OBJECTIVE: Antiplatelets are recommended for secondary prevention in patients with cryptogenic stroke; however, some patients may present with a cardioembolic source that has not been detected, which may modify the treatment. Because high pro-brain natriuretic peptide (BNP) levels are associated with cardioembolic stroke, our objective was to determine whether pro-BNP levels in the acute phase of stroke predict the development of atrial fibrillation (AF) in patients with cryptogenic stroke. METHODS: A prospective study including patients with cryptogenic stroke was conducted. Demographic data, medical history, and stroke characteristics were assessed at admission. A blood sample was obtained within the first 24 hours from stroke onset to determine pro-BNP levels. Patients were followed by a neurologist at 3 and 6 months and later by a primary care physician for 2 years to evaluate the development of AF. RESULTS: One thousand fifty patients with ischemic stroke were evaluated. Three hundred seventy-two patients (35%) had cryptogenic stroke. One hundred eight patients were excluded from the study, so 264 patients were valid for the analysis. AF was detected in 15 patients (5.6%) during the follow-up. Patients who developed AF were older, had hypertension more frequently, and showed higher levels of pro-BNP. In the logistic regression model, we found that pro-BNP ≥360 pg/mL was the only variable independently associated with the risk of developing AF (odds ratio 5.70, 95% confidence interval 1.11-29.29, p = 0.037). CONCLUSIONS: Pro-BNP ≥360 pg/mL increases by 5-fold the possibility of detecting AF during follow-up in patients with cryptogenic stroke.
OBJECTIVE: Antiplatelets are recommended for secondary prevention in patients with cryptogenic stroke; however, some patients may present with a cardioembolic source that has not been detected, which may modify the treatment. Because high pro-brain natriuretic peptide (BNP) levels are associated with cardioembolic stroke, our objective was to determine whether pro-BNP levels in the acute phase of stroke predict the development of atrial fibrillation (AF) in patients with cryptogenic stroke. METHODS: A prospective study including patients with cryptogenic stroke was conducted. Demographic data, medical history, and stroke characteristics were assessed at admission. A blood sample was obtained within the first 24 hours from stroke onset to determine pro-BNP levels. Patients were followed by a neurologist at 3 and 6 months and later by a primary care physician for 2 years to evaluate the development of AF. RESULTS: One thousand fifty patients with ischemic stroke were evaluated. Three hundred seventy-two patients (35%) had cryptogenic stroke. One hundred eight patients were excluded from the study, so 264 patients were valid for the analysis. AF was detected in 15 patients (5.6%) during the follow-up. Patients who developed AF were older, had hypertension more frequently, and showed higher levels of pro-BNP. In the logistic regression model, we found that pro-BNP ≥360 pg/mL was the only variable independently associated with the risk of developing AF (odds ratio 5.70, 95% confidence interval 1.11-29.29, p = 0.037). CONCLUSIONS: Pro-BNP ≥360 pg/mL increases by 5-fold the possibility of detecting AF during follow-up in patients with cryptogenic stroke.
Authors: Karl Georg Haeusler; Klaus Gröschel; Martin Köhrmann; Stefan D Anker; Johannes Brachmann; Michael Böhm; Hans-Christoph Diener; Wolfram Doehner; Matthias Endres; Christian Gerloff; Hagen B Huttner; Manfred Kaps; Paulus Kirchhof; Darius Günther Nabavi; Christian H Nolte; Waltraud Pfeilschifter; Burkert Pieske; Sven Poli; Wolf Rüdiger Schäbitz; Götz Thomalla; Roland Veltkamp; Thorsten Steiner; Ulrich Laufs; Joachim Röther; Rolf Wachter; Renate Schnabel Journal: Clin Res Cardiol Date: 2018-04-27 Impact factor: 5.460
Authors: Shadi Yaghi; Amelia K Boehme; Rebecca Hazan; Eldad A Hod; Alberto Canaan; Howard F Andrews; Hooman Kamel; Randolph S Marshall; Mitchell S V Elkind Journal: J Stroke Cerebrovasc Dis Date: 2015-10-21 Impact factor: 2.136
Authors: Vincent N Thijs; Johannes Brachmann; Carlos A Morillo; Rod S Passman; Tommaso Sanna; Richard A Bernstein; Hans-Christoph Diener; Vincenzo Di Lazzaro; Marilyn M Rymer; Laurence Hogge; Tyson B Rogers; Paul D Ziegler; Manish D Assar Journal: Neurology Date: 2015-12-18 Impact factor: 9.910
Authors: Mikko Taina; Petri Sipola; Antti Muuronen; Marja Hedman; Pirjo Mustonen; Anne-Mari Kantanen; Pekka Jäkälä; Ritva Vanninen Journal: PLoS One Date: 2014-03-04 Impact factor: 3.240