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Chen Y, Gue Y, Calvert P, Gupta D, McDowell G, Azariah JL, Namboodiri N, Bucci T, Jabir A, Tse HF, Chao TF, Lip GYH, Bahuleyan CG. Predicting stroke in Asian patients with atrial fibrillation using machine learning: A report from the KERALA-AF registry, with external validation in the APHRS-AF registry. Curr Probl Cardiol 2024; 49:102456. [PMID: 38346609 DOI: 10.1016/j.cpcardiol.2024.102456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Accepted: 02/08/2024] [Indexed: 02/16/2024]
Abstract
Atrial fibrillation (AF) is a significant risk factor for stroke. Based on the higher stroke associated with AF in the South Asian population, we constructed a one-year stroke prediction model using machine learning (ML) methods in KERALA-AF South Asian cohort. External validation was performed in the prospective APHRS-AF registry. We studied 2101 patients and 83 were to patients with stroke in KERALA-AF registry. The random forest showed the best predictive performance in the internal validation with receiver operator characteristic curve (AUC) and G-mean of 0.821 and 0.427, respectively. In the external validation, the light gradient boosting machine showed the best predictive performance with AUC and G-mean of 0.670 and 0.083, respectively. We report the first demonstration of ML's applicability in an Indian prospective cohort, although the more modest prediction on external validation in a separate multinational Asian registry suggests the need for ethnic-specific ML models.
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Affiliation(s)
- Yang Chen
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
| | - Ying Gue
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
| | - Peter Calvert
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
| | - Dhiraj Gupta
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom
| | - Garry McDowell
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom; School of Pharmacy and Biomolecular Sciences, Liverpool John Moores University, Liverpool, United Kingdom
| | - Jinbert Lordson Azariah
- Department of Clinical Research, Ananthapuri Hospitals and Research Institute, Thiruvananthapuram, India; Department of Research, Global Institute of Public Health, Trivandrum, India
| | - Narayanan Namboodiri
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Tommaso Bucci
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom; Department of General and Specialized Surgery, Sapienza University of Rome, Rome, Italy
| | - A Jabir
- Lisie Heart Institute, Ernakulam, India
| | - Hung Fat Tse
- Division of Cardiology, Department of Medicine, School of Clinical Medicine; Queen Mary Hospital, the University of Hong Kong, Hong Kong SAR, China
| | - Tze-Fan Chao
- Institute of Clinical Medicine, and Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan; Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Gregory Y H Lip
- Liverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University and Liverpool Heart and Chest Hospital, Liverpool, United Kingdom; Danish Centre for Health Services Research, Department of Clinical Medicine, Aalborg University, Aalborg, DK-9220, Denmark.
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Kılıç R, Güzel T, Aktan A, Demir M, Arslan B, Ertaş F. The effect of treatment strategy on long-term follow-up results in patients with nonvalvular atrial fibrillation in Turkey: AFTER-2 subgroup analysis. Aging Clin Exp Res 2023:10.1007/s40520-023-02467-y. [PMID: 37329474 DOI: 10.1007/s40520-023-02467-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 06/02/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND We performed a subanalysis of the data from the AFTER-2 registry. In our study, we aimed to compare the long-term follow-up results of nonvalvular atrial fibrillation (NVAF) patients in Turkey according to their treatment strategies. METHODS All consecutive patients older than 18 years of age who presented to cardiology outpatient clinics, had at least one AF attack and did not have rheumatic mitral valve stenosis or prosthetic heart valve disease were included in our prospective study. The patients were divided into two groups as rhythm control and rate control. Stroke, hospitalization and death rates were compared between the groups. RESULTS A total of 2592 patients from 35 centers were included in the study. Of these patients, 628 (24.2%) were in the rhythm control group and 1964 (75.8%) in the rate control group. New-onset ischemic cerebrovascular disease or transient ischemic attack (CVD/TIA) was detected at a lower rate in the rhythm control group (3.2% vs. 6.2% p = 0.004). However, there was no significant difference in one-year and five-year mortality rates (9.6% versus 9.0%, p = 0.682 and 31.8% versus 28.6%, p = 0.116, respectively). Hospitalization were found to be significantly higher in patients with rhythm control group (18% vs. 13%, p = 0.002). CONCLUSION It was found that rhythm control strategy is preferred in AF patients in Turkey. We found a lower rate of ischemic CVD/TIA in patients in the rhythm control group. Although no difference was observed in mortality rates, we found a higher rate of hospitalization in the rhythm control group.
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Affiliation(s)
- Raif Kılıç
- Department of Cardiology, Memorial Diyarbakır Hospital, Diyarbakır, Turkey.
| | - Tuncay Güzel
- Department of Cardiology, Health Science University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey
| | - Adem Aktan
- Department of Cardiology, Mardin Training and Research Hospital, Mardin, Turkey
| | - Muhammed Demir
- Department of Cardiology, Dicle University, Faculty of Medicine, Diyarbakır, Turkey
| | - Bayram Arslan
- Department of Cardiology, Ergani State Hospital, Diyarbakır, Turkey
| | - Faruk Ertaş
- Department of Cardiology, Dicle University, Faculty of Medicine, Diyarbakır, Turkey
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Lin JC, Li CH, Chen YY, Weng CJ, Chien YS, Wu SJ, Lo CP, Tien HC, Lin CH, Huang JL, Lin YJ, Hsieh YC, Chen SA. Rhythm Control Better Prevents Dementia than Rate Control Strategies in Patients with Atrial Fibrillation-A Nationwide Cohort Study. J Pers Med 2022; 12:jpm12040572. [PMID: 35455688 PMCID: PMC9025212 DOI: 10.3390/jpm12040572] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 03/24/2022] [Accepted: 03/31/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Atrial fibrillation (AF) increases the risk of dementia. Whether the pharmacological rhythm control of AF can reduce the risk of dementia compared to the rate control strategy remains unclear. We hypothesize that the rhythm control strategy is better than the rate control strategy in preventing dementia. Methods: AF patients aged ≥65 years were identified from the Taiwan National Health Insurance Database. Patients receiving anti-arrhythmic drugs at a cumulative defined daily dose (cDDD) of >30 within the first year of enrollment constituted the rhythm control group. Patients who used rate control medications for a cDDD of >30 constituted the rate control group. A multivariate Cox hazards regression model was used to determine the hazard ratio (HR) for dementia. Results: A total of 3382 AF patients (698 in the rhythm control group; 2684 in the rate control group) were analyzed. During a 4.86 ± 3.38 year follow-up period, 414 dementia events occurred. The rhythm control group had a lower rate of dementia than the rate control group (adjust HR: 0.75, p = 0.031). The rhythm control strategy reduced the risk of dementia particularly in those receiving aspirin (p = 0.03). Conclusions: In patients with AF, pharmacological rhythm control was associated with a lower risk of dementia than rate control over a long-term follow-up period, particularly in patients receiving aspirin treatment.
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Affiliation(s)
- Jiunn-Cherng Lin
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (J.-C.L.); (C.-H.L.); (C.-J.W.); (Y.-S.C.); (S.-J.W.); (J.-L.H.); (S.-A.C.)
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
- Department of Internal Medicine, Taichung Veterans General Hospital Chiayi Branch, Chiayi 60090, Taiwan
- Department of Data Science and Big Data Analytics, Providence University, Taichung 43301, Taiwan;
- Department of Financial Engineering, Providence University, Taichung 43301, Taiwan;
| | - Cheng-Hung Li
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (J.-C.L.); (C.-H.L.); (C.-J.W.); (Y.-S.C.); (S.-J.W.); (J.-L.H.); (S.-A.C.)
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
- Department of Data Science and Big Data Analytics, Providence University, Taichung 43301, Taiwan;
- Department of Financial Engineering, Providence University, Taichung 43301, Taiwan;
| | - Yun-Yu Chen
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan;
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei 10617, Taiwan
| | - Chi-Jen Weng
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (J.-C.L.); (C.-H.L.); (C.-J.W.); (Y.-S.C.); (S.-J.W.); (J.-L.H.); (S.-A.C.)
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
- Department of Data Science and Big Data Analytics, Providence University, Taichung 43301, Taiwan;
- Department of Financial Engineering, Providence University, Taichung 43301, Taiwan;
| | - Yu-Shan Chien
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (J.-C.L.); (C.-H.L.); (C.-J.W.); (Y.-S.C.); (S.-J.W.); (J.-L.H.); (S.-A.C.)
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
- Department of Internal Medicine, Taichung Veterans General Hospital Chiayi Branch, Chiayi 60090, Taiwan
- Department of Data Science and Big Data Analytics, Providence University, Taichung 43301, Taiwan;
- Department of Financial Engineering, Providence University, Taichung 43301, Taiwan;
| | - Shang-Ju Wu
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (J.-C.L.); (C.-H.L.); (C.-J.W.); (Y.-S.C.); (S.-J.W.); (J.-L.H.); (S.-A.C.)
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
| | - Chu-Pin Lo
- Department of Data Science and Big Data Analytics, Providence University, Taichung 43301, Taiwan;
| | - Hui-Chun Tien
- Department of Financial Engineering, Providence University, Taichung 43301, Taiwan;
| | - Ching-Heng Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung 40705, Taiwan;
- Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung 40704, Taiwan
| | - Jin-Long Huang
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (J.-C.L.); (C.-H.L.); (C.-J.W.); (Y.-S.C.); (S.-J.W.); (J.-L.H.); (S.-A.C.)
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
- School of Medicine, National Chung Hsing University, Taichung 40227, Taiwan
| | - Yenn-Jiang Lin
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan;
| | - Yu-Cheng Hsieh
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (J.-C.L.); (C.-H.L.); (C.-J.W.); (Y.-S.C.); (S.-J.W.); (J.-L.H.); (S.-A.C.)
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
- Department of Data Science and Big Data Analytics, Providence University, Taichung 43301, Taiwan;
- Department of Financial Engineering, Providence University, Taichung 43301, Taiwan;
- School of Medicine, National Chung Hsing University, Taichung 40227, Taiwan
- Correspondence: ; Tel.: +886-4-2251-6648; Fax: +886-4-2359-9257
| | - Shih-Ann Chen
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; (J.-C.L.); (C.-H.L.); (C.-J.W.); (Y.-S.C.); (S.-J.W.); (J.-L.H.); (S.-A.C.)
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Hsinchu 11217, Taiwan;
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan;
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Lin PL, Chiou WR, Su MI, Huang CC, Liao FC, Liu LYM, Chuang JY, Chen CY, Tsai CT, Kuo JY, Yang TF, Wu YJ, Lee YH. Exploratory Evaluation of Rhythm Control by Dronedarone in Combination With Low-Dose Rivaroxaban, Warfarin, Antiplatelet, or None of the Antithrombotic Therapy in High-Risk Patients With Non-Permanent Atrial Fibrillation: A Retrospective Cohort Study. Clin Appl Thromb Hemost 2021; 27:10760296211052968. [PMID: 34894780 PMCID: PMC8671665 DOI: 10.1177/10760296211052968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The emerging data supports rhythm control to prevent major adverse cardiac events (MACE) in high-risk patients with atrial fibrillation (AF). Limited data demonstrated rivaroxaban 10 mg combining dronedarone seemed feasible. This study aimed at investigating clinical events in a dronedarone-treated cohort. This exploratory, retrospective chart review was conducted in nonpermanent AF patients receiving dronedarone for ≥ 3 months between 2009/1 and 2016/2. In Taiwan, dronedarone's labeled indication was strict to age ≥ 70 or 65 to 70 years with either hypertension, diabetes, prior stroke, or left atrium >50 mm. We divided all into 4 groups using antithrombotic strategies to evaluate the safety, effectiveness, and MACE endpoints. A total of 689 patients (mean CHA2DS2-VASc score 3.8 ± 1.4) were analyzed: rivaroxaban 10 mg (n = 93, 13.5%), warfarin (n = 89, 12.9%), antiplatelet (n = 331, 48.0%), and none (n = 176, 25.5%). During the follow-up period (mean 946 ± 493.8 days), the rivaroxaban group did not report any stroke or thromboembolism (ishcmeic stroke rate: antiplatelet [0.6%], none [1.1%]; hemorrahgic stroke rate: warfarin [2.2%]; thromboembolism rate: warfarin [2.2%]). There was no significant difference in safety, effectiveness, and MACE endpoints between groups. Also, >104 weeks of dronedarone use was the independent predictor for MACE after adjusting the strategy and other covariates (hazard ratio 0.14 [95% confidence interval 0.04-0.44], P = .001). Our findings warrant concomitant rivaroxaban 10 mg and dronedarone for further investigation. Regardless of antithrombotic strategies, a more extended persistence of dronedarone was associated with fewer MACE.
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Affiliation(s)
- Po-Lin Lin
- 156934Hsinchu MacKay Memorial Hospital, Hsinchu, Taiwan.,210861National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Wei-Ru Chiou
- 117127Taitung MacKay Memorial Hospital, Taitung, Taiwan.,145474MacKay Medical College, New Taipei, Taiwan
| | - Min-I Su
- 117127Taitung MacKay Memorial Hospital, Taitung, Taiwan
| | | | - Feng-Ching Liao
- 145474MacKay Medical College, New Taipei, Taiwan.,36897MacKay Memorial Hospital, Taipei, Taiwan
| | - Lawrence Yu-Min Liu
- 156934Hsinchu MacKay Memorial Hospital, Hsinchu, Taiwan.,145474MacKay Medical College, New Taipei, Taiwan
| | | | - Chun-Yen Chen
- 145474MacKay Medical College, New Taipei, Taiwan.,36897MacKay Memorial Hospital, Taipei, Taiwan
| | - Cheng-Ting Tsai
- 145474MacKay Medical College, New Taipei, Taiwan.,36897MacKay Memorial Hospital, Taipei, Taiwan.,36897MacKay Junior College of Medicine, Nursing, and Management, Taipei, Taiwan
| | - Jen-Yuan Kuo
- 145474MacKay Medical College, New Taipei, Taiwan.,36897MacKay Memorial Hospital, Taipei, Taiwan
| | - Ten-Fang Yang
- 210861National Yang Ming Chiao Tung University, Hsinchu, Taiwan.,Taipei Medical University and Hospital, 63474Taipei, Taiwan
| | - Yih-Jer Wu
- 145474MacKay Medical College, New Taipei, Taiwan.,36897MacKay Memorial Hospital, Taipei, Taiwan
| | - Ying-Hsiang Lee
- 145474MacKay Medical College, New Taipei, Taiwan.,36897MacKay Memorial Hospital, Taipei, Taiwan.,36897MacKay Junior College of Medicine, Nursing, and Management, Taipei, Taiwan
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Zhang P, Chamberlain AM, Hodge DO, Cai C, Xiao PL, Han J, Jiang CY, Redfield MM, Roger VL, Cha YM. Outcomes of incident atrial fibrillation in heart failure with preserved or reduced ejection fraction: A community-based study. J Cardiovasc Electrophysiol 2020; 31:2275-2283. [PMID: 32584498 DOI: 10.1111/jce.14632] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 06/03/2020] [Accepted: 06/06/2020] [Indexed: 11/26/2022]
Abstract
INTRODUCTION The best management strategy for patients with atrial fibrillation (AF) with heart failure (HF) and preserved left ventricular ejection fraction (LVEF) is unknown. METHODS AND RESULTS This cohort study was conducted in Olmsted County, Minnesota, with resources of the Rochester Epidemiology Project. Patients with incident AF occurring between 2000 and 2014 with a prior or concurrent HF were included. Patients with LVEF ≥ 50% were designated as HF and preserved ejection fraction (HFpEF) and those with LVEF < 50% were designated as HF and reduced ejection fraction (HFrEF). Rhythm control in the first year after AF diagnosis was defined as prescriptions for an antiarrhythmic drug, catheter ablation, or maze procedure. The primary endpoint was all-cause mortality. The secondary endpoints were cardiovascular death, cardiovascular hospitalization, and stroke or transient ischemic attack. Of 859 patients (age, 77.2 ± 12.1 years; 49.2%, female), 447 had HFpEF-AF, and 412 had HFrEF-AF. There was no difference in all-cause mortality (10-year mortality, 83% vs 79%; p = .54) or secondary endpoints between the HFpEF-AF and HFrEF-AF, respectively. Compared with the rate control strategy, rhythm control in HFpEF-AF patients (n = 40, 15.9%) offered no survival benefits (adjusted HR, 0.70; 95% CI, 0.42-1.16; p = .16), whereas rhythm control in HFrEF-AF patients (n = 52, 22.5%) decrease cardiovascular mortality (HR, 0.38; 95% CI, 0.17-0.86; p = .02). CONCLUSIONS Patients with HFpEF-AF and HFrEF-AF had similar poor prognoses. Rhythm control strategy was seldom adopted in community care in patients with HF and AF. A rhythm control strategy may provide survival benefit for patients with HFrEF-AF and the benefit of rhythm control in patients with HFpEF-AF warrants further study.
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Affiliation(s)
- Pei Zhang
- Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | | | - David O Hodge
- Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida, USA
| | - Cheng Cai
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Pei L Xiao
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Jie Han
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Chen-Yang Jiang
- Department of Cardiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Margaret M Redfield
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Veronique L Roger
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Yong-Mei Cha
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
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Sluyter JD, Camargo CA, Lowe A, Scragg RKR. Pulse rate variability predicts atrial fibrillation and cerebrovascular events in a large, population-based cohort. Int J Cardiol 2018; 275:83-88. [PMID: 30318296 DOI: 10.1016/j.ijcard.2018.10.026] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2018] [Revised: 10/04/2018] [Accepted: 10/08/2018] [Indexed: 11/19/2022]
Abstract
BACKGROUND Many patients with atrial fibrillation (AF) present with stroke as their first clinical manifestation and since improved AF screening methods are thus required, we investigated whether pulse rate variability parameters predict future AF and cerebrovascular events. METHODS In an observational cohort study of 5000 community-resident adults (58% male; 50-84 years), the beat-to-beat variability of suprasystolic brachial blood pressure waveforms was measured with root mean square of successive differences (RMSSD) and irregularity index (IrrIx). Based on outcome-oriented and previously validated thresholds for detecting AF, RMSSD and IrrIx were dichotomised at 100 ms and 7.7%, respectively. Participants were followed up for 4.6 years (median), accruing 249 AF and 120 cerebrovascular events in the total sample (n = 5000), and 133 AF and 90 cerebrovascular events among those without prior AF diagnosis (n = 4296). RESULTS In multivariable-adjusted analyses, an elevated RMSSD (>100 ms) or IrrIx (>7.7%) was strongly associated with a higher risk of AF (hazard ratios (HRs) = 2.00-2.95) and cerebrovascular events (HRs = 1.91-2.28), even among people without prior AF diagnosis: HRs for AF = 1.70-2.05 and cerebrovascular events = 2.00-2.28. These associations were strongest in the highest RMSSD tertile >100 ms or IrrIx tertile >7.7%: HRs for AF = 2.32-4.47 and cerebrovascular events = 2.43-3.69. Among those without prior AF diagnosis, the highest categorical net reclassification improvement for 5-year cerebrovascular risk was 14% (95% confidence interval: 7-21%). CONCLUSIONS Elevated RMSSD or IrrIx values indicative of the presence of AF predict future AF and cerebrovascular events; more so with increasing pulse irregularity and even among those without prior AF diagnosis.
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Affiliation(s)
- John D Sluyter
- School of Population Health, University of Auckland, Auckland, New Zealand.
| | - Carlos A Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA
| | - Andrew Lowe
- Institute for Biomedical Technologies, Auckland University of Technology, Auckland, New Zealand
| | - Robert K R Scragg
- School of Population Health, University of Auckland, Auckland, New Zealand
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Weng CJ, Li CH, Liao YC, Lin CC, Lin JC, Chang SL, Lo CP, Huang KC, Huang JL, Lin CH, Hsieh YC, Wu TJ. Data for rate versus rhythm control strategy on stroke and mortality in patients with atrial fibrillation. Data Brief 2018; 20:1279-1285. [PMID: 30238040 PMCID: PMC6143751 DOI: 10.1016/j.dib.2018.08.199] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 08/25/2018] [Accepted: 08/31/2018] [Indexed: 11/16/2022] Open
Abstract
The data relates to the cohort of patients with atrial fibrillation (AF) from the National Health Insurance Research Database of Taiwan, "Rhythm Control Better Prevents Stroke and Mortality than Rate Control Strategies in Patients with Atrial Fibrillation - A Nationwide Cohort Study" (Weng et al., in press). The AF patients might receive either rate or rhythm control strategy according to the medication used. The baseline medication in rate and rhythm control groups was included in this dataset. Multivariate Cox hazards regression model was used to evaluate the hazard ratio (HR) for major adverse cardiovascular events (MACE), including ischemic/hemorrhagic stroke and mortality in AF patients receiving rate or rhythm control. The occurrence of MACE was identified from the ICD-9 CM codes. The data also contains the HR for MACE stratified by the CHA2DS2-VASc score, baseline characteristics, and the duration of strategy employed of the AF patients.
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Affiliation(s)
- Chi-Jen Weng
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Cheng-Hung Li
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan.,Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan.,Department of Financial Engineering, Providence University, Taichung, Taiwan
| | - Ying-Chieh Liao
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan.,Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan.,Department of Financial Engineering, Providence University, Taichung, Taiwan
| | - Che-Chen Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Jiunn-Cherng Lin
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan.,Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan.,Department of Financial Engineering, Providence University, Taichung, Taiwan.,Department of Internal Medicine, Taichung Veterans General Hospital Chiayi Branch, Chiayi, Taiwan
| | - Shih-Lin Chang
- Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan.,Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chu-Pin Lo
- Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan
| | - Kuo-Ching Huang
- Department of Financial Engineering, Providence University, Taichung, Taiwan
| | - Jin-Long Huang
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan
| | - Ching-Heng Lin
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Yu-Cheng Hsieh
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan.,Department of Data Science and Big Data Analytics, Providence University, Taichung, Taiwan.,Department of Financial Engineering, Providence University, Taichung, Taiwan
| | - Tsu-Juey Wu
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung, Taiwan.,Department of Internal Medicine, Faculty of Medicine, Institute of Clinical Medicine, Cardiovascular Research Center, National Yang-Ming University School of Medicine, Taipei, Taiwan
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