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Ratajczak-Tretel B, Lambert AT, Al-Ani R, Arntzen K, Bakkejord GK, Bekkeseth HMO, Bjerkeli V, Eldøen G, Gulsvik AK, Halvorsen B, Høie GA, Ihle-Hansen H, Ihle-Hansen H, Ingebrigtsen S, Kremer C, Krogseth SB, Kruuse C, Kurz M, Nakstad I, Novotny V, Næss H, Qazi R, Rezaj MK, Rørholt DM, Steffensen LH, Sømark J, Tobro H, Truelsen TC, Wassvik L, Ægidius KL, Atar D, Aamodt AH. Prediction of underlying atrial fibrillation in patients with a cryptogenic stroke: results from the NOR-FIB Study. J Neurol 2023:10.1007/s00415-023-11680-8. [PMID: 37162578 DOI: 10.1007/s00415-023-11680-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 03/19/2023] [Indexed: 05/11/2023]
Abstract
BACKGROUND Atrial fibrillation (AF) detection and treatment are key elements to reduce recurrence risk in cryptogenic stroke (CS) with underlying arrhythmia. The purpose of the present study was to assess the predictors of AF in CS and the utility of existing AF-predicting scores in The Nordic Atrial Fibrillation and Stroke (NOR-FIB) Study. METHOD The NOR-FIB study was an international prospective observational multicenter study designed to detect and quantify AF in CS and cryptogenic transient ischaemic attack (TIA) patients monitored by the insertable cardiac monitor (ICM), and to identify AF-predicting biomarkers. The utility of the following AF-predicting scores was tested: AS5F, Brown ESUS-AF, CHA2DS2-VASc, CHASE-LESS, HATCH, HAVOC, STAF and SURF. RESULTS In univariate analyses increasing age, hypertension, left ventricle hypertrophy, dyslipidaemia, antiarrhythmic drugs usage, valvular heart disease, and neuroimaging findings of stroke due to intracranial vessel occlusions and previous ischemic lesions were associated with a higher likelihood of detected AF. In multivariate analysis, age was the only independent predictor of AF. All the AF-predicting scores showed significantly higher score levels for AF than non-AF patients. The STAF and the SURF scores provided the highest sensitivity and negative predictive values, while the AS5F and SURF reached an area under the receiver operating curve (AUC) > 0.7. CONCLUSION Clinical risk scores may guide a personalized evaluation approach in CS patients. Increasing awareness of the usage of available AF-predicting scores may optimize the arrhythmia detection pathway in stroke units.
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Affiliation(s)
- B Ratajczak-Tretel
- Department of Neurology, Østfold Hospital Trust, Grålum, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - A Tancin Lambert
- Department of Neurology, Østfold Hospital Trust, Grålum, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - R Al-Ani
- Department of Cardiology, Østfold Hospital Trust, Grålum, Norway
| | - K Arntzen
- Department for Neurology, Nordlandssykehuset, Bodø, Norway
| | - G K Bakkejord
- Department for Neurology, Nordlandssykehuset, Bodø, Norway
| | - H M O Bekkeseth
- Department of Neurology, Innlandet Hospital Trust, Lillehammer Hospital, Lillehammer, Norway
| | - V Bjerkeli
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - G Eldøen
- Department of Neurology, Molde Hospital, Molde, Norway
| | - A K Gulsvik
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - B Halvorsen
- Research Institute of Internal Medicine, Oslo University Hospital, Oslo, Norway
| | - G A Høie
- Department of Cardiology, Østfold Hospital Trust, Grålum, Norway
| | - H Ihle-Hansen
- Stroke Unit, Oslo University Hospital, Ullevål, Oslo, Norway
| | - H Ihle-Hansen
- Department of Internal Medicine, Vestre Viken Hospital Trust, Bærum Hospital, Gjettum, Norway
| | - S Ingebrigtsen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - C Kremer
- Department of Neurology, Skåne University Hospital, Malmö, Sweden
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - S B Krogseth
- Department of Neurology, Vestfold Hospital, Tønsberg, Norway
| | - C Kruuse
- Department of Neurology, Herlev Gentofte Hospital, Herlev, Denmark
| | - M Kurz
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - I Nakstad
- Department of Neurology, Vestre Viken Hospital Trust, Drammen Hospital, Drammen, Norway
| | - V Novotny
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - H Næss
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - R Qazi
- Department of Internal Medicine, Diakonhjemmet Hospital, Oslo, Norway
| | - M K Rezaj
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - D M Rørholt
- Department of Neurology, Molde Hospital, Molde, Norway
| | - L H Steffensen
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - J Sømark
- Department of Neurology, Innlandet Hospital Trust, Lillehammer Hospital, Lillehammer, Norway
| | - H Tobro
- Department of Neurology, Telemark Hospital, Skien, Norway
| | - T C Truelsen
- Department of Neurology, Rigshospitalet University Hospital, Copenhagen, Denmark
| | - L Wassvik
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - K L Ægidius
- Department of Neurology, Bispebjerg University Hospital, Copenhagen, Denmark
| | - D Atar
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Cardiology, Oslo University Hospital, Ullevål, Oslo, Norway
| | - Anne Hege Aamodt
- Department of Neurology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
- Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
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2
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Balogh L, Óvári P, Ugbodaga CU, Csanádi Z. Atrial Fibrillation Related Coronary Embolism: Diagnosis in the Focus. J Pers Med 2023; 13:jpm13050780. [PMID: 37240950 DOI: 10.3390/jpm13050780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 04/27/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Atrial fibrillation (AF) is the most common arrhythmia in myocardial infarction (MI). AF can be caused by ischemia, and MI can be caused by AF. Additionally, 4-5% of MI cases are related to coronary embolism (CE), and one-third of cases are attributed to AF. Our aim was to investigate the prevalence of AF-related CE cases among 3 consecutive years of STEMI cases. We also aimed to reveal the diagnostic accuracy of the Shibata criteria scoring system and the role of thrombus aspiration. Among 1181 STEMI patients, 157 had AF (13.2%). By using the Shibata's diagnostic criteria, 10 cases were classified as 'definitive' and 31 as 'probable' CE. After re-evaluation, a further five cases were classified as 'definitive'. Further analysis of the 15 CE cases revealed that CE was more prevalent in patients with previously known (n = 10) compared to those with new-onset (n = 5) AF (16.7% vs. 5.1%, p = 0.024). A PubMed search was performed, and 40 AF-related cases were found where the Shibata's criteria could be applied. Further, 31 cases could be classified as 'definitive', 4 as 'probable' and, in 5 cases, the embolic origin could be excluded. In 40% of reported cases and in 47% of our cases, thrombus aspiration helped in diagnosis.
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Affiliation(s)
- László Balogh
- Department of Cardiology and Cardiac Surgery, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Péter Óvári
- Department of Cardiology and Cardiac Surgery, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Christopher Uwaafo Ugbodaga
- Department of Cardiology and Cardiac Surgery, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
| | - Zoltán Csanádi
- Department of Cardiology and Cardiac Surgery, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary
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3
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Özbek M, Arık B, Demir M, Zihni Bilik M, Ata Akıl M, Demir F, Gültekin H, Akıl E. A novel predictor in endovascular treatment patients for cerebral perfusion and prognosis: CHA2DS2-VASC. J Clin Neurosci 2022; 106:1-7. [DOI: 10.1016/j.jocn.2022.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/28/2022] [Accepted: 10/01/2022] [Indexed: 11/05/2022]
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4
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Xu J, Zhao M, Wang A, Xue J, Cheng S, Cheng A, Gao J, Zhang Q, Zhan R, Meng X, Xu M, Li H, Zheng L, Wang Y. Association Between Plasma Trimethyllysine and Prognosis of Patients With Ischemic Stroke. J Am Heart Assoc 2021; 10:e020979. [PMID: 34816729 PMCID: PMC9075360 DOI: 10.1161/jaha.121.020979] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Background Trimethyllysine, a trimethylamine N‐oxide precursor, has been identified as an independent cardiovascular risk factor in acute coronary syndrome. However, limited data are available to examine the role of trimethyllysine in the population with stroke. We aimed to examine the relationship between plasma trimethyllysine levels and stroke outcomes in patients presenting with ischemic stroke or transient ischemic attack. Methods and Results Data of 10 027 patients with ischemic stroke/transient ischemic attack from the CNSR‐III (Third China National Stroke Registry) and 1‐year follow‐up data for stroke outcomes were analyzed. Plasma levels of trimethyllysine were measured with mass spectrometry. The association between trimethyllysine and stroke outcomes was analyzed using Cox regression models. Mediation analysis was performed to examine the mediation effects of risk factors on the associations of trimethyllysine and stroke outcomes. Elevated trimethyllysine levels were associated with increased risk of cardiovascular death (quartile 4 versus quartile 1: adjusted hazard ratio [HR], 1.72; 95% CI, 1.03–2.86) and all‐cause mortality (quartile 4 versus quartile 1: HR, 1.97; 95% CI, 1.40–2.78) in multivariate Cox regression model. However, no associations were found between trimethyllysine and nonfatal stroke recurrence or nonfatal myocardial infarction. Trimethyllysine was associated with cardiovascular death independent of trimethylamine N‐oxide. Both estimated glomerular filtration rate and hs‐CRP (high‐sensitivity C‐reactive protein) had significant mediation effects on the association of trimethyllysine with cardiovascular death, with a mediation effect of 37.8% and 13.4%, respectively. Conclusions Elevated trimethyllysine level is associated with cardiovascular death among patients with ischemic stroke/transient ischemic attack. Mediation analyses propose that trimethyllysine contributes to cardiovascular death through inflammation and renal function, suggesting a possible pathomechanistic link.
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Affiliation(s)
- Jie Xu
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China
| | - Mingming Zhao
- The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Health Science Center Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides of Ministry of Health Beijing Key Laboratory of Cardiovascular Receptors Research Peking University Beijing China
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China
| | - Jing Xue
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China
| | - Si Cheng
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China
| | - Aichun Cheng
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China
| | - Jianing Gao
- The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Health Science Center Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides of Ministry of Health Beijing Key Laboratory of Cardiovascular Receptors Research Peking University Beijing China
| | - Qi Zhang
- The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Health Science Center Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides of Ministry of Health Beijing Key Laboratory of Cardiovascular Receptors Research Peking University Beijing China
| | - Rui Zhan
- The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Health Science Center Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides of Ministry of Health Beijing Key Laboratory of Cardiovascular Receptors Research Peking University Beijing China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China
| | - Ming Xu
- Department of Cardiology and Institute of Vascular Medicine Peking University Third Hospital Beijing China
| | - Hao Li
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China
| | - Lemin Zheng
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China.,The Institute of Cardiovascular Sciences and Institute of Systems Biomedicine, School of Basic Medical Sciences Key Laboratory of Molecular Cardiovascular Sciences of Ministry of Education, Health Science Center Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides of Ministry of Health Beijing Key Laboratory of Cardiovascular Receptors Research Peking University Beijing China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital China National Clinical Research Center for Neurological Diseases Advanced Innovation Center for Human Brain Protection The Capital Medical University Beijing China
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Kishore AK, Hossain MJ, Cameron A, Dawson J, Vail A, Smith CJ. Use of risk scores for predicting new atrial fibrillation after ischemic stroke or transient ischemic attack-A systematic review. Int J Stroke 2021; 17:608-617. [PMID: 34551649 DOI: 10.1177/17474930211045880] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Newly detected atrial fibrillation (NDAF) following an ischemic stroke or transient ischemic attack is often paroxysmal in nature. While challenging to detect, extended electrocardiographic (ECG) monitoring is often used to identify NDAF which has resource implications. Prognostic risk scores have been derived which may stratify the risk of NDAF and inform patient selection for ECG monitoring approaches after ischemic stroke/transient ischemic attack. AIM The overall aim was to identify risk scores that were derived and/or validated to predict NDAF after ischemic stroke/transient ischemic attack and evaluate their performance. SUMMARY OF REVIEW A systematic literature review was undertaken in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, with application of the Quality Assessment of Diagnostic Accuracy-2 tool. Published studies, which derived and validated clinical risk scores in patients with ischemic stroke/transient ischemic attack, or externally validated an existing score to predict NDAF after ischemic stroke/transient ischemic attack, were considered and independently screened by two reviewers. Twenty-one studies involving 23 separate cohorts were analyzed from which 17 integer-based risk scores were identified. The overall frequency of NDAF was 9.7% (95% confidence intervals 8%-11.5%; I2 = 98%). The performance of the scores varied widely among derivation and validation cohorts (area under the receiver operating characteristic curve (AUC) 0.54-0.94); scores derived from stroke cohorts (12 scores) appeared to perform better (AUC 0.7-0.94) than those derived from non-stroke cohorts (five scores; AUC 0.53-0.79). The scores also varied considerably in their complexity, ascertainment, component variables, participant characteristics, outcome definition, and ease of application limiting their generalizability and utility. CONCLUSION Overall, the risk scores identified performed variably in their discriminative ability and the utility of these scores to predict NDAF in clinical practice remains uncertain. Further studies are required using larger prospective cohorts and randomized control trials to evaluate the usefulness of such scores for clinical decision making and preventative intervention.
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Affiliation(s)
- Amit K Kishore
- Greater Manchester Comprehensive Stroke Centre, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance, Salford Royal Foundation Trust, Salford, UK.,Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Mohammad J Hossain
- School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Alan Cameron
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Jesse Dawson
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Andy Vail
- Centre for Biostatistics, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Craig J Smith
- Greater Manchester Comprehensive Stroke Centre, Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre, Northern Care Alliance, Salford Royal Foundation Trust, Salford, UK.,Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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6
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Kwon S, Kim TJ, Choi EK, Ahn HJ, Lee E, Lee SR, Ko SB, Oh S, Lip GYH. Predictors of ischemic stroke for low-risk patients with atrial fibrillation: A matched case-control study. Heart Rhythm 2021; 18:702-708. [PMID: 33482386 DOI: 10.1016/j.hrthm.2021.01.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 01/07/2021] [Accepted: 01/08/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND The predictors of ischemic stroke in "low-risk" patients with atrial fibrillation (AF) (CHA2DS2-VASc score 0 in men or 1 in women) are debated. OBJECTIVE This study aimed to investigate the factors associated with ischemic stroke in low-risk patients with AF. Imaging characteristics of their ischemic strokes were also evaluated. METHODS This was a matched case-control study conducted at a single tertiary institution. We identified 44 patients with de novo ischemic stroke and incidentally found AF with a low-risk CHA2DS2-VASc score. A 1:5 age- and sex-matched control group was selected for patients with AF and a low-risk CHA2DS2-VASc score but without ischemic stroke and oral anticoagulant therapy. Conditional multivariate logistic regression analysis was performed to identify the predictors. RESULTS There were no significant differences in age, sex, body mass index, comorbidities, left atrial size, and left ventricular ejection fraction. Smokers were more prevalent in the stroke group than in the nonstroke group (24 of 44 [54.5%] vs 22 of 220 [10.0%]; P < .001). Additionally, the mean white blood cell count was significantly higher in the stroke group (P = .019). In conditional univariate logistic regression analysis, smoking and white blood cell count were significant predictors of stroke. In multivariate analysis, smoking was the only significantly associated factor (matched odds ratio 9.10; 95% confidence interval 2.48-33.42). In the stroke group, 14 of 44 patients (31.8%) had multiple vascular territory infarcts. CONCLUSION Smoking was the predictor associated with ischemic stroke in patients with AF and a low-risk CHA2DS2-VASc score.
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Affiliation(s)
- Soonil Kwon
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Tae Jung Kim
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Eue-Keun Choi
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Hyo-Jeong Ahn
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Euijae Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - So-Ryoung Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sang-Bae Ko
- Department of Neurology, Seoul National University Hospital, Seoul, Republic of Korea; Department of Neurology, Seoul National University College of Medicine, Seoul, Republic of Korea.
| | - Seil Oh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Gregory Y H Lip
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Liverpool Centre for Cardiovascular Science, University of Liverpool and Liverpool Chest & Heart Hospital, Liverpool, United Kingdom; Aalborg Thrombosis Research Unit, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
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7
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Muscari A, Barone P, Faccioli L, Ghinelli M, Pastore Trossello M, Puddu GM, Spinardi L, Zoli M. Usefulness of the ACTEL Score to Predict Atrial Fibrillation in Patients with Cryptogenic Stroke. Cardiology 2020; 145:168-177. [PMID: 31991416 DOI: 10.1159/000505262] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 12/05/2019] [Indexed: 11/19/2022]
Abstract
INTRODUCTION To assess the probability of undetected atrial fibrillation (AF) in patients with ischemic stroke, we previously compared patients who were first diagnosed with AF with patients with large or small artery disease and obtained the MrWALLETS 8-item scoring system. In the present study, we utilized cryptogenic strokes (CS) as the control group, as AF is normally sought among CS patients. METHODS We retrospectively examined 191 ischemic stroke patients (72.5 ± 12.6 years), 68 with first diagnosed AF and 123 with CS, who had undergone 2 brain CT scans, echocardiography, carotid/vertebral ultrasound, continuous electrocardiogram monitoring and anamnestic/laboratory search for cardiovascular risk factors. RESULTS In logistic regression, 5 variables were independently associated with AF, forming the "ACTEL" score: Age ≥75 years (OR 2.42, 95% CI 1.18-4.96, p = 0.02; +1 point); hyperCholesterolemia (OR 0.38, 95% CI 0.18-0.78, p = 0.009; -1 point); Tricuspid regurgitation ≥ mild-to-moderate (OR 4.99, 95% CI 1.63-15.27, p = 0.005; +1 point); left ventricular End-diastolic volume <65 mL (OR 7.43, 95% CI 2.44-22.6, p = 0.0004; +1 point); Left atrium ≥4 cm (OR 4.57, 95% CI 1.97-10.62, p = 0.0004; +1 point). The algebraic sum of these points may range from -1 to +4. For AF identification, the area under the receiver operating characteristic curve was 0.80 (95% CI 0.73-0.87). With a cutoff of ≥2, positive predictive value was 80.8%, specificity 92.7% and sensitivity 55.9%. CONCLUSIONS The ACTEL score, a simplified and improved version of the MrWALLETS score, allows the identification of patients with first diagnosed AF, in the context of CSs, with a high positive predictive value.
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Affiliation(s)
- Antonio Muscari
- Stroke Unit, Medical Department of Continuity of Care and Disability, S.Orsola-Malpighi Hospital, Bologna, Italy, .,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy,
| | - Pietro Barone
- Stroke Unit, Medical Department of Continuity of Care and Disability, S.Orsola-Malpighi Hospital, Bologna, Italy
| | - Luca Faccioli
- Diagnostic Interventional Neuroradiology Unit, S.Orsola-Malpighi Hospital, Bologna, Italy
| | - Marco Ghinelli
- Department of Cardiothoracic and Vascular Medicine, S.Orsola-Malpighi Hospital, Bologna, Italy
| | | | - Giovanni M Puddu
- Stroke Unit, Medical Department of Continuity of Care and Disability, S.Orsola-Malpighi Hospital, Bologna, Italy
| | - Luca Spinardi
- Diagnostic Interventional Neuroradiology Unit, S.Orsola-Malpighi Hospital, Bologna, Italy
| | - Marco Zoli
- Stroke Unit, Medical Department of Continuity of Care and Disability, S.Orsola-Malpighi Hospital, Bologna, Italy.,Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy
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8
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Zhao SX, Ziegler PD, Crawford MH, Kwong C, Koehler JL, Passman RS. Evaluation of a clinical score for predicting atrial fibrillation in cryptogenic stroke patients with insertable cardiac monitors: results from the CRYSTAL AF study. Ther Adv Neurol Disord 2019; 12:1756286419842698. [PMID: 31007721 PMCID: PMC6460885 DOI: 10.1177/1756286419842698] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Accepted: 03/14/2019] [Indexed: 12/13/2022] Open
Abstract
Background The HAVOC score was previously developed to predict the risk of atrial fibrillation (AF) after cryptogenic stroke (CS) or transient ischemic attack (TIA). The purpose of this study was to apply the HAVOC score to patients who received insertable cardiac monitors (ICMs) in the CRYSTAL AF study. Methods All patients from the CRYSTAL AF study who received an ICM were included. HAVOC score (one point each for peripheral vascular disease and obesity with body mass index >30, two points each for hypertension, age ⩾ 75, valvular heart disease, and coronary artery disease, 4 points for congestive heart failure) was computed for all patients. The primary endpoint was AF detection by 12 months of ICM monitoring. Results A total of 214 patients who received ICM were included. AF was detected in 40 patients while the remaining 174 patients were AF negative. The HAVOC score was significantly higher among patients with AF [median 3.0 with interquartile range (IQR) 2-4] than those without AF [median 2.0 (IQR 0-3)], p = 0.01. AF increased significantly across the three HAVOC score groups: 11% in Group A (score 0-1), 18% in Group B (score 2-3), and 32 % in Group C (score ⩾ 4) with p = 0.02. Conclusions The HAVOC score was shown in this post hoc analysis of CRYSTAL AF to successfully stratify AF risk post CS or TIA. The 11% AF rate in the lowest HAVOC score group highlights the significance of nontraditional contributors to AF and ischemic stroke.
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Affiliation(s)
- Susan X Zhao
- Division of Cardiology, Santa Clara Valley Medical Center, 751 S. Bascom Avenue, Suite # 340, San Jose, CA 95128, USA
| | | | - Michael H Crawford
- Division of Cardiology, University of California San Francisco, San Francisco, CA, USA
| | | | | | - Rod S Passman
- Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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9
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Cerit L. The same old things: Ancient CHA2DS2-VASC score. J Clin Neurosci 2019; 61:324. [DOI: 10.1016/j.jocn.2018.10.141] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2018] [Accepted: 10/28/2018] [Indexed: 10/27/2022]
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10
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Li Y, Fitzgibbons TP, McManus DD, Goddeau RP, Silver B, Henninger N. Left Ventricular Ejection Fraction and Clinically Defined Heart Failure to Predict 90-Day Functional Outcome After Ischemic Stroke. J Stroke Cerebrovasc Dis 2018; 28:371-380. [PMID: 30396839 DOI: 10.1016/j.jstrokecerebrovasdis.2018.10.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Revised: 10/01/2018] [Accepted: 10/06/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Heart failure (HF) is a risk factor for atrial fibrillation (AF), stroke, and post-stroke disability. However, differing definitions and application of HF-criteria may impact model prediction. We compared the predictive ability of left ventricular ejection fraction (LVEF), a readily available objective echocardiographic index, with clinical HF definitions for functional disability and AF in stroke patients. METHODS We retrospectively analyzed ischemic stroke patients evaluated between January 2013 and May 2015. Outcomes of interest were: (a) 90-day functional disability (modified Rankin score 3-6) and (b) AF. We compared: (1) LVEF (continuous variable), (2) left ventricular systolic dysfunction (LVSD)-categories (absent to severe), (3) clinical history of HF, and (4) HF/LVSD-categories: (i) HF absent without LVSD, (ii) HF absent with LVSD, (iii) HF with preserved ejection fraction (HFpEF), and (iv) HF with reduced ejection fraction (HFrEF). Multivariable logistic regression was used to determine the predictive ability for 90-day disability and AF, respectively. RESULTS Six hundred eighty five consecutive patients (44.5% female) fulfilled the study criteria and were included. After adjustment, the LVEF was independently associated with 90-day disability (OR .98, 95% CI .96-.99, P = .011) with similar predictive ability (area under the curve [AUC] = .85) to models including the LVSD-categories (AUC = .85), clinically define HF (AUC = .86), and HF/LVSD-categories (AUC = .86). The LVEF, HF, LVSD-, and HF/LVSD-categories were independently associated with AF (P < .01, each) with similar predictive ability (AUC = .74, .74, .73, and .75, respectively). CONCLUSIONS Compared to commonly defined HF definitions, the objectively determined LVEF possesses comparable predictive ability for 90-day disability and AF in stroke patients.
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Affiliation(s)
- Yi Li
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
| | - Timothy P Fitzgibbons
- Department of Medicine, Division of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
| | - David D McManus
- Department of Medicine, Division of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, Massachusetts.
| | - Richard P Goddeau
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
| | - Brian Silver
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
| | - Nils Henninger
- Department of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts; Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts.
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Sex Differences in Atrial Fibrillation—Update on Risk Assessment, Treatment, and Long-Term Risk. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2018; 20:79. [DOI: 10.1007/s11936-018-0682-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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