Spatiotemporal Characteristics of QRS Complexes Enable the Diagnosis of XXXX Regardless of the Appearance of a Type 1 ECG.

@entity1 @entity1789 @entity4375 @entity714
INTRODUCTION: The diagnosis of @entity1789 based on the ECG is hampered by the dynamic nature of its ECG manifestations. @entity1789 @entity1 are only 25% likely to present a type 1 ECG. The objective of this study is to provide an ECG diagnostic criterion for @entity1789 @entity1 that can be applied consistently even in the absence of a type 1 ECG. METHODS AND RESULTS: We recorded 67-lead body surface potential maps from 94 @entity1789 @entity1 and 82 controls (including @entity714 @entity1 and healthy individuals). The spatial propagation direction during the last r' wave and the slope at the end of the QRS complex were measured and compared between @entity1 groups. Receiver-operating characteristic curves were constructed for half of the database to identify optimal cutoff values; sensitivity and specificity for these cutoff values were measured in the other half of the database. A spontaneous type 1 ECG was present in only 30% of @entity4375 @entity1 . An orientation in the sagittal plane<101   during the last r' wave and a descending slope<9.65mV/s enables the diagnosis of the syndrome with a sensitivity of 69% and a specificity of 97% in non-type 1 @entity1789 @entity1 . CONCLUSION: Spatiotemporal characteristics of surface ECG recordings can enable a robust identification of @entity4375 even without the presence of a type 1 ECG. This article is protected by copyright. All rights reserved.
