Dynamic arterial elastance as a predictor of arterial pressure response to fluid administration: a validation study

Manuel Ignacio Monge García, Manuel Gracia Romero, Anselmo Gil Cano, Hollmann D Aya, Andrew Rhodes, Robert Michael Grounds, Maurizio Cecconi, Manuel Ignacio Monge García, Manuel Gracia Romero, Anselmo Gil Cano, Hollmann D Aya, Andrew Rhodes, Robert Michael Grounds, Maurizio Cecconi

Abstract

Introduction: Functional assessment of arterial load by dynamic arterial elastance (Eadyn), defined as the ratio between pulse pressure variation (PPV) and stroke volume variation (SVV), has recently been shown to predict the arterial pressure response to volume expansion (VE) in hypotensive, preload-dependent patients. However, because both SVV and PPV were obtained from pulse pressure analysis, a mathematical coupling factor could not be excluded. We therefore designed this study to confirm whether Eadyn, obtained from two independent signals, allows the prediction of arterial pressure response to VE in fluid-responsive patients.

Methods: We analyzed the response of arterial pressure to an intravenous infusion of 500 ml of normal saline in 53 mechanically ventilated patients with acute circulatory failure and preserved preload dependence. Eadyn was calculated as the simultaneous ratio between PPV (obtained from an arterial line) and SVV (obtained by esophageal Doppler imaging). A total of 80 fluid challenges were performed (median, 1.5 per patient; interquartile range, 1 to 2). Patients were classified according to the increase in mean arterial pressure (MAP) after fluid administration in pressure responders (≥ 10%) and non-responders.

Results: Thirty-three fluid challenges (41.2%) significantly increased MAP. At baseline, Eadyn was higher in pressure responders (1.04 ± 0.28 versus 0.60 ± 0.14; P < 0.0001). Preinfusion Eadyn was related to changes in MAP after fluid administration (R (2) = 0.60; P < 0.0001). At baseline, Eadyn predicted the arterial pressure increase to volume expansion (area under the receiver operating characteristic curve, 0.94; 95% confidence interval (CI): 0.86 to 0.98; P < 0.0001). A preinfusion Eadyn value ≥ 0.73 (gray zone: 0.72 to 0.88) discriminated pressure responder patients with a sensitivity of 90.9% (95% CI: 75.6 to 98.1%) and a specificity of 91.5% (95% CI: 79.6 to 97.6%).

Conclusions: Functional assessment of arterial load by Eadyn, obtained from two independent signals, enabled the prediction of arterial pressure response to fluid administration in mechanically ventilated, preload-dependent patients with acute circulatory failure.

Figures

Figure 1
Figure 1
An illustrative example of the arterial pressure and aortic blood flow recordings is shown. Both signals are integrated into the esophageal Doppler system for analysis: the arterial pressure waveform from the patient’s bedside monitor and the aortic blood flow from the Doppler probe. Dynamic arterial elastance was calculated as the ratio between pulse pressure variation and stroke volume variation. All variables are automatically calculated by the Doppler monitor, which combines the arterial pressure analysis with the usual aortic blood flow measurements.
Figure 2
Figure 2
Individual changes in cardiac output and mean arterial pressure after fluid administration.
Figure 3
Figure 3
Distribution of individual values (open circles) and mean ± SD (lines) of arterial load variables before fluid administration in pressure responders. The dashed line represents the optimal cutoff for dynamic arterial elastance corresponding to maximum Youden index, and dotted lines depict the “gray zone” calculated from bootstrapped 95% confidence interval (0.72 to 0.88). MAP-R, Mean arterial pressure responders defined by increase ≥10%; MAP-NR, Mean arterial pressure non-responders defined by increase <10%. *P <0.0001 for MAP-R vs. MAP-NR.
Figure 4
Figure 4
Linear regression analysis of the relationship between preinfusion dynamic arterial elastance (Eadyn) and changes in arterial pressure induced by fluid administration. DAP: diastolic arterial pressure; MAP: mean arterial pressure; SAP: systolic arterial pressure; PP: arterial pulse pressure.
Figure 5
Figure 5
Comparison of receiver operating characteristic curves for testing the ability of static and dynamic arterial load variables to detect a mean arterial pressure increase ≥10% after volume administration. Dynamic arterial elastance (Eadyn) = area under the receiver operating characteristic curve (AUC): 0.94 (95% CI: 0.86 to 0.98); effective arterial elastance (Ea) = AUC: 0.53 (95% CI: 0.42 to 0.65); systemic vascular resistance (SVR) = AUC: 0.55 (95% CI: 0.44 to 0.66); net arterial compliance (C) = AUC: 0.51 (95% CI: 0.39 to 0.62); preinfusion MAP = AUC: 0.62 (95% CI: 0.50 to 0.72).

References

    1. Vincent JL, De Backer D. Circulatory shock. N Engl J Med. 2013;369:1726–1734. doi: 10.1056/NEJMra1208943.
    1. Pinsky MR. Both perfusion pressure and flow are essential for adequate resuscitation. Sepsis. 2000;4:143–146. doi: 10.1023/A:1011406921372.
    1. LeDoux D, Astiz ME, Carpati CM, Rackow EC. Effects of perfusion pressure on tissue perfusion in septic shock. Crit Care Med. 2000;28:2729–2732. doi: 10.1097/00003246-200008000-00007.
    1. Antonelli M, Levy M, Andrews PJ, Chastre J, Hudson LD, Manthous C, Meduri GU, Moreno RP, Putensen C, Stewart T, Torres A. Hemodynamic monitoring in shock and implications for management. International Consensus Conference, Paris, France, 27–28 April 2006. Intensive Care Med. 2007;33:575–590. doi: 10.1007/s00134-007-0531-4.
    1. Dellinger RP, Levy MM, Carlet JM, Bion J, Parker MM, Jaeschke R, Reinhart K, Angus DC, Brun-Buisson C, Beale R, Calandra T, Dhainaut JF, Gerlach H, Harvey M, Marini JJ, Marshall J, Ranieri M, Ramsay G, Sevransky J, Thompson BT, Townsend S, Vender JS, Zimmerman JL, Vincent JL. Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock: 2008. Intensive Care Med. 2008;34:17–60. doi: 10.1007/s00134-007-0934-2.
    1. Ochagavía A, Baigorri F, Mesquida J, Ayuela JM, Ferrándiz A, García X, Monge MI, Mateu L, Sabatier C, Clau-Terré F, Vicho R, Zapata L, Maynar J, Gil A, Grupo de Trabajo de Cuidados Intensivos Cardiológicos y RCP de la SEMICYUC [Hemodynamic monitoring in the critically patient: recommendations of the Cardiological Intensive Care and CPR Working Group of the Spanish Society of Intensive Care and Coronary Units] [Article in Spanish] Med Intensiva. 2014;38:154–169. doi: 10.1016/j.medin.2013.10.006.
    1. Nichols WW, O’Rourke M: The nature of flow of a liquid. In McDonald’s Blood Flow in Arteries: Theoretical, Experimental and Clinical Principles. 5th edition. Edited by Nichols WW, O’Rourke M. London: Oxford University Press; 2005:11–48.
    1. Pierrakos C, Velissaris D, Scolletta S, Heenen S, De Backer D, Vincent JL. Can changes in arterial pressure be used to detect changes in cardiac index during fluid challenge in patients with septic shock? Intensive Care Med. 2012;38:422–428. doi: 10.1007/s00134-011-2457-0.
    1. Dufour N, Chemla D, Teboul JL, Monnet X, Richard C, Osman D. Changes in pulse pressure following fluid loading: a comparison between aortic root (non-invasive tonometry) and femoral artery (invasive recordings) Intensive Care Med. 2011;37:942–949. doi: 10.1007/s00134-011-2154-z.
    1. Lakhal K, Ehrmann S, Perrotin D, Wolff M, Boulain T. Fluid challenge: tracking changes in cardiac output with blood pressure monitoring (invasive or non-invasive) Intensive Care Med. 2013;39:1953–1962. doi: 10.1007/s00134-013-3086-6.
    1. Monnet X, Letierce A, Hamzaoui O, Chemla D, Anguel N, Osman D, Richard C, Teboul JL. Arterial pressure allows monitoring the changes in cardiac output induced by volume expansion but not by norepinephrine. Crit Care Med. 2011;39:1394–1399. doi: 10.1097/CCM.0b013e31820edcf0.
    1. Le Manach Y, Hofer CK, Lehot JJ, Vallet B, Goarin JP, Tavernier B, Cannesson M. Can changes in arterial pressure be used to detect changes in cardiac output during volume expansion in the perioperative period? Anesthesiology. 2012;117:1165–1174. doi: 10.1097/ALN.0b013e318275561d.
    1. Monge García MI, Gil Cano A, Gracia Romero M. Dynamic arterial elastance to predict arterial pressure response to volume loading in preload-dependent patients. Crit Care. 2011;15:R15. doi: 10.1186/cc9420.
    1. Pinsky MR: Protocolized cardiovascular management based on ventricular-arterial coupling. In Functional Hemodynamic Monitoring. Edited by Pinsky MR, Payen D. Berlin: Springer-Verlag; 2006:381–395.
    1. Sunagawa K, Maughan WL, Burkhoff D, Sagawa K. Left ventricular interaction with arterial load studied in isolated canine ventricle. Am J Physiol. 1983;245:H773–H780.
    1. Pinsky MR. Defining the boundaries of bedside pulse contour analysis: dynamic arterial elastance. Crit Care. 2011;15:120. doi: 10.1186/cc9986.
    1. Monnet X, Teboul JL. Assessment of volume responsiveness during mechanical ventilation: recent advances. Crit Care. 2013;17:217.
    1. Chemla D, Hébert JL, Coirault C, Zamani K, Suard I, Colin P, Lecarpentier Y. Total arterial compliance estimated by stroke volume-to-aortic pulse pressure ratio in humans. Am J Physiol. 1998;274:H500–H505.
    1. Kelly RP, Ting CT, Yang TM, Liu CP, Maughan WL, Chang MS, Kass DA. Effective arterial elastance as index of arterial vascular load in humans. Circulation. 1992;86:513–521. doi: 10.1161/01.CIR.86.2.513.
    1. Segers P, Stergiopulos N, Westerhof N. Relation of effective arterial elastance to arterial system properties. Am J Physiol Heart Circ Physiol. 2002;282:H1041–H1046.
    1. Pinsky MR: Functional hemodynamic monitoring: applied physiology at the bedside. In Yearbook of Intensive Care and Emergency Medicine. Edited by Vincent JL. Heidelberg: Springer-Verlag; 2002:534–551.
    1. Michard F, Teboul JL. Using heart-lung interactions to assess fluid responsiveness during mechanical ventilation. Crit Care. 2000;4:282–289. doi: 10.1186/cc710.
    1. Guarracino F, Baldassarri R, Pinsky MR. Ventriculo-arterial decoupling in acutely altered hemodynamic states. Crit Care. 2013;17:213. doi: 10.1186/cc12522.
    1. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–845. doi: 10.2307/2531595.
    1. Ray P, Le Manach Y, Riou B, Houle TT. Statistical evaluation of a biomarker. Anesthesiology. 2010;112:1023–1040. doi: 10.1097/ALN.0b013e3181d47604.
    1. Cannesson M, Le Manach Y, Hofer CK, Goarin JP, Lehot JJ, Vallet B, Tavernier B. 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.
    1. MedCalc Statistical Software, MedCalc Software bvba, Ostend, Belgium; 2014. []
    1. Lamia B, Chemla D, Richard C, Teboul JL. Clinical review: interpretation of arterial pressure wave in shock states. Crit Care. 2005;9:601–606. doi: 10.1186/cc3891.
    1. Nichols WW, O’Rourke M. McDonald’s Blood Flow in Arteries: Theoretical, Experimental and Clinical principles. 5. London: Oxford University Press; 2005.
    1. Beck V, Chateau D, Bryson GL, Pisipati A, Zanotti S, Parrillo JE, Kumar A. Timing of vasopressor initiation and mortality in septic shock: a cohort study. Crit Care. 2014;18:R97. doi: 10.1186/cc13868.
    1. Garcia X, Pinsky MR. Clinical applicability of functional hemodynamic monitoring. Ann Intensive Care. 2011;1:35. doi: 10.1186/2110-5820-1-35.
    1. Pinsky MR. Heart lung interactions during mechanical ventilation. Curr Opin Crit Care. 2012;18:256–260. doi: 10.1097/MCC.0b013e3283532b73.
    1. Nichols WW, O’Rourke M: Contours of pressure and flow waves in arteries. In McDonald’s Blood Flow in Arteries: Theoretical, Experimental and Clinical principles. 5th edition. Edited by Nichols WW, O’Rourke M. London: Oxford University Press; 2005:165–191.
    1. Peyton PJ, Chong SW. Minimally invasive measurement of cardiac output during surgery and critical care: a meta-analysis of accuracy and precision. Anesthesiology. 2010;113:1220–1235. doi: 10.1097/ALN.0b013e3181ee3130.
    1. Monnet X, Chemla D, Osman D, Anguel N, Richard C, Pinsky MR, Teboul JL. Measuring aortic diameter improves accuracy of esophageal Doppler in assessing fluid responsiveness. Crit Care Med. 2007;35:477–482. doi: 10.1097/01.CCM.0000254725.35802.17.
    1. Gunn SR, Kim HK, Harrigan PW, Pinsky MR. Ability of pulse contour and esophageal Doppler to estimate rapid changes in stroke volume. Intensive Care Med. 2006;32:1537–1546. doi: 10.1007/s00134-006-0284-5.
    1. Marquez J, McCurry K, Severyn DA, Pinsky MR. Ability of pulse power, esophageal Doppler, and arterial pulse pressure to estimate rapid changes in stroke volume in humans. Crit Care Med. 2008;36:3001–3007. doi: 10.1097/CCM.0b013e31818b31f0.
    1. Guinot PG, de Broca B, Abou Arab O, Diouf M, Badoux L, Bernard E, Lorne E, Dupont H. Ability of stroke volume variation measured by oesophageal Doppler monitoring to predict fluid responsiveness during surgery. Br J Anaesth. 2013;110:28–33. doi: 10.1093/bja/aes301.
    1. 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.
    1. Monge Garcia MI, Gracia Romero M, Gil Cano A, Rhodes A, Grounds RM, Cecconi M. Impact of arterial load on the agreement between pulse pressure analysis and esophageal Doppler. Crit Care. 2013;17:R113. doi: 10.1186/cc12785.
    1. 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.

Source: PubMed

3
Se inscrever