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      Prediction of thrombus-related mechanical prosthetic valve dysfunction using transesophageal echocardiography

      , , , , ,
      The American Journal of Cardiology
      Elsevier BV

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          Abstract

          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 of < or = 2.5 (p = 0.03). All 34 patients with thrombus or mixed presentation had > or = 1 predictor. The prevalence of thrombus in the presence of < or = 1, 2, and > or = 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 of > or = 3 predictors, the probability of thrombus is high.

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          Author and article information

          Journal
          The American Journal of Cardiology
          The American Journal of Cardiology
          Elsevier BV
          00029149
          November 2000
          November 2000
          : 86
          : 10
          : 1097-1101
          Article
          10.1016/S0002-9149(00)01166-8
          11074206
          e6e0f8a0-e752-401f-b05c-6b97bee3c033
          © 2000

          https://www.elsevier.com/tdm/userlicense/1.0/

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