SURF (stroke with underlying risk of atrial fibrillation): Proposals for a definition.

OBJECTIVES: Diagnosis of occult atrial fibrillation (AF) in stroke patients remains challenging. Several scores predictive of occult AF in stroke patients have been proposed, all based on the positive predictive value of clinical, biological, and radiological parameters, but they failed to modify the management of AF detection after stroke. The aim of this study was to identify a group of Stroke patients with Underlying Risk of Atrial Fibrillation (SURF) excluding stroke patients with low risk of AF. PATIENTS AND METHODS: We enrolled consecutive AF-naive stroke patients without indication of long-term anticoagulation. AF was adjudicated after prolonged Holter ECG and 2 years of follow-up. The negative predictive value (NPV) was determined for each relevant parameter in the acute phase. Firstly, clinico-radiological parameters with NPV > 95% defined the initial exclusion criteria of SURF. Secondly, the ultimate exclusion criterion of SURF was defined by a composite criterion constructed using the beta-coefficient of independent predictive parameters of AF determined by logistic regression. RESULTS: Among 773 AF-naïve patients without indication of anticoagulation, 111(14.4%) AFs were found. Initial SURF exclusion criteria, determined by NPV ≥ 95%, are: symptomatic atherosclerotic stenosis ≥50%, symptomatic arterial dissection or lacunar stroke. The SURF definition was completed by a composite exclusion criterion [Age*10+BNP< = 700] (NPV: 96.8%[92.6-98.9]). In the SURF group, 93/195(47.7%) AFs were diagnosed. CONCLUSIONS: In the SURF group, nearly half of the stroke patients had AF. The criteria used to define such a group are easily obtained in all stroke units, in the acute phase. SURF is a new concept proposal, which aims to improve the effectiveness of AF diagnosis after stroke.

Ischemic Stroke in a Young Patient Heralding a Left Ventricular Noncompaction Cardiomyopathy.

Strokes in young patients may be the clinical expression of many complex and extremely rare diseases. Uncommon causes constitute less than 5% of all strokes, but are present in 30% of strokes in young patients. We report the case of a young woman whose ischemic stroke led to the diagnosis of a rare embolic cardiomyopathy, left ventricular noncompaction cardiomyopathy, requiring a heart transplant.

Patent foramen ovale and stroke in intermediate-risk pulmonary embolism.

BACKGROUND: Patent foramen ovale (PFO) in pulmonary embolism (PE) is associated with an increased risk of complications. However, little is known about PFO and ischemic stroke prevalence, particularly in acute intermediate-risk PE. In addition, in this context, the so-called "gold standard" method of PFO diagnosis remains unknown. We aimed to evaluate PFO and ischemic stroke prevalence and determine which of transesophageal echocardiography (TEE) or transthoracic echocardiography (TTE) is the best PFO diagnostic method in this context. METHODS: We conducted a prospective monocentric study of consecutive patients with intermediate-risk PE in whom a TEE and TTE with contrast were performed. Brain MRI was used to confirm clinically obvious strokes or to diagnose subclinical ones. RESULTS: Forty-one patients with intermediate-risk PE were identified over a 9-month period. Contrast TEE revealed PFO in 56.1%, whereas contrast TTE showed PFO in only 19.5% (P < .001). Of note, all PFOs observed with TTE were also diagnosed by TEE. Ischemic stroke occurred in 17.1% and was always associated with PFO and large shunt. CONCLUSIONS: PFO and related ischemic strokes are frequent in intermediate-risk PE. TEE is much more efficient than TTE for PFO diagnosis. Considering the high risk of intracranial bleeding with thrombolysis in PE, which may be partly due to hemorrhagic transformation of subclinical strokes, screening PFO with TEE should be considered in intermediate-risk PE when thrombolytic treatment is discussed.

Real time three-dimensional echocardiographic assessment of left ventricular function in heart failure patients: underestimation of left ventricular volume increases with the degree of dilatation.

BACKGROUND: Accurate quantification of left ventricular (LV) volumes and ejection fraction (EF) is of critical importance. Cardiac magnetic resonance (CMR) is considered as the reference and three-dimensional echocardiography (3DE) is an accurate method, but only few data are available in heart failure patients. We therefore sought to compare the accuracy of real time three-dimensional echocardiography (RT3DE) and two-dimensional echocardiography (2DE) for quantification of LV volumes and EF, relative to CMR imaging in an unselected population of heart failure patients. METHODS AND RESULTS: We studied 24 patients (17 men, age 58 ± 15 years) with history of heart failure who underwent echocardiographic assessment of LV function (2DE, RT3DE) and CMR within a period of 24 hours. Mean LV end-diastolic volume (LVEDV) was 208 ± 109 mL (121 ± 64 mL/m(2) ) and mean LVEF was 31 ± 12.8%. 3DE data sets correlate well with CMR, particularly with respect to the EF (r: 0.8, 0.86, and 0.95; P < 0.0001 for LVEDV, LVESV, and EF, respectively) with small biases (-55 mL, -44 mL, 1.1%) and acceptable limits of agreement. RT3DE provides more accurate measurements of LVEF than 2DE (z= 2.1, P = 0.037) and lower variability. However, 3DE-derived LV volumes are significantly underestimated in patients with severe LV dilatation. In patients with LVEDV below 120 mL/m(2) , RT3DE is more accurate for volumes and EF evaluation. CONCLUSION: Compared with CMR, RT3DE is accurate for evaluation of EF and feasible in all our heart failure patients, at the expense of a significant underestimation of LV volumes, particularly when LVEDV is above 120 mL/m(2) .

Score for the targeting of atrial fibrillation (STAF): a new approach to the detection of atrial fibrillation in the secondary prevention of ischemic stroke.

BACKGROUND AND PURPOSE: The high risk of recurrence and comorbidity after a stroke associated with atrial fibrillation (AF) justifies an aggressive diagnostic approach so that anticoagulant treatment can be initiated. METHODS: The clinical and paraclinical characteristics of consecutive ischemic stroke patients with and without documented AF were recorded. Independent predictive factors were then used to produce a predictive grading score for diagnosing AF, derived by logistic regression analysis: Score for the Targeting of Atrial Fibrillation (STAF). RESULTS: STAF, calculated from the sum of the points for the 4 items (possible total score 0 to 8): age >62 years (2 points); NIHSS > or =8 (1 point); left atrial dilatation (2 points); absence of symptomatic intraor extracranial stenosis > or =50%, or clinico-radiological lacunar syndrome (3 points). STAF > or =5 identified patients with AF with a sensitivity of 89% and a specificity of 88%. CONCLUSIONS: STAF can be used as part of a novel and simple strategy for the targeting of AF in the secondary prevention of ischemic stroke. A multicenter study is now required to validate STAF in a larger number of patients.