Individualized QT interval (QTi) is a powerful diagnostic tool in long QT syndrome: results from a large validation study.
LQTS
QTI
holter
individualized QT correction
long QT syndrome
Journal
Frontiers in cardiovascular medicine
ISSN: 2297-055X
Titre abrégé: Front Cardiovasc Med
Pays: Switzerland
ID NLM: 101653388
Informations de publication
Date de publication:
2023
2023
Historique:
received:
13
11
2022
accepted:
25
04
2023
medline:
30
5
2023
pubmed:
30
5
2023
entrez:
30
5
2023
Statut:
epublish
Résumé
Diagnosis of Long QT syndrome (LQTS) is based on prolongation of the QT interval corrected for heart rate (QTc) on surface ECG and genotyping. However, up to 25% of genotype positive patients have a normal QTc interval. We recently showed that individualized QT interval (QTi) derived from 24 h holter data and defined as the QT value at the intersection of an RR interval of 1,000 ms with the linear regression line fitted through QT-RR data points of each individual patient was superior over QTc to predict mutation status in LQTS families. This study aimed to confirm the diagnostic value of QTi, fine-tune its cut-off value and evaluate intra-individual variability in patients with LQTS. From the Telemetric and Holter ECG Warehouse, 201 recordings from control individuals and 393 recordings from 254 LQTS patients were analysed. Cut-off values were obtained from ROC curves and validated against an in house LQTS and control cohort. ROC curves indicated very good discrimination between controls and LQTS patients with QTi, both in females (AUC 0.96) and males (AUC 0.97). Using a gender dependent cut-off of 445 ms in females and 430 ms in males, a sensitivity of 88% and specificity of 96% were achieved, which was confirmed in the validation cohort. No significant intra-individual variability in QTi was observed in 76 LQTS patients for whom at least two holter recordings were available (483 ± 36 ms vs. 489 ± 42 ms, This study confirms our initial findings and supports the use of QTi in the evaluation of LQTS families. Using the novel gender dependent cut-off values, a high diagnostic accuracy was achieved.
Identifiants
pubmed: 37252121
doi: 10.3389/fcvm.2023.1097468
pmc: PMC10213876
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1097468Informations de copyright
© 2023 Robyns, Nuyens, Vandenberk, Haemers, Breckpot, Garweg, Ector and Willems.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The handling editor JE is currently organizing a Research Topic with the author BV.
Références
J Am Coll Cardiol. 2011 Jan 4;57(1):51-9
pubmed: 21185501
J Electrocardiol. 2012 Nov-Dec;45(6):571-81
pubmed: 22999325
Circulation. 2006 Mar 21;113(11):1385-92
pubmed: 16534005
Am J Cardiol. 1992 Sep 15;70(7):797-801
pubmed: 1519533
Circulation. 2011 Nov 15;124(20):2187-94
pubmed: 22042885
Heart Rhythm. 2017 Mar;14(3):376-382
pubmed: 28212739
Pacing Clin Electrophysiol. 2004 Jun;27(6 Pt 1):791-800
pubmed: 15189536
Am J Physiol Heart Circ Physiol. 2002 Jun;282(6):H2356-63
pubmed: 12003846
J Electrocardiol. 2012 Nov-Dec;45(6):677-83
pubmed: 23022305
J Am Heart Assoc. 2016 Jun 17;5(6):
pubmed: 27317349
Heart Rhythm. 2012 Jun;9(6):901-8
pubmed: 22300664
J Cardiovasc Electrophysiol. 2004 May;15(5):550-6
pubmed: 15149424
Heart Rhythm. 2016 Jan;13(1):190-8
pubmed: 26334569
Eur Heart J. 2022 Oct 21;43(40):3997-4126
pubmed: 36017572
Circulation. 2007 May 22;115(20):2613-20
pubmed: 17502575
Heart Rhythm. 2008 Jul;5(7):1015-8
pubmed: 18598957
J Am Coll Cardiol. 2006 Sep 5;48(5):1047-52
pubmed: 16949500
Heart. 2002 Mar;87(3):220-8
pubmed: 11847158
Am J Hum Genet. 2016 Jun 2;98(6):1077-1081
pubmed: 27236918
Genet Med. 2015 May;17(5):405-24
pubmed: 25741868