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Kreimer F, Aweimer A, El-Battrawy I, Labedi A, Schneider R, Haghikia A, Mügge A, Gotzmann M. Predictors of atrial fibrillation after embolic stroke of undetermined source in patients with implantable loop recorders. Neurol Sci 2024; 45:4903-4912. [PMID: 38664303 PMCID: PMC11422254 DOI: 10.1007/s10072-024-07548-y] [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: 01/05/2024] [Accepted: 04/20/2024] [Indexed: 09/25/2024]
Abstract
BACKGROUND In patients with embolic stroke of undetermined source (ESUS), underlying subclinical atrial fibrillation (AF) is often suspected. Previous studies identifying predictors of AF have been limited in their ability to diagnose episodes of AF. Implantable loop recorders enable prolonged, continuous, and therefore more reliable detection of AF. The aim of this study was to identify clinical and ECG parameters as predictors of AF in ESUS patients with implantable loop recorders. METHODS 101 ESUS patients who received an implantable loop recorder between 2012 and 2020 were included in this study. Patients were followed up regularly on a three-monthly outpatient interval. RESULTS During a mean follow-up of 647 ± 385 days, AF was detected in 26 patients (26%). Independent risk factors of AF were age ≥ 60 years (HR 2.753, CI 1.129-6.713, p = 0.026), P-wave amplitude in lead II ≤ 0.075 mV (HR 3.751, CI 1.606-8.761, p = 0.002), and P-wave duration ≥ 125 ms (HR 4.299, CI 1.844-10.021, p < 0.001). In patients without risk factors, the risk of developing AF was 16%. In the presence of one risk factor, the probability increased only slightly to 18%. With two or three risk factors, the risk of AF increased to 70%. CONCLUSION AF was detected in about one in four patients after ESUS in this study. A comprehensive evaluation involving multiple parameters and the existence of multiple risk factors yields the highest predictive accuracy for detecting AF in patients with ESUS.
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Affiliation(s)
- Fabienne Kreimer
- University Hospital St Josef Hospital, Cardiology and Rhythmology, Ruhr University, Gudrunstraße 56, 44791, Bochum, Germany.
| | - Assem Aweimer
- University Hospital Bergmannsheil, Cardiology and Angiology, Ruhr University, Bochum, Germany
| | - Ibrahim El-Battrawy
- University Hospital St Josef Hospital, Cardiology and Rhythmology, Ruhr University, Gudrunstraße 56, 44791, Bochum, Germany
- Department of Molecular and Experimental Cardiology Institut für Forschung und Lehre (IFL), Ruhr University Bochum, Bochum, Germany
| | - Adnan Labedi
- University Hospital St Josef Hospital, Neurology, Ruhr University, Bochum, Germany
| | - Ruth Schneider
- University Hospital St Josef Hospital, Neurology, Ruhr University, Bochum, Germany
| | - Arash Haghikia
- University Hospital St Josef Hospital, Cardiology and Rhythmology, Ruhr University, Gudrunstraße 56, 44791, Bochum, Germany
- Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Berlin, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
- Friede Springer Cardiovascular Prevention Center at Charité, Berlin, Germany
| | - Andreas Mügge
- University Hospital St Josef Hospital, Cardiology and Rhythmology, Ruhr University, Gudrunstraße 56, 44791, Bochum, Germany
- University Hospital Bergmannsheil, Cardiology and Angiology, Ruhr University, Bochum, Germany
| | - Michael Gotzmann
- University Hospital St Josef Hospital, Cardiology and Rhythmology, Ruhr University, Gudrunstraße 56, 44791, Bochum, Germany
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Cheng X, Wang X. Electrocardiogram prediction of atrial fibrillation risk after stroke: A protocol for systematic review and meta-analysis. Medicine (Baltimore) 2024; 103:e37582. [PMID: 38608063 PMCID: PMC11018186 DOI: 10.1097/md.0000000000037582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 02/21/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Atrial fibrillation (AF) is one of the most common clinical arrhythmias. This study aims to predict the risk of post-stroke AF through electrocardiographic changes in sinus rhythm. METHODS We searched the MEDLINE (PubMed) and EMBASE databases to identify relevant research articles published until August 2023. Prioritized items from systematic reviews and meta-analyses were screened, and data related to AF detection rate were extracted. A meta-analysis using a random-effects model was conducted for data synthesis and analysis. RESULTS A total of 32 studies involving electrocardiograms (ECG) were included, with a total analysis population of 330,284 individuals. Among them, 16,662 individuals (ECG abnormal group) developed AF, while 313,622 individuals (ECG normal group) did not. ECG patterns included terminal P-wave terminal force V1, interatrial block (IAB), advanced interatrial block, abnormal P-wave axis, pulse rate prolongation, and atrial premature complexes. Overall, 15,762 patients experienced AF during the study period (4.77%). In the ECG abnormal group, the proportion was 14.21% (2367/16,662), while in the control group (ECG normal group), the proportion was 4.27% (13,395/313,622). The pooled risk ratio for developing AF was 2.45 (95% confidence interval [CI]: 2.02-2.98, P < .001), with heterogeneity (I2) of 95%. The risk ratio values of alAB, P-wave terminal force V1, interatrial block, abnormal P-wave axis, pulse rate prolongation and atrial premature complexes were 4.12 (95% CI, 2.99-5.66), 1.47 (95% CI, 1.19-1.82), 2.54 (95% CI, 1.83-3.52), 1.70 (95% CI, 0.98-2.97), 2.65 (95% CI, 1.88-3.72), 3.79 (95% CI, 2.12-6.76), respectively. CONCLUSION There is a significant correlation between ECG patterns and the occurrence of AF. The alAB exhibited the highest level of predictability for the occurrence of AF. These indicators support their use as screening tools to identify high-risk individuals who may benefit from further examinations or empirical anticoagulation therapy following stroke.
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Affiliation(s)
- Xiaoli Cheng
- Medical Imaging Department II, Shaanxi Kangfu Hospital, Xi’an, Shaanxi Province, China
| | - Xiaoli Wang
- Medical Imaging Department II, Shaanxi Kangfu Hospital, Xi’an, Shaanxi Province, China
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Shimada Y, Todo K, Doijiri R, Yamazaki H, Sonoda K, Koge J, Iwata T, Ueno Y, Yamagami H, Kimura N, Morimoto M, Kondo D, Koga M, Nagata E, Miyamoto N, Kimura Y, Gon Y, Okazaki S, Sasaki T, Mochizuki H. Higher Frequency of Premature Atrial Contractions Correlates With Atrial Fibrillation Detection after Cryptogenic Stroke. Stroke 2024; 55:946-953. [PMID: 38436115 DOI: 10.1161/strokeaha.123.044813] [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: 09/11/2023] [Accepted: 01/29/2024] [Indexed: 03/05/2024]
Abstract
BACKGROUND Covert atrial fibrillation (AF) is a major cause of cryptogenic stroke. This study investigated whether a dose-dependent relationship exists between the frequency of premature atrial contractions (PACs) and AF detection in patients with cryptogenic stroke using an insertable cardiac monitor (ICM). METHODS We enrolled consecutive patients with cryptogenic stroke who underwent ICM implantation between October 2016 and September 2020 at 8 stroke centers in Japan. Patients were divided into 3 groups according to the PAC count on 24-hour Holter ECG: ≤200 (group L), >200 to ≤500 (group M), and >500 (group H). We defined a high AF burden as above the median of the cumulative duration of AF episodes during the entire monitoring period. We evaluated the association of the frequency of PACs with AF detection using log-rank trend test and Cox proportional hazard model and with high AF burden using logistic regression model, adjusting for age, sex, CHADS2 score. RESULTS Of 417 patients, we analyzed 381 patients with Holter ECG and ICM data. The median age was 70 (interquartile range, 59.5-76.5), 246 patients (65%) were males, and the median duration of ICM recording was 605 days (interquartile range, 397-827 days). The rate of new AF detected by ICM was higher in groups with more frequent PAC (15.5%/y in group L [n=277] versus 44.0%/y in group M [n=42] versus 71.4%/y in group H [n=62]; log-rank trend P<0.01). Compared with group L, the adjusted hazard ratios for AF detection in groups M and H were 2.11 (95% CI, 1.24-3.58) and 3.23 (95% CI, 2.07-5.04), respectively, and the adjusted odds ratio for high AF burden in groups M and H were 2.57 (95% CI, 1.14-5.74) and 4.25 (2.14-8.47), respectively. CONCLUSIONS The frequency of PACs was dose-dependently associated with AF detection in patients with cryptogenic stroke.
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Affiliation(s)
- Yuki Shimada
- Department of Neurology, Osaka University Graduate School of Medicine, Japan (Y.S., K.T., Y.G., S.O., T.S., H.M.)
| | - Kenichi Todo
- Department of Neurology, Osaka University Graduate School of Medicine, Japan (Y.S., K.T., Y.G., S.O., T.S., H.M.)
| | - Ryosuke Doijiri
- Department of Neurology (R.D.), Iwate Prefectural Central Hospital, Japan
| | - Hidekazu Yamazaki
- Department of Neurology (H.Y.), Yokohama Shintoshi Neurosurgical Hospital, Kanagawa, Japan
| | - Kazutaka Sonoda
- Department of Neurology, Saiseikai Fukuoka General Hospital, Japan (K.S., D.K.)
| | - Junpei Koge
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan (J.K., M.K.)
| | - Tomonori Iwata
- Department of Neurology, Tokai University School of Medicine, Kanagawa, Japan (T.I., E.N.)
| | - Yuji Ueno
- Department of Neurology Juntendo University Faculty of Medicine, Tokyo, Japan (Y.U., N.M.)
| | - Hiroshi Yamagami
- Department of Stroke Neurology, National Hospital Organization Osaka National Hospital, Japan (H.Y., Y.K.)
| | - Naoto Kimura
- Department of Neurosurgery (N.K.), Iwate Prefectural Central Hospital, Japan
| | - Masafumi Morimoto
- Department of Neurosurgery (M.M.), Yokohama Shintoshi Neurosurgical Hospital, Kanagawa, Japan
| | - Daisuke Kondo
- Department of Neurology, Saiseikai Fukuoka General Hospital, Japan (K.S., D.K.)
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan (J.K., M.K.)
| | - Eiichiro Nagata
- Department of Neurology, Tokai University School of Medicine, Kanagawa, Japan (T.I., E.N.)
| | - Nobukazu Miyamoto
- Department of Neurology Juntendo University Faculty of Medicine, Tokyo, Japan (Y.U., N.M.)
| | - Yoko Kimura
- Department of Stroke Neurology, National Hospital Organization Osaka National Hospital, Japan (H.Y., Y.K.)
| | - Yasufumi Gon
- Department of Neurology, Osaka University Graduate School of Medicine, Japan (Y.S., K.T., Y.G., S.O., T.S., H.M.)
| | - Shuhei Okazaki
- Department of Neurology, Osaka University Graduate School of Medicine, Japan (Y.S., K.T., Y.G., S.O., T.S., H.M.)
| | - Tsutomu Sasaki
- Department of Neurology, Osaka University Graduate School of Medicine, Japan (Y.S., K.T., Y.G., S.O., T.S., H.M.)
| | - Hideki Mochizuki
- Department of Neurology, Osaka University Graduate School of Medicine, Japan (Y.S., K.T., Y.G., S.O., T.S., H.M.)
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4
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Berry-Noronha A, Bonavia L, Song E, Grose D, Johnson D, Maylin E, Oqueli E, Sahathevan R. ECG predictors of AF: A systematic review (predicting AF in ischaemic stroke-PrAFIS). Clin Neurol Neurosurg 2024; 237:108164. [PMID: 38377651 DOI: 10.1016/j.clineuro.2024.108164] [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: 08/24/2023] [Revised: 09/13/2023] [Accepted: 02/05/2024] [Indexed: 02/22/2024]
Abstract
In 25% of patients presenting with embolic stroke, a cause is not determined. Atrial fibrillation (AF) is a commonly identified mechanism of stroke in this population, particularly in older patients. Conventional investigations are used to detect AF, but can we predict AF in this population and generally? We performed a systematic review to identify potential predictors of AF on 12-lead electrocardiogram (ECG). METHOD We conducted a search of EMBASE and Medline databases for prospective and retrospective cohorts, meta-analyses or case-control studies of ECG abnormalities in sinus rhythm predicting subsequent atrial fibrillation. We assessed quality of studies based on the Newcastle-Ottawa scale and data were extracted according to PRISMA guidelines. RESULTS We identified 44 studies based on our criteria. ECG patterns that predicted the risk of developing AF included interatrial block, P-wave terminal force lead V1, P-wave dispersion, abnormal P-wave-axis, abnormal P-wave amplitude, prolonged PR interval, left ventricular hypertrophy, QT prolongation, ST-T segment abnormalities and atrial premature beats. Furthermore, we identified that factors such as increased age, high CHADS-VASC, chronic renal disease further increase the positive-predictive value of some of these parameters. Several of these have been successfully incorporated into clinical scoring systems to predict AF. CONCLUSION There are several ECG abnormalities that can predict AF both independently, and with improved predictive value when combined with clinical risk factors, and if incorporated into clinical risk scores. Improved and validated predictive models could streamline selection of patients for cardiac monitoring and initiation of oral anticoagulants.
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Affiliation(s)
| | - Luke Bonavia
- Department of Neurology, Royal Hobart Hospital, Australia
| | - Edmund Song
- Department of Medicine, Grampians Health Ballarat, Australia
| | - Daniel Grose
- Department of Medicine, Grampians Health Ballarat, Australia
| | - Damian Johnson
- Department of Medicine, Werribee Mercy Hospital, Australia
| | - Erin Maylin
- Department of Medicine, Monash Health (Clayton), Australia
| | - Ernesto Oqueli
- Department of Medicine, Grampians Health Ballarat, Australia; School of Medicine, Deakin University, Australia
| | - Ramesh Sahathevan
- Department of Medicine, Grampians Health Ballarat, Australia; School of Medicine, Deakin University, Australia
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5
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Del Pilar Falcón R, Centurión OA, Meza AJ, Scavenius KE, Chávez CO, Montiel CR, García LB, Cáceres C, Martínez JE, Galeano EJ. Role of the Electrocardiographic MVP Risk Score (Morphology-Voltage-P Wave Duration) in Predicting the Development of Atrial Fibrillation in Patients With Systemic Arterial Hypertension. Crit Pathw Cardiol 2023; 22:141-145. [PMID: 37535848 DOI: 10.1097/hpc.0000000000000328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/05/2023]
Abstract
BACKGROUND There is a global tendency to emphasize the prevention and early diagnosis of diseases that have a great impact on public health. Atrial fibrillation (AF) has a prevalence affecting 1.5-2% of the general population. Certain variables of the P wave allow us to identify and stratify patients at risk of developing AF. MATERIALS AND METHODS This is an observational, descriptive, and longitudinal study to determine the applicability of the electrocardiographic (ECG) morphology, voltage, and P wave duration (MVP) risk score to predict the development of AF in consecutive patients with systemic hypertension (SH) in an initial follow-up of 12 months. RESULTS Initially, 104 patients were included, of whom 12 died during follow-up and 17 did not attend subsequent checkups during the COVID-19 pandemic; therefore, they were excluded. The study patients were 75, of whom AF was detected in 25 patients (33%). The average duration of the P wave was 120 ± 26 ms, the average voltage was 0.1 ± 0.5 Mv. The high-risk MVP ECG score had an [area under the curve, 0.69; 95% confidence intervals (CI), 0.59-0.79] and demonstrated a specificity and a positive predictive value of 100%, a negative predictive value of 76%, and a sensitivity of 40% for predicting the development of AF. CONCLUSIONS The present study establishes for the first time that SH patients who possess a high-risk MVP ECG score have a significantly higher incidence of developing AF. The high-risk MVP Score has a specificity and a positive predictive value of 100% and a high negative predictive value with a moderate sensitivity for the prediction of the development of AF in SH patients.
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Affiliation(s)
- Rocío Del Pilar Falcón
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
- Department of Health Sciences Investigation, Sanatorio Metropolitano, Fernando de la Mora, Paraguay
| | - Osmar Antonio Centurión
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
- Department of Health Sciences Investigation, Sanatorio Metropolitano, Fernando de la Mora, Paraguay
| | - Alfredo J Meza
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
- Department of Health Sciences Investigation, Sanatorio Metropolitano, Fernando de la Mora, Paraguay
| | - Karina E Scavenius
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
- Department of Health Sciences Investigation, Sanatorio Metropolitano, Fernando de la Mora, Paraguay
| | - Christian O Chávez
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
- Department of Health Sciences Investigation, Sanatorio Metropolitano, Fernando de la Mora, Paraguay
| | - Carmen R Montiel
- First Department of Internal Medicine, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
| | - Laura B García
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
- Department of Health Sciences Investigation, Sanatorio Metropolitano, Fernando de la Mora, Paraguay
| | - Cristina Cáceres
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
| | - Jorge E Martínez
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
| | - Erdulfo J Galeano
- From the Department of Cardiology, Hospital de Clínicas, Asunción National University (UNA), San Lorenzo, Paraguay
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6
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Prentice DA. Comment on: 'Acute vestibular neuritis may provoke atrial fibrillation'. Intern Med J 2023; 53:2145. [PMID: 37997272 DOI: 10.1111/imj.16263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 09/12/2023] [Indexed: 11/25/2023]
Affiliation(s)
- David A Prentice
- Perron Institute for Neurological and Translational Science, Perth, Western Australia, Australia
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7
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Berry-Noronha A, Bonavia L, Wilson D, Eranti A, Rasmussen MU, Sajadieh A, Kreimer F, Gotzmann M, Sahathevan R. Predicting risk of AF in ischaemic stroke using sinus rhythm ECG abnormalities: A meta-analysis. Eur Stroke J 2023; 8:712-721. [PMID: 37641552 PMCID: PMC10472966 DOI: 10.1177/23969873231172559] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 04/12/2023] [Indexed: 08/31/2023] Open
Abstract
OBJECTIVE To identify ECG changes in sinus rhythm that may be used to predict subsequent development of new AF. METHOD We identified prospective and retrospective cohort or case control studies evaluating ECG patterns from a 12-lead ECG in sinus rhythm taken in hospital or community predicting subsequent development of new AF. For each identified ECG predictor, we then identify absolute event rates and pooled risk ratios (RR) using an aggregate level random effects meta-analysis. RESULTS We identified 609,496 patients from 22 studies. ECG patterns included P wave terminal force V1 (PTFV1), interatrial block (IAB) and advanced interatrial block (aIAB), abnormal P wave axis (aPWA), PR prolongation and atrial premature complexes (APCs). Pooled risk ratios reached significance for each of these; PTFV1 RR 1.48 (95% CI 1.04-2.10), IAB 2.54 (95% CI 1.64-3.93), aIAB 4.05 (95% CI 2.64-6.22), aPWA 1.89 (95% CI 1.25-2.85), PR prolongation 2.22 (95% CI 1.27-3.87) and APCs 3.71 (95% CI 2.23-6.16). Diabetes reduced the predictive value of PR prolongation. CONCLUSION APC and aIAB were most predictive of AF, while IAB, PR prolongation, PTFV1 and aPWA were also significantly associated with development of AF. These support their use in a screening tool to identify at risk cohorts who may benefit from further investigation, or following stroke, with empirical anticoagulation.
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Affiliation(s)
| | | | - Duncan Wilson
- New Zealand Brain Research Institute, Christchurch, New Zealand
| | - Antti Eranti
- Heart Center, Central Hospital of North Karelia, Joensuu, Finland
| | - Maria Uggen Rasmussen
- Department of Cardiology, Copenhagen University Hospital of Bispebjerg, Copenhagen, Denmark
| | - Ahmad Sajadieh
- Department of Cardiology, Copenhagen University Hospital of Bispebjerg, Copenhagen, Denmark
| | - Fabienne Kreimer
- Cardiology and Rhythmology, University Hospital St Josef Hospital, Ruhr University, Bochum, Germany
| | - Michael Gotzmann
- Cardiology and Rhythmology, University Hospital St Josef Hospital, Ruhr University, Bochum, Germany
| | - Ramesh Sahathevan
- Ballarat Base Hospital, Ballarat, VIC, Australia
- Department of Medicine, Deakin University, Geelong, VIC, Australia
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8
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Zagoridis K, Koutalas E, Intzes S, Symeonidou M, Zagoridou N, Karagogos K, Spanoudakis E, Kanoupakis E, Kochiadakis G, Dinov B, Dagres N, Hindricks G, Bollmann A, Nedios S. P-wave duration and interatrial block as predictors of new-onset atrial fibrillation: A systematic review and meta-analysis. Hellenic J Cardiol 2023; 72:57-64. [PMID: 37028490 DOI: 10.1016/j.hjc.2023.03.007] [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: 12/12/2022] [Revised: 03/09/2023] [Accepted: 03/28/2023] [Indexed: 04/09/2023] Open
Abstract
BACKGROUND Early detection of atrial fibrillation (AF) could improve patient outcomes. P-wave duration (PWD) and interatrial block (IAB) are known predictors of new-onset AF and could improve selection for AF screening. This meta-analysis reviews the published evidence and offers practical implications. METHODS Publication databases were systematically searched, and studies reporting PWD and/or morphology at baseline and new-onset AF during follow-up were included. IAB was defined as partial (pIAB) if PWD≥120 ms or advanced (aIAB) if the P-wave was biphasic in the inferior leads. After quality assessment and data extraction, random-effects analysis calculated odds ratio (OR) and confidence intervals (CI). Subgroup analysis was performed for those with implantable devices (continuous monitoring). RESULTS Among 16,830 patients (13 studies, mean 66 years old), 2,521 (15%) had new-onset AF over a median of 44 months. New-onset AF was associated with a longer PWD (mean pooled difference: 11.5 ms, 13 studies, p < 0.001). The OR for new-onset AF was 2.05 (95% CI: 1.3-3.2) for pIAB (5 studies, p = 0.002) and 3.9 (95% CI: 2.6-5.8) for aIAB (7 studies, p < 0.001). Patients with pIAB and devices had higher AF-detection risk (OR: 2.33, p < 0.001) than those without devices (OR: 1.36, p = 0.56). Patients with aIAB had similarly high risk regardless of device presence. There was significant heterogeneity but no publication bias. CONCLUSION Interatrial block is an independent predictor of new-onset AF. The association is stronger for patients with implantable devices (close monitoring). Thus, PWD and IAB could be used as selection criteria for intensive screening, follow-up or interventions.
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Affiliation(s)
| | - Emmanuel Koutalas
- Cardiology Department, Heraklion University Hospital, Crete, Greece.
| | - Stergios Intzes
- Democritus University of Thrace, Medical School, Alexandroupoli, Greece
| | | | | | | | | | | | | | - Borislav Dinov
- Electrophysiology Department, Heart Center, University of Leipzig, Germany
| | - Nikolaos Dagres
- Electrophysiology Department, Heart Center, University of Leipzig, Germany
| | - Gerhard Hindricks
- Electrophysiology Department, Heart Center, University of Leipzig, Germany
| | - Andreas Bollmann
- Electrophysiology Department, Heart Center, University of Leipzig, Germany
| | - Sotirios Nedios
- Electrophysiology Department, Heart Center, University of Leipzig, Germany
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9
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Ikenouchi H, Koge J, Tanaka T, Yamaguchi E, Egashira S, Doijiri R, Yamazaki H, Sonoda K, Iwata T, Todo K, Ueno Y, Yamagami H, Ihara M, Toyoda K, Koga M. P-wave terminal force in lead V 1 and atrial fibrillation burden in cryptogenic stroke with implantable loop recorders. J Thromb Thrombolysis 2023:10.1007/s11239-023-02816-8. [PMID: 37130975 DOI: 10.1007/s11239-023-02816-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/11/2023] [Indexed: 05/04/2023]
Abstract
Implantable loop recorders (ILRs) are useful for the detection of atrial fibrillation (AF) in patients with cryptogenic stroke (CS). P-wave terminal force in lead V1 (PTFV1) is associated with AF detection; however, data on the association between PTFV1 and AF detection using ILRs in patients with CS are limited. Consecutive patients with CS with implanted ILRs from September 2016 to September 2020 at eight hospitals in Japan were studied. PTFV1 was calculated by 12-lead ECG before ILRs implantation. An abnormal PTFV1 was defined as ≥ 4.0 mV × ms. The AF burden was calculated as a proportion based on the duration of AF to the total monitoring period. The outcomes included AF detection and large AF burden, which was defined as ≥ 0.5% of the overall AF burden. Of 321 patients (median age, 71 years; male, 62%), AF was detected in 106 patients (33%) during the median follow-up period of 636 days (interquartile range [IQR], 436-860 days). The median time from ILRs implantation to AF detection was 73 days (IQR, 14-299 days). An abnormal PTFV1 was independently associated with AF detection (adjusted hazard ratio, 1.71; 95% confidence interval [CI], 1.00-2.90). An abnormal PTFV1 was also independently associated with a large AF burden (adjusted odds ratio, 4.70; 95% CI, 2.50-8.80). In patients with CS with implanted ILRs, an abnormal PTFV1 is associated with both AF detection and a large AF burden.Clinical Trial Registration Information: UMIN Clinical Trials Registry 000044366.
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Affiliation(s)
- Hajime Ikenouchi
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Junpei Koge
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan.
| | - Tomotaka Tanaka
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Eriko Yamaguchi
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Shuhei Egashira
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Ryosuke Doijiri
- Department of Neurology, Iwate Prefectural Central Hospital, Iwate, Japan
| | - Hidekazu Yamazaki
- Department of Neurology and Neuroendovascular Treatment, Yokohama Shintoshi Neurosurgical Hospital, Yokohama, Japan
| | - Kazutaka Sonoda
- Department of Neurology, Saiseikai Fukuoka General Hospital, Fukuoka, Japan
| | - Tomonori Iwata
- Department of Neurology, Tokai University, Kanagawa, Japan
| | - Kenichi Todo
- Department of Neurology, Osaka University, Osaka, Japan
| | - Yuji Ueno
- Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan
| | - Hiroshi Yamagami
- Department of Stroke Neurology, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Masafumi Ihara
- Department of Neurology, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Kazunori Toyoda
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
| | - Masatoshi Koga
- Department of Cerebrovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan
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10
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Chousou PA, Chattopadhyay R, Tsampasian V, Vassiliou VS, Pugh PJ. Electrocardiographic Predictors of Atrial Fibrillation. Med Sci (Basel) 2023; 11:medsci11020030. [PMID: 37092499 PMCID: PMC10123668 DOI: 10.3390/medsci11020030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 03/31/2023] [Accepted: 04/04/2023] [Indexed: 04/25/2023] Open
Abstract
BACKGROUND Atrial fibrillation (AF) is the most common pathological arrhythmia, and its complications lead to significant morbidity and mortality. However, patients with AF can often go undetected, especially if they are asymptomatic or have a low burden of paroxysms. Identification of those at high risk of AF development may help refine screening and management strategies. METHODS PubMed and Embase databases were systematically searched for studies looking at electrocardiographic predictors of AF from inception to August 2021. RESULTS A total of 115 studies were reported which examined a combination of atrial and ventricular parameters that could be electrocardiographic predictors of AF. Atrial predictors include conduction parameters, such as the PR interval, p-wave index and dispersion, and partial interatrial or advanced interatrial block, or morphological parameters, such as p-wave axis, amplitude and terminal force. Ventricular predictors include abnormalities in QRS amplitude, morphology or duration, QT interval duration, r-wave progression and ST segment, i.e., t-wave abnormalities. CONCLUSIONS There has been significant interest in electrocardiographic prediction of AF, especially in populations at high risk of atrial AF, such as those with an embolic stroke of undetermined source. This review highlights the breadth of possible predictive parameters, and possible pathological bases for the predictive role of each parameter are proposed.
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Affiliation(s)
- Panagiota Anna Chousou
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK
- Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Rahul Chattopadhyay
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK
- Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
| | - Vasiliki Tsampasian
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK
- Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich NR4 7UY, UK
| | - Vassilios S Vassiliou
- Norwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK
- Norfolk and Norwich University Hospital NHS Foundation Trust, Norwich NR4 7UY, UK
| | - Peter John Pugh
- Addenbrookes Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, UK
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11
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Wu Y, Lv W, Li J, Yang X, Meng X, Li Z, Pan Y, Jiang Y, Yan H, Huang X, Liu L, Zhao X, Wang Y, Li H, Wang Y. High-Sensitivity C-Reactive Protein Modifies P-Wave Terminal Force in Lead V1-Associated Prognosis in Acute Ischemic Stroke or TIA Patients. J Clin Med 2023; 12:jcm12052031. [PMID: 36902819 PMCID: PMC10003915 DOI: 10.3390/jcm12052031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 02/26/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
Little is known about the role of high-sensitivity C-reactive protein (hsCRP) in the relationship between P-wave terminal force in lead V1 (PTFV1) and stroke prognosis. We aimed to investigate how hsCRP influences the effect of PTFV1 on ischemic stroke recurrence and mortality. In this study, patients enrolled in the Third China National Stroke Registry, which enrolled consecutive patients who had suffered an ischemic stroke or transient ischemic attack in China, were analyzed. After excluding patients with atrial fibrillation, 8271 patients with PTFV1 and hsCRP measurements were included in this analysis. Cox regression analyses were used to assess the association between PTFV1 and stroke prognosis according to different inflammation statuses stratified by an hsCRP level of 3 mg/L. A total of 216 (2.6%) patients died, and 715 (8.6%) patients experienced ischemic stroke recurrence within 1 year. In patients with hsCRP levels ≥ 3 mg/L, elevated PTFV1 was significantly associated with mortality (HR, 1.75; 95% CI, 1.05-2.92; p = 0.03), while in those with hsCRP levels < 3 mg/L, such an association did not exist. In contrast, in patients with hsCRP levels < 3 mg/L and those with hsCRP levels ≥ 3 mg/L, elevated PTFV1 remained significantly associated with ischemic stroke recurrence. The predictive role of PTFV1 towards mortality but not ischemic stroke recurrence differed in terms of hsCRP levels.
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Affiliation(s)
- Yueyang Wu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Wei Lv
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Jiejie Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Xiaomeng Yang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Yuesong Pan
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Yong Jiang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Hongyi Yan
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Xinying Huang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Xingquan Zhao
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Yilong Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Hao Li
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100070, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing 100070, China
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
- Correspondence:
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12
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Del Monte A, Rivezzi F, Giacomin E, Peruzza F, Del Greco M, Maines M, Migliore F, Zorzi A, Viaro F, Pieroni A, La Licata A, Baracchini C, Bertaglia E. Multiparametric identification of subclinical atrial fibrillation after an embolic stroke of undetermined source. Neurol Sci 2023; 44:979-988. [PMID: 36383264 DOI: 10.1007/s10072-022-06501-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 11/04/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Subclinical atrial fibrillation (SCAF) may represent a cause of embolic stroke of undetermined source (ESUS) and its detection has important implications for secondary prevention with anticoagulation. Indications to implantable cardiac monitors (ICM) include SCAF detection. The aims of this study were to (1) evaluate the frequency of ICM-detected SCAF; (2) determine predictors of SCAF; and (3) identify patients who would benefit most from ICM implantation. METHODS Between February 2017 and November 2020, all consecutive patients referred for ICM implantation after a diagnosis of ESUS and without previous history of atrial fibrillation or atrial flutter were included in this study. SCAF was diagnosed if the ICM electrogram demonstrated an episode of irregularly irregular rhythm without distinct P waves lasting > 2 min. RESULTS We enrolled 109 patients (age 66, SD = 13 years; 36% females). During a median follow-up of 19.2 (IQR 11.0-27.5) months, SCAF episodes were detected in 36 (33%) patients. Only abnormal P wave terminal force in lead V1, left atrial end-systolic indexed volume > 34 ml/m2, and BMI > 25 kg/m2 were independently associated with an increased risk of SCAF (HR 2.44, 95% CI 1.14-5.21, p = 0.021; HR 2.39, 95% CI 1.11-5.13, p = 0.026; and HR 2.64, 95% CI 1.06-6.49, p = 0.036 respectively). The ROC curve showed that the presence of all three parameters had the best accuracy (74%) to predict SCAF detection (sensitivity 39%, specificity 91%). CONCLUSION A multiparametric evaluation has the best accuracy to predict SCAF in ESUS patients and may help identifying those who would benefit most from ICM.
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Affiliation(s)
- Alvise Del Monte
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Francesco Rivezzi
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Enrico Giacomin
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Francesco Peruzza
- Department of Cardiology, Santa Maria del Carmine Hospital, Rovereto, Italy
| | - Maurizio Del Greco
- Department of Cardiology, Santa Maria del Carmine Hospital, Rovereto, Italy
| | | | - Federico Migliore
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Alessandro Zorzi
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy
| | - Federica Viaro
- Stroke Unit and Neurosonology Laboratory, Padua University Hospital, Padua, Italy
| | - Alessio Pieroni
- Stroke Unit and Neurosonology Laboratory, Padua University Hospital, Padua, Italy
| | - Andrea La Licata
- Department of Neurology, Santa Maria del Carmine Hospital, Rovereto, Italy
| | - Claudio Baracchini
- Stroke Unit and Neurosonology Laboratory, Padua University Hospital, Padua, Italy
| | - Emanuele Bertaglia
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padua, Via Forcellini, 209/d, Padua, Italy.
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13
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Kreimer F, Backhaus JF, Krogias C, Pflaumbaum A, Mügge A, Gotzmann M. P-wave parameters and their association with thrombi and spontaneous echo contrast in the left atrial appendage. Clin Cardiol 2023; 46:397-406. [PMID: 36808747 PMCID: PMC10106666 DOI: 10.1002/clc.23980] [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: 07/06/2022] [Revised: 01/07/2023] [Accepted: 01/12/2023] [Indexed: 02/20/2023] Open
Abstract
BACKGROUND The aim of this study was to examine the prevalence of abnormal P-wave parameters in patients with thrombus and/or spontaneous echo contrast (SEC) in the left atrial appendage (LAA), and to identify P-wave parameters particularly associated with thrombus and SEC formation. HYPOTHESIS We presume a significant relationship of P-wave parameters with thrombi and SEC. METHODS All patients in whom a thrombus or SEC was detected in the LAA on transoesophageal echocardiography were included in this study. Patients at risk (CHA2DS2-VASc Score ≥3) and routine transoesophageal echocardiography to exclude thrombi served as the control group. A detailed ECG analysis was performed. RESULTS Of a total of 4062 transoesophageal echocardiographies, thrombi and SEC were detected in 302 patients (7.4%). Of these patients, 27 (8.9%) presented with sinus rhythm. The control group included 79 patients. There was no difference in mean CHA2DS2-VASc score in the two groups (p = .182). A high prevalence of abnormal P-wave parameters was detected in patients with thrombus/SEC. Indicators for the presence of thrombi or SEC in the LAA were P-wave duration >118 ms (Odds ratio (OR) 3.418, Confidence interval (CI) 1.522-7.674, p < .001), P-wave dispersion >40 ms (OR 2.521, CI 1.390-4.571, p < .001) and advanced interatrial block (OR 1.431, CI 1.033-1.984, p = .005). CONCLUSION Our study revealed that several P-wave parameters are associated with thrombi and SEC in the LAA. The results may help identify patients who are at particularly high risk for thromboembolic events (e.g., in patients with embolic stroke of undetermined source).
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Affiliation(s)
- Fabienne Kreimer
- Cardiology and Rhythmology, St Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Julian Felix Backhaus
- Cardiology and Rhythmology, St Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Christos Krogias
- Neurology, St Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Andreas Pflaumbaum
- Cardiology and Rhythmology, St Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Andreas Mügge
- Cardiology and Rhythmology, St Josef-Hospital, Ruhr University Bochum, Bochum, Germany
| | - Michael Gotzmann
- Cardiology and Rhythmology, St Josef-Hospital, Ruhr University Bochum, Bochum, Germany
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14
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Chattopadhyay RK, Chousou PA, Mukherjee T, Pugh PJ, Vassiliou VS. The predictive value of abnormal P-wave axis for the detection of incident atrial fibrillation: A systematic review with meta-analysis. PLoS One 2022; 17:e0278527. [PMID: 36454918 PMCID: PMC9714955 DOI: 10.1371/journal.pone.0278527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 11/17/2022] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION There is growing interest in the prediction of incident atrial fibrillation (AF). The 12-lead electrocardiogram (ECG) has been a particularly rich target for possible prediction strategies. PURPOSE The P-wave axis is an ECG parameter that reflects the dominant vector of atrial depolarisation and is usually 0° -75°. There is a large body of literature suggesting that AF reflects structural and conduction abnormalities of the atria, and thus the P-wave axis may represent a sensitive parameter to detect such changes. METHODS A systematic review and meta-analysis of published literature associating abnormal P-wave axis and the development of incident AF was performed. Electronic databases were systematically searched from inception to October 2021. A random-effects model with generic inverse variance weights was utilised to pool the most adjusted effect measure from each paper. A funnel plot was used to assess publication bias. RESULTS After excluding duplicate studies, 568 studies were screened. A total of eleven studies were identified that associated an abnormal P-wave axis with the subsequent detection of AF. The eight studies that considered abnormal P-wave axis as being <0° or >75° were pooled for meta-analysis. In the pooled studies a total of 78,222 patients were included with 5656 cases of incident atrial fibrillation identified. The meta-analysis of the studies suggested that an abnormal P-wave axis was associated with a pooled risk ratio of 2.12 (95% CI 1.49 to 3.01) for the detection of incident atrial fibrillation. CONCLUSION This comprehensive systematic review and meta-analysis, indicates the positive association of abnormal P wave axis and future detection of AF. Utilisation of abnormal P-wave axis, alongside other parameters, may allow clinicians to better risk-stratify individuals at increased risk of AF, and thus identify those who may benefit most from prolonged cardiac monitoring or targeted anticoagulation.
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Affiliation(s)
- Rahul Kumar Chattopadhyay
- Norwich Medical School University of East Anglia, Norwich, United Kingdom
- Addenbrookes Hospital Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Panagiota Anna Chousou
- Norwich Medical School University of East Anglia, Norwich, United Kingdom
- Addenbrookes Hospital Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Trisha Mukherjee
- Addenbrookes Hospital Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Peter John Pugh
- Norwich Medical School University of East Anglia, Norwich, United Kingdom
- Addenbrookes Hospital Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Vassilios S. Vassiliou
- Norwich Medical School University of East Anglia, Norwich, United Kingdom
- Addenbrookes Hospital Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Norfolk and Norwich University Hospitals NHS Foundation Trust, Norwich, United Kingdom
- Institute of Continuing Education, University of Cambridge, Cambridge, United Kingdom
- * E-mail:
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15
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Kreimer F, Gotzmann M. Left Atrial Cardiomyopathy - A Challenging Diagnosis. Front Cardiovasc Med 2022; 9:942385. [PMID: 35845077 PMCID: PMC9280085 DOI: 10.3389/fcvm.2022.942385] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/14/2022] [Indexed: 01/08/2023] Open
Abstract
Left atrial cardiomyopathy (LACM) has been an ongoing focus of research for several years. There is evidence that LACM is responsible for atrial fibrillation and embolic strokes of undetermined sources. Therefore, the correct diagnosis of LACM is of clinical importance. Various techniques, including electrocardiography, echocardiography, cardiac magnetic resonance imaging, computed tomography, electroanatomic mapping, genetic testing, and biomarkers, can both identify and quantify structural, mechanical as well as electrical dysfunction in the atria. However, the question arises whether these techniques can reliably diagnose LACM. Because of its heterogeneity, clinical diagnosis is challenging. To date, there are no recommendations for standardized diagnosis of suspected LACM. However, standardization could help to classify LACM more precisely and derive therapeutic directions to improve individual patient management. In addition, uniform diagnostic criteria for LACM could be important for future studies. Combining several parameters and relating them seems beneficial to approach the diagnosis of LACM. This review provides an overview of the current evidence regarding the diagnosis of LACM, in which several potential parameters are discussed and, consequently, a proposal for a diagnostic algorithm is presented.
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Affiliation(s)
- Fabienne Kreimer
- University Hospital St. Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Bochum, Germany
| | - Michael Gotzmann
- University Hospital St. Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Bochum, Germany
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16
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Chen LY, Ribeiro ALP, Platonov PG, Cygankiewicz I, Soliman EZ, Gorenek B, Ikeda T, Vassilikos VP, Steinberg JS, Varma N, Bayés-de-Luna A, Baranchuk A. P Wave Parameters and Indices: A Critical Appraisal of Clinical Utility, Challenges, and Future Research-A Consensus Document Endorsed by the International Society of Electrocardiology and the International Society for Holter and Noninvasive Electrocardiology. CIRCULATION. ARRHYTHMIA AND ELECTROPHYSIOLOGY 2022; 15:e010435. [PMID: 35333097 PMCID: PMC9070127 DOI: 10.1161/circep.121.010435] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Atrial cardiomyopathy, characterized by abnormalities in atrial structure and function, is associated with increased risk of adverse cardiovascular and neurocognitive outcomes, independent of atrial fibrillation. There exists a critical unmet need for a clinical tool that is cost-effective, easy to use, and that can diagnose atrial cardiomyopathy. P wave parameters (PWPs) reflect underlying atrial structure, size, and electrical activation; alterations in these factors manifest as abnormalities in PWPs that can be readily ascertained from a standard 12-lead ECG and potentially be used to aid clinical decision-making. PWPs include P wave duration, interatrial block, P wave terminal force in V1, P wave axis, P wave voltage, P wave area, and P wave dispersion. PWPs can be combined to yield an index (P wave index), such as the morphology-voltage-P-wave duration ECG risk score. Abnormal PWPs have been shown in population-based cohort studies to be independently associated with higher risks of atrial fibrillation, ischemic stroke, sudden cardiac death, and dementia. Additionally, PWPs, either individually or in combination (as a P wave index), have been reported to enhance prediction of atrial fibrillation or ischemic stroke. To facilitate translation of PWPs to routine clinical practice, additional work is needed to standardize measurement of PWPs (eg, via semiautomated or automated measurement), confirm their reliability and predictive value, leverage novel approaches (eg, wavelet analysis of P waves and machine learning algorithms), and finally, define the risk-benefit ratio of specific interventions in high-risk individuals. Our ultimate goal is to repurpose the ubiquitous 12-lead ECG to advance the study, diagnosis, and treatment of atrial cardiomyopathy, thus overcoming critical challenges in prevention of cardiovascular disease and dementia.
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Affiliation(s)
- Lin Yee Chen
- Lillehei Heart Institute & Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis' MN (L.Y.C.)
| | - Antonio Luiz Pinho Ribeiro
- Centro de Telessaúde, Hospital das Clínicas, & Departamento de Clínica Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil (A.L.P.R.)
| | - Pyotr G Platonov
- Department of Cardiology, Clinical Sciences, Lund University, Lund' Sweden (P.G.P.)
| | - Iwona Cygankiewicz
- Department of Electrocardiology, Medical University of Lodz, Poland (I.C.)
| | - Elsayed Z Soliman
- Institute of Global Health & Human Ecology, American University in Cairo, Cairo, Egypt (E.Z.S.).,Epidemiological Cardiology Research Center (EPICARE), Department of Internal Medicine, Section on Cardiovascular Medicine, Wake Forest School of Medicine, Winston Salem, NC (E.Z.S.)
| | - Bulent Gorenek
- Department of Cardiology, Eskişehir Osmangazi University, Eskisehir, Turkey (B.G.)
| | - Takanori Ikeda
- Department of Cardiovascular Medicine, Toho University Faculty of Medicine, Tokyo' Japan (T.I.)
| | - Vassilios P Vassilikos
- Third Cardiology Department, Hippokrateio General Hospital, Medical School, Aristotle University of Thessaloniki, Greece (V.P.V.)
| | - Jonathan S Steinberg
- Clinical Cardiovascular Research Center, Univ of Rochester School of Medicine & Dentistry, Rochester, NY (J.S.S.)
| | - Niraj Varma
- Cardiac Electrophysiology, Heart & Vascular Institute, Cleveland Clinic, Cleveland' OH (N.V.)
| | - Antoni Bayés-de-Luna
- Cardiovascular Research Foundation. Cardiovascular ICCC-Program, Research Institute Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, Barcelona, Spain (A.B.-d.-L.)
| | - Adrian Baranchuk
- Division of Cardiology, Kingston Health Science, Center, Queen's University, Kingston, Ontario, Canada (A.B.)
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17
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Kreimer F, Mügge A, Gotzmann M. How should I treat patients with subclinical atrial fibrillation and atrial high-rate episodes? Current evidence and clinical importance. Clin Res Cardiol 2022; 111:994-1009. [PMID: 35292844 PMCID: PMC9424173 DOI: 10.1007/s00392-022-02000-7] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 03/01/2022] [Indexed: 11/28/2022]
Abstract
Long-term and continuous ECG monitoring using cardiac implantable electronic devices and insertable cardiac monitors has improved the capability of detecting subclinical atrial fibrillation (AF) and atrial high-rate episodes. Previous studies demonstrated a high prevalence (more than 20%) in patients with cardiac implantable electronic devices or insertable cardiac monitors. Subclinical AF and atrial high-rate episodes are often suspected as the cause of prior or potential future ischemic stroke. However, the clinical significance is still uncertain, and the evidence is limited. This review aims to present and discuss the current evidence on the clinical impact of subclinical AF and atrial high-rate episodes. It focuses particularly on the association between the duration of the episodes and major clinical outcomes like thromboembolic events. As subclinical AF and atrial high-rate episodes are presumed to be associated with ischemic strokes, detection will be particularly important in patients with cryptogenic stroke and in high-risk patients for thromboembolism. In this context, it is also interesting whether there is a temporal relationship between the detection of subclinical AF and atrial high-rate episodes and the occurrence of thromboembolic events. In addition, the review will examine the question whether there is a need for a therapy with oral anticoagulation.
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Affiliation(s)
- Fabienne Kreimer
- University Hospital St Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Gudrunstraße 56, 44791, Bochum, Germany
| | - Andreas Mügge
- University Hospital St Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Gudrunstraße 56, 44791, Bochum, Germany
| | - Michael Gotzmann
- University Hospital St Josef-Hospital Bochum, Cardiology and Rhythmology, Ruhr University Bochum, Gudrunstraße 56, 44791, Bochum, Germany.
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