Copyright
©The Author(s) 2017.
World J Clin Cases. Mar 16, 2017; 5(3): 93-101
Published online Mar 16, 2017. doi: 10.12998/wjcc.v5.i3.93
Published online Mar 16, 2017. doi: 10.12998/wjcc.v5.i3.93
Variable | Cardioembolic stroke n = 575 | Non-cardioembolic cerebral infarct1 n = 1507 | P value |
Age, yr, mean (SD) | 78.96 (9.39) | 73.45 (12.8) | 0.0001 |
Age strata, yr | 0.0001 | ||
< 65 | 44 (7.6) | 285 (18.9) | |
65-74 | 116 (20.2) | 405 (26.9) | |
75-84 | 251 (43.7) | 557 (37.0) | |
≥ 85 | 164 (28.5) | 260 (17.3) | |
Sex | 0.0001 | ||
Males | 199 (34.6) | 788 (52.3) | |
Females | 373 (65.4) | 719 (47.7) | |
Hypertension | 291 (50.6) | 835 (55.4) | 0.049 |
Diabetes | 103 (17.9) | 368 (24.4) | 0.002 |
Atrial fibrillation | 433 (75.3) | 176 (11.7) | 0.0001 |
Heavy smoking (> 20 cigarettes/d) | 23 (4.0) | 184 (12.2) | 0.0001 |
ACM vascular topography | 391 (68.0) | 703 (46.6) | 0.0001 |
Echocardiography | 363 (63.1) | 598 (39.7) | 0.0001 |
Symptom-free at discharge | 82 (14.3) | 300 (19.9) | 0.003 |
In-hospital death | 126 (21.9) | 123 (8.2) | 0.0001 |
Transfer to convalescent/rehabilitation units | 89 (15.5) | 154 (10.2) | 0.001 |
Length of stay, days, median (interquartile range) | 15 (10-24) | 11 (8-19) | 0.0001 |
Prolonged hospital stay > 12 d | 330 (57.4) | 650 (43.1) | 0.0001 |
Ref. | Study type | n | Age (yr) | Gender | Inclusion criteria | Exclusion criteria | Confounding factors | Parameters evaluated | Results |
Wu et al[32] | Retrospective cohort | 1046 | 63 ± 10 | 612 males 434 females | Patients hospitalized in Zhengzhou University People's Hospital for diagnosis and treatment between March 1 and March 31 of 2010 ECG Presence of IAB | History of AF Patients under anticoagulant treatment Missing data for calculation of CHADS2 and CHA2DS2-VASc scores Lost to follow-up | Congestive Heart Failure Hypertension Diabetes Mellitus Previous strokes/TIA Coronary Artery Disease PCI during index admission CABG during index admission Tobacco consumption LVEF LA diameter Medication Use | Conduction lengths CHADS2 and CHA2DS2-VASc scores Apparition of Stroke (Hemorrhagic or Ischemic) | Mean follow-up of 4.9 ± 0.7 yr 0.8% hemorrhagic stroke 5.3% presented ischemic stroke or TIA Ischemic stroke or TIA increased with CHADS2 score: 0.37, 0.85, 0.96 and 1.92 per 100-person years for scores of 0, 1, 2, and > 3 respectively CHA2DS2-VASc scores correlated with Ischemic stroke or TIA (0.19, 0.59, 0.76, 0.88, and 2.0 for scores of 0, 1, 2, 3, and > 4 respectively) Cut-off points: > 3 for CHADS2, > 4 for CHA2DS2-VASc Conclusion: CHADS2 and CHA2DS2-VASc scores may be predictors of risk of ischemic stroke or TIA in patients with IAB without atrial fibrillation |
Martinez-Selles et al[40] | Case-control | 80 | 101.4 ± 1.5 | 21 males 59 females | Patients from the Cardiac and Clinical Characterization of Centenarians (4C) Registry | Hospitalized patients | Dementia Perceived health status score Previous stroke Mitral regurgitation Systolic dysfunction Left atrial diameter > 40 mm | Conduction lengths ECG measurements Short Portable Mental Status Questionnaire Premature atrial beats | IAB group showed higher rate of previous stroke than normal P wave and AF groups Premature atrial beats were more frequent in advanced IAB than normal P-wave Mitral regurgitation could play an important role in IAB Conclusion: Advanced IAB is a pre-atrial fibrillation condition associated with premature atrial beats. Atrial arrhythmias and IAB occurred more frequently in centenarians than in septuagenarians. |
O'Neal et al[24] | Retrospective cohort | 14716 | 54 ± 5.8 | 6622 males 8094 females | Patients enrolled in the ARIC Study Recruited between 1987 and 1989 | Patients with prevalent stroke or AF at baseline Race other than black or white Black participants from Washington County and Minneapolis | Black Tobacco use Diabetes LDL cholesterol level BMI Hypertension Antihypertensive medication Coronary heart disease Heart failure | Conduction lengths Presence of stroke Stroke type | Incidence rate of ischemic stroke was higher in aIAB (8.05/1000 person-years vs 3.14; P < 0.0001) Conclusion: aIAB was associated with incident ischemic stroke |
O'Neal et al[29] | Retrospective cohort | 14625 | 54 ± 5.8 | 6581 males 8044 females | Patients enrolled in the ARIC Study Recruited between 1987 and 1989 | Participants with AF at baseline Missing baseline covariates Missing follow-up data Race other than black or white Black participants from Washington County and Minneapolis | Black Tobacco consumption Diabetes LDL cholesterol level BMI Hypertension Antihypertensive medication | Conduction lengths | Total of 262 aIAB (69 baseline, 193 new) 1929 AF cases were identified aIAB patients presented an AF incidence of 29.8/1000 vs 6.8/1000 of non-aIAB; HR = 3.09 (P < 0.0001) Conclusion: aIAB is a useful marker to identify high risk subjects for developing atrial fibrillation |
Pirinen et al[41] | Case-control | 690 | 15-49 | 438 males 252 females | Correct diagnosis of IS Part of the Helsinki Young Stroke Study | Unknown stroke date Outpatient treatment only No ECG OR only take on the day of stroke in ER OR no ECG between day of stroke and 14 d after | Coronary heart disease Heart failure Obesity Hypertension Tobacco use Dyslipidemia CHF Preexisting AF #VALUE | Arrhythmia types Conduction lengths Stroke etiology | Most Common ECG abnormalities: T-wave inversion (LVH (14%), prolonged P-wave (13%), prolonged QTc (12%). Most ECG abnormalities in the Stroke Etiology Subgroups: HRCE, LAA and SVD Conclusion: Routine ECG provides useful information for directing the work-up of a young IS patient. In addition to AF, P-terminal force in particular showed a strong association with etiology of high-risk source of cardioembolism |
Enriquez et al[42] | Prospective cohort | 187 | 67 ± 10.7 | Not reported | Patients with typical atrial flutter (AFI) with no prior history of AF referred for CTI ablation | Patients that had received repeat ablations or did not demonstrate a bidirectional block | Composite of Cardiovascular Disease not reported | Conduction lengths Ejection fraction Holter monitoring | Advanced IAB was detected in 18.2% of patients Left atrium was larger in aIAB (46.2 ± 5.9 mm vs 43.1 ± 6.0 mm; P = 0.01) 35.8% of patients developed new-onset AF |
Cotter et al[31] | Retrospective cohort | 51 | 17-73 | 28 males 23 females | ILR implanted after unexplained ischemic stroke Brain imaging consistent with embolism Arterial imaging Structural cardiac imaging and rhythm monitoring 50 d of continuous monitoring | TIA Documented cause of stroke before ILR implantation Intrinsic small-vessel disease cause Atheromatosis stenosis > 50% or dissection High-risk cardiac embolic source No AF detected in 24 h - Holter | Not reported | Rhythm monitoring ECG Conduction lengths CHADS2 and CHA2DS2-VASc scores | 25.5% of cases had AF IAB more prevalent in patients with AF (P = 0.02) AF patients larger LA volumes (P = 0.025) Mean AF duration was 6 min Conclusion: In patients with unexplained stroke atrial fibrillation was detected by implantable loop recorders in 25.5%. IAB was an independent predictor of AF |
Cotter et al[30] | Case-control | 78 | 24-55 | 49 males 29 females | ≤ 55 yr at time of stroke Index cerebral infarct with no cause found CT or MRI imaging, cervical vascular imaging, ECG and rhythm monitoring | Poor quality data | Not reported | Conduction lengths PFO status A-S-C-O Classification | IAB more frequent in cases than controls (40% vs 13%) (P < 0.05) 74.6% of stroke showed PFO (70.3% large) No statistical difference of P-wave length (with vs without PFO) Conclusion: In young patients with unexplained stroke, particularly those with patent foramen ovale atria l dysfunction is a possible mechanism of stroke |
Ariyarajah et al[43] | Case-control | 66 | 60-87 | 39 males 27 females | Definitive acute or subacute cerebral infarct Probable embolic origin | No 12-lead ECG during 14 d post infarct Non-sinusal rhythm detected in ECG | Hypertension Valvulopathies Cardiomyopathies Tobacco Use Dyslipidemia Diabetes Mellitus Hyper/Hypothyroidism COPD Florid Heart Failure Cardiac Catheterization Myocardial Infection Valvuloplasty Previous strokes/ TIA History of AF/Flutter CAD | Echocardiogram Conduction lengths | 61% IAB prevalence CAD paroxistically more present in control, perhaps due to atherosclerotic origin LA more prevalent in IAB group, with greater LA thrombi (83% vs 0%) Conclusion: IAB could be a risk factor for embolic stroke due to its known sequelae of left atrial dilation and electromechanical dysfunction that predispose to thrombosis |
Ariyarajah et al[2] | Case-control | 228 | 30-102 | 118 males 110 females | Studied for suspicion of stroke with CT Scan and MRI | No 12-lead ECG during 14 d post infarct | Hypertension Valvulopathies Cardiomyopathies Tobacco Use Dyslipidemia Diabetes Mellitus Hyper/Hypothyroidism COPD Florid Heart Failure Cardiac Catheterization Myocardial Infection Valvuloplasty Previous strokes/ TIA History of AF/Flutter CAD | Conduction lengths Stroke etiology | 61% IAB embolic vs 40% non-embolic (P = 0.006) Hypertension for embolic stroke (P < 0.0001) Conclusion: IAB could be a novel risk for embolic stroke |
Ariyarajah et al[12] | Prospective cohort | 32 | 66-94 | 15 males 17 females | Saint Vincent Hospital general patients (December 15, 2004 to January 14, 2005) Resting ECG obtained on admission Existing 2-dimensional transthoracic echocardiograms Sinus rhythm | Not reported | Mitral or tricuspid valvular disease Hypertension Coronary artery disease Hyperlipidemia Diabetes mellitus History of AF/Flutter ACEI use Beta-blocker use Statins use | Conduction lengths LA dimension LVEF Cardiovascular events (heart failure, peripheral embolism, transient ischemic attack, stroke, atrial tachyarrhythmias) | Coronary disease was more prevalent in the IAB group Cardiovascular events were overall most significant in IAB, except for stroke, TIA, peripheral arterial embolism and atrial flutter Conclusion: In patients with comparable echocardiographic parameters, IAB remained associated with atrial fibrillation after 15-mo follow-up |
Lorbar et al[33] | Retrospective cohort | 104 | 22-101 | 58 males 46 females | St Vincent Hospital (January 2000 to December 2001) patients with ICD codes for embolic stroke Diagnosis of embolic ischemic stroke or TIA by a neurologist with or without imaging techniques | Cerebrovascular events non ICD codes Dementia, seizure, hypertensive encephalopathy, subdural hematoma, dizziness, vertigo, psychosis, and headache | Not reported | Conduction lengths ECG patterns | 41% history of AF, or newly diagnosed AF 80% normal sinus rhythm patients showed IAB on concurrent ECG Conclusion: IAB may represent a new factor for stroke |
Jairat et al[23] | Prospective cohort | 1000 | 24-94 | 585 males 415 females | Saint Vincent Hospital general patients | Not reported | Not reported | Conduction lengths ECG patterns | 32.8% of all patients showed IAB 41.1% of sinus rhythm patients showed IAB Conclusion: Patients with IAB must be followed for atrial enlargement, potential thrombosis, and the onset of atrial fibrillation |
- Citation: Arboix A, Martí L, Dorison S, Sánchez MJ. Bayés syndrome and acute cardioembolic ischemic stroke. World J Clin Cases 2017; 5(3): 93-101
- URL: https://www.wjgnet.com/2307-8960/full/v5/i3/93.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v5.i3.93