Critical Care Explorations (May 2023)

Detecting the Change in Total Circulatory Flow with a Wireless, Wearable Doppler Ultrasound Patch: A Pilot Study

  • Chelsea E. Munding, PhD,
  • Jon-Émile S. Kenny, MD,
  • Zhen Yang, BMath,
  • Geoffrey Clarke, MASc,
  • Mai Elfarnawany, PhD,
  • Andrew M. Eibl, BComm,
  • Joseph K. Eibl, PhD,
  • Bhanu Nalla, MD,
  • Rony Atoui, MD

DOI
https://doi.org/10.1097/CCE.0000000000000914
Journal volume & issue
Vol. 5, no. 5
p. e0914

Abstract

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OBJECTIVE:. Measuring fluid responsiveness is important in the management of critically ill patients, with a 10–15% change in cardiac output typically being used to indicate “fluid responsiveness.” Ideally, these changes would be measured noninvasively and peripherally. The aim of this study was to determine how the common carotid artery (CCA) maximum velocity changes with total circulatory flow when confounding factors are mitigated and determine a value for CCA maximum velocity corresponding to a 10% change in total circulatory flow. DESIGN:. Prospective observational pilot study. SETTING:. Patients undergoing elective, on-pump coronary artery bypass grafting (CABG) surgery. PATIENTS:. Fourteen patients were referred for elective coronary artery bypass grafting surgery. INTERVENTIONS:. Cardiopulmonary bypass (CPB) pump flow changes during surgery, as chosen by the perfusionist. MEASUREMENTS:. A hands-free, wearable Doppler patch was used for CCA velocity measurements with the aim of preventing user errors in ultrasound measurements. Maximum CCA velocity was determined from the spectrogram acquired by the Doppler patch. CPB flow rates were recorded as displayed on the CPB console, and further measured from the peristaltic pulsation frequency visible on the recorded Doppler spectrograms. MAIN RESULTS:. Changes in CCA maximum velocity tracked well with changes in CPB flow. On average, a 13.6% change in CCA maximum velocity was found to correspond to a 10% change in CPB flow rate. CONCLUSIONS:. Changes in CCA velocity may be a useful surrogate for determining fluid responsiveness when user error can be mitigated.