Malignant Left Ventricular Hypertrophy and Risk of Cognitive Impairment in SPRINT MIND Trial.

BACKGROUND: The association of malignant left ventricular hypertrophy (LVH), a specific subphenotype of LVH characterized by elevated levels of high-sensitivity cardiac troponin (hs-cTnT) or N-terminal pro-B-type natriuretic peptide (NT-proBNP), with cognitive decline remains understudied. METHODS: This post-hoc analysis included a total of 8,027 (67.9±9.3 years) SPRINT MIND trial participants who had with at least one follow-up cognitive assessment. Participants were classified into six groups on the basis of LVH status on electrocardiogram (ECG), and elevations in levels of hs-cTnT ≥14 ng/L or NT-proBNP ≥125 pg/mL at baseline visit. Multivariate Cox proportional hazard models were used to examine the association of LVH/biomarker groups with incident probable dementia, mild cognitive impairment (MCI) and a composite of MCI/probable dementia. RESULTS: Over a median follow-up period of 5 years, there were 306, 597 and 818 incidents of MCI, probable dementia and a composite of MCI/probable dementia, respectively. Compared with participants without LVH and normal biomarker levels, those with concomitant LVH and elevated levels of both biomarkers were associated with a higher risk of probable dementia (HR, 2.50; 95% CI (1.26 - 4.95), MCI (HR, 1.78; 95% CI (0.99 - 3.23) and the composite of MCI/ probable dementia (HR, 1.89; 95% CI, 1.16 - 3.10). CONCLUSIONS: Among SPRINT participants, malignant LVH is associated with incident probable dementia and mild cognitive impairment. These findings underscore the potential utility of measuring hs-cTnT and NT-proBNP levels when LVH is detected on ECG, aiding in the differentiation of individuals with a favorable risk for cognitive impairment from those with a higher risk.

Association of Brain Volumes and White Matter Injury With Race, Ethnicity, and Cardiovascular Risk Factors: The Multi-Ethnic Study of Atherosclerosis.

Background Cardiovascular risk factors are associated with cognitive decline and dementia. Magnetic resonance imaging provides sensitive measurement of brain morphology and vascular brain injury. However, associations of risk factors with brain magnetic resonance imaging findings have largely been studied in White participants. We investigated associations of race, ethnicity, and cardiovascular risk factors with brain morphology and white matter (WM) injury in a diverse population. Methods and Results In the Multi-Ethnic Study of Atherosclerosis, measures were made in 2018 to 2019 of total brain volume, gray matter and WM volume, and WM injury, including WM hyperintensity volume and WM fractional anisotropy. We assessed cross-sectional associations of race and ethnicity and of cardiovascular risk factors with magnetic resonance imaging measures. Magnetic resonance imaging data were complete in 1036 participants; 25% Black, 15% Chinese-American, 19% Hispanic, and 41% White. Mean (SD) age was 72 (8) years and 53% were women. Although WM injury was greater in Black than in White participants in a minimally adjusted model, additional adjustment for cardiovascular risk factors and socioeconomic status each attenuated this association, rendering it nonsignificant. Overall, greater average WM hyperintensity volume was associated with older age and current smoking (69% greater vs never smoking); lower fractional anisotropy was additionally associated with higher diastolic blood pressure, use of antihypertensive medication, and diabetes. Conclusions We found no statistically significant difference in measures of WM injury by race and ethnicity after adjustment for cardiovascular risk factors and socioeconomic status. In all racial and ethnic groups, older age, current smoking, hypertension, and diabetes were strongly associated with WM injury.

Association of Longitudinal Changes in Cardiac Biomarkers With Atrial and Ventricular Arrhythmias (from the Atherosclerosis Risk in Communities [ARIC] Study).

We evaluated the association of longitudinal changes in circulating levels of N-terminal pro B-type natriuretic peptide (NT-proBNP) and high sensitivity cardiac troponin T (hs-cTnT) with the burden of arrhythmias as captured by 2-week ambulatory ECG monitoring. This study included 1,930 Atherosclerosis Risk in Communities Study participants who wore a leadless, ambulatory ECG monitor (Zio XT Patch) at visit 6 (2016 to 2017) and had cardiac biomarkers measured at visit 6 and visit 4 (median of 19 years earlier). The mean age of participants at V6 was 79 ± 5 years, 41% were men, and 22% were black. Adjusting for demographics, body mass index, smoking, diabetes, hypertension, stroke, left ventricular mass, cardiac medications, patch wear time, visit 4 levels of NT-proBNP and hs-cTnT, and relative change in hs-cTnT, each log-transformed unit relative increase in NT-proBNP was associated with a higher likelihood of nonsustained ventricular tachycardia (odds ratio 1.29, 95% confidence interval [CI] 1.12 to 1.48), a higher number of daily atrial tachycardia episodes (geometric mean ratio [GMR] 1.16, 95% CI 1.10 to 1.21), and a higher daily ectopic burden (premature ventricular contractions -GMR 1.42, 95% CI 1.25 to 1.62; premature atrial contractions -GMR 1.40, 95% CI 1.25 to 1.57). In fully adjusted analyses, each log-transformed unit relative increase in hs-cTnT was only found to be weakly associated with a higher daily premature ventricular contraction burden (GMR 1.31, 95% CI 1.01 to 1.70). In conclusion, longitudinal change in NT-proBNP was associated with an increased atrial and ventricular arrhythmia burden.

Association of Differential Leukocyte Count With Incident Abdominal Aortic Aneurysm Over 22.5 Years: The ARIC Study.

OBJECTIVE: Leukocytes contribute to the development of abdominal aortic aneurysm (AAA). We evaluated whether associations of differential leukocyte counts with AAA persist after accounting for traditional risk factors of AAA. APPROACH AND RESULTS: Among 11 217 adults from the Atherosclerosis Risk in Communities Study, we evaluated associations of differential leukocyte counts at baseline (1987­1989) with incident AAAs over a median follow-up of 22.5 years, using Cox proportional hazards regression. Each differential leukocyte count was categorized into 5 groups­below normal, tertiles within the normal range, and above normal, with the first tertile serving as the referent. We identified 377 incident AAAs through 2011, using hospital discharge diagnoses, linked Medicare records, or death certificates. At baseline, higher neutrophil, monocyte, and eosinophil counts were associated with higher risk of AAA, independent of smoking, other differential leukocyte counts, and other traditional risk factors. The association with incident AAA was the strongest for above normal neutrophil count, with an adjusted hazard ratio (95% CI) of 2.17 (1.29­3.64). Below normal neutrophil, lymphocyte, eosinophil and basophil counts were associated with higher risk of AAA with adjusted hazard ratio (95% CI) between 1.86 (1.04­3.35) and 1.62 (1.10­2.39). CONCLUSIONS: Higher neutrophil, monocyte, and eosinophil counts in midlife are associated with higher risk of AAA, even after accounting for traditional risk factors such as smoking, obesity, and atherosclerosis. This suggests the need to identify nontraditional risk factors and treatment strategies to mitigate the residual risk of AAA conferred by midlife inflammation. Whether immunosuppression is associated with higher risk of AAA needs further investigation.

Left atrial structure and function of the amyloidogenic V122I transthyretin variant in elderly African Americans.

AIMS: African-American carriers of the transthyretin (TTR) valine-to-isoleucine substitution (V122I) are at increased risk of heart failure, yet many have relatively subtle abnormalities of left ventricular (LV) function. We sought to explore the influence of this mutation on left atrial (LA) structure and function in this population. METHODS AND RESULTS: We assessed 1225 genotyped African-Americans (age range, 67-89 years) participating in the Atherosclerosis Risk in Communities study who underwent echocardiography and were in sinus rhythm at study Visit 5 (2011 to 2013). Six LA parameters [LA maximum/minimum volume index, ejection fraction, and LA reservoir, conduit, and contractile longitudinal strains (LS)] were compared between V122I TTR variant carriers (n = 46) and non-carriers (n = 1179). LA minimum volume index was significantly greater and LA contractile LS was worse in carriers than non-carriers (19.5 ± 10.6 mL/m2 vs. 16.3 ± 8.4 mL/m2 ; 15.0 ± 5.8% vs. 16.8 ± 5.7%, respectively, both P < 0.05). Carriers had a significantly higher number of LA abnormalities than non-carriers (1.8 ± 2.2 vs. 1.1 ± 1.6, P = 0.009). The number of subjects with at least four LA abnormalities was significantly increased among carriers compared with non-carriers (27% vs. 12%; odds ratio 2.43; 95% confidence interval 1.06-5.58 after adjusting for age, sex, body mass index, and LV wall thickness and global LS). CONCLUSIONS: Left atrial enlargement and dysfunction were common in V122I TTR carriers with sinus rhythm than non-carriers, suggesting that abnormalities of LA function may represent early markers of subclinical disease in these individuals.

Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop.

Clinically recognized atrial fibrillation (AF) is associated with higher risk of complications, including ischemic stroke, cognitive decline, heart failure, myocardial infarction, and death. It is increasingly recognized that AF frequently is undetected until complications such as stroke or heart failure occur. Hence, the public and clinicians have an intense interest in detecting AF earlier. However, the most appropriate strategies to detect undiagnosed AF (sometimes referred to as subclinical AF) and the prognostic and therapeutic implications of AF detected by screening are uncertain. Our report summarizes the National Heart, Lung, and Blood Institute's virtual workshop focused on identifying key research priorities related to AF screening. Global experts reviewed major knowledge gaps and identified critical research priorities in the following areas: (1) role of opportunistic screening; (2) AF as a risk factor, risk marker, or both; (3) relationship between AF burden detected with long-term monitoring and outcomes/treatments; (4) designs of potential randomized trials of systematic AF screening with clinically relevant outcomes; and (5) role of AF screening after ischemic stroke. Our report aims to inform and catalyze AF screening research that will advance innovative, resource-efficient, and clinically relevant studies in diverse populations to improve the diagnosis, management, and prognosis of patients with undiagnosed AF.

ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure.

AIMS: Heart failure (HF) is a leading cause of death. Early intervention is the key to reduce HF-related morbidity and mortality. This study assesses the utility of electrocardiograms (ECGs) in HF risk prediction. METHODS AND RESULTS: Data from the baseline visits (1987-89) of the Atherosclerosis Risk in Communities (ARIC) study was used. Incident hospitalized HF events were ascertained by ICD codes. Participants with good quality baseline ECGs were included. Participants with prevalent HF were excluded. ECG-artificial intelligence (AI) model to predict HF was created as a deep residual convolutional neural network (CNN) utilizing standard 12-lead ECG. The area under the receiver operating characteristic curve (AUC) was used to evaluate prediction models including (CNN), light gradient boosting machines (LGBM), and Cox proportional hazards regression. A total of 14 613 (45% male, 73% of white, mean age ± standard deviation of 54 ± 5) participants were eligible. A total of 803 (5.5%) participants developed HF within 10 years from baseline. Convolutional neural network utilizing solely ECG achieved an AUC of 0.756 (0.717-0.795) on the hold-out test data. ARIC and Framingham Heart Study (FHS) HF risk calculators yielded AUC of 0.802 (0.750-0.850) and 0.780 (0.740-0.830). The highest AUC of 0.818 (0.778-0.859) was obtained when ECG-AI model output, age, gender, race, body mass index, smoking status, prevalent coronary heart disease, diabetes mellitus, systolic blood pressure, and heart rate were used as predictors of HF within LGBM. The ECG-AI model output was the most important predictor of HF. CONCLUSIONS: ECG-AI model based solely on information extracted from ECG independently predicts HF with accuracy comparable to existing FHS and ARIC risk calculators.

Effect of Magnesium Supplementation on Circulating Biomarkers of Cardiovascular Disease.

(1) Background: Magnesium supplementation may be effective for the prevention of cardiometabolic diseases, but the mechanisms are unclear. Proteomic approaches can assist in identifying the underlying mechanisms. (2) Methods: We collected repeated blood samples from 52 individuals enrolled in a double-blind trial which randomized participants 1:1 to oral magnesium supplementation (400 mg magnesium/day in the form of magnesium oxide) or a matching placebo for 10 weeks. Plasma levels of 91 proteins were measured at baseline with follow-up samples using the Olink Cardiovascular Disease III proximity extension assay panel and were modeled as arbitrary units in a log2 scale. We evaluated the effect of oral magnesium supplementation for changes in protein levels and the baseline association between serum magnesium and protein levels. The Holm procedure was used to adjust for multiple comparisons. (3) Results: Participants were 73% women, 94% white, and had a mean age of 62. Changes in proteins did not significantly differ between the two intervention groups after correction for multiple comparisons. The most statistically significant effects were on myoglobin [difference -0.319 log2 units, 95% confidence interval (CI) (-0.550, -0.088), p = 0.008], tartrate-resistant acid phosphatase type 5 (-0.187, (-0.328, -0.045), p = 0.011), tumor necrosis factor ligand superfamily member 13B (-0.181, (-0.332, -0.031), p = 0.019), ST2 protein (-0.198, (-0.363, -0.032), p = 0.020), and interleukin-1 receptor type 1 (-0.144, (-0.273, -0.015), p = 0.029). Similarly, none of the associations of baseline serum magnesium with protein levels were significant after correction for multiple comparisons. (4) Conclusions: Although we did not identify statistically significant effects of oral magnesium supplementation in this relatively small study, this study demonstrates the value of proteomic approaches for the investigation of mechanisms underlying the beneficial effects of magnesium supplementation. Clinical Trials Registration: ClinicalTrials.gov NCT02837328.

Polypharmacy, Adverse Outcomes, and Treatment Effectiveness in Patients ≥75 With Atrial Fibrillation.

Background Polypharmacy is highly prevalent in elderly people with chronic conditions, including atrial fibrillation (AF). The impact of polypharmacy on adverse outcomes and on treatment effectiveness in elderly patients with AF remains unaddressed. Methods and Results We studied 338 810 AF patients ≥75 years of age enrolled in the MarketScan Medicare Supplemental database in 2007-2015. Polypharmacy was defined as ≥5 active prescriptions at AF diagnosis (defined by the presence of International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] codes) based on outpatient pharmacy claims. AF treatments (oral anticoagulation, rhythm and rate control) and cardiovascular end points (ischemic stroke, bleeding, heart failure) were defined based on inpatient, outpatient, and pharmacy claims. Multivariable Cox models were used to estimate associations of polypharmacy with cardiovascular end points and the interaction between polypharmacy and AF treatments in relation to cardiovascular end points. Prevalence of polypharmacy was 52%. Patients with polypharmacy had increased risk of major bleeding (hazard ratio [HR], 1.16; 95% CI, 1.12-1.20) and heart failure (HR, 1.33; 95% CI, 1.29-1.36) but not ischemic stroke (HR, 0.96; 95% CI, 0.92-1.00), compared with those not receiving polypharmacy. Polypharmacy status did not consistently modify the effectiveness of oral anticoagulants. Rhythm control (versus rate control) was more effective in preventing heart failure hospitalization in patients not receiving polypharmacy (HR, 0.87; 95% CI, 0.76-0.99) than among those with polypharmacy (HR, 0.98; 95% CI, 0.91-1.07; P=0.02 for interaction). Conclusion Polypharmacy is common among patients ≥75 with AF, is associated with adverse outcomes, and may modify the effectiveness of AF treatments. Optimizing management of polypharmacy in AF patients ≥75 may lead to improved outcomes.

Association of Multimorbidity with Cardiovascular Endpoints and Treatment Effectiveness in Patients 75 Years and Older with Atrial Fibrillation.

BACKGROUND: The burden imposed by multimorbidity on outcomes and on the effectiveness of atrial fibrillation therapies in elderly adults with atrial fibrillation is unknown. METHODS: Patients with nonvalvular atrial fibrillation ages ≥75 years in the MarketScan Medicare Supplemental database from 2007-2015. Prevalence of 14 chronic conditions at the time of atrial fibrillation diagnosis were obtained and classified as cardiometabolic or noncardiometabolic. Cox regression estimated the associations of the number and type of conditions with stroke, severe bleeding, and heart failure hospitalizations. Tests for interaction were assessed between atrial fibrillation treatments and multimorbidity. RESULTS: Among 275,617 patients with atrial fibrillation (mean age 83 years, 51% women), the mean (SD) number of conditions per participant was 3.0 (2.1). Over a mean follow-up of 23 months, 7814 strokes, 13,622 severe bleeds, and 19,252 heart failure events occurred. After adjustment, an increase in the number of cardiometabolic conditions was associated with greater risk of stroke (hazard ratio [HR] 1.07; 95% confidence interval [CI], 1.05-1.10), severe bleeding (HR 1.09; 95% CI, 1.07-1.11), and heart failure (HR 1.19, 95% CI, 1.18-1.20). In contrast, number of noncardiometabolic conditions had weak or null associations with risk of cardiovascular endpoints. Overall, the effectiveness of atrial fibrillation treatment on stroke and heart failure were similar across multimorbidity status, but bleeding risk associated with atrial fibrillation treatments was higher in patients with overall and subgroup multimorbidity. CONCLUSION: Cardiometabolic multimorbidity was associated with worse outcomes and modified bleeding risk in atrial fibrillation patients. These findings underscore the impact of cardiometabolic conditions on atrial fibrillation outcomes and highlights the need to incorporate multimorbidity management in atrial fibrillation treatment guidelines.

Evaluation of Risk Prediction Models of Atrial Fibrillation (from the Multi-Ethnic Study of Atherosclerosis [MESA]).

Atrial fibrillation (AF) is prevalent and strongly associated with higher cardiovascular disease (CVD) risk. Machine learning is increasingly used to identify novel predictors of CVD risk, but prediction improvements beyond established risk scores are uncertain. We evaluated improvements in predicting 5-year AF risk when adding novel candidate variables identified by machine learning to the CHARGE-AF Enriched score, which includes age, race/ethnicity, height, weight, systolic and diastolic blood pressure, current smoking, use of antihypertensive medication, diabetes, and NT-proBNP. We included 3,534 participants (mean age, 61.3 years; 52.0% female) with complete data from the prospective Multi-Ethnic Study of Atherosclerosis. Incident AF was defined based on study electrocardiograms and hospital discharge diagnosis ICD-9 codes, supplemented by Medicare claims. Prediction performance was evaluated using Cox regression and a parsimonious model was selected using LASSO. Within 5 years of baseline, 124 participants had incident AF. Compared with the CHARGE-AF Enriched model (c-statistic, 0.804), variables identified by machine learning, including biomarkers, cardiac magnetic resonance imaging variables, electrocardiogram variables, and subclinical CVD variables, did not significantly improve prediction. A 23-item score derived by machine learning achieved a c-statistic of 0.806, whereas a parsimonious model including the clinical risk factors age, weight, current smoking, NT-proBNP, coronary artery calcium score, and cardiac troponin-T achieved a c-statistic of 0.802. This analysis confirms that the CHARGE-AF Enriched model and a parsimonious 6-item model performed similarly to a more extensive model derived by machine learning. In conclusion, these simple models remain the gold standard for risk prediction of AF, although addition of the coronary artery calcium score should be considered.

Association of Left Atrial Enlargement and Atrial Fibrillation With Cognitive Function and Decline: The ARIC-NCS.

Background Atrial fibrillation (AF) is associated with cognitive decline. Whether left atrial enlargement (LAE), a critical substrate for AF, is also associated is less well established. Therefore, we assessed the association of LAE and AF with cognitive decline in the ARIC-NCS (Atherosclerosis Risk in Communities Neurocognitive Study). Methods and Results Participants (n=3391; mean age, 75±5 years; 59% women) underwent cognitive tests and 2-dimensional echocardiograms at visit 5 (2011-2013) and follow-up cognitive tests at visit 6 (2016-2017). LAE was defined as left atrium volume index ≥34 mL/m2. AF was ascertained using study ECGs and hospitalization discharge codes. We assessed the association of AF and LAE with (a) cognitive domain scores at visit 5 and (b) cognitive domain score changes between visit 5 and visit 6. At visit 5, compared with the reference group (without AF, normal left atrium), participants with LAE and AF had significantly lower global cognition (Z score, -0.24; 95% CI, -0.38 to -0.10), whereas participants with AF and without LAE and participants with LAE and without AF did not have lower global cognition. In longitudinal analysis, compared with the reference group, participants with AF but without LAE had significantly greater decline in global cognition (Z score, -0.13; 95% CI, -0.21 to -0.06). However, LAE, with or without AF, was not associated with greater cognitive decline. Conclusion Although LAE with AF was significantly associated with lower cognitive function in cross-sectional analysis, LAE, with or without AF, was not associated with greater cognitive decline over 5 years, highlighting the importance of evaluating longitudinal cognitive function. Future studies should have longer follow-up and evaluate left atrium function.

Provider Specialty, Anticoagulation, and Stroke Risk in Patients With Atrial Fibrillation and Cancer.

BACKGROUND: It is unknown whether early cardiology involvement shortly after atrial fibrillation (AF) diagnosis is associated with favorable outcomes in AF patients who have cancer. OBJECTIVES: The purpose of this study was to examine the relationship between early cardiology involvement after AF diagnosis in patients with history of cancer. METHODS: This study examined associations of early cardiology involvement with oral anticoagulation use, stroke, and bleeding among nonvalvular AF patients (n = 388,045; mean age 68 ± 15 years; 59% male) with a history of cancer (past or active) from the MarketScan database (2009 to 2014). International Classification of Disease-9th Revision-Clinical Modification codes in any position were used to identify cancer diagnosis prior to AF diagnosis. Provider specialty and filled anticoagulant prescriptions 3 months prior to and 6 months after AF diagnosis were obtained. Poisson regression models were used to compute the probability of an oral anticoagulant prescription fill, and Cox regression was used to estimate the risks of stroke and major bleeding. RESULTS: A total of 64,016 (17%) AF patients had a history of cancer. Cardiology involvement was less likely to occur among patients with a history of cancer than those without (relative risk [RR]: 0.92 [95% confidence interval (CI): 0.91 to 0.93]). Patients with history of cancer were less likely to fill prescriptions for anticoagulants (RR: 0.89 [95% CI: 0.88 to 0.90]) than those without cancer, and similar results were observed across cancer types. Patients with cancer were more likely to fill prescriptions for anticoagulants (RR: 1.48 [95% CI: 1.45 to 1.52]) if seen by a cardiologist. A reduced risk of stroke (hazard ratio: 0.89 [95% CI: 0.81 to 0.99]) was observed among all cancer patients who were seen by a cardiology provider, without an increased risk of bleeding (hazard ratio: 1.04 [95% CI: 0.95 to 1.13]). Similar results were observed when the analysis was stratified by active versus remote history of cancer. CONCLUSIONS: Although AF patients with cancer were less likely to see a cardiologist, or fill anticoagulant prescriptions, cardiology involvement was associated with increased anticoagulant prescription fills and favorable AF-related outcomes in AF patients with cancer.

Comparative effectiveness of direct oral anticoagulants and warfarin in patients with cancer and atrial fibrillation.

Randomized clinical trials comparing direct oral anticoagulants (DOACs) to warfarin in cancer patients have not been performed. We evaluated the effectiveness and associated risk of DOACs vs warfarin, as well as comparisons of DOACs, in a large population of cancer patients with nonvalvular atrial fibrillation (AF). Using the MarketScan databases, we identified 16 096 AF patients (mean age, 74 years) initiating oral anticoagulant and being actively treated for cancer between 2010 and 2014. Anticoagulant users were matched by age, sex, enrollment date, and drug initiation date. Study end points were identified with diagnostic codes and included ischemic stroke, severe bleeding, other bleeding, and venous thromboembolism (VTE). Cox regression was used to estimate associations of anticoagulants with study end points. Compared with warfarin, rates of bleeding (hazard ratio [95% confidence interval]) were similar in rivaroxaban (1.09 [0.79, 1.39]) and dabigatran (0.96 [0.72, 1.27]) users, whereas apixaban users experienced lower rates (0.37 [0.17, 0.79]). Rates of ischemic stroke did not differ among anticoagulant users. Compared with warfarin, rate of VTE (hazard ratio [95% confidence interval]) was lower among rivaroxaban (0.51 [0.41, 0.63]), dabigatran (0.28 [0.21, 0.38]), and apixaban (0.14 [0.07, 0.32]) users. In head-to-head comparisons among DOACs, dabigatran users had lower rates of VTE than rivaroxaban users; apixaban users had lower rates of VTE and severe bleeding than rivaroxaban users. In this population of patients with AF and cancer, DOAC users experienced lower or similar rates of bleeding and stroke compared with warfarin users, and a lower rate of incident VTE.

Pacing as a Treatment for Reflex-Mediated (Vasovagal, Situational, or Carotid Sinus Hypersensitivity) Syncope: A Systematic Review for the 2017 ACC/AHA/HRS Guideline for the Evaluation and Management of Patients With Syncope: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society.

OBJECTIVES: To determine, using systematic review of the biomedical literature, whether pacing reduces risk of recurrent syncope and relevant clinical outcomes among adult patients with reflex-mediated syncope. METHODS: MEDLINE (through PubMed), EMBASE, and the Cochrane Central Register of Controlled Trials (through October 7, 2015) were searched for randomized trials and observational studies examining pacing and syncope, and the bibliographies of known systematic reviews were also examined. Studies were rejected for poor-quality study methods and for the lack of the population, intervention, comparator, or outcome(s) of interest. RESULTS: Of 3188 citations reviewed, 10 studies met the inclusion criteria for systematic review, including a total of 676 patients. These included 9 randomized trials and 1 observational study. Of the 10 studies, 4 addressed patients with carotid sinus hypersensitivity, and the remaining 6 addressed vasovagal syncope. Among the 6 open-label (unblinded) studies, we found that pacing was associated with a 70% reduction in recurrent syncope (relative risk [RR]: 0.30; 95% confidence interval [CI]: 0.15-0.60). When the 2 analyzable studies with double-blinded methodology were considered separately, there was no clear benefit (RR: 0.73; 95% CI: 0.25-2.1), but confidence intervals were wide. The strongest evidence was from the randomized, double-blinded ISSUE-3 (Third International Study on Syncope of Uncertain Etiology) trial, which demonstrated a benefit of pacing among patients with recurrent syncope and asystole documented by implantable loop recorder. CONCLUSIONS: There are limited data with substantive evidence of outcome ascertainment bias, and only 2 studies with a double-blinded study design have been conducted. The evidence does not support the use of pacing for reflex-mediated syncope beyond patients with recurrent vasovagal syncope and asystole documented by implantable loop recorder.

Prospective study of oral anticoagulants and risk of liver injury in patients with atrial fibrillation.

OBJECTIVE: To assess the risk of liver injury hospitalisation in patients with atrial fibrillation (AF) after initiation of direct oral anticoagulants (DOACs) or warfarin and to determine predictors of liver injury hospitalisation in this population. METHODS: We studied 113 717 patients (mean age 70, 39% women) with AF included in the MarketScan Commercial and Medicare Supplemental databases with a first prescription for oral anticoagulation after 4 November 2011, followed through 31 December 2014. Of these, 56 879 initiated warfarin, 17 286 initiated dabigatran, 30 347 initiated rivaroxaban and 9205 initiated apixaban. Liver injury hospitalisation and comorbidities were identified from healthcare claims. RESULTS: During a median follow-up of 12 months, 960 hospitalisations with liver injury were identified. Rates of liver injury hospitalisation (per 1000 person-years) by oral anticoagulant were 9.0 (warfarin), 4.0 (dabigatran), 6.6 (rivaroxaban) and 5.6 (apixaban). After multivariable adjustment, liver injury hospitalisation rates were lower in initiators of DOACs compared with warfarin: HR (95% CI) of 0.57 (0.46 to 0.71), 0.88 (0.75 to 1.03) and 0.70 (0.50 to 0.97) for initiators of dabigatran, rivaroxaban, and apixaban, respectively (vs. warfarin). Compared with dabigatran initiators, rivaroxaban initiators had a 56% increased risk of liver injury hospitalisation (HR 1.56, 95% CI 1.22 to 1.99). In addition to type of anticoagulant, prior liver, gallbladder and kidney disease, cancer, anaemia, heart failure and alcoholism significantly predicted liver injury hospitalisation. A predictive model including these variables had adequate discriminative ability (C-statistic 0.67, 95% CI 0.64 to 0.70). CONCLUSIONS: Among patients with non-valvular AF, DOACs were associated with lower risk of liver injury hospitalisation compared with warfarin, with dabigatran showing the lowest risk.

Development and Validation of a Sudden Cardiac Death Prediction Model for the General Population.

BACKGROUND: Most sudden cardiac death (SCD) events occur in the general population among persons who do not have any prior history of clinical heart disease. We sought to develop a predictive model of SCD among US adults. METHODS: We evaluated a series of demographic, clinical, laboratory, electrocardiographic, and echocardiographic measures in participants in the ARIC study (Atherosclerosis Risk in Communities) (n=13 677) and the CHS (Cardiovascular Health Study) (n=4207) who were free of baseline cardiovascular disease. Our initial objective was to derive a SCD prediction model using the ARIC cohort and validate it in CHS. Independent risk factors for SCD were first identified in the ARIC cohort to derive a 10-year risk model of SCD. We compared the prediction of SCD with non-SCD and all-cause mortality in both the derivation and validation cohorts. Furthermore, we evaluated whether the SCD prediction equation was better at predicting SCD than the 2013 American College of Cardiology/American Heart Association Cardiovascular Disease Pooled Cohort risk equation. RESULTS: There were a total of 345 adjudicated SCD events in our analyses, and the 12 independent risk factors in the ARIC study included age, male sex, black race, current smoking, systolic blood pressure, use of antihypertensive medication, diabetes mellitus, serum potassium, serum albumin, high-density lipoprotein, estimated glomerular filtration rate, and QTc interval. During a 10-year follow-up period, a model combining these risk factors showed good to excellent discrimination for SCD risk (c-statistic 0.820 in ARIC and 0.745 in CHS). The SCD prediction model was slightly better in predicting SCD than the 2013 American College of Cardiology/American Heart Association Pooled Cohort risk equations (c-statistic 0.808 in ARIC and 0.743 in CHS). Only the SCD prediction model, however, demonstrated similar and accurate prediction for SCD using both the original, uncalibrated score and the recalibrated equation. Finally, in the echocardiographic subcohort, a left ventricular ejection fraction <50% was present in only 1.1% of participants and did not enhance SCD prediction. CONCLUSIONS: Our study is the first to derive and validate a generalizable risk score that provides well-calibrated, absolute risk estimates across different risk strata in an adult population of white and black participants without a clinical diagnosis of cardiovascular disease.

Advanced interatrial block and ischemic stroke: The Atherosclerosis Risk in Communities Study.

OBJECTIVE: Given that recent reports have suggested left atrial disease to be an independent risk factor for ischemic stroke, we sought to examine if advanced interatrial block (aIAB) is an independent stroke risk factor. METHODS: We examined the association between aIAB and incident ischemic stroke in 14,716 participants (mean age 54 ± 5.8 years; 55% female; 26% black) from the Atherosclerosis Risk in Communities Study (ARIC). Cases of aIAB were identified from digital ECGs recorded during the baseline ARIC visit (1987-1989) and the first 3 follow-up study visits (1990-1992, 1993-1995, and 1996-1998). Adjudicated ischemic stroke events were ascertained through December 31, 2010. RESULTS: There were 266 (1.8%) participants who had evidence of aIAB. Over a median follow-up of 22 years, 916 (6.2%) ischemic stroke events were detected. The incidence rate (per 1,000 person-years) of ischemic stroke among those with aIAB (incidence rate 8.05, 95% confidence interval [CI] 5.7, 11.4) was more than twice the rate in those without aIAB (incidence rate 3.14, 95% CI 2.94, 3.35). In a multivariable Cox regression analysis adjusted for stroke risk factors and potential confounders, aIAB was associated with an increased risk of ischemic stroke (hazard ratio 1.63, 95% CI 1.13, 2.34). The results were consistent across subgroups of participants stratified by age, sex, and race. CONCLUSIONS: In the ARIC, aIAB was associated with incident ischemic stroke, which strengthens the hypothesis that left atrial disease should be considered an independent stroke risk factor.

Carotid Intima-Media Thickness and Arterial Stiffness and the Risk of Atrial Fibrillation: The Atherosclerosis Risk in Communities (ARIC) Study, Multi-Ethnic Study of Atherosclerosis (MESA), and the Rotterdam Study.

BACKGROUND: We evaluated the association of carotid intima-media thickness (cIMT), carotid plaque, carotid distensibility coefficient (DC), and aortic pulse wave velocity (PWV) with incident atrial fibrillation (AF) and their role in improving AF risk prediction beyond the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE)-AF risk score. METHODS AND RESULTS: We analyzed data from 3 population-based cohort studies: Atherosclerosis Risk in Communities (ARIC) Study (n=13 907); Multi-Ethnic Study of Atherosclerosis (MESA; n=6640), and the Rotterdam Study (RS; n=5220). We evaluated the association of arterial indices with incident AF and computed the C-statistic, category-based net reclassification improvement (NRI), and relative integrated discrimination improvement (IDI) of incorporating arterial indices into the CHARGE-AF risk score (age, race, height weight, systolic and diastolic blood pressure, antihypertensive medication use, smoking, diabetes, previous myocardial infarction, and previous heart failure). Higher cIMT (meta-analyzed hazard ratio [95% CI] per 1-SD increment, 1.12 [1.08-1.16]) and presence of carotid plaque (1.30 [1.19-1.42]) were associated with higher AF incidence after adjustment for CHARGE-AF risk-score variables. Lower DC and higher PWV were associated with higher AF incidence only after adjustment for the CHARGE-AF risk-score variables excepting height, weight, and systolic and diastolic blood pressure. Addition of cIMT or carotid plaque marginally improved CHARGE-AF score prediction as assessed by the relative IDI (estimates, 0.025-0.051), but not when assessed with the C-statistic and NRI. CONCLUSIONS: Higher cIMT, presence of carotid plaque, and greater arterial stiffness are associated with higher AF incidence, indicating that atherosclerosis and arterial stiffness play a role in AF etiopathogenesis. However, arterial indices only modestly improve AF risk prediction.