Closed-loop assisted versus manual goal-directed fluid therapy during high-risk abdominal surgery: a case-control study with propensity matching

Joseph Rinehart, Marc Lilot, Christine Lee, Alexandre Joosten, Trish Huynh, Cecilia Canales, David Imagawa, Aram Demirjian, Maxime Cannesson, Joseph Rinehart, Marc Lilot, Christine Lee, Alexandre Joosten, Trish Huynh, Cecilia Canales, David Imagawa, Aram Demirjian, Maxime Cannesson

Abstract

Introduction: Goal-directed fluid therapy strategies have been shown to benefit moderate- to high-risk surgery patients. Despite this, these strategies are often not implemented. The aim of this study was to assess a closed-loop fluid administration system in a surgical cohort and compare the results with those for matched patients who received manual management. Our hypothesis was that the patients receiving closed-loop assistance would spend more time in a preload-independent state, defined as percentage of case time with stroke volume variation less than or equal to 12%.

Methods: Patients eligible for the study were all those over 18 years of age scheduled for hepatobiliary, pancreatic or splenic surgery and expected to receive intravascular arterial blood pressure monitoring as part of their anesthetic care. The closed-loop resuscitation target was selected by the primary anesthesia team, and the system was responsible for implementation of goal-directed fluid therapy during surgery. Following completion of enrollment, each study patient was matched to a non-closed-loop assisted case performed during the same time period using a propensity match to reduce bias.

Results: A total of 40 patients were enrolled, 5 were ultimately excluded and 25 matched pairs were selected from among the remaining 35 patients within the predefined caliper distance. There was no significant difference in fluid administration between groups. The closed-loop group spent a significantly higher portion of case time in a preload-independent state (95 ± 6% of case time versus 87 ± 14%, P =0.008). There was no difference in case mean or final stroke volume index (45 ± 10 versus 43 ± 9 and 45 ± 11 versus 42 ± 11, respectively) or mean arterial pressure (79 ± 8 versus 83 ± 9). Case end heart rate was significantly lower in the closed-loop assisted group (77 ± 10 versus 88 ± 13, P =0.003).

Conclusion: In this case-control study with propensity matching, clinician use of closed-loop assistance resulted in a greater portion of case time spent in a preload-independent state throughout surgery compared with manual delivery of goal-directed fluid therapy.

Trial registration: ClinicalTrials.gov Identifier: NCT02020863. Registered 19 December 2013.

Figures

Figure 1
Figure 1
Manual goal-directed fluid therapy protocol. The protocol that anesthesia providers utilize in moderate- and high-risk surgery cases at University of California Irvine Medical Center and that was applied to the patients in the manual group. C.I., Cardiac index; IBW, Ideal body weight; SV, Stroke volume; SVV, Stroke volume variation.
Figure 2
Figure 2
Recruitment and case-matching process. Potential subjects were recruited throughout the study period. At the end of recruitment, and after excluding five cases due to aborted procedures or decision to proceed without an arterial line, there were thirty-five study cases in the closed-loop assisted group. During the same time period, 60 other patients who met the inclusion criteria received manual goal-directed fluid therapy (GDFT). All 35 study patients and 60 manual group patients were run in a propensity match process, after which each closed-loop assisted patient was matched to the closest possible manual patient, leaving 35 patients in each group. ASA, American Society of Anesthesiologists Physical Status patient classification; HR, Heart rate; MAP, Mean arterial pressure; SVI, Stroke Volume Index.
Figure 3
Figure 3
Hemodynamics for the first 5 hours of all cases. Each graph is an overlay of all 25 patients in the group. Only the first 300 minutes of cases (if longer than 5 hours) are shown.
Figure 4
Figure 4
Goal-directed fluid therapy compliance by group. Box plots for the manual and closed-loop assisted groups, including outliers, are shown. The closed-loop assistance not only improved mean compliance to goal-directed fluid therapy (GDT) principles but also substantially reduced the variability in compliance within the group (manual group compliance standard deviation (SD) =14%, closed-loop group compliance SD =6%). Asterisks represent outliers, dot represent extreme outliers.

References

    1. Scheeren TW, Wiesenack C, Gerlach H, Marx G. Goal-directed intraoperative fluid therapy guided by stroke volume and its variation in high-risk surgical patients: a prospective randomized multicentre study. J Clin Monit Comput. 2013;27:225–33. doi: 10.1007/s10877-013-9461-6.
    1. Salzwedel C, Puig J, Carstens A, Bein B, Molnar Z, Kiss K, et al. Perioperative goal-directed hemodynamic therapy based on radial arterial pulse pressure variation and continuous cardiac index trending reduces postoperative complications after major abdominal surgery: a multi-center, prospective, randomized study. Crit Care. 2013;17:R191. doi: 10.1186/cc12885.
    1. Aya HD, Cecconi M, Hamilton M, Rhodes A. Goal-directed therapy in cardiac surgery: a systematic review and meta-analysis. Br J Anaesth. 2013;110:510–7. doi: 10.1093/bja/aet020.
    1. Hamilton MA, Cecconi M, Rhodes A. A systematic review and meta-analysis on the use of preemptive hemodynamic intervention to improve postoperative outcomes in moderate and high-risk surgical patients. Anesth Analg. 2011;112:1392–402. doi: 10.1213/ANE.0b013e3181eeaae5.
    1. Pearse RM, Harrison DA, MacDonald N, Gillies MA, Blunt M, Ackland G, et al. Effect of a perioperative, cardiac output-guided hemodynamic therapy algorithm on outcomes following major gastrointestinal surgery: a randomized clinical trial and systematic review. JAMA. 2014;311:2181–90. doi: 10.1001/jama.2014.5305.
    1. National Institute for Health and Care Excellence (NICE). NICE medical technology guidance [MTG3]. Published March 2011. Updated 4 May 4 2011. . Accessed 16 Mar 2015.
    1. Vallet B, Blanloeil Y, Cholley B, Orliaguet G, Pierre S, Tavernier B. Guidelines for perioperative haemodynamic optimization. Ann Fr Anesth Reanim. 2013;32:e151–8. doi: 10.1016/j.annfar.2013.09.010.
    1. European Society of Anaesthesiology. Perioperative goal-directed therapy protocol summary. . Accessed 16 Mar 2015.
    1. Cannesson M, Pestel G, Ricks C, Hoeft A, Perel A. Hemodynamic monitoring and management in patients undergoing high risk surgery: a survey among North American and European anesthesiologists. Crit Care. 2011;15:R197. doi: 10.1186/cc10364.
    1. Gill F, Corkish V, Robertson J, Samson J, Simmons B, Stewart D. An exploration of pediatric nurses’ compliance with a medication checking and administration protocol. J Spec Pediatr Nurs. 2012;17:136–46. doi: 10.1111/j.1744-6155.2012.00331.x.
    1. Lipton JA, Barendse RJ, Schinkel AF, Akkerhuis KM, Simoons ML, Sijbrands EJ. Impact of an alerting clinical decision support system for glucose control on protocol compliance and glycemic control in the intensive cardiac care unit. Diabetes Technol Ther. 2011;13:343–9. doi: 10.1089/dia.2010.0100.
    1. Spanjersberg WR, Bergs EA, Mushkudiani N, Klimek M, Schipper IB. Protocol compliance and time management in blunt trauma resuscitation. Emerg Med J. 2009;26:23–7. doi: 10.1136/emj.2008.058073.
    1. MacKworth NH. The breakdown of vigilance during prolonged visual search. Q J Exp Psychol. 1948;1:6–21. doi: 10.1080/17470214808416738.
    1. Liu N, Chazot T, Genty A, Landais A, Restoux A, McGee K, et al. Titration of propofol for anesthetic induction and maintenance guided by the bispectral index: closed-loop versus manual control: a prospective, randomized, multicenter study. Anesthesiology. 2006;104:686–95. doi: 10.1097/00000542-200604000-00012.
    1. Dussaussoy C, Peres M, Jaoul V, Liu N, Chazot T, Picquet J, et al. Automated titration of propofol and remifentanil decreases the anesthesiologist’s workload during vascular or thoracic surgery: a randomized prospective study. J Clin Monit Comput. 2014;28:35–40. doi: 10.1007/s10877-013-9453-6.
    1. Cannesson M, Rinehart J. Closed-loop systems and automation in the era of patients safety and perioperative medicine. J Clin Monit Comput. 2014;28:1–3. doi: 10.1007/s10877-013-9537-3.
    1. Rinehart J, Chung E, Canales C, Cannesson M. Intraoperative stroke volume optimization using stroke volume, arterial pressure, and heart rate: closed-loop (learning intravenous resuscitator) versus anesthesiologists. J Cardiothorac Vasc Anesth. 2012;26:933–9. doi: 10.1053/j.jvca.2012.05.015.
    1. Rinehart J, Alexander B, Le Manach Y, Hofer C, Tavernier B, Kain ZN, et al. Evaluation of a novel closed-loop fluid-administration system based on dynamic predictors of fluid responsiveness: an in silico simulation study. Crit Care. 2011;15:R278. doi: 10.1186/cc10562.
    1. Rinehart J, Lee C, Cannesson M, Dumont G. Closed-loop fluid resuscitation: robustness against weight and cardiac contractility variations. Anesth Analg. 2013;117:1110–8. doi: 10.1213/ANE.0b013e3182930050.
    1. Rinehart J, Lee C, Canales C, Kong A, Kain Z, Cannesson M. Closed-loop fluid administration compared to anesthesiologist management for hemodynamic optimization and resuscitation during surgery: an in vivo study. Anesth Analg. 2013;117:1119–29. doi: 10.1213/ANE.0b013e3182937d61.
    1. Rinehart J, Le Manach Y, Douiri H, Lee C, Lilot M, Le K, et al. First closed-loop goal directed fluid therapy during surgery: a pilot study. Ann Fr Anesth Reanim. 2014;33:e35–41. doi: 10.1016/j.annfar.2013.11.016.
    1. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370:1453–7. doi: 10.1016/S0140-6736(07)61602-X.
    1. Department of Anesthesiology & Perioperative Care, University of California, Irvine. Goal-directed therapy. . Accessed 16 Mar 2015.
    1. Newgard CD, Hedges JR, Arthur M, Mullins RJ. Advanced statistics: the propensity score—a method for estimating treatment effect in observational research. Acad Emerg Med. 2004;11:953–61.
    1. Rosenbaum PR, Rubin DB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70:41–55. doi: 10.1093/biomet/70.1.41.
    1. Bennett-Guerrero E, Welsby I, Dunn TJ, Young LR, Wahl TA, Diers TL, et al. The use of a postoperative morbidity survey to evaluate patients with prolonged hospitalization after routine, moderate-risk, elective surgery. Anesth Analg. 1999;89:514–9.
    1. Cecconi M, Dawson D, Casaretti R, Grounds RM, Rhodes A. A prospective study of the accuracy and precision of continuous cardiac output monitoring devices as compared to intermittent thermodilution. Minerva Anestesiol. 2010;76:1010–7.
    1. Hadian M, Kim HK, Severyn DA, Pinsky MR. Cross-comparison of cardiac output trending accuracy of LiDCO, PiCCO, FloTrac and pulmonary artery catheters. Crit Care. 2010;14:R212. doi: 10.1186/cc9335.
    1. Austin PC, Grootendorst P, Anderson GM. A comparison of the ability of different propensity score models to balance measured variables between treated and untreated subjects: a Monte Carlo study. Stat Med. 2007;26:734–53. doi: 10.1002/sim.2580.
    1. Rinehart J, Liu N, Alexander B, Cannesson M. Review article: closed-loop systems in anesthesia: is there a potential for closed-loop fluid management and hemodynamic optimization? Anesth Analg. 2012;114:130–43. doi: 10.1213/ANE.0b013e318230e9e0.

Source: PubMed

3
購読する