Details

Autor(en) / Beteiligte

• LI ZHANG
• TIMOTHY, Katherine W
• YANOWITZ, Frank
• BENHORIN, Jesaia
• MOSS, Arthur J
• SCHWARTZ, Peter J
• ROBINSON, Jennifer L
• QING WANG
• ZAREBA, Wojciech
• KEATING, Mark T
• TOWBIN, Jeffrey A
• NAPOLITANO, Carlo
• VINCENT, G. Michael
• MEDINA, Aharon
• LEHMANN, Michael H
• FOX, Jolene
• GIULI, Lisa C
• JIAXIANG SHEN
• SPLAWSKI, Igor
• PRIORI, Silvia G
• COMPTON, Steven J

Titel

Spectrum of ST-T-wave patterns and repolarization parameters in congenital long-QT syndrome : ECG findings identify genotypes

Ist Teil von

• Circulation (New York, N.Y.), 2000-12, Vol.102 (23), p.2849-2855

Ort / Verlag

Hagerstown, MD: Lippincott Williams & Wilkins

Erscheinungsjahr

2000

Quelle

MEDLINE

Beschreibungen/Notizen

• Congenital long-QT syndrome (LQTS) is caused by mutations of genes encoding the slow component of the delayed rectifier current (LQT1, LQT5), the rapid component of the delayed rectifier current (LQT2, LQT6), or the Na(+) current (LQT3), resulting in ST-T-wave abnormalities on the ECG. This study evaluated the spectrum of ST-T-wave patterns and repolarization parameters by genotype and determined whether genotype could be identified by ECG. ECGs of 284 gene carriers were studied to determine ST-T-wave patterns, and repolarization parameters were quantified. Genotypes were identified by individual ECG versus family-grouped ECG analysis in separate studies using ECGs of 146 gene carriers from 29 families and 233 members of 127 families undergoing molecular genotyping, respectively. Ten typical ST-T patterns (4 LQT1, 4 LQT2, and 2 LQT3) were present in 88% of LQT1 and LQT2 carriers and in 65% of LQT3 carriers. Repolarization parameters also differed by genotype. A combination of quantified repolarization parameters identified genotype with sensitivity/specificity of 85%/70% for LQT1, 83%/94% for LQT2, and 47%/63% for LQT3. Typical patterns in family-grouped ECGs best identified the genotype, being correct in 56 of 56 (21 LQT1, 33 LQT2, and 2 LQT3) families with mutation results. Typical ST-T-wave patterns are present in the majority of genotyped LQTS patients and can be used to identify LQT1, LQT2, and possibly LQT3 genotypes. Family-grouped ECG analysis improves genotype identification accuracy. This approach can simplify genetic screening by targeting the gene for initial study. The multiple ST-T patterns in each genotype raise questions regarding the pathophysiology and regulation of repolarization in LQTS.