scholarly journals Quantifying Risk Factors for Atrial Fibrillation: Retrospective Review of a Large Electronic Patient Database

2020 ◽  
Vol 13 (3) ◽  
Author(s):  
Dhanunjaya Lakkireddy
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Retrospective Review ◽  
Patient Database ◽  
Quantifying Risk

Optimizing Heart Rate and Controlling Symptoms in Atrial Fibrillation

2016 ◽  
Vol 10 (1) ◽  
pp. 26
Author(s):  
Pragnesh Parikh ◽  
◽  
KL Venkatachalam ◽  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Rate Control ◽  
Stroke Risk ◽  
Symptom Control ◽  
Review Article ◽  
Rhythm Control ◽  
Ventricular Rate ◽  
Control Methods ◽  
Novel Approaches

Atrial fibrillation (AF) is the most common arrhythmia noted in clinical practice and its incidence and prevalence are on the rise. The single most important intervention is the evaluation and treatment of stroke risk. Once the risk for stroke has been minimized, controlling the ventricular rate and treating symptoms become relevant. In this review article, we emphasize the importance of confirming and treating the appropriate arrhythmia and correlating symptoms with rhythm changes. Furthermore, we evaluate some of the risk factors for AF that independently result in symptoms, underlining the need to treat these risk factors as part of symptom control. We then discuss existing and novel approaches to rate control in AF and briefly cover rhythm control methods.

Lone Atrial Fibrillation: Electrophysiology, Risk Factors, Catheter Ablation and Other Non-pharmacologic Treatments

2014 ◽  
Vol 21 (5) ◽  
pp. 580-590 ◽  
Author(s):  
Arun Kanmanthareddy ◽  
Martin Emert ◽  
Rhea Pimentel ◽  
Yeruva Reddy ◽  
Sudharani Bommana ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Catheter Ablation ◽  
Lone Atrial Fibrillation ◽  
Pharmacologic Treatments

Prevalence and prognostic impact of left ventricular systolic dysfunction after acute myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T.J Jernberg ◽  
E.O Omerovic ◽  
E.H Hamilton ◽  
K.L Lindmark ◽  
L.D Desta ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Myocardial Infarction ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Reperfusion Therapy ◽  
Left Ventricular ◽  
Funding Source ◽  
Additional Risk Factor ◽  
Additional Risk

Abstract Background Left ventricular dysfunction after an acute myocardial infarction (MI) is associated with poor outcome. The PARADISE-MI trial is examining whether an angiotensin receptor-neprilysin inhibitor reduces the risk of cardiovascular death or worsening heart failure (HF) in this population. The aim of this study was to examine the prevalence and prognosis of different subsets of post-MI patients in a real-world setting. Additionally, the prognostic importance of some common risk factors used as risk enrichment criteria in the PARADISE-MI trial were specifically examined. Methods In a nationwide myocardial infarction registry (SWEDEHEART), including 87 177 patients with type 1 MI between 2011–2018, 3 subsets of patients were identified in the overall MI cohort (where patients with previous HF were excluded); population 1 (n=27 568 (32%)) with signs of acute HF or an ejection fraction (EF) <50%, population 2 (n=13 038 (15%)) with signs of acute HF or an EF <40%, and population 3 (PARADISE-MI like) (n=11 175 (13%)) with signs of acute HF or an EF <40% and at least one risk factor (Age ≥70, eGFR <60, diabetes mellitus, prior MI, atrial fibrillation, EF <30%, Killip III-IV and STEMI without reperfusion therapy). Results When all MIs, population 1 (HF or EF <50%), 2 (HF or EF <40%) and 3 (HF or EF <40% + additional risk factor (PARADISE-MI like)) were compared, the median (IQR) age increased from 70 (61–79) to 77 (70–84). Also, the proportion of diabetes (22% to 33%), STEMI (38% to 50%), atrial fibrillation (10% to 24%) and Killip-class >2 (1% to 7%) increased. After 3 years of follow-up, the cumulative probability of death or readmission because of heart failure in the overall MI population and in population 1 to 3 was 17.4%, 26.9%, 37.6% and 41.8%, respectively. In population 2, all risk factors were independently associated with death or readmission because of HF (Age ≥70 (HR (95% CI): 1.80 (1.66–1.95)), eGFR <60 (1.62 (1.52–1.74)), diabetes mellitus (1.35 (1.26–1.44)), prior MI (1.16 (1.07–1.25)), atrial fibrillation (1.35 (1.26–1.45)), EF <30% (1.69 (1.58–1.81)), Killip III-IV (1.34 (1.19–1.51)) and STEMI without reperfusion therapy (1.34 (1.21–1.48))) in a multivariable Cox regression analysis. The risk increased with increasing number of risk factors (Figure 1). Conclusion Depending on definition, post MI HF is present in 13–32% of all MI patients and is associated with a high risk of subsequent death or readmission because of HF. The risk increases significantly with every additional risk factor. There is a need to optimize management and improve outcomes for this high risk population. Figure 1 Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Novartis

scholarly journals Atrial thrombi in elective patients considered for atrial fibrillation rhythm control: Risk factors and prognostic value

2021 ◽  
Author(s):  
Marcella Cabral Caires ◽  
Roberto Muniz Ferreira ◽  
Thaís Fonseca Rodrigues ◽  
David Hong Kang ◽  
Lúcia Helena Alvares Salis ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Prognostic Value ◽  
Rhythm Control ◽  
Atrial Thrombi ◽  
Elective Patients ◽  
Control Risk

scholarly journals Greater cardiorespiratory fitness reduces incidence of atrial fibrillation: a meta-analysis

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
C Verdicchio ◽  
A Elliott ◽  
R Mahajan ◽  
D Linz ◽  
D Lau ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Risk Factor ◽  
Cardiorespiratory Fitness ◽  
Meta Analysis ◽  
Exercise Stress ◽  
Inverse Association ◽  
Exercise Interventions ◽  
Increased Risk ◽  
Statistical Heterogeneity

Abstract Funding Acknowledgements Type of funding sources: None. Introduction  Atrial Fibrillation (AF) is the most common sustained cardiac arrhythmia affecting 1-2% of the global population, with the prevalence of AF increasing dramatically over the past two decades. Although low levels of cardiorespiratory fitness (CRF) and physical activity are predictive of cardiovascular disease onset and mortality, only recently has this emerged as a potential risk factor for AF. Purpose The aim of this meta-analysis was therefore to quantify the relationship between CRF, measured by a symptom limited exercise stress test, and incident AF. We hypothesised that there would be an inverse relationship between CRF and the incidence of AF. Methods The systematic literature review was conducted using PUBMED, MEDLINE and EMBASE databases, with seven studies meeting the inclusion criteria. A random-effects meta-analysis was then used to compare the multivariate risk estimates of the lowest CRF group from each cohort with the group of the highest CRF. Results Data from 206,925 individuals (55.8% males) was used for analysis with a mean age of 55 ± 2.5 years and a mean follow-up period of 10.3 ± 5 years. The total number of AF events across the studies was 19,913. The overall pooled risk of AF in the high-CRF group versus the low-CRF group showed a significant lower risk of incident AF in those with high-CRF (OR: 0.52, 95% CI, 0.44-0.605, p < 0.001). There was evidence of statistical heterogeneity between the studies (I2 = 81%, p < 0.001). AF incidence rates demonstrated an overall decline in rates across the CRF quartiles from low to high. The mean incidence rate for low-CRF was 21 ± 13.4 compared to 6.9 ± 0.7 per 1000 person-years for the high CRF group (p = 0.03). Conclusion There is an inverse association between a lower CRF and an increased risk of AF, with a higher level of CRF protective against AF. This study highlights that low-CRF may be an additional risk factor for AF along with already other established lifestyle-based risk factors such as obesity and hypertension. Exercise interventions should be promoted as a primary prevention strategy in those at risk of developing AF with known risk factors. Future studies are warranted to identify the mechanism(s) through which improved CRF confers a reduction in AF incidence. Abstract Figure. AF risk between high and low-CRF

scholarly journals Prevalence, Epidemiological Characteristics, and Pharmacotherapy of Coronary Artery Disease among Patients with Atrial Fibrillation: Data from Jo-Fib Study

Medicina ◽  
2021 ◽  
Vol 57 (6) ◽  
pp. 605
Author(s):  
Hanna K. Al-Makhamreh ◽  
Mohammed Q. Al-Sabbagh ◽  
Ala’ E. Shaban ◽  
Abdelrahman F. Obiedat ◽  
Ayman J. Hammoudeh
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Antiplatelet Agents ◽  
Retrospective Case ◽  
Increased Risk ◽  
Artery Disease ◽  
Epidemiological Characteristics ◽  
Cad Risk

Background and Objectives: Patients with AF are at increased risk for Coronary Artery Disease (CAD) owing to their shared etiologies and risk factors. This study aimed to assess the prevalence, cardiovascular risk factors, and used medications of CAD in AF patients. Materials and Methods: This retrospective, case-control study utilized data from the Jordanian Atrial Fibrillation (Jo-Fib) registry. Investigators collected clinical features, history of co-existing comorbidities, CHA2DS2-VASc, and HAS BLED scores for all AF patients aged >18 visiting 19 hospitals and 30 outpatient cardiology clinics. A multivariable binary logistic regression was used to asses for factors associated with higher odds of having CAD. Results: Out of 2000 patients with AF, 227 (11.35%) had CAD. Compared to the rest of the sample, those with CAD had significantly higher prevalence of hypertension (82.38%; p < 0.01), hypercholesterolemia (66.52%, p < 0.01), diabetes (56.83%, p < 0.01), and smoking (18.06%, p = 0.04). Patients with AF and CAD had higher use of anticoagulants/antiplatelet agents combination (p < 0.01) compared to the rest of the sample. Females had lower CAD risk than males (OR = 0.35, 95% CI: 0.24–0.50). AF Patients with dyslipidemia (OR = 2.5, 95% CI: 1.8–3.4), smoking (OR = 1.7, 95% CI: 1.1–2.6), higher CHA2DS2-VASc score (OR = 1.5, 95% CI: 1.4–1.7), and asymptomatic AF (OR = 1.9, 95% CI: 1.3–2.6) had higher risk for CAD. Conclusions: Owing to the increased prevalence of CAD in patients with AF, better control of cardiac risk factors is recommended for this special group. Future studies should investigate such interesting relationships to stratify CAD risk in AF patients. We believe that this study adds valuable information regarding the prevalence, epidemiological characteristics, and pharmacotherapy of CAD in patients with AF.

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