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October 1, 1979Circulation108 citationsOpen Access

Comparison of M-mode and cross-sectional echocardiography in infective endocarditis.

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LWL. Samüel WannCHClifford C. HallamJDJames C. Dillon

Key Result

Cross-sectional and M-mode echocardiography identified vegetations in 82.6% and 78.3% of patients with infective endocarditis, respectively, but vegetation features did not predict clinical events.

Study Design

Type

Cross-Sectional (n=23)

Structured PICO

Does cross-sectional echocardiography improve the identification of vegetations compared to M-mode echocardiography in patients with infective endocarditis?

P
Population
23 consecutive patients with infective endocarditis
I
Intervention
Cross-sectional echocardiography
C
Comparator
M-mode echocardiography
O
Outcome
Identification of vegetationssurrogate

Cross-sectional echocardiography provides similar diagnostic yield to M-mode for detecting vegetations in infective endocarditis, but vegetation characteristics do not predict clinical complications.

Main Result

Absolute Event Rate: 82.6% vs 78.3%

Abstract

Cross-sectional and M-mode echocardiograms were performed on 23 consecutive patients with infective endocarditis. Both M-mode and cross-sectional echocardiography identified vegetations in 18 patients, 10 of whom required valve replacement within 1 month of presentation. Cross-sectional echocardiography alone identified a vegetation in one patient with a prosthetic valve. Neither technique identified vegetations in five instances. The size and shape of a vegetation on cross-sectional echocardiography did not accurately predict the need for early valve replacement of the incidence of major peripheral emboli.

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Cite This Study

Wann et al. (1979) conducted a cross-sectional in infective endocarditis (n=23). Cross-sectional echocardiography vs. M-mode echocardiography was evaluated on Identification of vegetations. Cross-sectional and M-mode echocardiography identified vegetations in 82.6% and 78.3% of patients with infective endocarditis, respectively, but vegetation features did not predict clinical events.

synapsesocial.com/papers/6a0e4d74b60a7411ea891204https://doi.org/10.1161/01.cir.60.4.728
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