Association of Left Ventricular Hypertrophy and Atrial Fibrillation with Hemorrhagic Evolution of Small Vessel Disease.

OBJECTIVES: Cerebral small vessel disease (SVD) is often associated with hypertension and may evolve towards intracerebral hemorrhage (ICH) or lacunar ischemic stroke. However, the factors favoring the evolution towards ICH or lacunar stroke are not well understood. MATERIALS AND METHODS: This retrospective study included 326 consecutive patients (71.1±13.2 years, 38% women): 143 with deep ICH and 183 with lacunar lesions (LL) <2 cm, which were visible in a deep location on brain CT scan. Among LL patients, 143 had a small-artery occlusion (SAO) stroke according to the TOAST classification. Clinical characteristics plus laboratory and neuroradiological variables of these patients had been prospectively collected and a subgroup underwent echocardiography. RESULTS: In multivariate analysis, ICH patients (97% hypertensive), compared to SAO patients (89% hypertensive), had greater left ventricular wall thickness (LVWT; OR 4.15, 95%CI 1.64-10.53, for those with LVWT ≥ 1.4 cm, 70% of whom were hemorrhagic) and lower prevalence of white matter lesions (OR 0.30, 95%CI 0.13-0.70), ever smokers (OR 0.39, 95%CI 0.18-0.82) and diabetics (OR 0.29, 95% CI 0.10-0.84). Moreover, ICH patients had a greater prevalence of atrial fibrillation than LL patients (OR 3.14, 95%CI 1.11-8.93), and so they were more often anticoagulated. CONCLUSIONS: Most SVD patients were hypertensive, but those evolving towards ICH were characterized by organ damage at the cardiac level (increase in LVWT and atrial fibrillation), while those evolving towards lacunar stroke were characterized by a higher prevalence of smokers and diabetics, and by organ damage at the cerebral level (white matter lesions).

Usefulness of the ACTEL Score to Predict Atrial Fibrillation in Patients with Cryptogenic Stroke.

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.

Probability of Cardioembolic vs. Atherothrombotic Pathogenesis of Cryptogenic Strokes in Older Patients.

Some clinical, laboratory, ECG, and echocardiographic parameters could provide useful indications to assess the probability of cardioembolism or atherothrombosis in cryptogenic strokes. We retrospectively examined 290 patients with ischemic stroke aged ≥60 years, divided into 3 groups: strokes originating from large artery atherothrombosis (n = 92), cardioembolic strokes caused by paroxysmal atrial fibrillation (n = 88) and cryptogenic strokes (n = 110). In addition to echocardiographic and routine clinical-laboratory variables, neutrophil:lymphocyte ratio, red blood cell distribution width, mean platelet volume, P wave and PR interval duration and biphasic inferior P waves, both on admission and after 7 to 10 days, were also considered. By multiple logistic regression, cardioembolic strokes were compared with large artery atherothrombosis strokes, and beta coefficients were rounded to produce a scoring system. Late PR interval ≥188 ms, left atrium ≥4 cm, left ventricular end-diastolic volume <65 ml, and posterior circulation syndrome were associated with paroxysmal atrial fibrillation (positive scores). In contrast, male gender, hypercholesterolemia, and initial platelet count ≥290 × 109/L were associated with atherothrombosis of large arteries (negative scores). The algebraic sum of these scores produced values indicative of cardioembolism if >0 (positive predictive value 89.1%), or of atherothrombosis, if ≤0 (positive predictive value 72.5%). The area under the receiver operating characteristic curve was 0.85. Among cryptogenic strokes, 41.5% had a score >0 (probable atrial fibrillation) and 58.5% had a score ≤0 (possible atherothrombosis). In conclusion, a scoring system based on electrocardiogram, laboratory, clinical and echocardiographic parameters can provide useful guidance for further investigations and secondary prevention in older patients with cryptogenic stroke.

Usefulness of the MrWALLETS Scoring System to Predict First Diagnosed Atrial Fibrillation in Patients With Ischemic Stroke.

Some cryptogenic strokes are caused by undetected paroxysmal atrial fibrillation (AF) and could benefit from oral anticoagulation. In this study, we searched for echocardiographic parameters associated with first diagnosed AF, to form a scoring system for the identification of patients with AF. We examined 571 patients with ischemic stroke (72.7 ± 13.5 years, 50.6% women), subdivided into 4 groups: documented cause without AF, first diagnosed AF, known paroxysmal AF, and permanent AF. All patients underwent transthoracic echocardiography, brain computed tomography scan, carotid/vertebral ultrasound, and continuous electrocardiographic monitoring. Eight factors independently characterized first diagnosed AF and formed the "MrWALLETS" score: mitral regurgitation, mild-to-moderate (+1), white matter lesions (-1), age ≥75 years (+1), left atrium ≥4 cm (+1), cerebral lesion diameter ≥4 cm (+1), left ventricular end-diastolic volume <65 ml (+1), tricuspid regurgitation ≥moderate (+1), carotid stenosis ≥50% (-1). In the patients with ≥3 points, positive predictive value was 80%, specificity 97.5%, and sensitivity 57.1%. In the patients with ≥2 points sensitivity rose to 85.7%, but positive predictive value was 47.1%. The area under the receiver-operating characteristic curve was 0.89 (95% CI 0.83 to 0.95). There were important differences among AF groups, which therefore could not be merged. In conclusion, 4 echocardiographic parameters, 3 additional instrumental parameters, and age allow the identification of stroke patients with first diagnosed AF with high positive predictive value.

Hypertension and Other Determinants of White Matter Lesions in Stroke Patients.

Hypertension is the main risk factor for both white matter lesions (WMLs) and stroke, but many stroke patients do not have WMLs. To find specific determinants of WMLs, the authors assessed 321 ischemic and hemorrhagic stroke patients who had undergone echocardiography. The patients with WMLs (n=160) were more often hypertensive and had a higher systolic blood pressure than the patients without WMLs. However, in a multivariate analysis, only the following variables remained associated with WMLs: (1) age: odds ratio [OR], 1.08 per year (95% confidence interval [CI], 1.06-1.11); (2) left ventricular relative wall thickness (RWT) ≥0.52: OR, 2.78 (95% CI, 1.59-4.88); (3) lacunar strokes: OR, 4.15 (95% CI, 1.83-9.44); (4) hemorrhagic strokes: OR, 5.36 (95% CI, 1.57-18.39); and (5) female: OR, 1.91 (95% CI, 1.12-3.27). Thus, the main modifiable risk factor for WMLs was RWT, which proved to be an even stronger risk factor than hypertension. This suggests that RWT might be a useful target in the treatment of hypertension to counteract the appearance of WMLs.