J 2020

Heart Rate Influence on the QT Variability Risk Factors

ANDRŠOVÁ, Irena, Katerina HNATKOVA, Martina ŠIŠÁKOVÁ, Ondřej TOMAN, Peter SMETANA et. al.

Basic information

Original name

Heart Rate Influence on the QT Variability Risk Factors

Authors

ANDRŠOVÁ, Irena (203 Czech Republic, belonging to the institution), Katerina HNATKOVA (203 Czech Republic), Martina ŠIŠÁKOVÁ (203 Czech Republic, belonging to the institution), Ondřej TOMAN (203 Czech Republic, belonging to the institution), Peter SMETANA, Katharina M. HUSTER (276 Germany), Petra BARTHEL (276 Germany), Tomáš NOVOTNÝ (203 Czech Republic, belonging to the institution), Georg SCHMIDT (276 Germany) and Marek MALÍK (203 Czech Republic, guarantor, belonging to the institution)

Edition

Diagnostics, Basel, MDPI, 2020, 2075-4418

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30218 General and internal medicine

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 3.706

RIV identification code

RIV/00216224:14110/20:00117689

Organization unit

Faculty of Medicine

UT WoS

000602010500001

Keywords in English

QT variability; RR variability; QT variability index; underlying heart rate; sequential analysis of regression variance

Tags

Tags

International impact, Reviewed
Změněno: 21/7/2021 10:07, Mgr. Michal Petr

Abstract

V originále

QT interval variability, mostly expressed by QT variability index (QTVi), has repeatedly been used in risk diagnostics. Physiologic correlates of QT variability expressions have been little researched especially when measured in short 10-second electrocardiograms (ECGs). This study investigated different QT variability indices, including QTVi and the standard deviation of QT interval durations (SDQT) in 657,287 10-second ECGs recorded in 523 healthy subjects (259 females). The indices were related to the underlying heart rate and to the 10-second standard deviation of RR intervals (SDRR). The analyses showed that both QTVi and SDQT (as well as other QT variability indices) were highly statistically significantly (p < 0.00001) influenced by heart rate and that QTVi showed poor intra-subject reproducibility (coefficient of variance approaching 200%). Furthermore, sequential analysis of regression variance showed that SDQT was more strongly related to the underlying heart rate than to SDRR, and that QTVi was influenced by the underlying heart rate and SDRR more strongly than by SDQT (p < 0.00001 for these comparisons of regression dependency). The study concludes that instead of QTVi, simpler expressions of QT interval variability, such as SDQT, appear preferable for future applications especially if multivariable combination with the underlying heart rate is used.

Links

MUNI/A/1446/2019, interní kód MU
Name: Nevyřešené otázky a nové metody hodnocení elektrokardiografického signálu (Acronym: ECG2020)
Investor: Masaryk University, Category A