Evaluating the Clinical Agreement Between Corrected Left Ventricular Ejection Time and Corrected Carotid Flow Time in

Esmée C de Boer1, Frederique M de Raat1, Catarina Dinis Fernandes2

  • 1Department of Electrical Engineering, Technical University of Eindhoven, Eindhoven, The Netherlands; Department of Anesthesiology, Catharina Hospital, Eindhoven, The Netherlands.

PubMed

Insights

Manually measured corrected carotid flow time (ccFT) closely aligns with corrected left ventricular ejection time (cLVET) in CABG patients. This non-invasive method offers a promising alternative for cardiac contractility assessment during surgery.

Area of Science:

  • Cardiology
  • Anesthesiology
  • Medical Devices

Background:

  • Perioperative hemodynamic monitoring is vital for reducing complications in coronary artery bypass graft (CABG) surgery.
  • Corrected left ventricular ejection time (cLVET) assesses cardiac contractility but requires specialized echocardiography skills.
  • Corrected carotid flow time (ccFT), a non-invasive Doppler method, presents a potential alternative to cLVET.

Purpose of the Study:

  • To evaluate the clinical agreement between ccFT and cLVET in patients undergoing CABG surgery.
  • To determine if ccFT can serve as a viable surrogate for cLVET in a real-world clinical setting.

Main Methods:

  • Prospective observational study including 17 adult CABG patients.
  • Measurements of cLVET via transesophageal echocardiography and ccFT via carotid ultrasound.
  • Analysis using Bazett's and Wodey's formulas, with both manual and automated quantification.

Main Results:

  • Manual ccFT quantification showed strong correlation with cLVET (r=0.88-0.96, p<0.001).
  • Acceptable bias (<11 ms) and narrow limits of agreement were observed for manual ccFT.
  • Manual ccFT demonstrated good concordance (91-93%) with cLVET, superior to automated analysis.

Conclusions:

  • Manually computed ccFT exhibits strong clinical agreement with cLVET in CABG patients.
  • Manually derived ccFT is a potential surrogate for cLVET, offering a less invasive monitoring option.
  • Optimization of automated algorithms for ccFT is necessary for future clinical integration.
Abstract

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