both diseases within the years around the diagnosis of the other disease. The highest incidence rates of stroke were observed within a five-year interval prior to AF diagnosis. Cox regression showed an association of baseline stroke with diagnosis of AF during FU (hazard ratio (HR) 1.29; 95% confidence interval (CI) 1.11–1.50; p<0.001).In multivariable-adjusted Cox regression analyses with time-dependent covariates excluding individuals with diagnosis of both AF and stroke or death within 30 days, subsequent diagnosis of AF after stroke was associated with a higher overall mortality (HR, 3.51; 95% CI 1.87–6.59; p<0.001); subsequent stroke after the diagnosis of AF was associated with a HR of 2.39 (95% CI 1.59–3.60; p<0.001).Conclusions: Stroke and AF are common comorbidities in older adults with an overlapping risk factor profile. The temporal relations appear to be bidirectional, although uncertainty regarding disease onset remains due to the often paroxysmal and asymptomatic nature of AF. Stroke may precede detection of AF by years. The subsequent diagnosis of both diseases significantly increases mortality risk. Whether targeting modifiable risk factors or improved screening for AF after stroke would improve survival needs to be determined.
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- Csengeri, D., et al.
(författare)
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Alcohol consumption and risk of atrial fibrillation - results from the BiomarCaRE Consortium
- 2018
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Ingår i: European Heart Journal. - : Oxford University Press. - 0195-668X .- 1522-9645. ; 39, s. 902-903
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Atrial fibrillation (AF) is an arrhythmia with high impact on public health. Among modifiable risk factors for the disease the role of alcohol consumption (AC) has remained inconsistent.Purpose: To assess the association between AC and incident AF across European cohorts.Methods: To study the association between self-reported AC and incident AF in N=107,845 community-based individuals from the BiomarCaRE consortium, 106,915 individuals free of AF at baseline were followed up for AF and stroke after AF. We assessed AC using validated questionnaires. Biomarkers N-terminal pro B-type natriuretic peptide (Nt-proBNP) and high sensitivity troponin I (hsTnI) were measured.Results: The median age of individuals was 47.8 years, 48.3% were men. The median of right-winsorized AC was 3 g/day. N=6,055 individuals developed AF (median follow-up time: 13.9 years). In a linear multivariable-adjusted Cox regression analyses, AC was linearly and positively associated with incident AF (Figure), hazard ratio (HR) per g/day 1.009, 95% confidence interval (CI) 1.007- 1.012, P<0.001. For one drink (12g) per day the HR was 1.15, CI 1.12–1.18, P<0.001. There was a high heterogeneity in associations across cohorts.No significant interactions of the association by Nt-proBNP and hsTnI were observed. AC was positively related to stroke risk after diagnosis of AF (HR 1.18, 95% CI 1.04–1.34, P=0.012).Conclusions: In contrast to other cardiovascular diseases, we did not observe a U-shaped association of alcohol with incident AF in the community, but a rather linearly increasing relation.
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- Hicks, B., et al.
(författare)
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Differential susceptibility to allostatic load and educational inequalities in coronary heart disease
- 2020
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Ingår i: European Journal of Public Health. - : Oxford University Press. - 1101-1262 .- 1464-360X. ; 30, s. V73-V73
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Differential exposure to lifestyle factors may mediate the association between education and cardiovascular disease (CVD). However, differential susceptibility (the effect of exposure to the same “dose” of risk factors differs across groups) may also elevate CVD risk but the causal pathways remain unclear. Allostatic Load (AL) is a marker of cumulative biological burden resulting from mal-adaptation to chronic stressors. We aimed to examine the role of differential exposure and susceptibility to AL and other factors in coronary heart disease (CHD) educational gradients in Europe.Methods: 51,328 35-74-year-old participants originally free of CVD from 21 European cohorts in the BiomarCaRE consortium were identified and followed for a median of 10 years to their first CHD event. We defined an AL score as the sum of z-scores of 8 markers from the cardiovascular, metabolic, and inflammatory systems. To investigate the mediating role of AL (and smoking, alcohol and BMI) on educational differences in CHD incidence we applied marginal structural models and three-way decomposition on gender-specific additive hazards models.Results: AL was a significant mediator of the association between educational status and CHD. The highest proportion mediated was observed in women, with 28% (95%CI 20% to 44%) attributable to differential exposure and 8% (95%CI 0% to 16%) to differential susceptibility. In men, AL mediated 16% of the increased CHD risk in the less educated, with 2% (95%CI 0%-6%) attributable to differential susceptibility. The effects of smoking, alcohol and BMI were relatively small for men and women, with a limited role of differential susceptibility.Conclusions: While we found evidence of differential susceptibility to AL on CHD, effects were modest and the mediating effect of AL (and other lifestyle factors) was predominately via differential exposure. Controlling disproportionate exposure to AL may help reduce CHD morbidity among those with lower education.
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- Kristensen, A., et al.
(författare)
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Simple cardiovascular risk stratification using anthropometric measures instead of serum cholesterol. The MORGAM Prospective Cohort Project
- 2020
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Ingår i: European Heart Journal. - : Oxford University Press. - 0195-668X .- 1522-9645. ; 41:Suppl 2, s. 2913-2913
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Body composition predicts cardiovascular outcomes, but it is uncertain whether anthropometric measures can replace the more expensive serum total cholesterol for cardiovascular risk stratification in low resource settings.Purpose: The purpose of the study was to compare the additive prognostic ability of serum total cholesterol with that of body mass index (BMI), waist/hip ratio (WHR), and estimated fat mass (EFM, calculated using a validated prediction equation), individually and combined.Methods: We used data from the MORGAM (MONICA, Risk, Genetics, Archiving, and Monograph) Prospective Cohort Project, an international pooling of cardiovascular cohorts, to determine the relationship between anthropometric measures, serum cholesterol, and cardiovascular events, using multivariable Cox proportional-hazards regression analysis. We further investigated the ability of these measures to enhance prognostication beyond a simpler prediction model, consisting of age, sex, smoking status, systolic blood pressures, and country, using comparison of area under the receiver operating characteristics curve (AUCROC) derived from binary logistic regression models. The primary endpoint was major adverse cardiovascular events (MACE), defined as a composite of death from coronary heart disease, myocardial infarction, or stroke.Results: The study population consisted of 52,188 apparently healthy subjects (56.3% men) aged 47±12 years ranging from 20 to 84, derived from 37 European cohorts, with baseline between 1982–2002 all followed for 10 years during which MACE occurred in 2465 (4.7%) subjects. All anthropometric measures (BMI: hazard ratio (HR) 1.04 [95% confidence interval (CI): 1.03–1.05] per kg/m2; WHR: HR 7.5 [4.0–14.0] per unit; EFM: HR 1.02 [1.01–1.02] per kg) as well as serum total cholesterol (HR 1.20 [1.16–1.24] per mmol/l) were significantly associated with MACE (P<0.001 for all), independently of age, sex, smoking status, systolic blood pressures, and country. The addition of serum cholesterol significantly improved the predictive ability of the simple model (AUCROC 0.818 vs. 0.814, P<0.001), as did the combination of WHR, BMI, and EFM (AUCROC 0.817 vs. 0.814, P=0.004). When assessed individually, BMI (AUCROC 0.816 vs. 0.814, P=0.004) and WHR (AUCROC 0.815 vs. 0.814, P=0.02) improved model performance, while EFM narrowly missed significance (AUCROC 0.815 vs. 0.814, P=0.06). There was no significant difference in the predictive ability of a model including serum cholesterol versus that including all three anthropometric measures (AUCROC 0.818 vs. 0.817, P=0.13). The figure shows the pertinent areas under the ROC curve in predicting MACE.Conclusion: In this large population-based cohort study, the addition of a combination of anthropometric measures, i.e. BMI, WHR, and EFM, raised the predictive ability of a simple prognostic model comparable to that obtained by the addition of serum total cholesterol.
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