BACKGROUND: Abnormal prolongation in the QT interval or long QT syndrome (LQTS) is associated with several cardiac complications such as sudden infant death syndrome (SIDS). LQTS is believed to be linked to genetic mutations which can be understood by using animal models, such as mice models. Nevertheless, the research related to fetal QT interval in mice is still limited because of challenges associated with T wave measurements in fetal electrocardiogram (fECG). Reliable measurement of T waves is essential for estimating their end timings for QT interval assessment. RESULTS: A mathematical model was used to estimate QT intervals. Estimated QT intervals were validated with Q-aortic closure (Q-Ac) intervals of Doppler ultrasound (DUS) and comparison between both showed good agreement with a correlation coefficient higher than 0.88 (r > 0.88, P < 0.05). CONCLUSION: Model-based estimation of QT intervals can help in better understanding of QT intervals in fetal mice.
BACKGROUND: Abnormal prolongation in the QT interval or long QT syndrome (LQTS) is associated with several cardiac complications such as sudden infant death syndrome (SIDS). LQTS is believed to be linked to genetic mutations which can be understood by using animal models, such as mice models. Nevertheless, the research related to fetal QT interval in mice is still limited because of challenges associated with T wave measurements in fetal electrocardiogram (fECG). Reliable measurement of T waves is essential for estimating their end timings for QT interval assessment. RESULTS: A mathematical model was used to estimate QT intervals. Estimated QT intervals were validated with Q-aortic closure (Q-Ac) intervals of Doppler ultrasound (DUS) and comparison between both showed good agreement with a correlation coefficient higher than 0.88 (r > 0.88, P < 0.05). CONCLUSION: Model-based estimation of QT intervals can help in better understanding of QT intervals in fetal mice.
Authors: Fabian Kording; Bjoern Schoennagel; Gunnar Lund; Friedrich Ueberle; Caroline Jung; Gerhard Adam; Jin Yamamura Journal: Magn Reson Med Date: 2014-10-30 Impact factor: 4.668
Authors: Ian Topilski; Ori Rogowski; Rafael Rosso; Dan Justo; Yitschak Copperman; Michael Glikson; Bernard Belhassen; Marek Hochenberg; Sami Viskin Journal: J Am Coll Cardiol Date: 2007-01-04 Impact factor: 24.094
Authors: P J Schwartz; M Stramba-Badiale; A Segantini; P Austoni; G Bosi; R Giorgetti; F Grancini; E D Marni; F Perticone; D Rosti; P Salice Journal: N Engl J Med Date: 1998-06-11 Impact factor: 91.245