Acute Crit Care.  2024 Feb;39(1):162-168. 10.4266/acc.2023.01095.

The correlation between carotid artery Doppler and stroke volume during central blood volume loss and resuscitation

Affiliations
  • 1Flosonics Medical, Toronto, ON, Canada
  • 2Health Sciences North Research Institute, Sudbury, ON, Canada
  • 3Northern Ontario School of Medicine University, Sudbury, ON, Canada
  • 4Human Integrative and Environmental Physiology Laboratory, Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
  • 5Physiology and Ultrasound Laboratory in Science and Exercise, School of Human Movement and Nutrition Sciences, The University of Queensland, Brisbane, Australia

Abstract

Background
Using peripheral arteries to infer central hemodynamics is common among hemodynamic monitors. Doppler ultrasound of the common carotid artery has been used in this manner with conflicting results. We investigated the relationship between changing common carotid artery Doppler measures and stroke volume (SV), hypothesizing that more consecutively-averaged cardiac cycles would improve SV-carotid Doppler correlation. Methods: Twenty-seven healthy volunteers were recruited and studied in a physiology laboratory. Carotid artery Doppler pulse was measured with a wearable, wireless ultrasound during central hypovolemia and resuscitation induced by a stepped lower body negative pressure protocol. The change in maximum velocity time integral (VTI) and corrected flow time of the carotid artery (ccFT) were compared with changing SV using repeated measures correlation. Results: In total, 73,431 cardiac cycles were compared across 27 subjects. There was a strong linear correlation between changing SV and carotid Doppler measures during simulated hemorrhage (repeated-measures linear correlation [Rrm ]=0.91 for VTI; 0.88 for ccFT). This relationship improved with larger numbers of consecutively-averaged cardiac cycles. For ccFT, beyond four consecutively-averaged cardiac cycles the correlation coefficient remained strong (i.e., Rrm of at least 0.80). For VTI, the correlation coefficient with SV was strong for any number of averaged cardiac cycles. For both ccFT and VTI, Rrm remained stable around 25 consecutively-averaged cardiac cycles. Conclusions: There was a strong linear correlation between changing SV and carotid Doppler measures during central blood volume loss. The strength of this relationship was dependent upon the number of consecutively-averaged cardiac cycles.

Keyword

carotid artery; corrected flow time; doppler ultrasound; functional hemodynamic monitoring; wearable technology, velocity time integral

Figure

  • Figure 1. Wearable Doppler ultrasound and representative results. (A) The wearable Doppler ultrasound worn over the right common carotid artery of a healthy subject. (B) Representative Doppler spectrograms from left to right showing increasingly severe lower body negative pressure (LBNP). The green bars at the base are the common carotid corrected flow time (ccFT) per cardiac cycle and time on the X-axis. (C) Representative results from a single LBNP protocol showing two carotid ultrasound measures: ccFT and velocity time integral (VTI) compared to stroke volume (SV) and mean arterial pressure (MAP). Release was when the LBNP chamber returned to atmospheric pressure.

  • Figure 2. The relationship between change in common carotid artery corrected flow time (ccFT) and velocity time integral (VTI) with stroke volume (SV) in a model of central blood volume loss. (A) The relationship between SV % change from baseline and ccFT % change from baseline using whole stage averages. Across decreasing pressure stages, the repeated-measures linear correlation (Rrm) is 0.88 and the slope is 0.33. (B) The relationship between SV % change from baseline and ccFT % change from baseline using 10-beat averages. Across decreasing pressure stages, the Rrm is 0.83 and the slope is 0.30. (C) The effect of the number of consecutively-averaged cardiac cycles on repeated-measures correlation coefficient between % change SV and % change ccFT. (D) The relationship between SV % change from baseline and VTI % change from baseline using whole stage averages. Across decreasing pressure stages, the Rrm is 0.91 and the slope is 1.18. (E) The relationship between SV % change from baseline and VTI % change from baseline using 10-beat averages. Across decreasing pressure stages, the Rrm is 0.86 and the slope is 1.16. (F) The effect of the number of consecutively-averaged cardiac cycles on repeated-measures correlation coefficient between % change SV and % change VTI.


Reference

1. Teboul JL, Saugel B, Cecconi M, De Backer D, Hofer CK, Monnet X, et al. Less invasive hemodynamic monitoring in critically ill patients. Intensive Care Med. 2016; 42:1350–9.
Article
2. Cheong I, Otero Castro V, Sosa FA, Tort Oribe B, Merlo PM, Tamagnone FM. Carotid flow as a surrogate of the left ventricular stroke volume. J Clin Monit Comput. 2023; 37:661–7.
Article
3. Kenny JS. A theoretical foundation for relating the velocity time integrals of the left ventricular outflow tract and common carotid artery. J Clin Monit Comput. 2023; 37:937–9.
Article
4. Kenny JS, Barjaktarevic I, Mackenzie DC, Elfarnawany M, Yang Z, Eibl AM, et al. Carotid Doppler ultrasonography correlates with stroke volume in a human model of hypovolaemia and resuscitation: analysis of 48 570 cardiac cycles. Br J Anaesth. 2021; 127:e60–3.
Article
5. Kenny JS, Barjaktarevic I, Eibl AM, Parrotta M, Long BF, Elfarnawany M, et al. Temporal concordance between pulse contour analysis, bioreactance and carotid doppler during rapid preload changes. PLoS One. 2022; 17:e0265711.
Article
6. Barjaktarevic I, Toppen WE, Hu S, Aquije Montoya E, Ong S, Buhr R, et al. Ultrasound assessment of the change in carotid corrected flow time in fluid responsiveness in undifferentiated shock. Crit Care Med. 2018; 46:e1040–6.
Article
7. Marik PE, Levitov A, Young A, Andrews L. The use of bioreactance and carotid Doppler to determine volume responsiveness and blood flow redistribution following passive leg raising in hemodynamically unstable patients. Chest. 2013; 143:364–70.
Article
8. Effat H, Hamed K, Hamed G, Mostafa R, El Hadidy S. Electrical cardiometry versus carotid Doppler in assessment of fluid responsiveness in critically ill septic patients. Egypt J Crit Care Med. 2021; 8:96–113.
9. Kimura A, Suehiro K, Juri T, Tanaka K, Mori T. Changes in corrected carotid flow time induced by recruitment maneuver predict fluid responsiveness in patients undergoing general anesthesia. J Clin Monit Comput. 2022; 36:1069–77.
Article
10. Jung S, Kim J, Na S, Nam WS, Kim DH. Ability of carotid corrected flow time to predict fluid responsiveness in patients mechanically ventilated using low tidal volume after surgery. J Clin Med. 2021; 10:2676.
Article
11. Cheong I, Otero Castro V, Sosa FA, Tort Oribe B, Fruchtenicht MF, Tamagnone FM, et al. Passive leg raising test using the carotid flow velocity-time integral to predict fluid responsiveness. J Ultrasound. 2023 Sep 5 [Epub]; https://doi.org/10.1007/s40477-023-00824-1.
Article
12. Douglas IS, Alapat PM, Corl KA, Exline MC, Forni LG, Holder AL, et al. Fluid response evaluation in sepsis hypotension and shock: a randomized clinical trial. Chest. 2020; 158:1431–45.
Article
13. Dubin A, Loudet C, Kanoore Edul VS, Osatnik J, Ríos F, Vásquez D, et al. Characteristics of resuscitation, and association between use of dynamic tests of fluid responsiveness and outcomes in septic patients: results of a multicenter prospective cohort study in Argentina. Ann Intensive Care. 2020; 10:40.
Article
14. Kenny JS, Elfarnawany M, Yang Z, Eibl AM, Eibl JK, Kim CH, et al. A wireless ultrasound patch detects mild-to-moderate central hypovolemia during lower body negative pressure. J Trauma Acute Care Surg. 2022; 93(2S Suppl 1):S35–40.
Article
15. Abbasi A, Azab N, Nayeemuddin M, Schick A, Lopardo T, Phillips GS, et al. Change in carotid blood flow and carotid corrected flow time assessed by novice sonologists fails to determine fluid responsiveness in spontaneously breathing intensive care unit patients. Ultrasound Med Biol. 2020; 46:2659–66.
Article
16. van Houte J, Mooi FJ, Montenij LJ, Meijs LP, Suriani I, Conjaerts BC, et al. Correlation of carotid Doppler blood flow with invasive cardiac output measurements in cardiac surgery patients. J Cardiothorac Vasc Anesth. 2022; 36:1081–91.
Article
17. Khan S, Mishra SK, Parida S, Jha AK, Nagabhushanam Padala SR. Carotid doppler indices do not predict fluid responsiveness in mechanically ventilated patients undergoing coronary artery bypass grafting surgery. J Card Surg. 2022; 37:4418–24.
Article
18. Kenny JS, Barjaktarevic I, Mackenzie DC, Elfarnawany M, Math ZY, Eibl AM, et al. Carotid Doppler measurement variability in functional hemodynamic monitoring: an analysis of 17,822 cardiac cycles. Crit Care Explor. 2021; 3:e0439.
Article
19. Bussmann BM, Sharma S, Mcgregor D, Hulme W, Harris T. Observational study in healthy volunteers to define interobserver reliability of ultrasound haemodynamic monitoring techniques performed by trainee doctors. Eur J Emerg Med. 2019; 26:217–23.
Article
20. Kenny JS, Barjaktarevic I, Mackenzie DC, Elfarnawany M, Yang Z, Eibl AM, et al. Carotid artery velocity time integral and corrected flow time measured by a wearable Doppler ultrasound detect stroke volume rise from simulated hemorrhage to transfusion. BMC Res Notes. 2022; 15:7.
Article
21. Kerrebijn I, Atwi S, Horner C, Elfarnawany M, Eibl AM, Eibl JK, et al. Correlation between changing carotid artery corrected flow time and ascending aortic Doppler flow velocity. Br J Anaesth. 2023; 131:e192–5.
Article
22. Kenny JS, Elfarnawany M, Yang Z, Myers M, Eibl AM, Eibl JK, et al. The Doppler shock index measured by a wearable ultrasound patch accurately detects moderate-to-severe central hypovolemia during lower body negative pressure. J Am Coll Emerg Physicians Open. 2021; 2:e12533.
Article
23. Kenny JS, Cannesson M, Barjaktarevic I. Minimizing measurement variability in carotid ultrasound evaluations. J Ultrasound Med. 2021; 40:855–6.
Article
24. Kenny JS, Barjaktarevic I. Timing and measurement variability are critical when using carotid Doppler to infer hemodynamics. Ultrasound Med Biol. 2020; 46:3485–6.
Article
25. Beier L, Davis J, Esener D, Grant C, Fields JM. Carotid ultrasound to predict fluid responsiveness: a systematic review. J Ultrasound Med. 2020; 39:1965–76.
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