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Individualized corrected QT interval is superior to QT interval corrected using the Bazett formula in predicting mutation carriage in families with long QT syndrome.
- Source :
-
Heart rhythm [Heart Rhythm] 2017 Mar; Vol. 14 (3), pp. 376-382. - Publication Year :
- 2017
-
Abstract
- Background: Long QT syndrome (LQTS) is characterized by reduced penetrance and variable QT prolongation over time, resulting in an estimate of 25% carriers of a pathogenic mutation with a normal corrected QT (QTc) interval on the resting electrocardiogram (ECG).<br />Objective: The purpose of this study was to test the hypothesis that an individualized corrected QT interval derived from 24-hour Holter data more accurately predicts carriage of a pathogenic LQTS mutation than did QT derived from a standard 12-lead ECG and corrected using the Bazett formula (QTc interval).<br />Methods: Carriers of a pathogenic LQTS mutation and their genotype-negative family members who had both resting ECG and Holter recordings available were included. Automated and manual measurements of QTc were performed. QTi was derived from 24-hour Holter recordings and defined as the QT value at the intersection of an RR interval of 1000 ms, with the linear regression line fitted through QT-RR data points of each individual patient.<br />Results: In total, 69 patients with LQTS (23 long QT type 1, 39 long QT type 2, and 7 long QT type 3) and 55 controls were selected. Demographic characteristics were comparable. A comparison of the receiver operating characteristic curves indicates that the test added diagnostic value compared to manual measurement (P = .02) or automated measurement (P = .005). The diagnostic accuracy of manually measured QTc using conventional cutoff criteria was 72%, while it was 92% using a sex-independent QTi cutoff of 445 ms. This was caused by a 39% increase in sensitivity without compromising the specificity.<br />Conclusion: QTi derived from Holter recordings is superior to conventional QTc measured from a standard 12-lead ECG in predicting the mutation carrier state in families with LQTS.<br /> (Copyright © 2016 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Adult
Female
Genotype
Heart Rate
Humans
Male
Middle Aged
Mutation
Observer Variation
Patient-Specific Modeling
Quality Improvement
ROC Curve
Reproducibility of Results
Dimensional Measurement Accuracy
Electrocardiography, Ambulatory methods
Long QT Syndrome diagnosis
Long QT Syndrome genetics
Long QT Syndrome physiopathology
Subjects
Details
- Language :
- English
- ISSN :
- 1556-3871
- Volume :
- 14
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Heart rhythm
- Publication Type :
- Academic Journal
- Accession number :
- 28212739
- Full Text :
- https://doi.org/10.1016/j.hrthm.2016.11.034