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Erschienen in: Annals of Nuclear Medicine 6/2018

30.04.2018 | Original Article

Implications of electrocardiographic frontal QRS axis on left ventricular diastolic parameters derived from electrocardiogram-gated myocardial perfusion single photon emission computed tomography

verfasst von: Satoshi Kurisu, Kazuhiro Nitta, Yoji Sumimoto, Hiroki Ikenaga, Ken Ishibashi, Yukihiro Fukuda, Yasuki Kihara

Erschienen in: Annals of Nuclear Medicine | Ausgabe 6/2018

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Abstract

Background

Current electrocardiographic (ECG) machines report various variables including frontal QRS axis automatically. We tested the hypothesis that QRS axis is associated with left ventricular (LV) diastolic parameters derived from ECG-gated myocardial perfusion single photon emission computed tomography (SPECT) independent of myocardial ischemia.

Methods

Ninety-three patients with preserved LV ejection fraction and no evidence of myocardial ischemia were enrolled based on ECG-gated SPECT. Peak filling rate (PFR), one-third mean filling rate (1/3 MFR) and time to peak filling (TTPF) were obtained as LV diastolic parameters.

Results

There were 82 male and 11 female patients with a mean age of 69 ± 9 years. QRS axis ranged from − 40° to 85° (36° ± 31°). QRS axis was correlated with PFR (r = 0.28, p < 0.01), 1/3 MFR (r = 0.25, p = 0.02) and TTPF (r = − 0.21, p = 0.04). QRS axis was also correlated with age (r = − 0.23, p = 0.03), body mass index (BMI) (r = − 0.36, p < 0.01) and LV mass index (LVMI) (r = − 0.27, p < 0.01). Linear regression analysis showed that QRS axis was associated with PFR, 1/3 MFR and TTPF for LV diastolic function, but was not associated with these LV diastolic parameters after adjustment of various confounders.

Conclusions

Our data suggest that QRS axis depends on age, BMI or LVMI, and serves as a surrogate marker of LV diastolic function.
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Metadaten
Titel
Implications of electrocardiographic frontal QRS axis on left ventricular diastolic parameters derived from electrocardiogram-gated myocardial perfusion single photon emission computed tomography
verfasst von
Satoshi Kurisu
Kazuhiro Nitta
Yoji Sumimoto
Hiroki Ikenaga
Ken Ishibashi
Yukihiro Fukuda
Yasuki Kihara
Publikationsdatum
30.04.2018
Verlag
Springer Japan
Erschienen in
Annals of Nuclear Medicine / Ausgabe 6/2018
Print ISSN: 0914-7187
Elektronische ISSN: 1864-6433
DOI
https://doi.org/10.1007/s12149-018-1257-9

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