Aspects of Left Ventricular Morphology Outperform Left Ventricular Mass for Prediction of QRS Duration

作者：Hakacova Nina; Steding Katarina; Engblom Henrik; Sjoegren Jane; Maynard Charles; Pahlm Olle^*

来源：Annals of Noninvasive Electrocardiology, 2010, 15(2): 124-129.

DOI：10.1111/j.1542-474X.2010.00352.x

• QRS duration
• prediction
• papillary muscles

Methods: The study population of healthy adult volunteers was divided into a sample for development of a prediction model (n = 63) and a testing sample (n = 30). Magnetic resonance imaging data were used to assess anatomical characteristics of the left ventricle: the angle between papillary muscles (PM(A)), the length of the left ventricle (LV(L)) and left ventricular mass (LV(M)). Twelve-lead electrocardiogram (ECG) was used for measurement of the QRS duration. Multiple linear regression analysis was used to develop a prediction model to estimate the QRS duration. The accuracy of the prediction model was assessed by comparing predicted with measured QRS duration in the test set.
Results: The angle between PM(A) and the length of the LV(L) were statistically significant predictors of QRS duration. Correlation between QRS duration and PM(A) and LV(L) was r = 0.57, P = 0.0001 and r = 0.45, P = 0.0002, respectively. The final model for prediction of the QRS was: QRS(Predicted) = 97 + (0.35 x LV(L)) - (0.45 x PM(A)). The predicted and real QRS duration differed with median 1 ms.
Conclusions: The model for prediction of QRS duration opens the ability to predict case-specific normal QRS duration. This knowledge can have clinical importance, when determining the normality on case-specific basis.
Ann Noninvasive Electrocardiol 2010;15(2):124-129.

• 出版日期2010-4