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J Am Coll Cardiol, 2004; 43:410-415, doi:10.1016/j.jacc.2003.08.043 © 2004 by the American College of Cardiology Foundation |



* Division of Cardiology, Department of Medicine, Baltimore, Maryland, USA
Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
Department of Biostatistics, Johns Hopkins School of Public Health and Hygiene, Baltimore, Maryland, USA
Manuscript received April 30, 2003; revised manuscript received August 21, 2003, accepted August 25, 2003.
* Reprint requests and correspondence: Dr. Edward K. Kasper, Chief of Cardiology, Johns Hopkins Bayview Medical Center, 4940 Eastern Avenue, Baltimore, Maryland 212242780., USA
ekasper{at}jhmi.edu
OBJECTIVES: This study analyzed the utility of electrocardiographic (ECG) and echocardiographic findings in the diagnosis of amyloidosis proven by endomyocardial biopsy.
BACKGROUND: Cardiac amyloidosis is associated with characteristic ECG and echocardiographic changes, yet each finding alone is relatively nonspecific. A combination of noninvasive prognostic parameters would be desirable for this tissue-based diagnosis.
METHODS: We performed an analysis of 196 consecutive patients referred for endomyocardial biopsy because of clinical suspicion of cardiac amyloidosis. The diagnosis was confirmed in 58 patients (29%). The ECGs, echocardiograms, and right heart hemodynamic data were reviewed to determine which findings strongly correlate with the diagnosis. These findings were then used to build multivariate logistic regression models that predict the log-odds of having cardiac amyloidosis.
RESULTS: The univariate analysis showed that low-voltage and pseudo-infarction patterns on the ECG and increased myocardial thickness and speckled-appearing myocardium on the echocardiogram were associated with biopsy-proven cardiac amyloidosis (each p < 0.01). In multivariate logistic regression models, a combination of a low voltage and measures of myocardial thickness produced the most statistically useful models. For instance, one model showed that if a low voltage was present and interventricular septal thickness is >1.98 cm, the diagnosis of cardiac amyloidosis could be made with a sensitivity of 72% and a specificity of 91%. In this model, the positive predictive and negative predictive values were 79% and 88%, respectively.
CONCLUSIONS: In patients with suspected cardiac amyloidosis, a combination of noninvasive parametersnamely, a low voltage and increased intraventricular septal thicknessis a useful diagnostic tool.
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