BACKGROUND: Elevated levels of B-type natriuretic peptide (BNP) have been associated with cardiac dysfunction and adverse neurological outcomes after subarachnoid hemorrhage (SAH). We sought to determine whether elevated levels of BNP are independently associated with radiographic cerebral infarction after SAH. METHODS: Plasma BNP levels were measured after admission, a mean of 5.5 ± 3.0 days after SAH onset. Cerebral infarction was determined by retrospective review of computerized tomography (CT) scans. Cerebral vasospasm was confirmed by the presence of vascular narrowing on cerebral angiogram. The association between BNP and cerebral infarction was quantified using multivariable logistic regression and reverse stepwise elimination of clinical covariates. A stratified analysis was performed to quantify the association between BNP levels and infarction in patients with and without angiographic vasospasm. RESULTS: BNP levels were measured from 119 subjects. The median BNP level was 105 pg/ml (interquartile range 37-275 pg/ml). In our multivariable model, the top quartile of BNP levels (≥ 276 pg/ml) were associated with an increased odds of cerebral infarction (OR 4.2, P = 0.009). The stratified analysis showed that the association between BNP and infarction was strongest in patients without angiographic vasospasm (OR 7.8, P = 0.006). CONCLUSIONS: Elevated levels of BNP are strongly and independently associated with cerebral infarction, and the association is most pronounced in patients without angiographic vasospasm. These results provide further evidence that other mechanisms can contribute to infarction, and BNP may be a useful biomarker in detecting patients at risk for adverse outcomes without large vessel vasospasm.
BACKGROUND: Elevated levels of B-type natriuretic peptide (BNP) have been associated with cardiac dysfunction and adverse neurological outcomes after subarachnoid hemorrhage (SAH). We sought to determine whether elevated levels of BNP are independently associated with radiographic cerebral infarction after SAH. METHODS: Plasma BNP levels were measured after admission, a mean of 5.5 ± 3.0 days after SAH onset. Cerebral infarction was determined by retrospective review of computerized tomography (CT) scans. Cerebral vasospasm was confirmed by the presence of vascular narrowing on cerebral angiogram. The association between BNP and cerebral infarction was quantified using multivariable logistic regression and reverse stepwise elimination of clinical covariates. A stratified analysis was performed to quantify the association between BNP levels and infarction in patients with and without angiographic vasospasm. RESULTS:BNP levels were measured from 119 subjects. The median BNP level was 105 pg/ml (interquartile range 37-275 pg/ml). In our multivariable model, the top quartile of BNP levels (≥ 276 pg/ml) were associated with an increased odds of cerebral infarction (OR 4.2, P = 0.009). The stratified analysis showed that the association between BNP and infarction was strongest in patients without angiographic vasospasm (OR 7.8, P = 0.006). CONCLUSIONS: Elevated levels of BNP are strongly and independently associated with cerebral infarction, and the association is most pronounced in patients without angiographic vasospasm. These results provide further evidence that other mechanisms can contribute to infarction, and BNP may be a useful biomarker in detecting patients at risk for adverse outcomes without large vessel vasospasm.
Authors: R Webster Crowley; R Medel; Aaron S Dumont; Don Ilodigwe; Neal F Kassell; Stephan A Mayer; Daniel Ruefenacht; Peter Schmiedek; Stephan Weidauer; Alberto Pasqualin; R Loch Macdonald Journal: Stroke Date: 2011-02-24 Impact factor: 7.914
Authors: Poyee Tung; Alexander Kopelnik; Nader Banki; Ken Ong; Nerissa Ko; Michael T Lawton; Daryl Gress; Barbara Drew; Elyse Foster; William Parmley; Jonathan Zaroff Journal: Stroke Date: 2004-01-22 Impact factor: 7.914
Authors: Matthew J McGirt; Robert Blessing; Shahid M Nimjee; Allan H Friedman; Michael J Alexander; Daniel T Laskowitz; John R Lynch Journal: Neurosurgery Date: 2004-06 Impact factor: 4.654
Authors: Alejandro A Rabinstein; Jonathan A Friedman; Stephen D Weigand; Robyn L McClelland; Jimmy R Fulgham; Edward M Manno; John L D Atkinson; Eelco F M Wijdicks Journal: Stroke Date: 2004-06-24 Impact factor: 7.914
Authors: Brad E Zacharia; Andrew F Ducruet; Zachary L Hickman; Bartosz T Grobelny; Luis Fernandez; J Michael Schmidt; Reshma Narula; Lauren N Ko; Margot E Cohen; Stephan A Mayer; E Sander Connolly Journal: Stroke Date: 2009-05-21 Impact factor: 7.914
Authors: Amber McAteer; Marilyn Hravnak; Yuefang Chang; Elizabeth A Crago; Matthew J Gallek; Khalil M Yousef Journal: Biol Res Nurs Date: 2017-06-19 Impact factor: 2.522
Authors: Caron M Hong; Cigdem Tosun; David B Kurland; Volodymyr Gerzanich; David Schreibman; J Marc Simard Journal: Biomarkers Date: 2014-02-05 Impact factor: 2.658