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Mitral valve endocarditis typically results in mitral regurgitation. However, endocarditis leading to functional mitral stenosis is uncommon and, when present, fungal organisms are typically implicated. Thus, obstructive-type bacterial endocarditis due to large vegetations blocking the mitral valve orifice is a rare occurrence, with approximately 20 reported cases in the literature. We report on two patients with bacterial endocarditis and severe functional mitral stenosis requiring emergent surgery. Additionally, this is the first report of vancomycin-resistant enterococcus causing endocarditis and functional mitral stenosis. The discussion emphasizes the hemodynamic instability of these patients and need for early surgical intervention.

Identification of thrombus-related mechanical prosthetic valve dysfunction (MPVD) has important therapeutic implications. We sought to develop an algorithm, combining clinical and echocardiographic parameters, for prediction of thrombus-related MPVD in a series of 53 patients (24 men, age 52 +/- 16 years) who had intraoperative diagnosis of thrombus or pannus from 1992 to 1997. Clinical and echocardiographic parameters were analyzed to identify predictors of thrombus and pannus. Prevalence of thrombus and diagnostic yields relative to the number of predictors were determined. There were 22 patients with thrombus, 19 patients with pannus, and 12 patients with both. Forty-two of 53 masses were visualized using transesophageal echocardiography (TEE), including 29 of 34 thrombi or both thrombi and panni and 13 of 19 isolated panni. Predictors of thrombus or mixed presentation include mobile mass (p = 0.009), attachment to occluder (p = 0.02), elevated gradients (p = 0.04), and an international normalized ratio ofor = 2.5 (p = 0.03). All 34 patients with thrombus or mixed presentation hador = 1 predictor. The prevalence of thrombus in the presence ofor = 1, 2, andor = 3 predictors is 14%, 69%, and 91%, respectively. Thus, TEE is sensitive in the identification of abnormal mass in the setting of MPVD. An algorithm based on clinical and transesophageal echocardiographic predictors may be useful to estimate the likelihood of thrombus in the setting of MPVD. In the presence ofor = 3 predictors, the probability of thrombus is high.

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