Cabell C H, Pond K K, Peterson G E, Durack D T, Corey G R, Anderson D J, Ryan T, Lukes A S, Sexton D J
Department of Medicine, Duke University School of Medicine, Duke Clinical Research Institute, Durham, NC, USA.
Am Heart J. 2001 Jul;142(1):75-80. doi: 10.1067/mhj.2001.115790.
Previous studies have generated inconsistent results when attempting to define predictors of stroke and death in patients with endocarditis. We sought to examine the relationship between vegetation 2-dimensional size and stroke in those with infective endocarditis (IE) and to identify differences between aortic valve (AV) and mitral valve (MV) IE with regard to clinical characteristics, echocardiographic findings, stroke, and death.
We used the Duke Endocarditis Database to examine 145 episodes of definite IE involving the AV, n = 62, or MV, n = 83. A logistic regression model was developed to analyze important variables in predicting stroke, and a Cox proportional hazards model was used in predicting mortality.
The mitral valve was infected in 57% of the cases. Vegetations were more commonly detected in patients with MV IE (92.8% vs 66.1%, P =.001) and these MV vegetations were significantly larger (P <.05). Thirty-four of 145 episodes (23.4%) were complicated by stroke. MV IE was associated with a greater stroke rate, 32.5% versus 11.3% (P =.003). Strokes tended to occur early in the course of illness, particularly in MV IE. In the multivariable model, the independent predictors of stroke were MV IE (P =.04) and vegetation length (P =.03). Independent predictors of 1-year mortality were age (P =.02) and vegetation area (P =.048).
Stroke is more common in patients with MV IE. Vegetation 2-dimensional size and characteristics are important predictors of stroke and mortality. These findings may lead to predictive models that allow physicians to identify high-risk patients who need aggressive treatment strategies to prevent long-term morbidity and mortality.
以往研究在试图确定心内膜炎患者中风和死亡的预测因素时,得出的结果并不一致。我们旨在研究感染性心内膜炎(IE)患者赘生物二维大小与中风之间的关系,并确定主动脉瓣(AV)心内膜炎和二尖瓣(MV)心内膜炎在临床特征、超声心动图表现、中风及死亡方面的差异。
我们使用杜克心内膜炎数据库,研究了145例确诊的IE发作病例,其中累及AV的有62例,累及MV的有83例。建立逻辑回归模型分析预测中风的重要变量,并使用Cox比例风险模型预测死亡率。
57%的病例二尖瓣受到感染。MV心内膜炎患者中更常检测到赘生物(92.8%对66.1%,P = 0.001),且这些MV赘生物明显更大(P < 0.05)。145次发作中有34次(23.4%)并发中风。MV心内膜炎的中风发生率更高,为32.5%,而AV心内膜炎为11.3%(P = 0.003)。中风往往在疾病过程早期发生,尤其是在MV心内膜炎患者中。在多变量模型中,中风的独立预测因素是MV心内膜炎(P = 0.04)和赘生物长度(P = 0.03)。1年死亡率的独立预测因素是年龄(P = 0.02)和赘生物面积(P = 0.048)。
中风在MV心内膜炎患者中更常见。赘生物的二维大小和特征是中风和死亡率的重要预测因素。这些发现可能会带来预测模型,使医生能够识别需要积极治疗策略以预防长期发病和死亡的高危患者。