Regional Strain Pattern Index—A Novel Technique to Predict CRT Response

Orszulak, Michał; Filipecki, Artur; Wróbel, Wojciech; Berger-Kucza, Adrianna; Orszulak, Witold; Urbańczyk-Swić, Dagmara; Kwaśniewski, Wojciech; Płońska-Gościniak, Edyta; Mizia-Stec, Katarzyna

doi:10.3390/ijerph18030926

Open AccessArticle

Regional Strain Pattern Index—A Novel Technique to Predict CRT Response

by

Michał Orszulak

^1,*,†

,

Artur Filipecki

^1,†,

Wojciech Wróbel

¹,

Adrianna Berger-Kucza

¹,

Witold Orszulak

¹,

Dagmara Urbańczyk-Swić

¹,

Wojciech Kwaśniewski

¹,

Edyta Płońska-Gościniak

² and

Katarzyna Mizia-Stec

¹

First Department of Cardiology, School of Medicine in Katowice, Medical University of Silesia, ul. Ziolowa 45/47, 40-635 Katowice, Poland

²

Department of Cardiology, Pomeranian Medical University, 70-204 Szczecin, Poland

^*

Author to whom correspondence should be addressed.

^†

Both authors contributed equally to this manuscript.

Int. J. Environ. Res. Public Health 2021, 18(3), 926; https://doi.org/10.3390/ijerph18030926

Submission received: 9 November 2020 / Revised: 15 January 2021 / Accepted: 16 January 2021 / Published: 21 January 2021

(This article belongs to the Special Issue Advances in Heart Electrotherapy)

Download

Browse Figures

Review Reports Versions Notes

Abstract

Background: Cardiac resynchronization therapy (CRT) improves outcome in patients with heart failure (HF) however approximately 30% of patients still remain non-responsive. We propose a novel index—Regional Strain Pattern Index (RSPI)—to prospectively evaluate response to CRT. Methods: Echocardiography was performed in 49 patients with HF (66.5 ± 10 years, LVEF 24.9 ± 6.4%, QRS width 173.1 ± 19.1 ms) two times: before CRT implantation and 15 ± 7 months after. At baseline, dyssynchrony was assessed including RSPI and strain pattern. RSPI was calculated from all three apical views across 12 segments as the sum of dyssynchronous components. From every apical view, presence of four components were assessed: (1) contraction of the early-activated wall; (2) prestretching of the late activated wall; (3) contraction of the early-activated wall in the first 70% of the systolic ejection phase; (4) peak contraction of the late-activated wall after aortic valve closure. Each component scored 1 point, thus the maximum was 12 points. Results: Responders reached higher mean RSPI values than non-responders (5.86 ± 2.9 vs. 4.08 ± 2.4; p = 0.044). In logistic regression analysis value of RSPI ≥ 7 points was a predictor of favorable CRT effect (OR: 12; 95% CI = 1.33–108.17; p = 0.004). Conclusions: RSPI could be a valuable predictor of positive outcome in HF patients treated with CRT.

Keywords: cardiac resynchronization therapy; dyssynchrony; strain pattern; heart failure; RSPI

Share and Cite

MDPI and ACS Style

Orszulak, M.; Filipecki, A.; Wróbel, W.; Berger-Kucza, A.; Orszulak, W.; Urbańczyk-Swić, D.; Kwaśniewski, W.; Płońska-Gościniak, E.; Mizia-Stec, K. Regional Strain Pattern Index—A Novel Technique to Predict CRT Response. Int. J. Environ. Res. Public Health 2021, 18, 926. https://doi.org/10.3390/ijerph18030926

AMA Style

Orszulak M, Filipecki A, Wróbel W, Berger-Kucza A, Orszulak W, Urbańczyk-Swić D, Kwaśniewski W, Płońska-Gościniak E, Mizia-Stec K. Regional Strain Pattern Index—A Novel Technique to Predict CRT Response. International Journal of Environmental Research and Public Health. 2021; 18(3):926. https://doi.org/10.3390/ijerph18030926

Chicago/Turabian Style

Orszulak, Michał, Artur Filipecki, Wojciech Wróbel, Adrianna Berger-Kucza, Witold Orszulak, Dagmara Urbańczyk-Swić, Wojciech Kwaśniewski, Edyta Płońska-Gościniak, and Katarzyna Mizia-Stec. 2021. "Regional Strain Pattern Index—A Novel Technique to Predict CRT Response" International Journal of Environmental Research and Public Health 18, no. 3: 926. https://doi.org/10.3390/ijerph18030926

APA Style

Orszulak, M., Filipecki, A., Wróbel, W., Berger-Kucza, A., Orszulak, W., Urbańczyk-Swić, D., Kwaśniewski, W., Płońska-Gościniak, E., & Mizia-Stec, K. (2021). Regional Strain Pattern Index—A Novel Technique to Predict CRT Response. International Journal of Environmental Research and Public Health, 18(3), 926. https://doi.org/10.3390/ijerph18030926

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Menu

Regional Strain Pattern Index—A Novel Technique to Predict CRT Response

Abstract

Share and Cite

Article Metrics

Article Access Statistics

Further Information

Guidelines

MDPI Initiatives

Follow MDPI