scholarly journals Prediction of atrial fibrillation in men with coronary artery disease by artificial neural network

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
E Yaroslavskaya ◽  
S Dyachkov ◽  
E Gorbatenko

Abstract Funding Acknowledgements Type of funding sources: None. Background Atrial fibrillation (AF) is quite common in patients with coronary artery disease (CАD). However, there is no data whether AF is associated with coronary lesion of specific localization. Purpose To select the most sensitive parameters for creating artificial neural networks (ANN) model to predict AF in men with CАD using ANN. Methods We selected the data of men of comparable age with angiographically proven CAD from the Register of coronary angiography: the main group - 180 men with AF, the comparison group - 713 men without AF. To assess the risk of AF the ANN mathematical model was applied - a multilayer perceptron with one hidden layer. The initial number of patients was divided into 3 samples: training, test and control. Results Patients with AF were significantly less frequently employed in budget organizations (55.0% vs 63.7%, p = 0.040), more often demonstrated higher (III-IV) heart failure NYHA classes (49.2% vs 21.1% , p < 0.001), had higher body mass index (BMI) (30.2 [27.4; 33.2] kg/m² vs 29.0 [26.1; 32.3] kg/m², p = 0.002), echocardiographic indices of increased left ventricular (LV) myocardial mass (163.7 [144.5; 192.4] g/m² vs 143.9 [126.1; 169.0] g/m², p < 0.001), LV (25.8 [24.1; 29.1] mm/m² vs 25.6 [23.9; 27.5] mm/m², p = 0.020) and right ventricular dimensions, enlarged left atrium (23.6 [21.7; 25.7] mm/m² vs 21.1 [19.7; 22.7] mm/m², p < 0.001). Rate of hemodynamically significant mitral regurgitation in AF patients was higher (48.2% vs 14.1%, p < 0.001), index of aortic root dimensions (7.7 [16.4; 19.0] mm/m² vs 18.3 [17.8; 20.0] mm/m², р=0.002) and LV ejection fraction (EF) in this group was lower (49 [42; 56]% vs 56 [47; 60]%, p < 0.001), coronary calcification (23.2% vs 15.7%, p = 0.024 ) and proximal lesions of the right coronary artery (RCA) (28.3% vs 22.7%, p = 0.025) were detected more often. Sensitivity of the final model which included 10 parameters was 85%, specificity 86%. Conclusion In CAD men AF can be predicted by ANN model that takes into account the presence of significant mitral regurgitation, non-budgetary employment, severity of heart failure, coronary calcification and proximal lesion of RCA, BMI, echocardiographic indices of the left heart and aortic root dimensions, LVEF.

Author(s):  
E. I. Yaroslavskaya ◽  
S. M. Dyachkov ◽  
E. A. Gorbatenko

Aim. The aim of the study was to select, based on mathematical apparatus of artificial neural networks (ANN), the most sen- sitive parameters for creating an ANN model aimed at prediction of atrial fibrillation (AF) in men with coronary artery disease (CАD).Material and Methods. The study focused on data of men from the register of coronary angiography with angiographically proven coronary artery disease: the main group comprised 180 men with AF; the comparison group comprised 713 men of comparable age without AF. The ANN mathematical model, a multilayer perceptron with one hidden layer, was used to assess the risk of AF. The initial group of patients was divided into three samples: the training, test, and control samples.Results. Patients with AF were significantly less likely to be employed in budget organizations (55.0% vs 63.7%, p = 0.040) and more often showed higher (III–IV) heart failure NYHA classes (49.2% vs 21.1%, p < 0.001), higher body mass index (BMI) (30.2 [27.4; 33.2] kg/m2 vs 29.0 [26.1; 32.3] kg/m2, p = 0.002), and higher echocardiographic indices of the left ventricular (LV) myocardial mass (163.7 [144.5; 192.4] g/m2 vs 143.9 [126.1; 169.0] g/m2, p < 0.001), left (25.8 [24.1; 29.1] mm/m2 vs 25.6 [23.9; 27.5] mm/m2, p = 0.020) and right ventricular dimensions, and the left atrial diameter (23.6 [21.7; 25.7] mm/m2 vs 21.1 [19.7; 22.7] mm/m2, p < 0.001). The group of AF patients had higher rate of hemodynamically significant mitral regurgitation (48.2% vs 14.1%, p < 0.001). In this group of patients, the index of aortic root dimensions (7.7 [16.4; 19.0] mm/m2 vs 18.3 [17.8; 20.0] mm/m2, р = 0.002) and LV ejection fraction (EF) were lower (49 [42; 56]% vs 56 [47; 60]%, p < 0.001); coronary calcification (23.2% vs 15.7%, p = 0.024 ) and proximal lesions of the right coronary artery (RCA) (28.3% vs 22.7%, p = 0.025) were detected more often. The final model, which included 10 parameters, had the diagnostic accuracy of 85%, sensitivity of 85%, and specificity of 86%.Conclusion. Atrial fibrillation in men with coronary artery disease can be predicted by ANN model that takes into account the presence of significant mitral regurgitation, extra-budgetary employment, severity of heart failure, coronary calcification, proximal lesion of RCA, BMI, echocardiographic indexes of left heart, aortic root dimensions, and LV EF.


2003 ◽  
Vol 285 (4) ◽  
pp. H1576-H1581 ◽  
Author(s):  
Fraser D. Russell ◽  
Deborah Meyers ◽  
Andrew J. Galbraith ◽  
Nick Bett ◽  
Istvan Toth ◽  
...  

Human urotensin-II (hU-II) is the most potent endogenous cardiostimulant identified to date. We therefore determined whether hU-II has a possible pathological role by investigating its levels in patients with congestive heart failure (CHF). Blood samples were obtained from the aortic root, femoral artery, femoral vein, and pulmonary artery from CHF patients undergoing cardiac catheterization and the aortic root from patients undergoing investigative angiography for chest pain who were not in heart failure. Immunoreactive hU-II (hU-II-ir) levels were determined with radioimmunoassay. hU-II-ir was elevated in the aortic root of CHF patients (230.9 ± 68.7 pg/ml, n = 21; P < 0.001) vs. patients with nonfailing hearts (22.7 ± 6.1 pg/ml, n = 18). This increase was attributed to cardiopulmonary production of hU-II-ir because levels were lower in the pulmonary artery (38.2 ± 6.1 pg/ml, n = 21; P < 0.001) than in the aortic root. hU-II-ir was elevated in the aortic root of CHF patients with nonischemic cardiomyopathy (142.1 ± 51.5 pg/ml, n = 10; P < 0.05) vs. patients with nonfailing hearts without coronary artery disease (27.3 ± 12.4 pg/ml, n = 7) and CHF patients with ischemic cardiomyopathy (311.6 ± 120.4 pg/ml, n = 11; P < 0.001) vs. patients with nonfailing hearts and coronary artery disease (19.8 ± 6.6 pg/ml, n = 11). hU-II-ir was significantly higher in the aortic root than in the pulmonary artery and femoral vein, with a nonsignificant trend for higher levels in the aortic root than in the femoral artery. The findings indicated that hU-II-ir is elevated in the aortic root of CHF patients and that hU-II-ir is cleared at least in part from the microcirculation.


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.


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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