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

Hakacova, Nina; Steding Ehrenborg, Katarina LU ; Engblom, Henrik LU ; Tufvesson, Jane LU ; Maynard, Charles and Pahlm, Olle LU (2010) In Annals of Noninvasive Electrocardiology 15(2). p.124-129
Abstract
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 (PMA), the length of the left ventricle (LVL) and left ventricular mass (LVM). 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 PMA and the length of the LVL were... (More)
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 (PMA), the length of the left ventricle (LVL) and left ventricular mass (LVM). 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 PMA and the length of the LVL were statistically significant predictors of QRS duration. Correlation between QRS duration and PMA and LVL 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 LVL) - (0.45 x PMA). 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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
papillary muscles, QRS duration, prediction
in
Annals of Noninvasive Electrocardiology
volume
15
issue
2
pages
124 - 129
publisher
Wiley-Blackwell
external identifiers
  • wos:000276601400005
  • pmid:20522052
  • scopus:77950885873
ISSN
1082-720X
DOI
10.1111/j.1542-474X.2010.00352.x
language
English
LU publication?
yes
id
7d4a6245-955e-4527-809f-5c50c204dbdd (old id 1603981)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/20522052?dopt=Abstract
date added to LUP
2010-05-18 15:52:20
date last changed
2018-05-29 09:44:04
@article{7d4a6245-955e-4527-809f-5c50c204dbdd,
  abstract     = {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 (PMA), the length of the left ventricle (LVL) and left ventricular mass (LVM). 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 PMA and the length of the LVL were statistically significant predictors of QRS duration. Correlation between QRS duration and PMA and LVL 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 LVL) - (0.45 x PMA). 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.},
  author       = {Hakacova, Nina and Steding Ehrenborg, Katarina and Engblom, Henrik and Tufvesson, Jane and Maynard, Charles and Pahlm, Olle},
  issn         = {1082-720X},
  keyword      = {papillary muscles,QRS duration,prediction},
  language     = {eng},
  number       = {2},
  pages        = {124--129},
  publisher    = {Wiley-Blackwell},
  series       = {Annals of Noninvasive Electrocardiology},
  title        = {Aspects of Left Ventricular Morphology Outperform Left Ventricular Mass for Prediction of QRS Duration},
  url          = {http://dx.doi.org/10.1111/j.1542-474X.2010.00352.x},
  volume       = {15},
  year         = {2010},
}