Left ventricular global longitudinal strain using a novel fully automated method : A head-to-head comparison with a manual layer-specific strain and establishment of normal reference ranges

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved..

BACKGROUND: A novel automated method for measuring left ventricular (LV) global longitudinal strain (GLS) along the endocardium has advantages in terms of its rapid application and excellent reproducibility. However, it remains unclear whether the available normal range for conventional GLS using the manual method is applicable to the automated GLS method. This study aimed to compare automated GLS head-to-head with manual layer-specific GLS, and to identify whether a specialized normal reference range for automated GLS is needed and explore the main determinants.

METHODS: In total, 1683 healthy volunteers (men, 43%; age, 18-80 years) were prospectively enrolled from 55 collaborating laboratories. LV GLS was measured using both manual layer-specific and automated methods.

RESULTS: Automated GLS was higher than endocardial, mid-myocardial, and epicardial GLS. Women had a higher automated GLS than men. GLS had no significant age dependency in men, but first increased and then decreased with age in women. Accordingly, sex- and age-specific normal ranges for automated GLS were proposed. Moreover, GLS appeared to have different burdens in relation to dominant determinants between the sexes. GLS in men showed no dominant determinants; however, GLS in women correlated with age, body mass index, and heart rate.

CONCLUSIONS: Using the novel automated method, was LV GLS higher than when using the manual GLS method. The normal ranges of automated GLS stratified according to sex and age were provided, with dominant determinants showing sex disparities that require full consideration in clinical practice.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:403

Enthalten in:

International journal of cardiology - 403(2024) vom: 15. März, Seite 131886

Sprache:

Englisch

Beteiligte Personen:

Wang, Yong-Huai [VerfasserIn]
Sun, Lu [VerfasserIn]
Li, Shi-Wen [VerfasserIn]
Wang, Chun-Feng [VerfasserIn]
Pan, Xiao-Fang [VerfasserIn]
Liu, Ying [VerfasserIn]
Wu, Jun [VerfasserIn]
Guan, Xiang-Ping [VerfasserIn]
Zhang, Su-Li [VerfasserIn]
Zuo, Peng-Fei [VerfasserIn]
Liu, Yi-Lin [VerfasserIn]
Wang, Li-Yan [VerfasserIn]
Cui, Lei [VerfasserIn]
Liu, Yan [VerfasserIn]
Lai, Yu-Qiong [VerfasserIn]
Ding, Ming-Yan [VerfasserIn]
Lu, Gui-Lin [VerfasserIn]
Tan, Jing [VerfasserIn]
Yang, Xin-Jian [VerfasserIn]
Li, Yi-Hong [VerfasserIn]
Zhang, Xin-Tong [VerfasserIn]
Fan, Miao [VerfasserIn]
Yu, Jia-Hui [VerfasserIn]
Zheng, Qiao-Jin [VerfasserIn]
Ma, Chun-Yan [VerfasserIn]
Ren, Wei-Dong [VerfasserIn]
Study Investigators [VerfasserIn]

Links:

Volltext

Themen:

Automated method
Global longitudinal strain
Journal Article
Left ventricular
Normal reference ranges
Speckle-tracking

Anmerkungen:

Date Completed 18.03.2024

Date Revised 18.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.ijcard.2024.131886

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM36872865X