Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Article
  • Published:

Using noninvasive adjusted pulse transit time for tracking beat-to-beat systolic blood pressure during ventricular arrhythmia

A Comment to this article was published on 27 December 2021

Abstract

Tracking beat-to-beat blood pressure noninvasively during ventricular arrhythmia (VA) is of great importance but rarely reported. The goal of our study was to investigate the potential utility of the adjusted pulse transit time (APTT) to track beat-to-beat femoral systolic blood pressure (SBP) during VA. Patients who underwent radiofrequency ablation for arrhythmias at Fuwai Hospital were enrolled. Electrocardiograms (ECGs), finger photoplethysmograms, and femoral arterial blood pressure were recorded simultaneously during VA. The APTT was calculated as the ratio between the square of the conventional pulse transit time (cPTT) and the RR interval of the ECG waveform. Forty-five patients were enrolled in our study, and 22,849 beats were collected during their VA. The inverse of the APTT showed a good correlation with femoral SBP during VA (r = 0.70 ± 0.18). The APTT-derived SBP demonstrated acceptable accuracy in terms of the mean difference ± standard deviation (−0.01 ± 10.54 mmHg) from the invasive femoral SBP. The area under the receiver operating characteristic (ROC) curve for the ability of the APTT to detect ≥30% decreases in femoral SBP was 0.903 (95% confidential interval, 0.895–0.911). In addition, the APTT performed better than the cPTT and RR interval in the above analysis (all P < 0.05). Therefore, the APTT has acceptable accuracy in tracking beat-to-beat femoral SBP and could detect substantially decreased femoral SBP. These findings indicate that the APTT may be a promising noninvasive surrogate for invasive femoral SBP during VA. A multiparameter model combining APTT and other parameters is needed to further improve the accuracy.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. John RM, Tedrow UB, Koplan BA, Albert CM, Epstein LM, Sweeney MO, et al. Ventricular arrhythmias and sudden cardiac death. Lancet. 2012;380:1520–9.

    Article  Google Scholar 

  2. Al-Khatib SM, Stevenson WG, Ackerman MJ, Bryant WJ, Callans DJ, Curtis AB, et al. 2017 AHA/ACC/HRS guideline for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Rhythm Society. J Am Coll Cardiol. 2018;72:e91–e220.

    Article  Google Scholar 

  3. Benchimol A, Ellis JG, Dimond EG, Wu T. Hemodynamic consequences of atrial and ventricular arrhythmias in man. Am Heart J. 1965;70:775–88.

    Article  CAS  Google Scholar 

  4. McGhee BH, Bridges EJ. Monitoring arterial blood pressure: what you may not know. Crit Care Nurse. 2002;22:60–64. 66-70, 73 passim.

    Article  Google Scholar 

  5. Lakhal K, Ehrmann S, Martin M, Faiz S, Réminiac F, Cinotti R, et al. Blood pressure monitoring during arrhythmia: agreement between automated brachial cuff and intra-arterial measurements. Br J Anaesth. 2015;115:540–9.

    Article  CAS  Google Scholar 

  6. Lakhal K, Ehrmann S, Boulain T. Noninvasive BP monitoring in the critically Ill: time to abandon the arterial catheter? Chest. 2018;153:1023–39.

    Article  Google Scholar 

  7. O’Brien E, Asmar R, Beilin L, Imai Y, Mallion JM, Mancia G, et al. European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement. J Hypertens. 2003;21:821–48.

    Article  Google Scholar 

  8. Scheer B, Perel A, Pfeiffer UJ. Clinical review: complications and risk factors of peripheral arterial catheters used for haemodynamic monitoring in anaesthesia and intensive care medicine. Crit Care. 2002;6:199–204.

    Article  Google Scholar 

  9. Gao M, Cheng H-M, Sung S-H, Chen C-H, Olivier NB, Mukkamala R. Estimation of pulse transit time as a function of blood pressure using a nonlinear arterial tube-load model. IEEE Trans Biomed Eng. 2016;64:1524–34.

    Article  Google Scholar 

  10. Mukkamala R, Hahn J-O, Inan OT, Mestha LK, Kim C-S, Töreyin H, et al. Toward ubiquitous blood pressure monitoring via pulse transit time: theory and practice. IEEE Trans Biomed Eng. 2015;62:1879–901.

    Article  Google Scholar 

  11. Block RC, Yavarimanesh M, Natarajan K, Carek A, Mousavi A, Chandrasekhar A, et al. Conventional pulse transit times as markers of blood pressure changes in humans. Sci Rep. 2020;10:1–9.

    Article  Google Scholar 

  12. Ding X, Zhang YT. Pulse transit time technique for cuffless unobtrusive blood pressure measurement: from theory to algorithm. Biomed Eng Lett. 2019;9:37–52.

    Article  Google Scholar 

  13. Ding XR, Zhang YT, Liu J, Dai WX, Tsang HK. Continuous cuffless blood pressure estimation using pulse transit time and photoplethysmogram intensity ratio. IEEE Trans Biomed Eng. 2016;63:964–72.

    Article  Google Scholar 

  14. Miao F, Fu N, Zhang YT, Ding XR, Hong X, He Q, et al. A novel continuous blood pressure estimation approach based on data mining techniques. IEEE J Biomed Health Inf. 2017;21:1730–40.

    Article  Google Scholar 

  15. Miao F, Liu ZD, Liu JK, Wen B, He QY, Li Y. Multi-sensor fusion approach for cuff-less blood pressure measurement. IEEE J Biomed Health Inf. 2020;24:79–91.

    Article  Google Scholar 

  16. Wippermann CF, Schranz D, Huth RG. Evaluation of the pulse wave arrival time as a marker for blood pressure changes in critically ill infants and children. J Clin Monit. 1995;11:324–8.

    Article  CAS  Google Scholar 

  17. Kim SH, Song JG, Park JH, Kim JW, Park YS, Hwang GS. Beat-to-beat tracking of systolic blood pressure using noninvasive pulse transit time during anesthesia induction in hypertensive patients. Anesth Analg. 2013;116:94–100.

    Article  Google Scholar 

  18. Payne RA, Symeonides CN, Webb DJ, Maxwell SR. Pulse transit time measured from the ECG: an unreliable marker of beat-to-beat blood pressure. J Appl Physiol. 2006;100:136–41.

    Article  CAS  Google Scholar 

  19. John Camm A, Nisam S. European utilization of the implantable defibrillator: has 10 years changed the ‘enigma’? Europace. 2010;12:1063–9.

    Article  CAS  Google Scholar 

  20. Lee J, Sohn J, Park J, Yang S, Lee S, Kim HC. Novel blood pressure and pulse pressure estimation based on pulse transit time and stroke volume approximation. Biomed Eng Online. 2018;17:81.

    Article  Google Scholar 

  21. Barral J-P, Croibier A. Circulatory physiology. In: Barral J-P, Croibier A, eds. Visceral vascular manipulations. London UK: Churchill Livingstone Elsevier; 2011. p. 27–45.

  22. Vlachopoulos C, O’Rourke M, Nichols WW. McDonald’s blood flow in arteries: theoretical, experimental and clinical principles, 6th edn. Boca Raton, FL, USA: CRC Press; 2011.

  23. Samet P. Hemodynamic sequelae of cardiac arrhythmias. Circulation. 1973;47:399–407.

    Article  CAS  Google Scholar 

  24. Lin WH, Ji N, Wang L, Li G. A characteristic filtering method for pulse wave signal quality. Assess Annu Int Conf IEEE Eng Med Biol Soc. 2019;2019:603–6.

    Google Scholar 

  25. Nabeel P, Kiran VR, Joseph J, Abhidev V, Sivaprakasam M. Local pulse wave velocity: theory, methods, advancements, and clinical applications. IEEE Rev Biomed Eng. 2019;13:74–112.

    Article  Google Scholar 

  26. Williams B, Mancia G, Spiering W, Agabiti Rosei E, Azizi M, Burnier M, et al. 2018 ESC/ESH Guidelines for the management of arterial hypertension: The Task Force for the management of arterial hypertension of the European Society of Cardiology (ESC) and the European Society of Hypertension (ESH). Eur Heart J. 2018;39:3021–104.

    Article  Google Scholar 

  27. Baek HJ, Kim KK, Kim JS, Lee B, Park KS. Enhancing the estimation of blood pressure using pulse arrival time and two confounding factors. Physiological Meas. 2009;31:145.

    Article  Google Scholar 

  28. Putyatina YS. Measurement of arterial blood pressure by processing pulse wave data. In: Proceedings 3rd annual Siberian Russian workshop on electron devices and materials (Erlagol, Russia). IEEE; 2002. p. 77–8. https://doi.org/10.1109/SREDM.2002.1024395.

  29. Lin WH, Wang H, Samuel OW, Liu G, Huang Z, Li G. New photoplethysmogram indicators for improving cuffless and continuous blood pressure estimation accuracy. Physiol Meas. 2018;39:025005.

    Article  Google Scholar 

  30. Li Y, Wang Z, Zhang L, Yang X, Song J. Characters available in photoplethysmogram for blood pressure estimation: beyond the pulse transit time. Australas Phys Eng Sci Med. 2014;37:367–76.

    Article  Google Scholar 

  31. Stergiou GS, Alpert B, Mieke S, Asmar R, Atkins N, Eckert S, et al. A universal standard for the validation of blood pressure measuring devices: Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization (AAMI/ESH/ISO) Collaboration Statement. Hypertension. 2018;71:368–74.

    Article  CAS  Google Scholar 

  32. Ding XR, Zhao N, Yang GZ, Pettigrew RI, Lo B, Miao F, et al. Continuous blood pressure measurement from invasive to unobtrusive: celebration of 200th birth anniversary of Carl Ludwig. IEEE J Biomed Health Inf. 2016;20:1455–65.

    Article  Google Scholar 

  33. Sharwood-Smith G, Bruce J, Drummond G. Assessment of pulse transit time to indicate cardiovascular changes during obstetric spinal anaesthesia. Br J Anaesth. 2006;96:100–5.

    Article  CAS  Google Scholar 

  34. Wagner DR, Roesch N, Harpes P, Körtke H, Plumer P, Saberin A, et al. Relationship between pulse transit time and blood pressure is impaired in patients with chronic heart failure. Clin Res Cardiol. 2010;99:657–64.

    Article  Google Scholar 

  35. Newlin DB. Relationships of pulse transmission times to pre-ejection period and blood pressure. Psychophysiology. 1981;18:316–21.

    Article  CAS  Google Scholar 

  36. Ding X, Zhang Y, Tsang HK. Impact of heart disease and calibration interval on accuracy of pulse transit time-based blood pressure estimation. Physiol Meas. 2016;37:227–37.

    Article  Google Scholar 

  37. Masè M, Mattei W, Cucino R, Faes L, Nollo G. Feasibility of cuff-free measurement of systolic and diastolic arterial blood pressure. J Electrocardiol. 2011;44:201–7.

    Article  Google Scholar 

  38. Mühlsteff J, Aubert XL, Schuett M. Cuffless estimation of systolic blood pressure for short effort bicycle tests: the prominent role of the pre-ejection period In: Conf Proc IEEE Eng Med Biol Soc. IEEE; 2006. p. 5088–92. https://doi.org/10.1109/IEMBS.2006.260275.

  39. Instrumentation A. Non-invasive sphygmomanometers-part 2: clinical validation of automated measurement type. Arlington, VA: American National Standard Arlington, VA, USA: Association for the Advancement of Medical Instrumentation; 2013.

  40. Pagonas N, Schmidt S, Eysel J, Compton F, Hoffmann C, Seibert F, et al. Impact of atrial fibrillation on the accuracy of oscillometric blood pressure monitoring. Hypertension. 2013;62:579–84.

    Article  CAS  Google Scholar 

  41. Ohuchi H, Ohashi H, Watanabe K, Yamada O, Yagihara T, Echigo S. Blood pressure dynamics during simulated ventricular tachycardia in patients after right ventricular outflow tract reconstruction mainly for tetralogy of Fallot compared with patients after ventricular septal defect closure. Am J Cardiol. 2004;93:1445–8. a1412.

    Article  Google Scholar 

  42. Armstrong MK, Schultz MG, Picone DS, Black JA, Dwyer N, Roberts-Thomson P, et al. Brachial and radial systolic blood pressure are not the same. Hypertension. 2019;73:1036–41.

    Article  CAS  Google Scholar 

  43. Chauhan S, Saxena N, Mehrotra S, Rao BH, Sahu M. Femoral artery pressures are more reliable than radial artery pressures on initiation of cardiopulmonary bypass. J Cardiothorac Vasc Anesth. 2000;14:274–6.

    Article  CAS  Google Scholar 

  44. Galluccio ST, Chapman MJ, Finnis ME. Femoral-radial arterial pressure gradients in critically ill patients. Crit Care Resusc. 2009;11:34–8.

    PubMed  Google Scholar 

Download references

Acknowledgements

This study was supported in part by the National Natural Science Foundation of China (Nos. 61771465, U1913210), the Shenzhen Science and Technology Projects (No. JCYJ20180703145202065), and the Strategic Priority CAS Project (XDB38040200, XDB38060100). We would like to thank AJE (http://www.aje.com/) for English language editing.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Min Tang.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Miao, F., Zhou, B., Liu, Z. et al. Using noninvasive adjusted pulse transit time for tracking beat-to-beat systolic blood pressure during ventricular arrhythmia. Hypertens Res 45, 424–435 (2022). https://doi.org/10.1038/s41440-021-00795-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41440-021-00795-y

Keywords

This article is cited by

Search

Quick links