Predicting Paroxysmal Atrial Fibrillation in Cerebrovascular Ischemia Using Tissue Doppler Imaging and Speckle Tracking Echocardiography

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Predicting Paroxysmal Atrial Fibrillation in Cerebrovascular Ischemia Using Tissue Doppler Imaging and Speckle Tracking Echocardiography. / Olsen, Flemming Javier; Jørgensen, Peter Godsk; Møgelvang, Rasmus; Jensen, Jan Skov; Hansen, Thomas Fritz; Bech, Jan; Biering-Sorensen, Tor.

In: Journal of Stroke & Cerebrovascular Diseases, Vol. 25, No. 2, 02.2016, p. 350-9.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Olsen, FJ, Jørgensen, PG, Møgelvang, R, Jensen, JS, Hansen, TF, Bech, J & Biering-Sorensen, T 2016, 'Predicting Paroxysmal Atrial Fibrillation in Cerebrovascular Ischemia Using Tissue Doppler Imaging and Speckle Tracking Echocardiography', Journal of Stroke & Cerebrovascular Diseases, vol. 25, no. 2, pp. 350-9. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.10.004

APA

Olsen, F. J., Jørgensen, P. G., Møgelvang, R., Jensen, J. S., Hansen, T. F., Bech, J., & Biering-Sorensen, T. (2016). Predicting Paroxysmal Atrial Fibrillation in Cerebrovascular Ischemia Using Tissue Doppler Imaging and Speckle Tracking Echocardiography. Journal of Stroke & Cerebrovascular Diseases, 25(2), 350-9. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.10.004

Vancouver

Olsen FJ, Jørgensen PG, Møgelvang R, Jensen JS, Hansen TF, Bech J et al. Predicting Paroxysmal Atrial Fibrillation in Cerebrovascular Ischemia Using Tissue Doppler Imaging and Speckle Tracking Echocardiography. Journal of Stroke & Cerebrovascular Diseases. 2016 Feb;25(2):350-9. https://doi.org/10.1016/j.jstrokecerebrovasdis.2015.10.004

Author

Olsen, Flemming Javier ; Jørgensen, Peter Godsk ; Møgelvang, Rasmus ; Jensen, Jan Skov ; Hansen, Thomas Fritz ; Bech, Jan ; Biering-Sorensen, Tor. / Predicting Paroxysmal Atrial Fibrillation in Cerebrovascular Ischemia Using Tissue Doppler Imaging and Speckle Tracking Echocardiography. In: Journal of Stroke & Cerebrovascular Diseases. 2016 ; Vol. 25, No. 2. pp. 350-9.

Bibtex

@article{6ca203ef401e4b8890c1ec5c925f8003,
title = "Predicting Paroxysmal Atrial Fibrillation in Cerebrovascular Ischemia Using Tissue Doppler Imaging and Speckle Tracking Echocardiography",
abstract = "BACKGROUND: Often the underlying cause of cerebral ischemia (CI) cannot be found during a routine diagnostic investigation, but paroxysmal atrial fibrillation (PAF) could be the culprit.AIM: The objective of the study is to investigate whether advanced echocardiography improves the diagnostic approach for PAF in CI.METHODS: The study included 286 CI patients with an echocardiogram in sinus rhythm. Patients were divided by PAF occurrence (PAF: n = 86, non-PAF: n = 200). PAF was defined as 1 or more reported episodes of atrial fibrillation. Echocardiograms consisted of conventional measures, tissue Doppler imaging (TDI), and speckle tracking. TDI was performed to acquire myocardial peak velocities during systole/ventricular contraction (global s'), early diastole/ventricular filling (global e'), and late diastole/atrial contraction (global a'). Speckle tracking was performed for myocardial strain analysis, thereby retrieving global longitudinal strain and global strain rate (s, e, a) values.RESULTS: Patients with PAF exhibited significantly impaired atrial contractile measures: global a' (-7.0 cm/second versus -5.7 cm/second, P < .001) and global strain rate a (.97 second(-1) versus .81 second(-1), P < .001). Both were univariable markers of PAF, and along with age remained the only independent significant determinants of PAF after multivariable logistic regression. Area under the curve (AUC) for age, global a', and global strain rate a significantly exceeded AUC for age alone (.79 versus .76, P = .032). Cutoff values with the highest sensitivity and specificity for these 3 parameters improved the diagnostic accuracy (sensitivity = 97%, specificity = 32%, negative predictive value = 95%, and positive predictive value = 38%).CONCLUSIONS: Atrial contractile measures by advanced echocardiography are significant determinants of PAF in CI. However, there is no discriminatory power to make them clinically useful at the current moment.",
keywords = "Journal Article, Research Support, Non-U.S. Gov't",
author = "Olsen, {Flemming Javier} and J{\o}rgensen, {Peter Godsk} and Rasmus M{\o}gelvang and Jensen, {Jan Skov} and Hansen, {Thomas Fritz} and Jan Bech and Tor Biering-Sorensen",
note = "Copyright {\textcopyright} 2015 National Stroke Association. Published by Elsevier Inc. All rights reserved.",
year = "2016",
month = feb,
doi = "10.1016/j.jstrokecerebrovasdis.2015.10.004",
language = "English",
volume = "25",
pages = "350--9",
journal = "Journal of Stroke & Cerebrovascular Diseases",
issn = "1052-3057",
publisher = "W.B.Saunders Co.",
number = "2",

}

RIS

TY - JOUR

T1 - Predicting Paroxysmal Atrial Fibrillation in Cerebrovascular Ischemia Using Tissue Doppler Imaging and Speckle Tracking Echocardiography

AU - Olsen, Flemming Javier

AU - Jørgensen, Peter Godsk

AU - Møgelvang, Rasmus

AU - Jensen, Jan Skov

AU - Hansen, Thomas Fritz

AU - Bech, Jan

AU - Biering-Sorensen, Tor

N1 - Copyright © 2015 National Stroke Association. Published by Elsevier Inc. All rights reserved.

PY - 2016/2

Y1 - 2016/2

N2 - BACKGROUND: Often the underlying cause of cerebral ischemia (CI) cannot be found during a routine diagnostic investigation, but paroxysmal atrial fibrillation (PAF) could be the culprit.AIM: The objective of the study is to investigate whether advanced echocardiography improves the diagnostic approach for PAF in CI.METHODS: The study included 286 CI patients with an echocardiogram in sinus rhythm. Patients were divided by PAF occurrence (PAF: n = 86, non-PAF: n = 200). PAF was defined as 1 or more reported episodes of atrial fibrillation. Echocardiograms consisted of conventional measures, tissue Doppler imaging (TDI), and speckle tracking. TDI was performed to acquire myocardial peak velocities during systole/ventricular contraction (global s'), early diastole/ventricular filling (global e'), and late diastole/atrial contraction (global a'). Speckle tracking was performed for myocardial strain analysis, thereby retrieving global longitudinal strain and global strain rate (s, e, a) values.RESULTS: Patients with PAF exhibited significantly impaired atrial contractile measures: global a' (-7.0 cm/second versus -5.7 cm/second, P < .001) and global strain rate a (.97 second(-1) versus .81 second(-1), P < .001). Both were univariable markers of PAF, and along with age remained the only independent significant determinants of PAF after multivariable logistic regression. Area under the curve (AUC) for age, global a', and global strain rate a significantly exceeded AUC for age alone (.79 versus .76, P = .032). Cutoff values with the highest sensitivity and specificity for these 3 parameters improved the diagnostic accuracy (sensitivity = 97%, specificity = 32%, negative predictive value = 95%, and positive predictive value = 38%).CONCLUSIONS: Atrial contractile measures by advanced echocardiography are significant determinants of PAF in CI. However, there is no discriminatory power to make them clinically useful at the current moment.

AB - BACKGROUND: Often the underlying cause of cerebral ischemia (CI) cannot be found during a routine diagnostic investigation, but paroxysmal atrial fibrillation (PAF) could be the culprit.AIM: The objective of the study is to investigate whether advanced echocardiography improves the diagnostic approach for PAF in CI.METHODS: The study included 286 CI patients with an echocardiogram in sinus rhythm. Patients were divided by PAF occurrence (PAF: n = 86, non-PAF: n = 200). PAF was defined as 1 or more reported episodes of atrial fibrillation. Echocardiograms consisted of conventional measures, tissue Doppler imaging (TDI), and speckle tracking. TDI was performed to acquire myocardial peak velocities during systole/ventricular contraction (global s'), early diastole/ventricular filling (global e'), and late diastole/atrial contraction (global a'). Speckle tracking was performed for myocardial strain analysis, thereby retrieving global longitudinal strain and global strain rate (s, e, a) values.RESULTS: Patients with PAF exhibited significantly impaired atrial contractile measures: global a' (-7.0 cm/second versus -5.7 cm/second, P < .001) and global strain rate a (.97 second(-1) versus .81 second(-1), P < .001). Both were univariable markers of PAF, and along with age remained the only independent significant determinants of PAF after multivariable logistic regression. Area under the curve (AUC) for age, global a', and global strain rate a significantly exceeded AUC for age alone (.79 versus .76, P = .032). Cutoff values with the highest sensitivity and specificity for these 3 parameters improved the diagnostic accuracy (sensitivity = 97%, specificity = 32%, negative predictive value = 95%, and positive predictive value = 38%).CONCLUSIONS: Atrial contractile measures by advanced echocardiography are significant determinants of PAF in CI. However, there is no discriminatory power to make them clinically useful at the current moment.

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

U2 - 10.1016/j.jstrokecerebrovasdis.2015.10.004

DO - 10.1016/j.jstrokecerebrovasdis.2015.10.004

M3 - Journal article

C2 - 26542824

VL - 25

SP - 350

EP - 359

JO - Journal of Stroke & Cerebrovascular Diseases

JF - Journal of Stroke & Cerebrovascular Diseases

SN - 1052-3057

IS - 2

ER -

ID: 164456224