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  • Advanced electrocardiographic parameters change with severity of mitral regurgitation in cavalier king charles spaniels in sinus rhythm
    Špiljak, Maja ...
    Background: Multiple advanced resting ECG (A-ECG) techniques have improved thediagnostic or prognostic value of ECG in detecting human cardiac diseases even before onset of clinical signs or changes ... in conventional ECG. Objective:To determine which A-ECG parameters, derived from 12-lead A-ECG recordings, change with severity of mitral regurgitation (MR) caused by myxomatous mitral valve disease (MMVD) in Cavalier King Charles Spaniels (CKCSs) in sinus rhythm. ANIMALS: Seventy-six privately owned CKCSs. Methods: Dogs were prospectively divided into 5 groups according to the degree of MR (estimated by color Doppler mapping as the percentage of the left atrial area affected by the MR jet) and presence of clinical signs. High fidelity approximately 5-minute 12-lead ECG recordings were evaluated using custom software to calculate multiple conventional and A-ECG parameters. Results: Nineteen of 76 ECG parameters were significantly different (P < .05) across the 5 dog groups. A 4-parameter model that incorporated results from 1 parameter of heart rate variability, 2 parameters of QT variability, and 1 parameter of QRS amplitude was identified that explained 82.4% of the variancewith a correlation coefficient (R) of 0.60 (P < .01). When age or murmur grade was included in the statistical model the prediction value further increased the R to 0.74 and 0.85 (P < .01), respectively. Conclusion: In CKCSs with sinus rhythm, 4 selected A-ECG parameters further improve prediction of MR jet severity beyond age and murmur grade, although the predictive increment in this study probably is not sufficient to warrant utilization in clinical veterinary practice.
    Source: Journal of veterinary internal medicine. - ISSN 0891-6640 (Vol. 26, issue 1, 2012, str. 93-100)
    Type of material - article, component part
    Publish date - 2012
    Language - english
    COBISS.SI-ID - 29374937
    DOI

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