scholarly journals Real-Life Incident Atrial Fibrillation in Outpatients with Coronary Artery Disease

2020 ◽  
Vol 9 (8) ◽  
pp. 2367 ◽  
Author(s):  
Sandro Ninni ◽  
Gilles Lemesle ◽  
Thibaud Meurice ◽  
Olivier Tricot ◽  
Nicolas Lamblin ◽  
...  

Background: The risk, correlates, and consequences of incident atrial fibrillation (AF) in patients with chronic coronary artery disease (CAD) are largely unknown. Methods and results: We analyzed incident AF during a 3-year follow-up in 5031 CAD outpatients included in the prospective multicenter CARDIONOR registry and with no history of AF at baseline. Incident AF occurred in 266 patients (3-year cumulative incidence: 4.7% (95% confidence interval (CI): 4.1 to 5.3)). Incident AF was diagnosed during cardiology outpatient visits in 177 (66.5%) patients, 87 of whom were asymptomatic. Of note, 46 (17.3%) patients were diagnosed at time of hospitalization for heart failure, and a few patients (n = 5) at the time of ischemic stroke. Five variables were independently associated with incident AF: older age (p < 0.0001), heart failure (p = 0.003), lower left ventricle ejection fraction (p = 0.008), history of hypertension (p = 0.010), and diabetes mellitus (p = 0.033). Anticoagulant therapy was used in 245 (92%) patients and was associated with an antiplatelet drug in half (n = 122). Incident AF was a powerful predictor of all-cause (adjusted hazard ratio: 2.04; 95% CI: 1.47 to 2.83; p < 0.0001) and cardiovascular mortality (adjusted hazard ratio: 2.88; 95% CI: 1.88 to 4.43; p < 0.0001). Conclusions: In CAD outpatients, real-life incident AF occurs at a stable rate of 1.6% annually and is frequently diagnosed in asymptomatic patients during cardiology outpatient visits. Anticoagulation is used in most cases, often combined with antiplatelet therapy. Incident AF is associated with increased mortality.

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 4-5
Author(s):  
Moataz Ellithi ◽  
Fouad Khalil ◽  
Smitha N Gowda ◽  
Waqas Ullah ◽  
Radowan Elnair ◽  
...  

Introduction: Thrombotic thrombocytopenic purpura (TTP) is a life-threatening clinical syndrome characterized by microangiopathy and a variable degree of end-organ ischemic damage. Cardiac involvement has been recognized as a major cause of mortality in these patients (Patschan et al, Nephrol Dial Transplant, 2006; Benhamou et al, J Thromb. Haemost, 2015). In this study, we aim to investigate clinical predictors and outcomes of acute coronary syndrome in the setting of TTP admissions. Methods: The National Inpatient Sample (NIS) was queried for all hospitalizations with a primary diagnosis of thrombotic microangiopathy (ICD- 9-CM code 4466 and ICD-10-CM code M3.11) from 2002 to 2017. Using ICD-9-CM procedure codes (9972), (9971), and (9979), as well as ICD-10-CM procedure codes (6A551Z3) and (6A550Z3) we identified patients who received plasma exchange (PLEX) during the same admission. Due to the wide spectrum of thrombotic microangiopathy diseases, we decided to include only those who received PLEX to get a more specific subpopulation who were presumed to have TTP. We stratified patients based on whether or not they had acute coronary syndrome (ACS) during the admission, defined as presence of any ICD code for either ST-segment elevation myocardial infarction (STEMI), Non-STEMI, or unstable angina. Baseline characteristics and inpatient outcomes were compared between groups. Statistical analysis was performed using SPSS v26 (IBM Corp, Armonk, NY, USA). The odds ratio (OR) and 95% confidence interval (CI) were calculated using the Cochran-Mantel-Haenszel test. A multivariate regression model was deployed to assess predictors of inpatient mortality. Complex weights were used throughout all calculations, enabling appropriate national projections. Results: A total of 15,640 patients with the diagnosis of thrombotic microangiopathy were identified during the studied period. Of those, 6,214 patients had received PLEX treatment during their admission (39.7%). The annual admission rate for TTP was ranging between 5-7/100,000 admissions. Patients had a mean age of 47.8 years; 67% were females, and 46.5% were Caucasian. Stratifying by geographic region, 24% were from the Northeast, 21% from the Midwest, 42% from the South, and 13% from the West. The most common primary payer was private insurance (42.7%). Overall inpatient mortality was 9.1%. The most common complications reported included acute kidney injury (42.5%), followed by acute respiratory failure (14.9%), incident dialysis (14.3%), acute encephalopathy (7.7%), acute heart failure (7.3%), acute cerebrovascular accident (7.2%), and acute coronary syndrome (6.3%). ACS was documented in 6.7% of patients. Compared with patients without ACS, those with ACS were relatively older and had a relatively higher prevalence of coronary artery disease, dyslipidemia, diabetes mellitus, essential hypertension, chronic kidney disease, and heart failure. Patients with ACS had a 3-fold higher in-hospital mortality and a longer mean hospital stay (19 days vs. 15 days, P&lt;0.001). Using stepwise logistic regression, we identified age (aOR 1.03; 95% CI, 1.02 - 1.03; P &lt;0.001), history of heart failure (aOR 2.02; 95% CI, 1.53-2.67; P &lt;0.001), and history of coronary artery disease (aOR 2.69; 95% CI, 2.03 - 3.57; P &lt;0.001) as independent predictors of ACS among patients hospitalized with TTP. On another regression analysis, certain complications were more prevalent in the ACS group including acute cerebrovascular accidents, acute heart failure, acute kidney injury, cardiogenic shock, and respiratory failure. Conclusion: Despite wider utilization of therapeutic plasmapheresis and improved supportive treatments for patients with TTP, associated morbidity and mortality remain significant. We demonstrate from this large retrospective cohort that ACS is an independent predictor of higher morbidity and mortality in TTP patients. We identified older age, history of heart failure, and history of coronary artery disease as independent predictors of ACS among patients admitted with TTP. Further studies are warranted to develop risk stratification models for patients with TTP. Figure Disclosures Anwer: Incyte, Seattle Genetics, Acetylon Pharmaceuticals, AbbVie Pharma, Astellas Pharma, Celegene, Millennium Pharmaceuticals.: Honoraria, Research Funding, Speakers Bureau.


2019 ◽  
Vol 20 (11) ◽  
pp. 2824 ◽  
Author(s):  
Masako Baba ◽  
Kentaro Yoshida ◽  
Masaki Ieda

Natriuretic peptides (NPs) have become important diagnostic and prognostic biomarkers in cardiovascular diseases, particularly in heart failure (HF). Diagnosis and management of coronary artery disease and atrial fibrillation (AF) can also be guided by NP levels. When interpreting NP levels, however, the caveat is that age, sex, body mass index, renal dysfunction, and race affect the clearance of NPs, resulting in different cut-off values in clinical practice. In AF, NP levels have been associated with incident AF in the general population, recurrences after catheter ablation, prediction of clinical prognosis, and the risk of stroke. In this article, we first review and summarize the current evidence and the roles of B-type NP and atrial NP in HF and coronary artery disease and then focus on the increasing utility of NPs in the diagnosis and management of and the research into AF.


Circulation ◽  
2021 ◽  
Author(s):  
Tiffany M. Powell-Wiley ◽  
Paul Poirier ◽  
Lora E. Burke ◽  
Jean-Pierre Després ◽  
Penny Gordon-Larsen ◽  
...  

The global obesity epidemic is well established, with increases in obesity prevalence for most countries since the 1980s. Obesity contributes directly to incident cardiovascular risk factors, including dyslipidemia, type 2 diabetes, hypertension, and sleep disorders. Obesity also leads to the development of cardiovascular disease and cardiovascular disease mortality independently of other cardiovascular risk factors. More recent data highlight abdominal obesity, as determined by waist circumference, as a cardiovascular disease risk marker that is independent of body mass index. There have also been significant advances in imaging modalities for characterizing body composition, including visceral adiposity. Studies that quantify fat depots, including ectopic fat, support excess visceral adiposity as an independent indicator of poor cardiovascular outcomes. Lifestyle modification and subsequent weight loss improve both metabolic syndrome and associated systemic inflammation and endothelial dysfunction. However, clinical trials of medical weight loss have not demonstrated a reduction in coronary artery disease rates. In contrast, prospective studies comparing patients undergoing bariatric surgery with nonsurgical patients with obesity have shown reduced coronary artery disease risk with surgery. In this statement, we summarize the impact of obesity on the diagnosis, clinical management, and outcomes of atherosclerotic cardiovascular disease, heart failure, and arrhythmias, especially sudden cardiac death and atrial fibrillation. In particular, we examine the influence of obesity on noninvasive and invasive diagnostic procedures for coronary artery disease. Moreover, we review the impact of obesity on cardiac function and outcomes related to heart failure with reduced and preserved ejection fraction. Finally, we describe the effects of lifestyle and surgical weight loss interventions on outcomes related to coronary artery disease, heart failure, and atrial fibrillation.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
Y Hamatani ◽  
M Iguchi ◽  
K Minami ◽  
K Ishigami ◽  
S Ikeda ◽  
...  

Abstract Background Atrial fibrillation (AF) increases the risk of hospitalization for heart failure (HF), as well as that of thromboembolism. The strategy for prediction of thromboembolism has been well-established; however, little focus has been placed on the risk stratification for and prevention of HF hospitalization in AF patients. Purpose The aim of this study is to investigate the predictors and risk model of HF hospitalization in non-valvular AF patients without pre-existing HF. Methods The Fushimi AF Registry is a community-based prospective survey of AF patients in Fushimi-ku, Kyoto, Japan. The inclusion criterion of the registry is the documentation of AF at 12-lead electrocardiogram or Holter monitoring at any time, and there are no exclusion criteria. We started to enroll patients from March 2011, and follow-up data were available for 4,472 patients by the end of October 2020. From the registry, we excluded patients without a pre-existing HF (defined as having one of the following; prior hospitalization for HF, New York Heart Association class ≥2, or left ventricular ejection fraction [LVEF] &lt;40%), and those with valvular AF (mitral stenosis or prosthetic heart valve). Among 3,188 non-valvular AF patients without pre-existing HF, we explored the risk factors for the HF hospitalization during follow-up period. The risk model for predicting HF hospitalization was determined by the cumulative numbers of risk factors which were significant on multivariate analysis. Results The mean age was 72.4±10.8 years, 1197 were female and 1787 were paroxysmal AF. The mean CHADS2 and CHA2DS2-VASc scores were 1.7±1.2 and 2.9±1.6, respectively. During the median follow-up period of 5.1 years, HF hospitalization occurred in 285 (8.9%), corresponding to an annual incidence of 1.8 events per 100 person-years. In multivariable Cox regression analysis, advanced age (≥75 years), valvular heart disease, coronary artery disease, reduced LVEF (&lt;60%), chronic obstructive pulmonary disease (COPD) and anemia were independently associated with the higher incidence of HF hospitalization (all P&lt;0.001) (Picture 1). A risk model based on these 6 variables could stratify the incidence of HF hospitalization during follow-up period (log-rank; P&lt;0.001) (Picture 2). Patients with ≥3 risk factors had an 11-fold higher incidence of HF hospitalization compared with those not having any of these risk factors (hazard ratio: 11.3, 95% confidence interval: 7.0–18.4; P&lt;0.001). Conclusions Advanced age, coronary artery disease, valvular heart disease, reduced LVEF, COPD and anemia were independently associated with the risk of HF hospitalization in AF patients without pre-existing HF. There was good prediction for endpoint of HF hospitalization using these 6 variables, providing the opportunities for the implementation of strategies to reduce the incidence of HF among AF patients. FUNDunding Acknowledgement Type of funding sources: None.


Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Alanna M Chamberlain ◽  
Margaret C Byrne ◽  
Alvaro Alonso ◽  
Bernard J Gersh ◽  
Sheila M Manemann ◽  
...  

Background: Differences in the prevalence and duration of co-morbid conditions in atrial fibrillation (AF) patients compared to population controls have not been well documented. Methods: The prevalence and duration of 17 chronic conditions defined by the US Department of Health and Human Services, as well as anxiety, obesity, and smoking status, was obtained in a random sample of 1430 patients with incident AF from 2000-2010 and 1430 controls from Olmsted County, MN. Controls were matched to cases 1:1 on sex and age (within 5 years). Chronic conditions were ascertained electronically requiring 2 occurrences of a diagnostic code; the duration of each condition (up to 25 years) was calculated. Logistic regression determined associations of each condition with AF after adjustment for all other conditions. Results: Among the 1430 matched pairs (median age 76 years, 48.6% men), the prevalence of chronic conditions was higher in AF cases compared to controls for all conditions except asthma, dementia, depression, hepatitis, and osteoporosis (figure). However, the duration of the conditions were similar in AF compared to controls, except for hypertension (median duration 12.3 and 9.9 years in AF cases and controls, respectively; p=0.002). After adjusting for all other conditions, obesity, hypertension, congestive heart failure, coronary artery disease, chronic kidney disease, and chronic obstructive pulmonary disease remained significantly more common in AF compared to controls (figure). Conditions with the largest attributable risk of AF were hypertension (25.4%), coronary artery disease (17.7%), and congestive heart failure (12.3%). Conclusions: AF patients have a higher prevalence of many chronic conditions compared to population controls. However, besides hypertension, these comorbidities do not develop earlier in AF. Nevertheless, the excess comorbidity burden in AF is important to characterize and understand as it may partly explain the excess mortality and healthcare utilization experienced by AF patients.


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