Diagnostic accuracy of M-mode echocardiography in active infective endocarditis and prognostic implications of ultrasound-detectable vegetations
| Autor: | Randi E Isaacs, Marilyn F. Riley, Patricia C. Come |
|---|---|
| Rok vydání: | 1982 |
| Předmět: |
Adult
Male medicine.medical_specialty medicine.medical_treatment Heart Valve Diseases Diagnostic accuracy Valve replacement Streptococcal Infections Internal medicine medicine Humans Endocarditis Prospective Studies Diagnostic Errors Prospective cohort study Aged business.industry Ultrasound Endocarditis Bacterial Middle Aged Staphylococcal Infections Prognosis medicine.disease Thrombosis Echocardiography Aortic Valve Heart Valve Prosthesis Heart failure Infective endocarditis Cardiology Mitral Valve Female Cardiology and Cardiovascular Medicine business |
| Zdroj: | American Heart Journal. 103:839-847 |
| ISSN: | 0002-8703 |
| DOI: | 10.1016/0002-8703(82)90397-0 |
| Popis: | Sensitivity, specificity, diagnostic accuracy, and prognostic implications of the M-mode echocardiographic pattern of vegetations were examined prospectively in consecutive patients referred with potential active infective endocarditis (IE). A pattern of definite echo vegetations was present in 37% of 51 patients diagnosed clinically to have active IE. Specificity in 138 patients without IE was 96%. Diagnostic accuracy of a positive test was 76% and that of a negative test was 80%. Five of six false positive studies involved patients with prior IE or valvular thrombosis. If possible echo vegetations were included, sensitivity increased to 47% and specificity decreased to 89%. Echographic vegetations were significantly correlated with congestive heart failure and need for valve replacement and/or death. Seven of eight patients with definite aortic valve vegetations died or required surgery, compared with 1 of 11 patients with mitral or tricuspid vegetations alone. Prognostic importance of echocardiographically documented vegetations appears to depend upon their site within the heart. |
| Databáze: | OpenAIRE |
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