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Måneheim A, Economou Lundeberg J, Persson AP, Edegran A, Grotek-Cuprjak A, Juhlin T, Benezet-Mazuecos J, Ellenbogen KA, Engström G, Healey JS, Johnson LS. Diagnostic reliability of monitoring for premature atrial and ventricular complexes. Europace 2024; 26:euae198. [PMID: 39056247 PMCID: PMC11297493 DOI: 10.1093/europace/euae198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Accepted: 06/21/2024] [Indexed: 07/28/2024] Open
Abstract
AIMS Short-term ambulatory electrocardiogram (ECG) monitoring is often used to assess premature atrial complex (PAC) and premature ventricular complex (PVC) frequency, but the diagnostic reliability is unknown. The objective of this study was to study the day-to-day variability of PAC and PVC frequency. METHODS AND RESULTS We used 14-day full-disclosure mobile cardiac telemetry recordings without atrial fibrillation in 8245 US patients aged 17-103 years to calculate the diagnostic reliability of shorter ambulatory ECG recordings compared with 14-day averages. Over 14 days, 1853 patients had ≥500 PACs/day, 410 patients had ≥5000 PACs/day, and 197 patients had ≥10 000 PACs/day; 1640 patients had ≥500 PVCs/day, 354 patients had ≥5000 PVCs/day, and 175 patients had ≥10 000 PVCs/day. After 3 days, the estimated daily PAC frequency differed by ≥50% from the 14-day mean in 25% of patients; for PVCs, the corresponding duration was 7 days. Ten days of monitoring were needed to estimate PAC and PVC frequency within ±20% of the overall 14-day frequency in 80% of patients. For daily PAC and PVC frequencies ≥10 000, single-day estimation had a specificity of 99.3% [95% confidence interval (CI) 99.1-99.5] at a sensitivity of 76.6 (95% CI 70.1-80.4%) for PACs and a 99.6% (95% CI 99.4-99.7%) specificity at 79.4 (95% CI 72.7-85.2) sensitivity for PVCs. After 7 days, the sensitivity increased to 88.8% (95% CI 83.6-92.9) for PACs and 86.9% (95% CI 80.9-91.5%) for PVCs. CONCLUSION While there is substantial daily variability across most PAC and PVC levels, findings of ≥10 000 PACs or PVCs are highly specific and do not need to be confirmed with longer recordings.
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Affiliation(s)
- Alexandra Måneheim
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Clinical Sciences, Skåne University Hospital, Carl Bertil Laurells gata 9, 214 28 Malmö, Sweden
| | - Johan Economou Lundeberg
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Clinical Sciences, Skåne University Hospital, Carl Bertil Laurells gata 9, 214 28 Malmö, Sweden
| | - Anders P Persson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Clinical Sciences, Skåne University Hospital, Carl Bertil Laurells gata 9, 214 28 Malmö, Sweden
| | - Albin Edegran
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | | | - Tord Juhlin
- Department of Cardiology, Skåne University Hospital, Malmö, Sweden
| | | | - Kenneth A Ellenbogen
- Department of Internal Medicine, Cardiology Division/Pauley Heart Center, Virginia Commonwealth University, Richmond, VA, USA
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Jeff S Healey
- Population Health Research Institute (PHRI), Hamilton, ON, Canada
- Division of Cardiology, McMaster University, Hamilton, ON, Canada
| | - Linda S Johnson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Population Health Research Institute (PHRI), Hamilton, ON, Canada
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Peng H, Yuan J, Wang Z, Mo B, Wang Y, Wang Y, Wang Q. NR4A3 prevents diabetes induced atrial cardiomyopathy by maintaining mitochondrial energy metabolism and reducing oxidative stress. EBioMedicine 2024; 106:105268. [PMID: 39098108 DOI: 10.1016/j.ebiom.2024.105268] [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: 12/21/2023] [Revised: 07/18/2024] [Accepted: 07/23/2024] [Indexed: 08/06/2024] Open
Abstract
BACKGROUND Atrial cardiomyopathy (ACM) is responsible for atrial fibrillation (AF) and thromboembolic events. Diabetes mellitus (DM) is an important risk factor for ACM. However, the potential mechanism between ACM and DM remains elusive. METHODS Atrial tissue samples were obtained from patients diagnosed with AF or sinus rhythm (SR) to assess alterations in NR4A3 expression, and then two distinct animal models were generated by subjecting Nr4a3-/- mice and WT mice to a high-fat diet (HFD) and Streptozotocin (STZ), while db/db mice were administered AAV9-Nr4a3 or AAV9-ctrl. Subsequently, in vivo and in vitro experiments were conducted to assess the impact of NR4A3 on diabetes-induced atrial remodeling through electrophysiological, biological, and histological analyses. RNA sequencing (RNA-seq) and metabolomics analysis were employed to unravel the downstream mechanisms. FINDINGS The expression of NR4A3 was significantly decreased in atrial tissues of both AF patients and diabetic mice compared to their respective control groups. NR4A3 deficiency exacerbated atrial hypertrophy and atrial fibrosis, and increased susceptibility to pacing-induced AF. Conversely, overexpression of NR4A3 alleviated atrial structural remodeling and reduced AF induction rate. Mechanistically, we confirmed that NR4A3 improves mitochondrial energy metabolism and reduces oxidative stress injury by preserving the transcriptional expression of Sdha, thereby exerting a protective influence on atrial remodeling induced by diabetes. INTERPRETATION Our data confirm that NR4A3 plays a protective role in atrial remodeling caused by diabetes, so it may be a new target for treating ACM. FUNDING This study was supported by the major research program of National Natural Science Foundation of China (NSFC) No: 82370316 (to Q-S. W.), No. 81974041 (to Y-P. W.), and No. 82270447 (to Y-P. W.) and Fundation of Shanghai Hospital Development Center (No. SHDC2022CRD044 to Q-S. W.).
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Affiliation(s)
- Hong Peng
- Department of Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Jiali Yuan
- Department of Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Zhengshuai Wang
- Department of Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Binfeng Mo
- Department of Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China
| | - Yihui Wang
- The Department of Radiology, Shanghai General Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yuepeng Wang
- Department of Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
| | - Qunshan Wang
- Department of Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
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Grubb A, Aleong R, Rosenberg MA, Chang S, Padalia K, Ashur C, Adewumi J, Saqi B, Varela D, Sandhu A, Cerbin L, Barrett C, Tumolo AZ, Varosy P, Zipse MM, Tzou WS, Garg L, Sabzwari SRA. Development and validation of the Atri-Risk Conduction Index risk score to predict risk of atrial fibrillation after typical atrial flutter ablation. Heart Rhythm 2024:S1547-5271(24)02526-8. [PMID: 38762137 DOI: 10.1016/j.hrthm.2024.04.092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 04/24/2024] [Accepted: 04/26/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Identification of patients at risk for atrial fibrillation (AF) after typical atrial flutter (tAFL) ablation is important to guide monitoring and treatment. OBJECTIVE The purpose of this study was to create and validate a risk score to predict AF after tAFL ablation METHODS: We identified patients who underwent tAFL ablation with no AF history between 2017 and 2022 and randomly allocated to derivation and validation cohorts. We collected clinical variables and measured conduction parameters in sinus rhythm on an electrophysiology recording system (CardioLab, GE Healthcare). Univariate and multivariate logistic regressions (LogR) were used to evaluate association with AF development. RESULTS A total of 242 consecutive patients (81% male; mean age 66 ± 11 years) were divided into derivation (n =142) and validation (n = 100) cohorts. Forty-two percent developed AF over median follow-up of 330 days. In multivariate LogR (derivation cohort), proximal to distal coronary sinus time (pCS-dCS) ≥70 ms (odds ratio [OR] 16.7; 95% confidence interval [CI] 5.6-49), pCS time ≥36 ms (OR 4.5; 95% CI 1.5-13), and CHADS2-VASc score ≥3 (OR 4.3; 95% CI 1.6-11.8) were independently associated with new AF during follow-up. The Atri-Risk Conduction Index (ARCI) score was created with 0 as minimal and 4 as high-risk using pCS-dCS ≥70 ms = 2 points; pCS ≥36 ms = 1 point; and CHADS2-VASc score ≥3 = 1 point. In the validation cohort, 0% of patients with ARCI score = 0 developed AF, whereas 89% of patients with ARCI score = 4 developed AF. CONCLUSION We developed and validated a risk score using atrial conduction parameters and clinical risk factors to predict AF after tAFL ablation. It stratifies low-, moderate-, and high-risk patients and may be helpful in individualizing approaches to AF monitoring and anticoagulation.
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Affiliation(s)
- Alex Grubb
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Ryan Aleong
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Michael A Rosenberg
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Shu Chang
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Kishan Padalia
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Carmel Ashur
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Joseph Adewumi
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Bilal Saqi
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Daniel Varela
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Amneet Sandhu
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado; Cardiac Electrophysiology Section, Division of Cardiology, Rocky Mountain VA Medical Center, Aurora, Colorado
| | - Lukasz Cerbin
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Christopher Barrett
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado; Cardiac Electrophysiology Section, Division of Cardiology, Denver Health Medical Center, Denver, Colorado
| | - Alexis Z Tumolo
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Paul Varosy
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado; Cardiac Electrophysiology Section, Division of Cardiology, Rocky Mountain VA Medical Center, Aurora, Colorado
| | - Matthew M Zipse
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Wendy S Tzou
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Lohit Garg
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Syed Rafay A Sabzwari
- Cardiac Electrophysiology Section, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
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Baturova MA, Cornefjord G, Carlson J, Johnson LSB, Smith JG, Platonov PG. P-wave characteristics as electrocardiographic markers of atrial abnormality in prediction of incident atrial fibrillation - The Malmö Preventive Project. J Electrocardiol 2024; 82:125-130. [PMID: 38128157 DOI: 10.1016/j.jelectrocard.2023.12.003] [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: 08/17/2023] [Revised: 11/03/2023] [Accepted: 12/05/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND P-wave indices reflect atrial abnormalities contributing to atrial fibrillation (AF). We aimed to assess a comprehensive set of P-wave characteristics for prediction of incident AF in a population-based setting. METHODS Malmö Preventative Project (MPP) participants were reexamined in 2002-2006 with electrocardiographic (ECG) and echocardiographic examinations and followed for 5 years. AF-free subjects (n = 983, age 70 ± 5 years, 38% females) with sinus rhythm ECGs were included in the study. ECGs were digitally processed using the Glasgow algorithm. P-wave duration, axis, dispersion, P-terminal force in lead V1 and interatrial block (IAB) were evaluated. ECG risk score combining the morphology, voltage and length of P-wave (MVP score) was calculated. New-onset diagnoses of AF were obtained from nation-wide registers. RESULTS During follow up, 66 patients (7%) developed AF. After adjustment for age and gender, the independent predictors of AF were abnormal P-wave axis > 75° (HR 1.63 CI95% 1.95-11.03) and MVP score 4 (HR 6.17 CI 95% 1.76-21.64), both correlated with LA area: Person r - 0.146, p < 0.001 and 0.192, p < 0.001 respectively. Advanced IAB (aIAB) with biphasic P-wave morphology in leads III and aVF was the most prevalent variant of aIAB and predicted AF in a univariate model (HR 2.59 CI 95% 1.02-6.58). CONCLUSION P-wave frontal axis and MVP score are ECG-based AF predictors in the population-based cohort. Our study provides estimates for prevalence and prognostic importance of different variants of aIAB, providing a support to use biphasic P-wave morphology in lead aVF as the basis for aIAB definition.
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Affiliation(s)
- Maria A Baturova
- Department of Cardiology, Clinical Sciences, Lund University, Skåne University Hospital, SE-221 85 Lund, Sweden; Research Park, Saint Petersburg University, 7/9 Universitetskaya Emb., 199034 Saint Petersburg, Russia.
| | - Gustav Cornefjord
- Department of Cardiology, Clinical Sciences, Lund University, Skåne University Hospital, SE-221 85 Lund, Sweden
| | - Jonas Carlson
- Department of Cardiology, Clinical Sciences, Lund University, Skåne University Hospital, SE-221 85 Lund, Sweden.
| | - Linda S B Johnson
- Department of Clinical Sciences, Lund University, SE-202 13 Malmö, Sweden; Department of Imaging and Functional Studies, Skåne University Hospital, SE-205 02 Malmö, Sweden.
| | - J Gustav Smith
- Department of Cardiology, Clinical Sciences, Lund University, Skåne University Hospital, SE-221 85 Lund, Sweden; The Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University, Sweden; Wallenberg Center for Molecular Medicine and Lund University Diabetes Center, Lund University, SE-221 84 Lund, Sweden; Department of Cardiology, Sahlgrenska University Hospital, SE-413 45 Göteborg, Sweden.
| | - Pyotr G Platonov
- Department of Cardiology, Clinical Sciences, Lund University, Skåne University Hospital, SE-221 85 Lund, Sweden.
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