The relationship between the plasma level of brain natriuretic peptide and prognosis in patients with first-ever acute cerebral infarction
10.3760/cma.j.issn.1673-4165.2009.04.004
- VernacularTitle:血浆脑钠肽水平与首发急性脑梗死预后的关系
- Author:
Haibin ZHOU
;
Yunfeng GAO
;
Shuxin FANG
- Publication Type:Journal Article
- Keywords:
natriuretic peptide,brain;
cerebral infarction;
prognosis
- From:
International Journal of Cerebrovascular Diseases
2009;17(4):284-287
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the prognostic value of plasma brain natriuretic peptide (BNP) in patients with acute cerebral infarction. Methods Sixty-five patients with first-ever acute cerebral infarction and 32 healthy controls were recruited. The neurological deficits in patients with cerebral infarction were evaluated by using Chinese Stroke Scale (CSS).Plasma BNP levels were detected by immunofluorescence technique. Death and recurrent stroke events were followed up. Plasma BNP levels were compared between an event group and a non-event group, and the relationship between plasma BNP levels and poor prognosis was analyzed.Results Plasma BNP levels in patients with acute cerebral infarction was significantly higher than those in healthy controls (238.7 ± 131.6 pg/ml vs 38.7±23.8 pg/ml, P <0.01). Nine patients (13.8%) died, and 8 (12.3%) had nonfatal recurrent stroke during the follow-up period. Compared to the non-event group, the baseline plasma BNP levels in the death/recurrent stroke event group were significantly higher (304.0 ± 134.9 pg/ml vs 214.4 ± 120.9 pg/ml,P < 0.01). There was significant correlation between plasma BNP levels and CSS scores (r = -0.359, P <0.05). After performing multivariate analysis of various risk factors, it found that BNP levels (OR = 3.5, 95 % CI 2.1 to 5.8, P < 0.01), advanced age (OR = 4.1,95% CI 1.7 to 9.2, P <0.01) and CSS scores (OR =2.6, 95% CI 1.6 to 4.3, P <0.01)were the independent predictors of poor outcome. Conclusions The increased BNP levels are the recent death and recurrent independent predictors in patients with acute cerebral infarction.
