scholarly journals A new clinical risk score for predicting the prevalence of low‐voltage areas in patients undergoing atrial fibrillation ablation

2020 ◽  
Vol 31 (12) ◽  
pp. 3150-3158
Author(s):  
Yasuhiro Matsuda ◽  
Masaharu Masuda ◽  
Mitsutoshi Asai ◽  
Osamu Iida ◽  
Shin Okamoto ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Score ◽  
Low Voltage ◽  
Atrial Fibrillation Ablation ◽  
Clinical Risk Score ◽  
Clinical Risk

scholarly journals A new clinical risk score for predicting the prevalence of low-voltage areas in patients undergoing atrial fibrillation ablation

2020 ◽  
Author(s):  
Yasuhiro Matsuda ◽  
Masaharu Masuda ◽  
Mitsutoshi Asai ◽  
Osamu Iida ◽  
Shin Okamoto ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Score ◽  
Low Voltage ◽  
Atrial Fibrillation Ablation ◽  
Clinical Risk Score ◽  
Clinical Risk

scholarly journals Predicting atrial fibrillation after cryptogenic stroke via a clinical risk score—a prospective observational study

2021 ◽  
Author(s):  
Markus Kneihsl ◽  
Egbert Bisping ◽  
Daniel Scherr ◽  
Harald Mangge ◽  
Simon Fandler‐Höfler ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Observational Study ◽  
Risk Score ◽  
Prospective Observational Study ◽  
Cryptogenic Stroke ◽  
Clinical Risk Score ◽  
Clinical Risk

scholarly journals A Simple Clinical Risk Score (C2HEST) for Predicting Incident Atrial Fibrillation in Asian Subjects

CHEST Journal ◽  
2019 ◽  
Vol 155 (3) ◽  
pp. 510-518 ◽  
Author(s):  
Yan-Guang Li ◽  
Daniele Pastori ◽  
Alessio Farcomeni ◽  
Pil-Sung Yang ◽  
Eunsun Jang ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Score ◽  
Clinical Risk Score ◽  
Clinical Risk

scholarly journals Left atrial strain predicts subclinical atrial fibrillation detected by long-term continuous rhythm monitoring in elderly high-risk individuals

2021 ◽  
Vol 22 (Supplement_1) ◽  
Author(s):  
FJ Olsen ◽  
SZ Diederichsen ◽  
PG Jorgensen ◽  
MT Jensen ◽  
A Dahl ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Score ◽  
Left Atrial ◽  
Speckle Tracking ◽  
Clinical Risk Score ◽  
Loop Recorder ◽  
Clinical Risk ◽  
Increased Risk ◽  
Rhythm Monitoring

Abstract Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): he Innovation Fund Denmark (grant no.: 12-135225), The Research Foundation for the Capital Region of Denmark, The Danish Heart Foundation (grant no.: 11-04-R83-A3363-22625 and 18-R125-A8534-22083), Aalborg University Talent Management Programme, Arvid Nilssons Fond, Skibsreder Per Henriksen, R. og Hustrus Fond, and Medtronic Background Left atrial (LA) speckle tracking is a novel technique that provides detailed information on atrial function. Its utility for predicting subclinical atrial fibrillation (SCAF) is, however, not well-established. Purpose To investigate whether LA speckle tracking measures are associated with SCAF as detected by long-term continuous rhythm monitoring. Methods This was an echocardiographic substudy of a randomized controlled clinical trial that enrolled elderly individuals (≥70 years) with a CHADS2-score≥2 to either no intervention or implantation of a loop recorder (Reveal LINQ) to detect SCAF (≥6 minutes). A subset of the participants receiving a loop recorder was included in this analysis. An echocardiographic examination was performed, which included conventional measurements and LA speckle tracking. LA speckle tracking allowed for assessment of reservoir, conduit, and contraction strain. Multivariable proportional hazards Cox regression was applied to adjust for the clinical risk score (CHARGE-AF) and net reclassification index (NRI) was used to assess prognostic improvement of this score. Incidence rate curves were constructed using Poisson models. Results Overall, 976 participants were eligible for analysis. Median follow-up time was 3 years (interquartile range: 1.7-4.0 years), during which 284 (29%) were diagnosed with SCAF. The mean age was 74 years, 56% were male, median CHA2DS2-VASc-score was 4. A dilated LA (LA volume≥34ml/m2) was observed in 152 (16%). LA speckle tracking revealed that both LA reservoir strain and contraction strain were univariable predictors of SCAF (HR = 1.05 (1.03-1.06) and HR = 1.07 (1.05-1.10), p < 0.001, per 1% decrease), such that decreasing reservoir and contraction strain were linearly associated with an increased risk of SCAF (figure). LA conduit strain was not a predictor of SCAF. These findings were unchanged after adjusting for the CHARGE-AF score, and both LA strain measures significantly improved the NRI when added to the CHARGE-AF score by 23% and 33%, respectively. Even in participants with normal LA size, both reservoir and contraction strain were independent predictors of SCAF after multivariable adjustment (HR = 1.03 (1.01-1.05), p = 0.001 and HR = 1.06 (1.04-1.09), p < 0.001, per 1% decrease). Conclusion Decreasing left atrial reservoir and contraction strain are independently associated with an increased risk of SCAF as detected by long-term continuous monitoring and provide incremental prognostic value in addition to clinical risk score. Abstract Figure.

scholarly journals Clinical Risk Score for the Prediction of Incident Atrial Fibrillation: Derivation in 7 220 654 Taiwan Patients With 438 930 Incident Atrial Fibrillations During a 16‐Year Follow‐Up

2021 ◽  
Author(s):  
Tze‐Fan Chao ◽  
Chern‐En Chiang ◽  
Tzeng‐Ji Chen ◽  
Jo‐Nan Liao ◽  
Ta‐Chuan Tuan ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
High Risk ◽  
Risk Score ◽  
Risk Group ◽  
Low Risk ◽  
Intermediate Risk ◽  
Clinical Risk Score ◽  
Clinical Risk ◽  
Asian Patients

Background Although several risk schemes have been proposed to predict new‐onset atrial fibrillation (AF), clinical prediction models specific for Asian patients were limited. In the present study, we aimed to develop a clinical risk score (Taiwan AF score) for AF prediction using the whole Taiwan population database with a long‐term follow‐up. Methods and Results Among 7 220 654 individuals aged ≥40 years without a past history of cardiac arrhythmia identified from the Taiwan Health Insurance Research Database, 438 930 incident AFs occurred after a 16‐year follow‐up. Clinical risk factors of AF were identified using Cox regression analysis and then combined into a clinical risk score (Taiwan AF score). The Taiwan AF score included age, male sex, and important comorbidities (hypertension, heart failure, coronary artery disease, end‐stage renal disease, and alcoholism) and ranged from −2 to 15. The area under the receiver operating characteristic curve of the Taiwan AF scores in the predictions of AF are 0.857 for the 1‐year follow‐up, 0.825 for the 5‐year follow‐up, 0.797 for the 10‐year follow‐up, and 0.756 for the 16‐year follow‐up. The annual risks of incident AF were 0.21%/year, 1.31%/year, and 3.37%/year for the low‐risk (score −2 to 3), intermediate‐risk (score 4 to 9), and high‐risk (score ≥10) groups, respectively. Compared with low‐risk patients, the hazard ratios of incident AF were 5.78 (95% CI, 3.76–7.75) for the intermediate‐risk group and 8.94 (95% CI, 6.47–10.80) for the high‐risk group. Conclusions We developed a clinical AF prediction model, the Taiwan AF score, among a large‐scale Asian cohort. The new score could help physicians to identify Asian patients at high risk of AF in whom more aggressive and frequent detections and screenings may be considered.

P5667A clinical risk score for predicting incident atrial fibrillation in Asians: derivation in 7,220,654 Taiwan subjects with 438,930 incident atrial fibrillation

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
T F Chao ◽  
S A Chen
Keyword(s):  
Atrial Fibrillation ◽  
Risk Score ◽  
Cox Regression ◽  
Past History ◽  
Research Database ◽  
Clinical Risk Score ◽  
Clinical Predictors ◽  
Cox Regression Analysis ◽  
Clinical Risk ◽  
Taiwan National Health Insurance

Abstract Background The patient number of atrial fibrillation (AF) is continuously increasing all over the world. No risk score for predicting incident AF has been specifically developed using a nationwide dataset for Asians. Our aim was to investigate risk factors for incident AF in Asians and to combine them to develop a clinical risk scheme. Method From January 1st 2000 to December 31st 2000, 7,220,654 subjects aged >40 years without past history of cardiac arrhythmia were identified from the Taiwan National Health Insurance Research Database. Cox regression analysis was performed to identify significant clinical predictors of incident AF which were then incorporated together to develop a scoring scheme. Results During a follow up of 16 years, 438,930 patients experienced incident AF. The significant predictors and the calculation rule of the scoring scheme are shown in Figure A. The score ranged from −3 to 25, and the risk of incident AF ranged from 0.06%/year for patients with a score −3 to 7.99%/year for those with a score >19. The AUC in the prediction of 1-year risk of incident AF was 0.86 and was 0.75 for 16-year risk of AF (Figure B), which was higher than that of CHADS2, CHA2DS2-VASc and C2HEST scores. Conclusion A clinical risk score has been developed based on a large nationwide database which could be used to identify patients at a high risk of incident AF.

The Admit-AF risk score: A clinical risk score for predicting hospital admissions in patients with atrial fibrillation

2020 ◽  
pp. 204748732091535 ◽  
Author(s):  
Pascal Meyre ◽  
Stefanie Aeschbacher ◽  
Steffen Blum ◽  
Michael Coslovsky ◽  
Jürg H Beer ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Score ◽  
Hospital Admissions ◽  
Clinical Risk Score ◽  
Clinical Risk

Abstract 125: Validation of a Clinical Risk Score for Predicting Atrial Fibrillation in Cryptogenic Stroke Patients With Insertable Cardiac Monitors: Insights From the CRYSTAL AF Study

Stroke ◽  
2018 ◽  
Vol 49 (Suppl_1) ◽  
Author(s):  
Rod S Passman ◽  
Paul D Ziegler ◽  
Calvin Kwong ◽  
Michael H Crawford ◽  
Jodi L Koehler ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Score ◽  
Cryptogenic Stroke ◽  
Clinical Risk Score ◽  
Stroke Patients ◽  
Clinical Risk

scholarly journals A Clinical Risk Score for Atrial Fibrillation in a Biracial Prospective Cohort (from the Atherosclerosis Risk In Communities [ARIC] Study)

2011 ◽  
Vol 107 (1) ◽  
pp. 85-91 ◽  
Author(s):  
Alanna M. Chamberlain ◽  
Sunil K. Agarwal ◽  
Aaron R. Folsom ◽  
Elsayed Z. Soliman ◽  
Lloyd E. Chambless ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Risk Score ◽  
Prospective Cohort ◽  
Clinical Risk Score ◽  
Atherosclerosis Risk In Communities ◽  
Clinical Risk ◽  
Atherosclerosis Risk ◽  
Aric Study
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