Skip to main content

Advertisement

Log in

Can the descending aortic stroke volume be estimated by transesophageal descending aortic photoplethysmography?

  • Original Article
  • Published:
Journal of Anesthesia Aims and scope Submit manuscript

Abstract

Purpose

The aim of this study was to investigate the ability of transesophageal photoplethysmography detected from the descending aorta (dPPG) for predicting low descending aortic stroke volume (dSV) level in cardiac surgical patients.

Methods

Fifteen patients scheduled for elective cardiac surgery were enrolled in our study. A transesophageal echocardiography (TEE) probe with an attached oximetry sensor was placed into the esophagus for paired dPPG signal and descending aortic Doppler blood flow signal acquisition. Metrics, including alternating current (AC), direct current (DC), area under the curve (AUC) and width (W), were extracted from the dPPG signals. The TEE-measured dSV, which was defined as the blood flow through the descending aorta during a cardiac cycle, was chosen as the standard reference. A receiver operating characteristic (ROC) curve was built to evaluate the performance of dPPG metrics in predicting low dSV level, and dSV measuring agreement between TEE and dPPG was analyzed by the Bland–Altman method.

Results

A total of 644 paired dPPG and Doppler signals of the descending aorta were acquired. Significant correlations were found between the dPPG metrics and TEE-measured dSV, and the correlation coefficients between TEE-measured dSV and AUC or AC were 0.64 and 0.66, respectively. AUC and AC values obviously decreased with the reduction of dSV level among the three groups (<20 mL, from 20−40 mL, and >40 mL). The areas under the ROC curve for AUC and AC in predicting low dSV level (<20 mL) were 0.85 and 0.88, respectively. Bland–Altman plot showed a small bias (0.02 mL) but a wide limit of agreement (−18.62 to 18.66 mL) in dSV measurement between dPPG and Doppler technology.

Conclusions

The AC and AUC extracted from the dPPG signal provided a sensitive and qualitative prediction for dSV level. The dSV value could not be accurately measured by dPPG metrics.

Trial Registration

Chinese Clinical Trials Register Identifier: ChiCTR-OCS-12002789.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Sahni R. Noninvasive monitoring by photoplethysmography. Clin Perinato. 2012;39:573–83.

    Article  Google Scholar 

  2. Scheeren TW, Schober P, Schwarte LA. Monitoring tissue oxygenation by near infrared spectroscopy (NIRS): background and current application. J Clin Monit Comput. 2012;26:279–87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Shelley KH. Photoplethysmography: beyond the calculation of arterial oxygen saturation and heart rate. Anesth Analg. 2007;105:S31–6.

    Article  PubMed  Google Scholar 

  4. Alian AA, Galante NJ, Stachenfeld NS, Silverman DG, Shelley KH. Impact of central hypovolemia on photoplethysmographic waveform parameters in healthy volunteers. Part 1: Time domain analysis. J Clin Monit Comput. 2011;25:377–85.

    Article  PubMed  Google Scholar 

  5. Alian AA, Galante NJ, Stachenfeld NS, Silverman DG, Shelley KH. Impact of central hypovolemia on photoplethysmographic waveform parameters in healthy volunteers. Part 2: Frequency domain analysis. J Clin Monit Comput. 2011;25:387–96.

    Article  PubMed  Google Scholar 

  6. McGrath SP, Ryan KL, Wendelken SM, Richards CA, Convertino VA. Pulse oximeter plethysmographic waveform changes in awake, spontaneously breathing, hypovolemic volunteers. Anesth Analg. 2011;112:368–74.

    Article  PubMed  Google Scholar 

  7. Scully CG, Selvaraj N, Romberg FW, Wardhan R, Ryan J, Florian JP, Silverman DG, Shelley KH, Chon KH. Using time-frequency analysis of the photoplethysmographic waveform to detect the withdrawal of 900 ml of blood. Anesth Analg. 2012;115:74–81.

    Article  PubMed  Google Scholar 

  8. Thiele RH, Colquhoun DA, Patrie J, Nie SH, Huffmyer JL. Relationship between plethysmographic waveform changes and hemodynamic variables in anesthetized, mechanically ventilated patients undergoing continuous cardiac output monitoring. J Cardiothorac Vasc Anesth. 2011;25:1044–50.

    Article  PubMed  Google Scholar 

  9. Awadd AA, Stout RG, Ghobashy MA, Rezkanna HA, Silverman DG, Shelley KH. Analysis of the ear pulse oximeter waveform. J Clin Monit Comput. 2006;20:175–84.

    Article  Google Scholar 

  10. Kyriacou PA, Powell S, Langford RM, Jones DP. Esophageal pulse oximetry utilizing reflectance photoplethysmography. IEEE Trans Biomed Eng. 2002;49:1360–8.

    Article  PubMed  Google Scholar 

  11. Margreiter J, Keller C, Brimacombe J. The feasibility of transesophageal echocardiograph-guided right and left ventricular oximetry in hemodynamically stable patients undergoing coronary artery bypass grafting. Anesth Analg. 2002;94:794–8.

    Article  CAS  PubMed  Google Scholar 

  12. Kyriacou PA, Powell S, Langford RM, Jones DP. Investigation of oesophageal photoplethysmographic signals and blood oxygen saturation measurements in cardiothoracic surgery patients. Physiol Meas. 2002;23:533–45.

    Article  CAS  PubMed  Google Scholar 

  13. Kyriacou PA, Moye AR, Choi DM, Langford RM, Jones DP. Investigation of the human oesophagus as a new monitoring site for blood oxygen saturation. Physiol Meas. 2001;22:223–32.

    Article  CAS  PubMed  Google Scholar 

  14. Wei W, Zhu Z, Liu L, Zuo Y, Gong M, Xue F, Liu J. A pilot study of continuous transtracheal mixed venous oxygen saturation monitoring. Anesth Analg. 2005;101:440–3.

    Article  PubMed  Google Scholar 

  15. Wang L, Wei W, Gong M, Mu L. A comparison of response time to desaturation between tracheal oximetry and peripheral oximetry. J Clin Monit Comput. 2010;24:149–53.

    Article  PubMed  Google Scholar 

  16. Vicenzi MN, Gombotz H, Krenn H, Dorn C, Rehak P. Transesophageal versus surface pulse oxometry in intensive care unit patients. Crit Care Med. 2000;28:2268–70.

    Article  CAS  PubMed  Google Scholar 

  17. Mou L, Gong Q, Wei W, Gao B. The analysis of transesophageal oxygen saturation photoplethysmography from different signal sources. J Clin Monit Comput. 2013;27:365–70.

    Article  PubMed  Google Scholar 

  18. Odenstedt H, Aneman A, Oi Y, Svensson M, Stenqvist O, Lundin S. Descending aortic blood flow and cardiac output: a clinical and experimental study of continuous oesophageal echo-Doppler flowmetry. Acta Anaesthesiol Scand. 2001;45:180–7.

    Article  CAS  PubMed  Google Scholar 

  19. Schober P, Loer SA, Schwarte LA. Perioperative hemodynamic monitoring with transesophageal Doppler technology. Anesth Analg. 2009;109:340–53.

    Article  PubMed  Google Scholar 

  20. Knirsch W, Kretschmar O, Tomaske M, Stutz K, Nagdyman N, Balmer C, Schmitz A, Berger F, Bauersfeld U, Weiss M. Comparison of cardiac output measurement using the CardioQP oesophageal Doppler with cardiac output measurement using thermodilution technique in children during heart catheterization. Anaethesia. 2008;63:851–5.

    Article  CAS  Google Scholar 

  21. Perrino AC Jr, Fleming J, LaMantia KR. Transesophageal Doppler ultrasonography: evidence for improved cardiac output monitoring. Anesth Analg. 1990;71:651–7.

    Article  PubMed  Google Scholar 

  22. Macleod DB, Cortinez LI, Keifer JC, Cameron D, Wright DR, White WD, Moretti EW, Radulescu LR, Somma J. The desaturation response time of finger pulse oximeters during hypothermia. Anaesthesia. 2005;60:65–71.

    Article  CAS  PubMed  Google Scholar 

  23. Palve H, Vuori A. Pulse oximetry during low cardiac output and hypothermia states immediately after open heart surgery. Crit Care Med. 1989;17:66–9.

    Article  CAS  PubMed  Google Scholar 

  24. Talke P, Stapelfeldt C. Effect of peripheral vasoconstriction on pulse oximetry. J Clin Monit Comput. 2006;20:305–9.

    Article  PubMed  Google Scholar 

  25. Schramm WM, Bartunek A, Gilly H. Effect of local limb temperature on pulse oximetry and the plethysmographic pulse wave. Int J Clin Comput. 1997;14:17–22.

    CAS  Google Scholar 

  26. Pirneskoski J, Harjola VP, Jeskanen P, Linnamurto L, Saikko S, Nurmi J. Critically ill patients in emergency department may be characterized by low amplitude and high variability of amplitude of pulse photoplethysmography. Scand J Trauma Resusc Emerg Med. 2013;21:48.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Lee QY, Redmond SJ, Chan GSh, Middleton PM, Steel E, Malouf P, Critoph C, Flynn G, O’Lone E, Lovell NH. Estimation of cardiac output and systemic vascular resistance using a multivariate regression model with feature selected from the finger photoplethysmogram and routine cardiovascular measurements. Biomed Eng Online. 2013;12:19.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Kim SA, Lee HY, Won HY, Park S, Chung JH, Jang Y, Ha JW. Quantitative assessment of aortic elasticity with aging using velocity-vector imaging and its histologic correlation. Arterioscler Thromb Vasc Biol. 2013;33:1306–12.

    Article  CAS  PubMed  Google Scholar 

  29. Firbank M, Elwell CE, Cooper CE, Cooper CE, Delpy DT. Experimental and theoretical comparison of NIR spectroscopy measurements of cerebral hemoglobin changes. J Appl Physiol. 1998;85:1915–21.

    CAS  PubMed  Google Scholar 

Download references

Acknowledgements

This work was supported by the Science and Technology Project of Sichuan Province (2012JY0089).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wei Wei.

Ethics declarations

Conflict of interest

All authors declare no conflicts of interest.

Additional information

This study was approved by Ethics Committee chairman Zeng Yong.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ling, P., Quan, G., Siyuan, Y. et al. Can the descending aortic stroke volume be estimated by transesophageal descending aortic photoplethysmography?. J Anesth 31, 337–344 (2017). https://doi.org/10.1007/s00540-017-2338-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00540-017-2338-y

Keywords

Navigation