Background Previous studies have generated inconsistent results when attemp
ting to define predictors of stroke and death in patients with endocarditis
. We sought to examine the relationship between vegetation 2-dimensional si
ze and stroke in those with infective endocarditis (IE) and to identify dif
ferences between aortic valve (AV) and mitral valve (MV) IE with regard to
clinical characteristics, echocardiographic findings, stroke, and death.
Methods We used the Duke Endocarditis Database to examine 145 episodes of d
efinite IE involving the AV, n = 62, or MV, n = 83, A logistic regression m
odel was developed to analyze important variables in predicting stroke, and
a Cox proportional hazards model was used in predicting mortality.
Results 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) a
nd 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 occ
ur early in the course of illness, particularly in MV IE, In the multivaria
ble model, the independent predictors of stroke were MV IE (P =.04) and veg
etation length (P =.03). Independent predictors of 1-year mortality were ag
e (P =.02) and vegetation area (P =.048).
Conclusion stroke is more common in patients with MV IE. Vegetation 2-dimen
sional size and characteristics are important predictors of stroke and mort
ality. These findings may lead to predictive models that allow physicians t
o identify high-risk patients who need aggressive treatment strategies to p
revent long-term morbidity and mortality.