D-dimers predict stroke subtype when assessed early.

BACKGROUND: Early classification of ischemic stroke subtype is important for secondary stroke prevention and may guide further investigations. METHODS: Levels of coagulation activation [fibrinopeptide A (FPA), prothrombin fragment 1+2 (F1+2), thrombin-antithrombin complex (TAT)] and fibrinolysis activation [plasmin-alpha(2)-antiplasmin complex (PAP), D-dimers] markers were measured in 98 consecutive patients with a first-ever acute ischemic stroke admitted within 12 h after symptom onset. RESULTS: Median age was 67 years and 44% were women. Median time from symptom onset to blood sampling was 4 h. Stroke subtype was classified as 'cardioembolic' (54%), 'large-artery atherosclerosis' (11%), 'small-vessel disease' (5%), 'other determined' (9%) or 'undetermined etiology' (20%). Patients with cardioembolic stroke suffered more often from coronary artery disease than patients with other stroke etiologies (40 vs. 22%, p = 0.019). There were no differences in age, sex, stroke severity, time to blood sampling, frequency of hypertension, diabetes mellitus or current smoking. D-dimers (medians) were higher in patients with cardioembolic strokes than in those with other etiologies (615 vs. 322 microg/l, p < 0.001). No differences in F1+2, FPA, TAT or PAP levels were found. After multivariate analysis, higher D-dimer levels remained independently associated with cardioembolic stroke (p = 0.022). When measured within 6 h, D-dimers below 300 microg/l excluded cardioembolic stroke with a sensitivity of 100% and a specificity of 52%. CONCLUSIONS: Low D-dimer levels in the first few hours make a cardioembolic stroke unlikely, and may be useful to guide further investigations. Other coagulation markers were not useful in differentiating between different stroke etiologies.

Frequent atrial premature beats predict paroxysmal atrial fibrillation in stroke patients: an opportunity for a new diagnostic strategy.

BACKGROUND AND PURPOSE: For patients having suffered ischemic stroke, the current diagnostic strategies often fail to detect atrial fibrillation as a potential cause of embolic events. The aim of the study was to identify paroxysmal atrial fibrillation in stroke patients. We hypothesized that patients with frequent atrial premature beats (APBs) recorded in 24-hour ECG will show more often atrial fibrillation when followed by repeated long-term ECG recordings than patients without or infrequent APBs. METHODS: 127 patients with acute ischemic stroke and without known AF were enrolled in a prospective study to detect paroxysmal AF. Patients were stratified according to the number of APBs recorded in a 24-hour ECG (> or =70 APBs versus <70 APBs). Subsequently, they all underwent serial 7-day event-recorder monitoring at 0, 3, and 6 months. RESULTS: Serial extended ECG monitoring identified AF in 26% of patients with frequent APBs but only in 6.5% when APBs were infrequent (P=0.0021). A multivariate analysis showed that the presence of frequent APBs in the initial 24-hour ECG was the only independent predictor of paroxysmal AF during follow-up (odds ratio 6.6, 95% confidence intervals 1.6 to 28.2, P=0.01). CONCLUSIONS: In patients with acute ischemic stroke, frequent APBs (> or = 70/24 hours) are a marker for individuals who are at greater risk to develop or have paroxysmal AF. For such patients, we propose a diagnostic workup with repeated prolonged ECG monitoring to diagnose paroxysmal AF.

Pre- and in-hospital delays from stroke onset to intra-arterial thrombolysis.

BACKGROUND AND PURPOSE: Thrombolysis for treatment of acute ischemic stroke should be administered as fast as possible after symptom onset. The aim of this study was to examine, in our tertiary care center, the time intervals preceding intra-arterial thrombolysis in order to accelerate and optimize the management of acute strokes. METHODS: Between January 1, 2000, and April 30, 2002, 597 patients with acute stroke were admitted to our stroke center. One hundred forty-eight patients underwent diagnostic arteriography, and 100 (16.8%) received intra-arterial thrombolysis. For all patients, we prospectively recorded and analyzed the time of symptom onset, admission, CT and/or MRI scan, diagnostic arteriography, and, if performed, intra-arterial thrombolysis. RESULTS: The mean time to arrival in the emergency department was 99 minutes for patients who were admitted directly (Bern patients), 127 minutes for those who were referred from community hospitals without a CT scanner (non-Bern/-CT patients), and 210 minutes for patients from hospitals with imaging facilities (non-Bern/+CT patients). The mean delay from symptom onset to treatment was 234 minutes for Bern patients, 269 minutes for non-Bern/-CT patients, and 302 minutes for non-Bern/+CT patients. The patients from the last group needed longer to receive intra-arterial thrombolysis than did patients who were admitted directly (P=0.002) or who were transferred from a hospital without a CT scanner (P=0.03). CONCLUSIONS: This prospective study indicates that direct referral without prior imaging at community hospitals shortens the time until intra-arterial thrombolysis. In addition, our in-hospital delay preceding intra-arterial thrombolysis is longer than the delays reported for intravenous thrombolysis and indicates potential for improvement.