J Anesth Perioper Med. 2018;5(2):77-84. https://doi.org/10.24015/ebcmed.japm.2018.0032

Myocardial Strain: A Primer for Anesthesiologists

Chengmei Shi1, Wenxi Tang2, Zhuan Zhang3, and Jiapeng Huang4

From the 1Department of Anesthesiology, Peking University Third Hospital, Beijing, China; 2Department of Anesthesiology, Qilu Hospital of Shandong University, Qingdao, China; 3Department of Anesthesiology, The Affiliated Hospital of Yangzhou University, Yangzhou, China; 4Department of Anesthesiology & Perioperative Medicine, University of Louisville, Department of Anesthesiology, Jewish Hospital, Louisville, KY, USA.

Correspondence to Dr. Jiapeng Huang at jiapenghuang@yahoo.com.

EBCMED ID: ebcmed.japm.2018.0032 DOI: 10.24015/ebcmed.japm.2018.0032


Abstract

Aim of review
This review is intended to provide a high-level summary of strain and its implications for anesthesiologists.

Methods
Pubmed search using the following keywords, ‘strain’ and ‘perioperative’, to identify literature from 1985 to 2016 was performed to summarize recent research on myocardial strain measurements, their perioperative implications and its association with clinical outcomes.

Recent findings
Evaluation of cardiac function improves risk assessment and guides anesthetic decisions. However, the most common echocardiographic measure of myocardial function, the left ventricular ejection fraction, has important limitations. Myocardial strain by the echocardiography performs a quantitative assessment of global and regional myocardial function and has become a useful tool for perioperative care of surgical patients. The strain could be used to diagnose myocardial ischemia, evaluate effects of valvular heart disease, coronary artery disease and follow up on cardiotoxicity.

Conclusion
As the echocardiography is becoming more available in operating rooms, anesthesiologists could perform myocardial strain measurements easily in the perioperative period to evaluate cardiac functions accurately, alter their hemodynamic management strategies accordingly and improve patient outcomes.

Article Type
Review Article

Declaration of Interests
The author declares no conflicts of interest.

This is an open-access article, published by Evidence Based Communications (EBC). This work is licensed under the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium or format for any lawful purpose. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.