Noninvasive pulse pressure variation and stroke volume variation to predict fluid responsiveness at multiple thresholds: a prospective observational study
Jaap Jan Vos, Marieke Poterman, Pieternel Papineau Salm, Kai Van Amsterdam, Michel M R F Struys, Thomas W L Scheeren, Alain F Kalmar, Jaap Jan Vos, Marieke Poterman, Pieternel Papineau Salm, Kai Van Amsterdam, Michel M R F Struys, Thomas W L Scheeren, Alain F Kalmar
Abstract
Background: Pulse pressure variation (PPV) and stroke volume variation (SVV) are dynamic preload variables that can be measured noninvasively to assess fluid responsiveness (FR) in anesthetized patients with mechanical ventilation. Few studies have examined the effectiveness of predicting FR according to the definition of FR, and assessment of inconclusive values of PPV and SVV around the cut-off value (the "grey zone") might improve individual FR prediction. We explored the ability of noninvasive volume clamp derived measurements of PPV and SVV to predict FR using the grey zone approach, and we assessed the influence of multiple thresholds on the predictive ability of the numerical definition of FR.
Methods: Ninety patients undergoing general surgery were included in this prospective observational study and received a 500 mL fluid bolus as deemed clinically required by the attending anesthesiologist. A minimal relative increase in stroke volume index (↑SVI) was used to define FR with different thresholds from 10-25%. The PPV, SVV, and SVI were measured using the Nexfin® device that employs noninvasive volume clamp plethysmography.
Results: The area under the receiver operator characteristic curve gradually increased for PPV / SVV with higher threshold values (from 0.818 / 0.760 at 10% ↑SVI to 0.928 / 0.944 at 25% ↑SVI). The grey zone limits of both PPV and SVV changed from 9-16% (PPV) and 5-13% (SVV) at the 10% ↑SVI threshold to 18-21% (PPV) and 14-16% (SVV) at the 25% ↑SVI threshold.
Conclusion: Noninvasive PPV and SVV measurements allow an acceptable FR prediction, although the reliability of both variables is dependent on the intended increase in SVI, which improves substantially with concomitant smaller grey zones at higher ↑SVI thresholds.
Figures
References
- Marik PE, Cavallazzi R, Vasu T, Hirani A. Dynamic changes in arterial waveform derived variables and fluid responsiveness in mechanically ventilated patients: a systematic review of the literature. Crit Care Med. 2009;37:2642–2647. doi: 10.1097/CCM.0b013e3181a590da.
- Pinsky MR. Heart lung interactions during mechanical ventilation. Curr Opin Crit Care. 2012;18:256–260. doi: 10.1097/MCC.0b013e3283532b73.
- Osman D, Ridel C, Ray P, et al. Cardiac filling pressures are not appropriate to predict hemodynamic response to volume challenge. Crit Care Med. 2007;35:64–68. doi: 10.1097/01.CCM.0000249851.94101.4F.
- Michard F, Teboul JL. Predicting fluid responsiveness in ICU patients: a critical analysis of the evidence. Chest. 2002;121:2000–2008. doi: 10.1378/chest.121.6.2000.
- Hofer CK, Cecconi M, Marx G, della Rocca G. Minimally invasive haemodynamic monitoring. Eur J Anaesthesiol. 2009;26:996–1002. doi: 10.1097/EJA.0b013e3283300d55.
- Vos JJ, Poterman M, Mooyaart EA, et al. Comparison of continuous non-invasive finger arterial pressure monitoring with conventional intermittent automated arm arterial pressure measurement in patients under general anaesthesia. Br J Anaesth. 2014;113:67–74. doi: 10.1093/bja/aeu091.
- Chen G, Meng L, Alexander B, Tran NP, Kain ZN, Cannesson M. Comparison of noninvasive cardiac output measurements using the Nexfin monitoring device and the esophageal Doppler. J Clin Anesth. 2012;24:275–283. doi: 10.1016/j.jclinane.2011.08.014.
- Bogert LW, Wesseling KH, Schraa O, et al. Pulse contour cardiac output derived from non-invasive arterial pressure in cardiovascular disease. Anaesthesia. 2010;65:1119–1125. doi: 10.1111/j.1365-2044.2010.06511.x.
- Vos JJ, Kalmar AF, Struys MM, Wietasch JK, Hendriks HG, Scheeren TW. Comparison of arterial pressure and plethysmographic waveform-based dynamic preload variables in assessing fluid responsiveness and dynamic arterial tone in patients undergoing major hepatic resection. Br J Anaesth. 2013;110:940–946. doi: 10.1093/bja/aes508.
- Lansdorp B, Ouweneel D, de Keijzer A, van der Hoeven JG, Lemson J, Pickkers P. Non-invasive measurement of pulse pressure variation and systolic pressure variation using a finger cuff corresponds with intra-arterial measurement. Br J Anaesth. 2011;107:540–545. doi: 10.1093/bja/aer187.
- Zimmermann M, Feibicke T, Keyl C, et al. Accuracy of stroke volume variation compared with pleth variability index to predict fluid responsiveness in mechanically ventilated patients undergoing major surgery. Eur J Anaesthesiol. 2010;27:555–561.
- Cannesson M, Le Manach Y, Hofer CK, et al. Assessing the diagnostic accuracy of pulse pressure variations for the prediction of fluid responsiveness: a “gray zone” approach. Anesthesiology. 2011;115:231–241. doi: 10.1097/ALN.0b013e318225b80a.
- Guinot PG, de Broca B, Bernard E, Abou Arab O, Lorne E, Dupont H. Respiratory stroke volume variation assessed by oesophageal Doppler monitoring predicts fluid responsiveness during laparoscopy. Br J Anaesth. 2014;112:660–664. doi: 10.1093/bja/aet430.
- Ray P, Le Manach Y, Riou B, Houle TT. Statistical evaluation of a biomarker. Anesthesiology. 2010;112:1023–1040. doi: 10.1097/ALN.0b013e3181d47604.
- Wyffels PA, Sergeant P, Wouters PF. The value of pulse pressure and stroke volume variation as predictors of fluid responsiveness during open chest surgery. Anaesthesia. 2010;65:704–709. doi: 10.1111/j.1365-2044.2010.06371.x.
- Martina JR, Westerhof BE, van Goudoever J, et al. Noninvasive continuous arterial blood pressure monitoring with Nexfin(R) Anesthesiology. 2012;116:1092–1103. doi: 10.1097/ALN.0b013e31824f94ed.
- Thiele RH, Bartels K, Gan TJ. Inter-device differences in monitoring for goal-directed fluid therapy. Can J Anesth. 2015;62:169–181. doi: 10.1007/s12630-014-0265-z.
- Sing T, Sander O, Beerenwinkel N, Lengauer T. ROCR: visualizing classifier performance in R. Bioinformatics. 2005;21:3940–3941. doi: 10.1093/bioinformatics/bti623.
- ©The R Foundation. The R Project for Statistical Computing. Vienna, Austria - 2012. Available from URL: (accessed April 2015).
- Monnet X, Dres M, Ferre A, et al. Prediction of fluid responsiveness by a continuous non-invasive assessment of arterial pressure in critically ill patients: comparison with four other dynamic indices. Br J Anaesth. 2012;109:330–338. doi: 10.1093/bja/aes182.
- Solus-Biguenet H, Fleyfel M, Tavernier B, et al. Non-invasive prediction of fluid responsiveness during major hepatic surgery. Br J Anaesth. 2006;97:808–816. doi: 10.1093/bja/ael250.
- Nordstrom J, Hallsjo-Sander C, Shore R, Bjorne H. Stroke volume optimization in elective bowel surgery: a comparison between pulse power wave analysis (LiDCOrapid) and oesophageal Doppler (CardioQ) Br J Anaesth. 2013;110:374–380. doi: 10.1093/bja/aes399.
- De Hert SG. Assessment of fluid responsiveness: insights in a “gray zone”. Anesthesiology. 2011;115:229–230. doi: 10.1097/ALN.0b013e318225b82c.
- Stover JF, Stocker R, Lenherr R, et al. Noninvasive cardiac output and blood pressure monitoring cannot replace an invasive monitoring system in critically ill patients. BMC Anesthesiol. 2009;9:6. doi: 10.1186/1471-2253-9-6.
- Fischer MO, Avram R, Carjaliu I, et al. Non-invasive continuous arterial pressure and cardiac index monitoring with Nexfin after cardiac surgery. Br J Anaesth. 2012;109:514–521. doi: 10.1093/bja/aes215.
- Broch O, Renner J, Gruenewald M, et al. A comparison of the Nexfin(R) and transcardiopulmonary thermodilution to estimate cardiac output during coronary artery surgery. Anaesthesia. 2012;67:377–383. doi: 10.1111/j.1365-2044.2011.07018.x.
- Fischer MO, Coucoravas J, Truong J, et al. Assessment of changes in cardiac index and fluid responsiveness: a comparison of Nexfin and transpulmonary thermodilution. Acta Anaesthesiol Scand. 2013;57:704–712. doi: 10.1111/aas.12108.
- Bubenek-Turconi SI, Craciun M, Miclea I, Perel A. Noninvasive continuous cardiac output by the Nexfin before and after preload-modifying maneuvers: a comparison with intermittent thermodilution cardiac output. Anesth Analg. 2013;117:366–372. doi: 10.1213/ANE.0b013e31829562c3.
- Critchley LA, Lee A, Ho AM. A critical review of the ability of continuous cardiac output monitors to measure trends in cardiac output. Anesth Analg. 2010;111:1180–1192. doi: 10.1213/ANE.0b013e3181f08a5b.
- Cannesson M, Le Manach Y. Noninvasive hemodynamic monitoring: no high heels on the farm; no clogs to the opera. Anesthesiology. 2012;117:937–939. doi: 10.1097/ALN.0b013e3182700ad6.
- Maguire S, Rinehart J, Vakharia S, Cannesson M. Technical communication: respiratory variation in pulse pressure and plethysmographic waveforms: intraoperative applicability in a North American academic center. Anesth Analg. 2011;112:94–96. doi: 10.1213/ANE.0b013e318200366b.
- Lansdorp B, Lemson J, van Putten MJ, de Keijzer A, van der Hoeven JG, Pickkers P. Dynamic indices do not predict volume responsiveness in routine clinical practice. Br J Anaesth. 2012;108:395–401. doi: 10.1093/bja/aer411.
Source: PubMed