Prediction of atrial fibrillation by 12-lead electrocardiogram parameters in patients without structural heart disease

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
N Hirota ◽  
S Suzuki ◽  
T Arita ◽  
N Yagi ◽  
T Otsuka ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Regression Analysis ◽  
Heart Diseases ◽  
P Wave ◽  
Funding Source ◽  
Predictive Capability ◽  
Predicting Model ◽  
Total N ◽  
Cox Regression Analysis ◽  
Relative Contribution

Abstract Background Recently, the analysis of electrocardiogram (ECG) waveform by artificial intelligence has been reported to pick out those who have atrial fibrillation (AF) or have a high potential of developing AF, which, however, cannot explain the mechanisms or algorisms for the prediction from its nature. Purpose The purpose of this study is to conduct a comprehensive analysis to investigate the difference of weighting in predicting capability for AF among hundreds of automatically-measured ECG parameters using a single ECG at sinus rhythm. Methods and results Out of Shinken Database 2010–2017 (n=19170), 12825 patients were extracted, where those with ECG showing AF rhythm at the initial visit (including all persistent/permanent AF and a part of paroxysmal AF) and those with structural heart diseases were excluded. Out of 639 automatically-measured ECG parameters in MUSE data management system (GE Healthcare, USA), 438 were used. [Analysis 1] A predicting model for paroxysmal AF were determined by logistic regression analysis (Total, n=12825; paroxysmal AF, n=1138), showing a high predictive capability (AUC = 0.780, p<0.001). In this model, the relative contribution of ECG parameters (by coefficient of determination) according to the time phase were P:72.4%, QRS:32.7%, and ST-T:13.7%, respectively (Figure A). [Analysis 2] Excluding AF at baseline, a predicting model for new-developed AF were determined by Cox regression analysis (Total, n=11687; new-developed AF, n=87), showing a high predictive capability (AUC = 0.887, p<0.001). In this model, the relative contribution of parameters (by log likelihood) according to the time phase were P:40.8%, QRS:42.5%, and ST-T:24.9%, respectively (Figure B). Conclusions We determined ECG parameters that potentially contribute to picking up existing AF or predicting future development of AF, where the measurement of P wave strongly contributed in the former whereas all time phases were similarly important in the latter. Weighting of parameters to predict AF Funding Acknowledgement Type of funding source: Private hospital(s). Main funding source(s): Self funding of the institute

scholarly journals Impact of antithrombotic therapy in the prognosis of atrial fibrillation patients with advanced chronic kidney disease

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J.M Andreu Cayuelas ◽  
S Raposeiras-Roubin ◽  
E Fortuny Frau ◽  
A Garcia Del Egido ◽  
J Seller-Moya ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Antithrombotic Therapy ◽  
Anticoagulation Therapy ◽  
Bleeding Event ◽  
Funding Source ◽  
Newly Diagnosed ◽  
Bleeding Events ◽  
Cox Regression Analysis

Abstract Introduction Chronic kidney disease (CKD) is associated with an elevated thromboembolic and bleeding risk in atrial fibrillation (AF) patients, so the decision of antithrombotic therapy is a challenge. Purpose To analyze mortality, embolic and bleeding events in patients with advanced CKD and AF. Methods Multicentric retrospective registry on patients with AF and advanced CKD (CKD-EPI <30 mL/min/1.73 m2). For death, multivariable Cox regression analysis was developed. For embolic and bleeding events, competing-risks regression based on Fine and Gray's proportional subhazards model was performed, being death the competing event Results We analysed 405 patients with advanced CKD and newly diagnosed AF. 57 patients were not treated with antithrombotic therapy (14.1%), 80 only with antiplatelet/s (19.8%), 211 only with anticoagulation (52.1%), and 57 with anticoagulant plus antiplatelet/s (14.1%). During a follow-up of 4.6±2.5 years, 205 died (50.6%), 34 had embolic events (8.4%) and 85 had bleeding outcomes (21.0%). Bleeding event rate was significantly lower in patients without antithrombotic therapy (Figure). After multivariate analysis, anticoagulant treatment was associated with higher bleeding rates, without differences in mortality or embolic events (Table). Conclusion Anticoagulation therapy was associated with a significant increase in bleeding events in patients with advanced CKD and newly diagnosed AF. None of the antithrombotic therapy regimens resulted in lower embolic events rate neither benefit in mortality. Funding Acknowledgement Type of funding source: Private grant(s) and/or Sponsorship. Main funding source(s): This study was supported by an unconditional grant from BMS-Pfizer

scholarly journals The association between anxiety measured with HADS and use of psychotropic medication among cardiac patients

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
P.F Cromhout ◽  
A.V.C Christensen ◽  
M.B.J Joergensen ◽  
O.E Ekholm ◽  
K.J Juel ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Psychotropic Medication ◽  
Multiple Logistic Regression Analysis ◽  
Study Participant ◽  
Cardiac Patients ◽  
Funding Source ◽  
Cox Regression Analysis ◽  
Increased Risk ◽  
Patient Reported ◽  
One Year

Abstract Background Anxiety among cardiac patients is highly prevalent and is associated to poor outcomes. Certain types of psychotropic medication are suspected of causing adverse events in cardiac patients. However, an association between symptoms of anxiety and use of psychotropic medication among cardiac patients has not yet been established. Purpose The objective was to explore the association between anxiety (measured by HADS-A) and use of psychotropic medication among cardiac patients. Methods All study participant were identified from the DenHeart study and data were a combination of patient-reported survey data and baseline and follow-up data from Danish national registers. Information on redeemed prescriptions of psychotropic medication was obtained from The Danish National Prescription Registry. Anxiety symptoms were defined by a HADS-A score≥8. Patients were defined as users of psychotropic medication if they had redeemed at least one prescription one and three years after discharge. Psychotropic medication was classified by Anatomical Therapeutic Chemical Classification (ATC) codes. Multiple logistic regression analysis within one year and Cox regression analysis within three year from discharge was conducted to determine the association between symptoms of anxiety and use of psychotropic medication. Results Among the 12,913 cardiac patients included, a total of 3231 (28%) redeemed at least one prescription of psychotropic medication within one year and 4726 (37%) within three years after discharge. The most commonly used drugs were benzodiazepines and antidepressants. Among patients using psychotropic medication 1481 (46%) had a HADS-A score ≥8. Cardiac patients with symptoms of anxiety had significantly higher odds of using psychotropic medication within one year from discharge OR 2.47 (95% CI 2.25; 2.72). The increased risk of use of psychotropic medication was confirmed with a almost two-fold risk after three years, HR 1.92 (95% CI 1.80; 2.04), Table 1. Conclusion Cardiac patients with symptoms of anxiety measured by HADS were significantly more likely to use psychotropic medication within one and three years after discharge than cardiac patients without symptoms of anxiety. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Novo Nordisk Foundation

684 Cardiac troponins and adverse outcomes in European patients with atrial fibrillation: a report from the ESC-EHRA EORP atrial fibrillation general long-term registry

2021 ◽  
Vol 23 (Supplement_G) ◽  
Author(s):  
Marrco Vitolo ◽  
Vincenzo Livio Malavasi ◽  
Marco Proietti ◽  
Igor Diemberger ◽  
Laurent Fauchier ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Regression Analysis ◽  
Cox Regression ◽  
Adverse Outcomes ◽  
Cox Regression Analysis ◽  
Coronary Syndrome ◽  
Increased Risk ◽  
History Of ◽  
Cardiac Troponins

Abstract Aims Cardiac troponins (cTn) have been reported to be predictors for adverse outcomes in atrial fibrillation (AF), patients, but their actual use is still unclear. To assess the factors associated with cTn testing in routine clinical practice and to evaluate the association of elevated levels of cTn with adverse outcomes in a large contemporary cohort of European AF patients. Methods and results Patients enrolled in the ESC-EHRA EORP-AF General Long-Term Registry were stratified into three groups according to cTn levels as (i) cTn not tested, (ii) cTn in range (≤99th percentile), and (iii) cTn elevated (>99th percentile). The composite outcome of any thromboembolism/any acute coronary syndrome (ACS)/cardiovascular (CV) death, defined as major adverse cardiovascular events (MACE) and all-cause death were the main endpoints. 10 445 (94.1%) AF patients were included in this analysis [median age 71 years, interquartile range (IQR): 63–77; males 59.7%]. cTn were tested in 2834 (27.1%). Overall, cTn was elevated in 904 (8.7%) and in-range in 1930 (18.5%) patients. Patients in whom cTn was tested tended to be younger (P < 0.001) and more frequently presenting with first detected AF and atypical AF-related symptoms (i.e. chest pain, dyspnoea, or syncope) (P < 0.001). On multivariable logistic regression analysis, female sex, in-hospital enrollment, first-detected AF, CV risk factors, history of coronary artery disease (CAD), and atypical AF symptoms were independently associated with cTn testing. After a median follow-up of 730 days (IQR: 692–749), 957 (9.7%) composite endpoints occurred while all-cause death was 9.5%. Kaplan–Meier analysis showed a higher cumulative risk for both outcomes in patients with elevated cTn levels (Figure) (Log Rank tests, P < 0.001). On adjusted Cox regression analysis, elevated levels of cTn were independently associated with a higher risk for MACE [hazard ratio (HR): 1.74, 95% confidence interval (CI): 1.40–2.16] and all-cause death (HR 1.45, 95% CI: 1.21–1.74). Elevated levels of cTn were independently associated with a higher occurrence of MACE, all-cause death, any ACS, CV death and hospital readmission even after the exclusion of patients with history of CAD, diagnosis of ACS at discharge, those who underwent coronary revascularization during the admission and/or who were treated with oral anticoagulants plus antiplatelet therapy. Conclusions Elevated cTn levels were independently associated with an increased risk of all-cause mortality and adverse CV events, even after exclusion of CAD patients. Clinical factors that might enhance the need to rule out CAD were associated with cTn testing.

P1885Cha2ds-2vasc score lacks of ability to predict mortality in patients attending the emergency department with atrial fibrillation in the presence of troponin i

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M I Gonzalez Del Hoyo ◽  
G Cediel ◽  
A Carrasquer ◽  
G Bonet ◽  
K Vasquez-Nunez ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Emergency Department ◽  
Regression Analysis ◽  
Troponin I ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
All Cause Mortality

Abstract Background CHA2DS2-VASc score has been used as a surrogate marker for predicting outcomes beyond thromboembolic risk in patients with atrial fibrillation (AF). Likewise, cardiac troponin I (cTnI) is a predictor of mortality in AF. Purpose This study aimed to investigate the association of cTnI and CHA2DS2-VASc score with long-term prognosis in patients admitted to the emergency department with AF. Methods A retrospective cohort study conducted between January 2012 and December 2013, enrolling patients admitted to the emergency department with AF and having documented cTnI measurements. CHA2DS2-VASc score was estimated. Primary endpoint was 5-year all-cause mortality, readmission for heart failure (HF), readmission for myocardial infarction (MI) and the composite end point of major adverse cardiac events defined as death, readmission for HF or readmission for MI (MACE). Results A total of 578 patients with AF were studied, of whom 252 patients had elevated levels of cTnI (43.6%) and 334 patients had CHA2DS2-VASc score >3 (57.8%). Patients with elevated cTnI tended to be oldercompared with those who did not have cTnI elevation and were more frequently comorbid and of higher ischemic risk, including hypertension, prior MI, prior HF, chronic renal failure and peripheral artery disease. The overall median CHA2DS2-VASc score was higher in those with cTnI elevation compared to those patients elevated cTnI levels (4.2 vs 3.3 points, p<0.001). Main diagnoses at hospital discharge were tachyarrhythmia 30.3%, followed by heart failure 17.7%, respiratory infections 9.5% and acute coronary syndrome 7.3%. At 5-year follow-up, all-cause death was significantly higher for patients with cTnI elevation compared with those who did not have cTnI elevation (56.4% vs. 27%; logrank test p<0.001). Specifically, for readmissions for HF and readmissions for MI there were no differences in between patients with or without cTnI elevation. In addition, MACE was reached in 165 patients (65.5%) with cTnI elevation, compare to 126 patients (38.7%) without cTnI elevation (p<0.001). On multivariable Cox regression analysis, cTnI elevation was an independent predictor of all-cause death (hazard ratio, 1.67, 95% confidence interval [CI]: 1.24–2.26, p=0.001) and of MACE (hazard ratio 1.47, 95% confidence interval 1.15–1.88; P=0.002), but it did not reach statistical significance for readmissions for MI and readmissions for HF. CHA2DS2-VASc score was a predictor on univariate Cox regression analysis for each endpoint, but it did not reach significance on multivariable Cox regression analysis for any endpoint. Conclusions cTnI is independently associated with long-term all-cause mortality in patients attending the emergency department with AF. cTnI compared to CHA2DS2-VASc score is thus a biomarker with predictive capacity for mortality in late follow-up, conferring utility in the risk stratification of patients with atrial fibrillation.

P3759Comparison of equations for renal function assessment and major adverse outcomes in atrial fibrillation: an analysis from the EORP-AF long-term general registry

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
G Boriani ◽  
M Proietti ◽  
C Laroche ◽  
E Fantecchi ◽  
M Popescu ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Renal Function ◽  
Regression Analysis ◽  
Creatinine Clearance ◽  
Cox Regression ◽  
Weighted Kappa ◽  
Adverse Outcomes ◽  
The Other ◽  
Cox Regression Analysis

Abstract Background Several equations exist to estimate creatinine clearance according to serum creatinine values and baseline characteristics. The CKD-EPI equation is usually recommended in general population, while the Cockroft-Gault (CG) equation has been used in atrial fibrillation (AF) clinical trials. Purpose To perform a comparison between 6 different equations for evaluation of renal function in AF patients. Methods We calculated CKD-EPI, CG, body surface area adjusted CG (CG BSA), MDRD, BIS1 and FAS equations in AF patients enrolled in the EORP-AF Long-Term General Registry. Outcomes at 1-year follow-up were considered. Results Renal equations were calculated in 7725 patients. According to CKD-EPI mean (SD) creatinine clearance was 69.14 (21.06) mL/min/1.73 m2. Taking CKD-EPI as reference, the MDRD equation showed the highest agreement (weighted kappa [95% CI]: 0.843 [0.833–0.852]), while CK showed the lowest agreement (weighted kappa [95% CI]: 0.593 [0.580–0.606]. The remaining equations showed moderate agreement. Cox regression analysis showed that all equations were inversely associated with all major adverse outcomes [Figure]. The CKD-EPI equation showed modest predictive ability for the three outcomes (c-statistics: any TE/ACS/CV Death: 0.63379; CV Death: 0.68512; All-Cause Death: 0.67183), with all other equations reporting higher c-statistics (delta-c statistic ranging from +0.01497 for FAS equation for any TE/ACS/CV Death to +0.04547 for CG BSA for all-cause death) for all outcomes (all p<0.0001, for any equation for any outcome). Compared to CKD-EPI, all the other equations showed an improvement in prediction of outcomes, according to IDI and NRI, with the exception of FAS equation for any TE/ACS/CV Death. CG BSA equation showed the greatest improvement in prediction of outcomes compared to CKD-EPI (relative IDI: 21.9% for any TE/ACS/CV Death, 28.8% for CV Death, 34.4% for All-Cause Death). Cox Regression Analysis Conclusions Compared to CKD-EPI equation, all the other equations for creatine clearance has stronger associations with adverse outcomes, with the CG BSA reporting the higher yield for all the outcomes considered.

scholarly journals Combination of CHARGE AF score and index of 24-hour electrocardiogram to predict incident atrial fibrillation and cardiovascular events

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
T Nishimura ◽  
K Senoo ◽  
I Hibiki ◽  
T Okura ◽  
T Miki ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Regression Analysis ◽  
Roc Curve ◽  
Cardiovascular Events ◽  
Cox Regression ◽  
Cox Regression Analysis ◽  
Holter Ecg ◽  
New Onset

Abstract Background Atrial fibrillation (AF) is associated with increased risks of stroke and heart failure. AF risk prediction can facilitate the efficient deployment of diagnosis or interventions to prevent AF. Purpose We sought to assess the combination prediction value of Holter electrocardiogram (Holter ECG) and the CHARGE-AF score (Cohorts for Aging and Research in Genomic Epidemiology-AF) for the new-onset of AF in a single center study. We also investigated the association between clinical findings and the new-onset of cerebral cardiovascular events. Methods From January 2008 and May 2014, 1246 patients with aged≥20 undergoing Holter ECG for palpitations, dizziness, or syncope were recruited. Among them, 350 patients were enrolled in this study after exclusion of 1) AF history at the time of inspection or before, 2) post cardiac device implantation, 3) follow-up duration &lt;1 year, and 4) no 12-lead ECG records within 6 months around Holter ECG. Results During the 5.9-year follow-up, 40 patients (11.4%) developed AF incidence. Multivariate cox regression analysis revealed that CHARGE-AF score (hazard ratio [HR]: 1.59, 95% confidence interval (95% CI): 1.13–2.26, P&lt;0.01), BMI (HR: 0.91, 95% CI: 0.83–0.99, P=0.03), frequent supraventricular extrasystoles (SVEs) ≥1000 beats/day (HR: 4.87, 95% CI: 2.59–9.13, P&lt;0.001) and first-degree AV block (HR: 3.52, 95% CI: 1.63–7.61, P&lt;0.01) were significant independent predictors for newly AF. The area under the ROC curve (AUC) of the combination of the CHARGE-AF score and frequent SVEs (≥1000) was greater than the CHARGE-AF score alone (0.73, 95% CI: 0.64–0.82 vs 0.66, 95% CI: 0.56–0.75, respectively). On the ROC curve, the CHARGE-AF score of 12.9 was optimum cut-off value for newly AF. Patients with both the CHARGE-AF score≥12.9 and SVEs≥1000 developed AF at 129.0/1000 person-years, compared with those with the CHARGE-AF score&lt;12.9 and SVEs≥1000 (48.9), the CHARGE-AF score≥12.9 and SVEs&lt;1000 (40.0) and the CHARGE-AF score&lt;12.9 and SVEs&lt;1000 (7.4), respectively. In multivariate cox regression analysis, age, past history of congestive heart failure and myocardial infarction, and antihypertensive medication were significant predictors of cerebral cardiovascular events (n=43), all of which signifying the components of the CHARGE-AF score. The AUC of the combination of the CHARGE-AF score and frequent SVEs (≥1000) was not different from the CHARGE-AF score alone (0.73, 95% CI: 0.64–0.81 vs 0.73, 95% CI: 0.64–0.82, respectively). Conclusion CHARGE-AF score has higher predictive power of both the new incident AF and cerebral cardiovascular events. The combination of CHARGE-AF score and SVEs≥1000 beats/day in Holter ECG can demonstrate the additional effect of prediction ability for the new incident AF, but not for cerebral cardiovascular events. FUNDunding Acknowledgement Type of funding sources: None.

scholarly journals Impact of malignancy on outcomes in European patients with atrial fibrillation: a report from the ESC-EHRA EURObservational Research Programme in Atrial Fibrillation General Long-Term Registry

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
V L Malavasi ◽  
M Vitolo ◽  
M Proietti ◽  
L Fauchier ◽  
F Marin ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Regression Analysis ◽  
Lower Risk ◽  
Cox Regression ◽  
Cumulative Risk ◽  
Research Programme ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Prior Malignancy

Abstract Background Management of patients with atrial fibrillation (AF) and malignancy is a clinical challenge given the paucity of evidence supporting the appropriate clinical management. Purpose To evaluate the outcomes of patients with active or prior malignancy in a large contemporary cohort of European AF patients. Methods We analyzed patients enrolled in the ESC-EHRA EORP-AF General Long-Term Registry. We stratified the population into three categories (i) No Malignancy (NoM) (ii) Prior Malignancy (PriorM) and (iii) Active Malignancy (ActM). The primary outcome for this analysis was all-cause death among the three groups. The association between anticoagulant treatment, all-cause death and haemorrhagic events was also evaluated. Results Among the original 11 096 AF patients enrolled, 10 383 were included in this analysis (median age 71 years (interquartile range [IQR] 63–77, males 59.7%). Of these, 9 597 (92.4%) were NoM patients, 577 (5.6%) PriorM and 209 (2%) ActM. Patients with malignancy (prior or active) had a higher median age, median CHA2DS2-VASc and HAS-BLED scores, compared to patients without malignancy (p&lt;0.001). Lack of anticoagulation (AC) prescription occurred more commonly in ActM (21.5%) as compared with the other groups (PriorM 10.1% vs NoM 12.8%, p&lt;0.001). In case of AC treatment, patients with ActM were treated more frequently with heparins (ActM 8.1% vs PriorM 2.4% vs NoM 2%, p&lt;0.001). After a median follow-up of 730 days [IQR 692–749], 982 (9.5%) patients died. Among all deaths, the proportion of cardiovascular death was different according to the three groups (40.0% in NoM, 26.0% in PrioM and 22.2% in ActM, p=0.002). For all cause-death, Kaplan-Meier analysis showed a progressively higher cumulative risk in the PriorM and ActM groups compared to NoM patients (Figure 1). On multivariable Cox regression analysis, adjusted for CHA2DS2-VASc score, use of AC, type of AF and chronic kidney disease, ActM group was independently associated with a higher risk for all cause death (hazard ratio [HR] 2.90, 95% confidence interval [CI] 2.23–3.76) while PriorM group was not. Among PriorM and NoM patients, multivariable adjusted Cox regression analysis found that the use of any AC was independently associated with a lower risk for all-cause death (HR 0.36, 95% CI 0.19–0.66; HR 0.66, 95% CI 0.54–0.81). No significant association between AC and all-cause death was found for ActM patients. Conclusions In a large contemporary cohort of European AF patients, active malignancy was found to be independently associated with all-cause death. Use of any AC was associated with a lower risk for all-cause death in patients with no malignancies and with prior malignancies, but with no significant association amongst patients with active malignancies. FUNDunding Acknowledgement Type of funding sources: Other. Main funding source(s): Since the start of EORP, the following companies have supported the programme: Abbott Vascular Int. (2011–2021), Amgen Cardiovascular (2009–2018), AstraZeneca (2014–2021), Bayer (2009–2018), Boehringer Ingelheim (2009–2019), Boston Scientific (2009–2012), The Bristol Myers Squibb and Pfizer Alliance (2011–2016), The Alliance Daiichi Sankyo Europe GmbH and Eli Lilly and Company (2011–2017), Edwards (2016–2019), Gedeon Richter Plc. (2014–2017), Menarini Int. Op. (2009–2012), MSD-Merck & Co. (2011–2014), Novartis Pharma AG (2014–2020), ResMed (2014–2016), Sanofi (2009–2011), SERVIER (2010–2021), and Vifor (2019–2022). Figure 1. Kaplan-Meier for all-cause death

P3474Relationship between international normalized ratio variability, quality of anticoagulation control and outcomes in patients with atrial fibrillation: an AFFIRM post-hoc analysis

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Proietti ◽  
G F Romiti ◽  
B Olshansky ◽  
G Y H Lip
Keyword(s):  
Atrial Fibrillation ◽  
Regression Analysis ◽  
Standard Deviation ◽  
Major Bleeding ◽  
International Normalized Ratio ◽  
Cox Regression Analysis ◽  
Increased Risk ◽  
Anticoagulation Control

Abstract Introduction Quality of anticoagulation control is essential to ensure better clinical outcomes in patients with atrial fibrillation (AF). Time in therapeutic range (TTR) is recommended as a measure of the quality of anticoagulation control. The International normalized ratio (INR) variability has been suggested as an alternative index, even though large independent validations for this index are still lacking. Purpose To provide validation of clinical usefulness of INR variability as a measure of the quality of anticoagulation control in a large cohort of AF patients. Methods Data from the Atrial Fibrillation Follow-up Investigation of Rhythm Management (AFFIRM) trial were analysed. INR variability was defined as the standard deviation (SD) of mean INR values [INR-SD] recorded throughout the follow-up observation for each patient. All patients with available INR values were included in the analysis. Stroke, major bleeding, cardiovascular (CV) death and all-cause death were study outcomes. Results Among the original 4060 patients, a total of 3185 (78.4%) were available for analysis. Mean (SD) INR-SD was 0.58 (0.25). According to INR-SD patients were categorized into four quartiles. Mean (SD) CHA2DS2-VASc score was increased (p=0.040), with no difference in proportions of CHA2DS2-VASc ≥2 (p=0.582) between the subgroups. A significant inverse correlation was found between INR-SD and TTR (Spearman's Rho: −0.536, p<0.001). Continuous INR-SD, after multiple adjustments, was inversely associated with TTR (standardized beta: −0.451, p<0.001) and directly associated with SAMe-TT2R2score (standardized beta: 0.084, p<0.001). A fully adjusted Cox multivariate regression analysis found that INR-SD was directly associated with increased risk of stroke, major bleeding and all-cause death (Table). An INR-SD ≥0.85 was directly associated with all the study outcomes, on multivariate analysis (Table). Cox Regression Analysis INR-SD INR-SD ≥0.85 HR (95% CI) HR (95%) Stroke 2.52 (1.34–4.67) 1.62 (1.00–2.63) Major Bleeding 2.43 (1.49–3.96) 1.61 (1.10–2.36) CV Death 1.50 (0.87–2.59) 1.54 (1.07–2.24) All-Cause Death 1.79 (1.21–2.66) 1.55 (1.17–2.05) CI = Confidence Interval; CV = Cardiovascular; HR = Hazard Ratio; INR-SD = International Normalized Ratio Standard Deviation. Conclusions INR variability, expressed as INR-SD, was significantly correlated and associated with TTR. Both continuous INR-SD and INR-SD ≥0.85 were significantly associated with a higher risk of all study adverse outcomes. Acknowledgement/Funding None

P5656Heart failure clinical phenotypes and outcomes in patients with atrial fibrillation: an analysis from the eurobservational research programme in atrial fibrillation long-term general registry

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Proietti ◽  
C Laroche ◽  
A Tello-Montoliu ◽  
R Lenarczyk ◽  
G A Dan ◽  
...  
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Acute Coronary Syndrome ◽  
Regression Analysis ◽  
Cox Regression ◽  
Adverse Outcomes ◽  
Cox Regression Analysis ◽  
Coronary Syndrome

Abstract Introduction Heart failure (HF) is a well-known risk factor for atrial fibrillation (AF). Moreover, HF is associated with worse clinical outcomes in patients with known AF. Recently, phenotypes of HF have been redefined according to the level of ejection fraction (EF). New data are needed to understand if a differential risk for outcomes exists according to the new phenotypes' definitions. Purpose To evaluate the risk of major adverse outcomes in patients with AF and HF according to HF clinical phenotypes. Methods We performed a subgroup analysis of AF patients enrolled in the EORP-AF Long-Term General Registry with a history of HF at baseline, available EF and follow-up data. Patients were categorized as follows: i) EF<40%, i.e. HF reduced EF [HFrEF]; ii) EF 40–49%, i.e. HF mid-range EF [HFmrEF]; iii) EF ≥50%, i.e. HF preserved EF [HFpEF]. Any thromboembolic event (TE)/acute coronary syndrome (ACS)/cardiovascular (CV) death, CV death and all-cause death were recorded. Results A total of 3409 patients were included in this analysis: of these, 907 (26.6%) had HFrEF, 779 (22.9%) had HFmrEF and 1723 (50.5%) had HFpEF. An increasing proportion with CHA2DS2-VASc ≥2 was found across the three groups: 90.4% in HFrEF, 94.6% in HFmrEF and 97.3% in HFpEF (p<0.001), while lower proportions of HAS-BLED ≥3 were seen (28.0% in HFrEF, 26.3% in HFmrEF and 23.6% in HFpEF, p=0.035). At discharge patients with HFpEF were less likely treated with antiplatelet drugs (22.0%) compared to other classes and were less prescribed with vitamin K antagonists (VKA) (57.0%) and with any oral anticoagulant (OAC) (85.7%). No differences were found in terms of non-vitamin K antagonist oral anticoagulant use. At 1-year follow-up, a progressively lower rate for all study outcomes (all p<0.001), with an increasing cumulative survival, was found across the three groups, with patients with HFpEF having better survival (all p<0.0001 for Kaplan-Meier curves). After full adjustment, Cox regression analysis showed that compared to HFrEF, HFmrEF and HFpEF were associated with risk of all study outcomes (Table). Cox Regression Analysis HR (95% CI) Any TE/ACS/CV Death CV Death All-Cause Death HFmrEF 0.65 (0.49–0.86) 0.53 (0.38–0.74) 0.55 (0.41–0.74) HFpEF 0.50 (0.39–0.64) 0.42 (0.31–0.56) 0.45 (0.35–0.59) ACS = Acute Coronary Syndrome; CI = Confidence Interval; CV = Cardiovascular; EF = Ejection Fraction; HF = Heart Failure; HR = Hazard Ratio. Conclusions In this cohort of AF patients with HF, HFpEF was the most common phenotype, being associated with a profile related to an increased thromboembolic risk. Compared to HFrEF, both HFmrEF and HFpEF were associated with a lower risk of all major adverse outcomes in AF patients.

Real-time Atrial Fibrillation Detection Using Artificial Neural Network on a Wearable Electrocardiogram

2019 ◽  
Vol 2 (3) ◽  
pp. 144-150
Author(s):  
Aulia A. Iskandar ◽  
Klaus Schilling
Keyword(s):  
Neural Network ◽  
Atrial Fibrillation ◽  
Artificial Neural Network ◽  
Heart Disease ◽  
Real Time ◽  
Rural Areas ◽  
Heart Diseases ◽  
P Wave ◽  
Artificial Neural ◽  
Heart Condition

Providing equal healthcare quality on heart diseases are an issue in developing countries, especially in Indonesia, due to is wide-spread areas. It is founded that the heart diseases occur not only in big cities but also in rural areas, that is caused by unhealthy lifestyle and foods. Heart disease itself is a disease with gradually symptoms changes that can be seen based on the hearts' electrical activity or electrocardiogram signals. Now, wearable medical devices are capable to be worn daily, so that, it can monitor our heart condition and alert if there is an abnormality. An embedded device worn on the chest can be used to perform a real-time data acquisition and processing of the electrocardiogram, that consists of a 1-lead ECG, an ARM processor, a Bluetooth module, an SD card, and rechargeable batteries. Also, by performing a digital filter and Tompkins algorithm, we obtain the P-wave presences and the heart rate variability values (heartbeat, average heartbeat, standard deviation, and root mean square) then by using an artificial neural network with 4 input, 6 hidden, and 1 output layers that has multi-layer perceptrons and backpropagation. We are able to perform a pre-diagnosis of atrial fibrillation, that is one of the common arrhythmias, from 41 recorded training samples (Physionet MIT/BIH AFDB and NSRDB) and 6 healthy subjects as test samples. The neural network has 0.1% error rate and needed 31548 epochs to train itself for classification the heart disease. Based on the results, this prototype can be used as a medical-grade wearable device thatcan help cardiologist in giving an early warning on the user's heart condition, so that it can prevent sudden death due to heart diseases in rural areas.

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