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BACKGROUND: We investigated the potential impact of antihypertensive drugs for atrial fibrillation (AF) prevention through a drug target Mendelian randomization study to avoid the potential limitations of clinical studies. METHODS: Validated published single-nucleotide polymorphisms (SNPs) that mimic the action of 12 antihypertensive drug classes, including alpha-adrenoceptor blockers, adrenergic neuron blockers, angiotensin-converting enzyme inhibitors, angiotensin-II receptor blockers, beta-adrenoceptor blockers, centrally acting antihypertensive drugs, calcium channel blockers, loop diuretics, potassium-sparing diuretics and mineralocorticoid receptor antagonists, renin inhibitors, thiazides and related diuretic agents, and vasodilators were used. We estimated, via their corresponding gene and protein targets, the downstream effect of these drug classes to prevent AF via systolic blood pressure using 2-sample Mendelian randomization analyses. The SNPs were extracted from 2 European genome-wide association studies for the drug classes (n=317 754; n=757 601) and 1 European genome-wide association study for AF (n=1 030 836). RESULTS: Drug target Mendelian randomization analyses supported the significant preventive causal effects of lowering systolic blood pressure per 10 mm Hg via alpha-adrenoceptor blockers (n=11 SNPs; odds ratio [OR], 0.34 [95% CI, 0.21-0.56]; P=2.74×10-05), beta-adrenoceptor blockers (n=17 SNPs; OR, 0.52 [95% CI, 0.35-0.78]; P=1.62×10-03), calcium channel blockers (n=49 SNPs; OR, 0.50 [95% CI, 0.36-0.70]; P=4.51×10-05), vasodilators (n=19 SNPs; OR, 0.53 [95% CI, 0.34-0.84]; P=7.03×10-03), and all 12 antihypertensive drug classes combined (n=158 SNPs; OR, 0.64 [95% CI, 0.54-0.77]; P=8.50×10-07) on AF risk. CONCLUSIONS: Our results indicated that lowering systolic blood pressure via protein targets of various antihypertensive drugs seems promising for AF prevention. Our findings inform futur

BACKGROUND: Most patients with atherosclerotic cardiovascular disease remain at (very) high risk for recurrent events due to suboptimal risk factor control. AIMS: This study aimed to quantify the potential of maximal risk factor treatment on 10-year and lifetime risk of recurrent atherosclerotic cardiovascular events in patients 1 year after a coronary event. METHODS AND RESULTS: Pooled data from six studies are as follows: RESPONSE 1, RESPONSE 2, OPTICARE, EUROASPIRE IV, EUROASPIRE V, and HELIUS. Patients aged ≥45 years at ≥6 months after coronary event were included. The SMART-REACH score was used to estimate 10-year and lifetime risk of recurrent atherosclerotic cardiovascular events with current treatment and potential risk reduction and gains in event-free years with maximal treatment (lifestyle and pharmacological). In 3230 atherosclerotic cardiovascular disease patients (24% women), at median interquartile range (IQR) 1.1 years (1.0-1.8) after index event, 10-year risk was median (IQR) 20% (15-27%) and lifetime risk 54% (47-63%). Whereas 70% used conventional medication, 82% had ≥1 drug-modifiable risk factor not on target. Furthermore, 91% had ≥1 lifestyle-related risk factor not on target. Maximizing therapy was associated with a potential reduction of median (IQR) 10-year risk to 6% (4-8%) and of lifetime risk to 20% (15-27%) and a median (IQR) gain of 7.3 (5.4-10.4) atherosclerotic cardiovascular disease event-free years. CONCLUSIONS: Amongst patients with atherosclerotic cardiovascular disease, maximizing current, guideline-based preventive therapy has the potential to mitigate a large part of their risk of recurrent events and to add a clinically important number of event-free years to their lifetime.

Analyses from administrative databases have suggested an increased cancer incidence among individuals who experienced a myocardial infarction, especially within the first 6 months. It remains unclear to what extent this represents an underlying biological link, or can be explained by detection of pre-symptomatic cancers and shared risk factors.Cancer incidence among 1809 consecutive patients surviving hospitalization for thrombotic ST-segment-elevation myocardial infarction (STEMI; mean age 62.6 years; 26% women; 115 incident cancers) was compared to the cancer incidence among 10,052 individuals of the general population (Rotterdam Study; mean age 63.1 years; 57% women; 677 incident cancers). Pathology-confirmed cancer diagnoses were obtained through identical linkage of both cohorts with the Netherlands Cancer Registry. Cox models were used to obtain hazards ratios (HRs) adjusted for factors associated with both atherosclerosis and cancer. Over 5-year follow-up, there was no significant difference in the incidence of cancer between STEMI patients and the general population (HR 0.96, 95% CI 0.78–1.19). In the first 3 months after STEMI, cancer incidence was markedly higher among STEMI patients compared to the general population (HR 2.45, 95% CI 1.13–5.30), which gradually dissolved during follow-up (P-for-trend 0.004). Among STEMI patients, higher C-reactive protein, higher platelet counts, and lower hemoglobin were associated with cancer incidence during the first year after STEMI (HRs 2.93 for C-reactive protein > 10 mg/dL, 2.10 for platelet count > 300*109, and 3.92 for hemoglobin < 7.5 mmol/L). Although rare, thrombotic STEMI might be a paraneoplastic manifestation of yet to be diagnosed cancer, and is hallmarked by a pro-inflammatory status and anemia. Trial registration Registered into the Netherlands National Trial Register and WHO International Clinical Trials Registry Platform under shared catalogue number NTR6831.

Background: Sex differences and causality of the association between heart rate variability (HRV) and atrial fibrillation (AF) in the general population remain unclear. Methods: 12,334 participants free of AF from the population-based Rotterdam Study were included. Measures of HRV including the standard deviation of normal RR intervals (SDNN), SDNN corrected for heart rate (SDNNc), RR interval differences (RMSSD), RMSSD corrected for heart rate (RMSSDc), and heart rate were assessed at baseline and follow-up examinations. Joint models, adjusted for cardiovascular risk factors, were used to determine the association between longitudinal measures of HRV with new-onset AF. Genetic variants for HRV were used as instrumental variables in a Mendelian randomization (MR) analysis using genome-wide association studies (GWAS) summary-level data. Results: During a median follow-up of 9.4 years, 1302 incident AF cases occurred among 12,334 participants (mean age 64.8 years, 58.3% women). In joint models, higher SDNN (fully-adjusted hazard ratio (HR), 95% confidence interval (CI) 1.24, 1.04–1.47, p = 0.0213), and higher RMSSD (fully-adjusted HR, 95% CI 1.33, 1.13–1.54, p = 0.0010) were significantly associated with new-onset AF. Sex-stratified analyses showed that the associations were mostly prominent among women. In MR analyses, a genetically determined increase in SDNN (odds ratio (OR), 95% CI 1.60, 1.27–2.02, p = 8.36 × 10 –05), and RMSSD (OR, 95% CI 1.56, 1.31–1.86, p = 6.32 × 10 –07) were significantly associated with an increased odds of AF. Conclusion: Longitudinal measures of uncorrected HRV were significantly associated with new-onset AF, especially among women. MR analyses supported the causal relationship between uncorrected measures of HRV with AF. Our findings indicate that measures to modulate HRV might prevent AF in the general population, in particular in women. Graphical abstract: [Figure not available: see fulltext.] AF; atrial fibrill

Aims We aimed to assess the (shape of the) association and sex differences in the link between electrocardiographic parameters and new-onset atrial fibrillation (AF). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Methods A total of 12 212 participants free of AF at baseline from the population-based Rotterdam Study were included. Up to five and results repeated measurements of electrocardiographic parameters including PR, QRS, QT, QT corrected for heart rate (QTc), JT, RR interval, and heart rate were assessed at baseline and follow-up examinations. Cox proportional hazards- and joint models, adjusted for cardiovascular risk factors, were used to determine the (shape of the) association between baseline and longitudinal electrocardiographic parameters with new-onset AF. Additionally, we evaluated potential sex differences. During a median follow-up of 9.3 years, 1282 incident AF cases occurred among 12 212 participants (mean age 64.9 years, 58.2% women). Penalized cubic splines revealed that associations between baseline electrocardiographic measures and risk of new-onset AF were generally U- and N-shaped. Sex differences in terms of the shape of the various associations were most apparent for baseline PR, QT, QTc, RR interval, and heart rate in relation to new-onset AF. Longitudinal measures of higher PR interval [fully adjusted hazard ratio (HR), 95% confidence interval (CI), 1.43, 1.02–2.04, P = 0.0393] and higher QTc interval (fully adjusted HR, 95% CI, 5.23, 2.18–12.45, P = 0.0002) were significantly associated with new-onset AF, in particular in men . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Background Thoracic aortic diameter may have a role as a biomarker for major adverse cardiovascular events. Purpose To evaluate the sex-specific association of the diameters of the ascending (AA) and descending (DA) thoracic aorta with risk of stroke, coronary heart disease, heart failure, cardiovascular mortality, and all-cause mortality. Materials and Methods Study participants from the population-based Rotterdam Study who underwent multidetector-row CT between 2003 and 2006 were evaluated. Cox proportional hazard models were conducted to evaluate the associations of AA and DA diameters indexed and not indexed for body mass index (BMI) with cardiovascular events and mortality for men and women. Hazard ratios (HRs) were calculated per 1-unit greater SD of aortic diameters. Results A total of 2178 participants (mean age, 69 years; 55% women) were included. Mean follow-up was 9 years. Each 0.23-mm/(kg/m2) larger BMI-indexed AA diameter was associated with a 33% higher cardiovascular mortality risk in women (HR, 1.33; 95% CI: 1.03, 1.73). Each 0.16-mm/(kg/m2) larger BMI-indexed DA diameter was associated with a 38% higher risk of stroke (HR, 1.38; 95% CI: 1.07, 1.78) and with a 46% greater risk of cardiovascular mortality (HR, 1.46; 95% CI: 1.10, 1.94) in women. Larger BMI-indexed AA and DA diameters were associated with greater risk of all-cause mortality in both sexes. Conclusion Larger ascending and descending thoracic aortic diameters indexed by body mass index were associated with greater risk of adverse cardiovascular outcomes and mortality in women and men. Clinical trial registration no. NTR6831

Background: The potential bidirectional causal association between kidney function and atrial fibrillation (AF) remains unclear. Methods: We conducted a bidirectional two-sample Mendelian randomization (MR) analysis. From multiple genome-wide association studies (GWAS), we retrieved genetic variants associated with kidney function (estimated glomerular filtration rate based on creatinine (eGFRcreat), blood urea nitrogen (BUN), chronic kidney disease (CKD stage ≥G3): n = 1,045,620, eGFR based on cystatin C: n = 24,063-32,861, urine albumin-tocreatinine ratio (UACR), and microalbuminuria: n = 564,257), and AF (n = 1,030,836). The inverse-variance weighted method was used as our main analysis. Results: MR analyses supported a causal effect of CKD (n = 9 SNPs, odds ratio (OR): 1.10, 95% confidence interval (CI): 1.04–1.17, p-value = 1.97 × 10− 03), and microalbuminuria (n = 5 SNPs, OR: 1.26, 95% CI: 1.10–1.46, pvalue = 1.38 × 10− 03) on AF risk. We also observed a causal effect of AF on eGFRcreat (n = 97 SNPs, OR: 1.00, 95% CI: 1.00–1.00, p-value = 6.78 × 10− 03), CKD (n = 107 SNPs, OR: 1.06, 95% CI: 1.03–1.09, p-value = 2.97 × 10− 04), microalbuminuria (n = 83 SNPs, OR: 1.07, 95% CI: 1.04–1.09, p-value = 2.49 × 10− 08), and a suggestive causal effect on eGFRcys (n = 103 SNPs, OR: 0.99, 95% CI: 0.99–1.00, p-value = 4.61 × 10− 02). Sensitivity analyses, including weighted median estimator, MR-Egger, the MR pleiotropy residual sum and outlier test, and excluding genetic variants associated with possible confounders and/or horizontal mediators (myocardial infarction/coronary artery disease, heart failure) indicated that these findings were robust. Conclusions: Our results supported a bidirectional causal association between kidney function and AF. The shared genetic architecture between kidney dysfunction and AF might represent potential important therapeutic targets to prevent both conditi