Response of Ventricular Repolarization Parameters to Preload
Changes in the Isolated Working Heart

D 2017

Response of Ventricular Repolarization Parameters to Preload Changes in the Isolated Working Heart

HEJC, Jakub, Oto JANOUSEK, Marina RONZHINA, Tibor STRAČINA, Veronika OLEJNÍČKOVÁ et. al.

Základní údaje

Originální název

Response of Ventricular Repolarization Parameters to Preload Changes in the Isolated Working Heart

Autoři

HEJC, Jakub (203 Česká republika), Oto JANOUSEK (203 Česká republika), Marina RONZHINA (203 Česká republika), Tibor STRAČINA (703 Slovensko, domácí), Veronika OLEJNÍČKOVÁ (203 Česká republika, domácí), Jana KOLAROVA (203 Česká republika) a Marie NOVÁKOVÁ (203 Česká republika, garant, domácí)

Vydání

Washington, Computing in Cardiology 2016, od s. 409-412, 4 s. 2017

Nakladatel

IEEE Computer Society

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

30105 Physiology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

tištěná verze "print"

Kód RIV

RIV/00216224:14110/17:00094617

Organizační jednotka

Lékařská fakulta

ISBN

978-1-5090-0896-4

ISSN

UT WoS

000405710400103

Klíčová slova anglicky

Response of Ventricular Repolarization Parameters

Štítky

EL OK

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 3. 2018 14:00, Soňa Böhmová

Anotace

V originále

Heart rate dependency of ventricular repolarization (VR) parameters has been a well known phenomenon for many years. Other contributing factors, such as Mechano-electric Coupling, are still under investigation. In this work, we analyze step response of VR parameters after abrupt change in mechanical end-diastolic load. 10 isolated rabbit hearts were perfused in Working Heart mode. The protocol consisted of abrupt changes in preload level of 3 cm/fcO. Left ventricle electric activity was recorded by seven unipolar leads at sampling frequency 10 kHz. A second-order transfer function model was used to identify basic parameters of Q.TEND and QTPEAK step responses, detected in reconstructed global pseudo-lead. Results show inverse relationship between changes in the preload and the length of QT related intervals. Increase of the preload causes significant (p<0.05) shortening of both intervals within the range of 1.6-26.9 ms. On the contrary, preload decreasing leads to prolongation of repolarization parameters, however, with significantly lower (p<0.05) average magnitude. Dynamic response is highly individual among each heart. Average time needed to reach stable QT in our data is 336.0 seconds, while min. and max. value is 41.4 and 894.0 seconds, respectively.

Návaznosti

GAP102/12/2034, projekt VaV

Název: Analýza vztahu mezi elektrickými ději a průtokem krve u srdečních komor

Investor: Grantová agentura ČR, Analýza vztahu mezi elektrickými ději a průtokem krve u srdečních komor

MUNI/A/1326/2014, interní kód MU

Název: Kardiovaskulární systém od buňky k lůžku pacienta (Akronym: KASBUNPAC)

Investor: Masarykova univerzita, Kardiovaskulární systém od buňky k lůžku pacienta, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

HEJC, Jakub, Oto JANOUSEK, Marina RONZHINA, Tibor STRAČINA, Veronika OLEJNÍČKOVÁ, Jana KOLAROVA a Marie NOVÁKOVÁ. Response of Ventricular Repolarization Parameters to Preload Changes in the Isolated Working Heart. In Alan Murray. Computing in Cardiology 2016. Washington: IEEE Computer Society, 2017, s. 409-412. ISBN 978-1-5090-0896-4.

@inproceedings{1368637,
   author = {Hejc, Jakub and Janousek, Oto and Ronzhina, Marina and Stračina, Tibor and Olejníčková, Veronika and Kolarova, Jana and Nováková, Marie},
   address = {Washington},
   booktitle = {Computing in Cardiology 2016},
   editor = {Alan Murray},
   keywords = {Response of Ventricular Repolarization Parameters},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Washington},
   isbn = {978-1-5090-0896-4},
   pages = {409-412},
   publisher = {IEEE Computer Society},
   title = {Response of Ventricular Repolarization Parameters to Preload Changes in the Isolated Working Heart},
   year = {2017}
}

TY  - JOUR
ID  - 1368637
AU  - Hejc, Jakub - Janousek, Oto - Ronzhina, Marina - Stračina, Tibor - Olejníčková, Veronika - Kolarova, Jana - Nováková, Marie
PY  - 2017
TI  - Response of Ventricular Repolarization Parameters to Preload Changes in the Isolated Working Heart
PB  - IEEE Computer Society
CY  - Washington
SN  - 9781509008964
KW  - Response of Ventricular Repolarization Parameters
N2  - Heart rate dependency of ventricular repolarization (VR) parameters has been a well known phenomenon for many years. Other contributing factors, such as Mechano-electric Coupling, are still under investigation. In this work, we analyze step response of VR parameters after abrupt change in mechanical end-diastolic load. 10 isolated rabbit hearts were perfused in Working Heart mode. The protocol consisted of abrupt changes in preload level of 3 cm/fcO. Left ventricle electric activity was recorded by seven unipolar leads at sampling frequency 10 kHz. A second-order transfer function model was used to identify basic parameters of Q.TEND and QTPEAK step responses, detected in reconstructed global pseudo-lead. Results show inverse relationship between changes in the preload and the length of QT related intervals. Increase of the preload causes significant (p<0.05) shortening of both intervals within the range of 1.6-26.9 ms. On the contrary, preload decreasing leads to prolongation of repolarization parameters, however, with significantly lower (p<0.05) average magnitude. Dynamic response is highly individual among each heart. Average time needed to reach stable QT in our data is 336.0 seconds, while min. and max. value is 41.4 and 894.0 seconds, respectively.
ER  -

HEJC, Jakub, Oto JANOUSEK, Marina RONZHINA, Tibor STRAČINA, Veronika OLEJNÍČKOVÁ, Jana KOLAROVA a Marie NOVÁKOVÁ. Response of Ventricular Repolarization Parameters to Preload Changes in the Isolated Working Heart. In Alan Murray. \textit{Computing in Cardiology 2016}. Washington: IEEE Computer Society, 2017, s.~409-412. ISBN~978-1-5090-0896-4.

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