Key result
A five-feature clinical and echocardiographic model predicts bioprosthetic valve thrombosis with ~85% positive predictive value.
Why the study?
Bioprosthetic valve thrombosis is often unrecognized despite evidence that it responds to vitamin K antagonists, emphasizing the need for reliable diagnostic features and models.
What are the clinical and echocardiographic predictors of bioprosthetic valve thrombosis compared to structural valve failure?
Case-Control (n=138)
No
What are the clinical and echocardiographic predictors of bioprosthetic valve thrombosis compared to structural valve failure?
A combination of clinical and echocardiographic features, including increased gradient, cusp thickness, and abnormal mobility, can reliably diagnose bioprosthetic valve thrombosis and differentiate it from structural valve failure.
Answers are grounded in this paper and cite their sources.
Supports targeted anticoagulation over re-intervention for suspected thrombosis; leaves open prospective validation of imaging criteria.
BACKGROUND: Bioprosthetic valve thrombosis (BPVT) is considered uncommon; this may be related to the fact that it is often unrecognized. Recent data suggest that BPVT responds to vitamin K antagonists, emphasizing the need for reliable diagnosis. OBJECTIVES: This study sought to determine the diagnostic features of BPVT and to formulate a diagnostic model for BPVT. METHODS: Cases of BPVT occurring between 1997 and 2013 were identified from the Mayo Clinic pathology database. Patients with BPVT were matched 1:2 for age, sex, and prosthesis position with patients whose valves were explanted for structural failure. We formulated a diagnostic model for BPVT using multivariate linear logistic regression and receiver operating characteristic. RESULTS: Among 397 consecutive cases of explanted bioprostheses, there were 46 cases of BPVT (11.6%; aortic 29, mitral 9, tricuspid 7, pulmonary 1), mean age was 63 years, and 68% were male. Thirty (65%) cases occurred >12 months post-implantation; median bioprosthetic valve longevity was 24 months (cases) versus 108 months (controls) (p < 0.001). Independent predictors of BPVT were >50% increase in mean echo-Doppler gradient from baseline within 5 years (odds ratio [OR]: 12.7), paroxysmal atrial fibrillation (OR: 5.19), subtherapeutic international normalized ratio (OR: 7.37), increased cusp thickness (OR: 12.2), and abnormal cusp mobility (OR: 6.94). Presence of all 5 diagnostic features was predictive of BPVT with 76% sensitivity, 93% specificity, 85% positive predictive value, and 89% negative predictive value (p < 0.001). CONCLUSIONS: BPVT is not uncommon and can occur several years after surgery. A combination of clinical and echocardiographic features can reliably diagnose BPVT.
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Egbe et al. (2015) conducted a case-control in Bioprosthetic valve thrombosis (n=138). Clinical and echocardiographic diagnostic features vs. Structural valve failure was evaluated on Prediction of bioprosthetic valve thrombosis using a 5-feature diagnostic model (p=<0.001). A combination of 5 clinical and echocardiographic features predicted bioprosthetic valve thrombosis with 76% sensitivity, 93% specificity, and 85% positive predictive value.
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