Aspects of Left Ventricular Morphology Outperform Left Ventricular Mass for Prediction of QRS Duration
(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:
https://lup.lub.lu.se/record/1603981
- author
- Hakacova, Nina ; Steding Ehrenborg, Katarina LU ; Engblom, Henrik LU ; Tufvesson, Jane LU ; Maynard, Charles and Pahlm, Olle LU
- organization
- publishing date
- 2010
- 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
- pmid:20522052
- 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
- 2016-04-01 10:09:37
- date last changed
- 2022-01-25 20:19:54
@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}}, keywords = {{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}}, doi = {{10.1111/j.1542-474X.2010.00352.x}}, volume = {{15}}, year = {{2010}}, }