Acceptability of a Novel Smartphone Application for Rhythm Evaluation in Patients with Atrial Fibrillation

Background: Investigators at UMass Medical School and WPI co-developed a novel smartphone application (app), PULSESMART, that detects atrial fibrillation (AF). AF is the world’s most common, serious heart rhythm problem. In its early stages, most cases of AF are paroxysmal (pAF), making them difficult to identify early in the course of disease. Long-term cardiac monitoring is frequently needed to diagnose and prevent complications from AF, such as stroke. Home monitoring for AF can be clinically impactful but existing technologies have cost or methodological limitations. Data are needed on the potential acceptability and usability of heart rhythm monitoring applications. Aim: Our aim was to examine patient acceptability of using a pAF detection app. Methods: 52 patients with pAF underwent rhythm assessment using the app and completed a standardized questionnaire. We looked specifically at responses to 3 questions: 1) how easy was it to use? 2) How important could it be for you? And 3) to what extent does it fit into your daily life? Results: The mean age was 68.5 years and 69% female. The majority of patients reported the app was easy to use (73%), could be important to them and their health (84%), and would fit into their daily lives (78%). Conclusions: After use of the pAF detection app, most patients reported positively. The results suggest that older persons with, or at risk for, pAF may benefit from smartphone-based arrhythmia detection platforms. Further work is needed to assess the feasibility of at-home or in-clinic app use

Modified Hatch Score Predicts 6-Month Recurrence of Atrial Fibrillation after Pulmonary Vein Isolation: Data from the University Of Massachusetts Atrial Fibrillation Registry

AIMS: Pre-procedural identification of patients with atrial fibrillation (AF) who will benefit most from pulmonary vein isolation remains challenging. The HATCH score [Hypertension x1 + Age≥75 x1 + Thrombo-embolic event x2, COPD x1, Heart failure x2] has been associated with progression of AF and recently with adverse outcomes after catheter ablation. However, data regarding the HATCH score are limited. This study aimed to evaluate the performance of a modified HATCH scoring system, including pre-procedural obstructive sleep apnea as an additional risk element, compared to the CHADS risk score as a predictor of AF recurrence after an index pulmonary vein isolation procedure for AF. METHODS AND RESULTS: Seventy eight patients (48 men, mean age 60 ± 1.1 years) with paroxysmal or persistent AF underwent an index pulmonary vein isolation procedure between 2010 and 2014 using either radiofrequency (n=64) or cryoballoon (n = 14). Over a 6-month follow-up period, 35 patients had recurrence (44.9%) when monitored using Holter monitoring and in-office ECGs. The modified HATCH score was associated on univariate testing with AF recurrence. In multivariate logistic regression analyses including factors known to be associated with AF recurrence, the modified HATCH score (p: 0.03) was independently associated with AF recurrence and showed superior test characteristics using ROC curve analysis (C statistic = 0.64 for modified HATCH vs. 0.55 for CHADS2). The difference between the modified HATCH and the CHADS2 scores in predicting recurrence was not statistically significant (p = 0.8). CONCLUSIONS: AF recurred in 44% of patients over a 6-month follow-up. A modified HATCH including OSA successfully identified individuals at risk for 6-month recurrence. Further research is needed including larger cohorts of patients undergoing ablation and followed for more extended periods to further validate the performance of the modified HATCH score

Circulating Cell and Plasma microRNA Profiles Differ between Non-ST-Segment and ST-Segment-Elevation Myocardial Infarction

BACKGROUND: Differences in plasma and whole blood expression microRNAs (miRNAs) in patients with an acute coronary syndrome (ACS) have been determined in both in vitro and in vivo studies. Although most circulating miRNAs are located in the cellular components of whole blood, little is known about the miRNA profiles of whole blood subcomponents, including plasma, platelets and leukocytes in patients with myocardial ischemia. METHODS: Thirteen patients with a ST-segment-elevation (STEMI) or non-ST-segment elevation (NSTEMI) myocardial infarction were identified in the University of Massachusetts Medical Center Emergency Department (ED) or cardiac catheterization laboratory between February and June of 2012. Whole blood was obtained from arterial blood samples at the time of cardiac catheterization and cell-specific miRNA profiling was performed. Expression of 343 miRNAs was quantified from whole blood, plasma, platelets, and peripheral blood mononuclear cells using a high-throughput, quantitative Real-Time polymerase-chain reaction system (qRT-PCR). RESULTS: MiRNAs associated with STEMI as compared to NSTEMI patients included miR-25-3p, miR-221-3p, and miR-374b-5p. MiRNA 30d-5p was associated with plasma, platelets, and leukocytes in both STEMI and NSTEMI patients; miRNAs 221-3p and 483-5p were correlated with plasma and platelets only in NSTEMI patients. CONCLUSIONS: Cell-specific miRNA profiles differed between patients with STEMI and NSTEMI. The miRNA distribution is also unique amongst plasma, platelets, and leukocytes in patients with ischemic heart disease or ACS. Our findings suggest unique miRNA profiles among the circulating subcomponents in patients presenting with myocardial ischemia

Burden of Psychosocial and Cognitive Impairment in Patients With Atrial Fibrillation

BACKGROUND: Impairments in psychosocial status and cognition relate to poor clinical outcomes in patients with atrial fibrillation (AF). However, how often these conditions co-occur and associations between burden of psychosocial and cognitive impairment and quality of life (QoL) have not been systematically examined in patients with AF. METHODS: A total of 218 patients with symptomatic AF were enrolled in a prospective study of AF and psychosocial factors between May 2013 and October 2014 at the University of Massachusetts Medical Center. Cognitive function, depression, and anxiety were assessed at baseline and AF-specific QoL was assessed 6 months after enrollment using validated instruments. Demographic and clinical information were obtained from a structured interview and medical record review. RESULTS: The mean age of the study participants was 63.5 +/- 10.2 years, 35% were male, and 81% had paroxysmal AF. Prevalences of impairment in 1, 2, and 3 psychosocial/cognitive domains (eg, depression, anxiety, or cognition) were 75 (34.4%), 51 (23.4%), and 16 (7.3%), respectively. Patients with co-occurring psychosocial/cognitive impairments (eg, \u3e 1 domain) were older, more likely to smoke, had less education, and were more likely to have heart failure (all P \u3c 0.05). Compared with participants with no psychosocial/cognitive impairments, AF-specific QoL at 6 months was significantly poorer among participants with baseline impairment in 2 (B = -13.6, 95% CI: -21.7 to -5.4) or 3 (B = -15.1, 95% CI: -28.0 to -2.2) psychosocial/cognitive domains. CONCLUSION: Depression, anxiety, and impaired cognition were common in our cohort of patients with symptomatic AF and often co-occurred. Higher burden of psychosocial/cognitive impairment was associated with poorer AF-specific QoL

Plasma microRNAs are Associated with Atrial Fibrillation (the miRhythm Study) and Change After Catheter-ablation

Background: Atrial fibrillation (AF) is the most common dysrhythmia in the U.S. and Europe. Few biomarkers exist to identify individuals at risk for AF. Cardiac microRNAs (miRNAs) have been implicated in susceptibility to AF and are detectable in the circulation. Nevertheless, data are limited on how circulating levels of miRNAs relate to AF or change over time after catheter- ablation. Methods: In 211 miRhythm participants (112 with paroxysmal or persistent AF; 99 without AF), we quantified plasma expression of 86 miRNAs associated with cardiac remodeling or disease by high-throughput quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR). We used qRT-PCR to examine change in plasma miRNA expression from baseline to 1-month after ablation in 47 participants. We also quantified expression of the 20 most variable miRNAs in atrial tissue in 31 participants undergoing cardiac surgery. Results: The mean age of the miRhythm cohort was 59 years and 58% of participants were men. 21 miRNAs differed significantly between participants with AF and those with no AF in regression models adjusting for known AF risk factors (p value of ≤ 0.0006). Several miRNAs associated with AF, including miR-21, miR-29a, miR-122, miR-150, miR-320, and miR-92a, regulate expression of genes implicated in the pathogenesis of AF. Levels of 33 miRNAs, including 14 associated with AF, changed significantly between baseline and 1-month after catheter ablation (p value of ≤ 0.0006). Although all AF-related plasma miRNAs were expressed in atrial tissue, only miR-21 and miR-411 differed significantly with respect to preoperative AF status. Conclusions: Plasma levels of miRNAs associated with heart disease and cardiac remodeling were related to AF and changed after catheter-ablation. Our study suggests that AF has a unique circulating miRNA profile and that this profile is influenced by catheter-ablation

Effect of Left Atrial Function Index on Late Atrial Fibrillation Recurrence after Pulmonary Vein Isolation

Background: Although the rates of catheter ablation (CA) for atrial fibrillation (AF) are rapidly increasing, there are few predictors of outcome to help inform appropriate patient selection for this procedure. Traditional echocardiographic measures of atrial structure do not significantly reclassify risk of AF recurrence over and above the clinical risk factors. Left Atrial Function Index (LAFI) is a rhythm-independent measure of atrial function. We hypothesized that baseline LAFI would relate to AF recurrence after CA. Methods: Pre-procedural echocardiograms from 170 participants, who underwent CA for AF and were enrolled in the UMMC AF Treatment Registry, were analyzed. LAFI was calculated by a previously validated formula. Primary outcome was late or clinically significant AF recurrence 3-12 months after CA. Baseline clinical, laboratory and echocardiographic variables were compared between the recurrence and non-recurrence groups. Results: Study participants were middle aged (60+/10 years) and had a moderate-to-severe burden of cardiovascular comorbidities. 78 participants (46%) experienced late AF recurrence. Mean LAFI was 0.26+/-0.18. In multivariate analysis, lower LAFI was independently associated with the risk of recurrence (0.23 in recurrence group vs 0.29 in non-recurrence group, p \u3c 0.01). Predictive value of LAFI for AF recurrence was similar to CHADS2 score (c-statistic 0.60 vs 0.58, p 0.76). In subgroup of patients with persistent AF, LAFI predicted AF recurrence more strongly than CHADS2 score (c-statistic: 0.79 vs 0.58, p 0.02). Conclusions: In our cohort of 170 participants with AF undergoing index CA ablation, we observed that LAFI related to late AF recurrence after CA, independent of the traditional risk factors. Since LAFI can be calculated from almost any traditional echocardiographic recording, our findings suggest that LAFI may help guide therapeutic decision-making regarding application of CA, particularly among challenging patients with symptomatic persistent AF

Multi-ethnic genome-wide association study for atrial fibrillation

Atrial fibrillation (AF) affects more than 33 million individuals worldwide and has a complex heritability. We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF

Pengaruh latihan aksi reaksi terhadap kelincahan dalam pembelajaran pendidikan jasmani, olahraga, dan kesehatan melalui pembelajaran online

Aksi reaksi merupakan unsur yang sangat penting bagi peserta didik karena akan mempengaruhi respon dalam berpikir, adaptasi, dan pengambilan keputusan. Sedangkan kelincahan merupakan suatu komponen kondisi fisik yang dibutuhkan oleh setiap orang untuk berpindah tempat dari satu titik ke titik yang lain dengan didukung oleh beberapa item kondisi fisik yang lain.  Tujuan penelitian ini adalah untuk mengidentifikasi pengaruh dari latihan aksi reaksi terhadap kelincahan. Selain itu, prediksi besaran nilai kelincahan dari latihan aksi reaksi yang dilakukan siswa juga diperhitungkan. Subjek di penelitian ini sebanyak 22 peserta didik kelas V (lima) di sekolah yang ada di Kab. Tangerang. Data latihan aksi reaksi dikumpulkan melalui lembar observasi guru, sedangkan data kelincahan diperoleh dari instrumen tes Dogging run. Data dalam penelitian dianalisis dengan cara kuantitatif dengan metode regresi linier sederhana. Data yang dikumpulkan dalam penelitian ini telah melalui uji asumsi klasik yaitu : (1) Uji normalitas menggunakan One-Sample Kolmogorov-Smirnov test, (2) Uji Heteroskedastisitas menggunakan uji Gletser, dan (3) Uji linieritas. Selanjutnya peneliti melakukan uji regresi linier sederhana dengan melihat nilai taraf signifikansi. Setelah itu, diperoleh persamaan regresi linier sederhana yaitu  Y=3,886+0,234. Hasil penelitian menunjukkan adanya pengaruh signifikan dari latihan aksi  reaksi terhadap kelincahan dalam gerakan lokomotor

Arrhythmia discrimination using a smart phone

We hypothesize that our smartphone-based arrhythmia discrimination algorithm with data acquisition approach reliably differentiates between normal sinus rhythm (NSR), atrial fibrillation (AF), premature ventricular contractions (PVCs) and premature atrial contraction (PACs) in a diverse group of patients having these common arrhythmias. We combine root mean square of successive RR differences and Shannon entropy with Poincare plot (or turning point ratio method) and pulse rise and fall times to increase the sensitivity of AF discrimination and add new capabilities of PVC and PAC identification. To investigate the capability of the smartphone-based algorithm for arrhythmia discrimination, 99 subjects, including 88 study participants with AF at baseline and in NSR after electrical cardioversion, as well as seven participants with PACs and four with PVCs were recruited. Using a smartphone, we collected 2-min pulsatile time series from each recruited subject. This clinical application results show that the proposed method detects NSR with specificity of 0.9886, and discriminates PVCs and PACs from AF with sensitivities of 0.9684 and 0.9783, respectively

Multi-ethnic genome-wide association study for atrial fibrillation

Atrial fibrillation (AF) affects more than 33 million individuals worldwide(1) and has a complex heritability(2). We conducted the largest meta-analysis of genome-wide association studies (GWAS) for AF to date, consisting of more than half a million individuals, including 65,446 with AF. In total, we identified 97 loci significantly associated with AF, including 67 that were novel in a combined-ancestry analysis, and 3 that were novel in a European-specific analysis. We sought to identify AF-associated genes at the GWAS loci by performing RNA-sequencing and expression quantitative trait locus analyses in 101 left atrial samples, the most relevant tissue for AF. We also performed transcriptome-wide analyses that identified 57 AF-associated genes, 42 of which overlap with GWAS loci. The identified loci implicate genes enriched within cardiac developmental, electrophysiological, contractile and structural pathways. These results extend our understanding of the biological pathways underlying AF and may facilitate the development of therapeutics for AF