心電図測定によるリポラライゼーション分散の推定値
M S Fuller1, G Sándor, B Punske
1Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah School of Medicine, Salt Lake City, Utah 84112-5000, USA. fuller@cvrti.utah.edu
Circulation
|August 10, 2000
まとめ
新しい平方根平均 (RMS) 曲線法では,体表面EKGから再偏振分散 (Rd) を正確に推定します. このRMS方法は,心臓異常を予測するために一般的に使用されるQT分散 (QTd) よりも優れています.
科学分野:
- 心臓病学 心臓病学
- バイオメディカルエンジニアリング
- 電気生理学 電気生理学
背景:
- リポラライゼーション分散 (Rd) は心臓異常の認識された予測因子です.
- Rdを測定する現在の方法には限界があります.
研究 の 目的:
- Rd.を測定するための新しい平方根平均 (RMS) 曲線法を導入し,検証する.
- 伝統的なQT分散 (QTd) 測定とRMSメソッドのパフォーマンスを比較する.
主な方法:
- 犬の心臓からの表心電図と体表面EKGの同時記録.
- 様々なリードセット (エピカルディア,体表面,プレコルディア,最適) からRMS曲線の導出.
- サイクル長,温度,およびアクティベーションシーケンスを操作することによってリポラライゼーションの変化.
主要な成果:
- RMS曲線のT波幅は,直接測定されたRdと高い相関関係を示した (表心部:0.91,体表面:0.84).
- QTdはすべてのリードセットでRdとの相関が悪いことを示した (上心部:0.46,体表面:0.47,前心部:0.17,最適:0.11).
結論:
- RMS曲線分析は,体表面EKGからRdを推定するための正確な方法を提供します.
- QTd分析は,Rd.の不適切な推定を提供している.
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