A Randomised feasibility study to assess a novel strategy to rationalise fluid in patients after cardiac surgery

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1 British Journal of Anaesthesia 115 (1): (2015) doi: /bja/aev118 Advance Access Publication Date 19 May 2015 Cardiovascular A Randomised feasibility study to assess a novel strategy to rationalise fluid in patients after cardiac surgery R L. Parke 1,2,3, *, S. P. McGuinness 1,2,3, E. Gilder 1, L. W. McCarthy 1, and K.-A. L. Cowdrey 1 1 Cardiothoracic and Vascular Intensive Care Unit, Auckland City Hospital, Auckland, New Zealand, 2 Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia, and 3 Medical Research Institute of New Zealand, Wellington, New Zealand *Corresponding author. rparke@adhb.govt.nz Abstract Background: After cardiac surgery, patients receive large amounts of fluid in the Intensive Care Unit (ICU). We plan to conduct a multi-centre randomised controlled trial, of a conservative fluid regime, in patients after cardiac surgery, and have reported results of a feasibility study that evaluated efficacy and safety of the proposed regime. Methods: After ethical approval, a single-centre, prospectively randomised interventional study was undertaken. Participants were randomised to either usual care, or to a protocolised algorithm, utilising stroke volume variation, to guide fluid administration to patients who were deemed to have inadequate cardiac output and were likely to be volume responsive. The study protocol lasted from ICU admission to de-sedation or 24 h, whichever occurred first. Results: We randomised 144 subjects over 9 months. Less bolus fluid and less total overall fluid volume was administered in the intervention group (median (IQR) 1620 ml ( ) and 2525 ml ( ; P<0.001), compared with the usual care group (2050 ml ( ) and 2980 ml ( ; P=0.001), from ICU admission to extubation. There was no significant difference in incidence of acute kidney injury or the average amount of fluid administered to the usual care group at the beginning compared with the end of the study. Conclusion: It is both possible and safe to achieve a significant reduction in the amount of fluid administered to patients, allocated to a conservative fluid protocol. These results suggest that a planned multi-centre study is both justified and feasible. Clinical trial registration: Australia New Zealand Clinical Trials Registry (ACTRN ). Key words: acute kidney injury; cardiac output; cardiac surgery; haemodynamics; intensive care units Demand for cardiac surgery has increased with improved results and decreased mortality in recent yrs. 1 The incidence of postoperative morbidity and frequency of complications is still significant, with patients requiring a prolonged stay in either the intensive care unit (ICU) or the postoperative ward. 23 After cardiac surgery, fluid resuscitation with large amounts of fluid in the ICU is common, 4 and the optimal use of fluids is unclear. Numerous studies in general surgical populations, have demonstrated a positive outcome in some patient groups, if a more conservative fluid administration regime is used. 56 The mechanisms for the positive effects seen, include a reduction in tissue oedema and better wound healing, 7 while an accumulated Accepted: February 13, 2015 The Author Published by Oxford University Press on behalf of the British Journal of Anaesthesia. All rights reserved. For Permissions, please journals.permissions@oup.com 45

2 46 Parke et al. Editor s key points The impact of conservative postoperative fluid management strategies on outcomes after cardiac surgery is unknown. A feasibility study to evaluate safety and efficacy of a goaldirected fluid management algorithm was conducted. The intervention group received less fluid in the first 24 h after surgery than the usual care group with no evidence of increased morbidity. A large multi-centre study is required to demonstrate whether goal-directed therapy can influence patient outcomes in cardiac surgery. criteria). These exclusion criteria were necessary, to ensure validity of measured stroke volume variation (SVV). Randomisation On return to the ICU after surgery, patients were screened for the absence of secondary exclusion criteria and randomised 1:1 in blocks of 8, with the sequence generated by an independent statistician. Subject allocation was stratified by the presence or absence, on admission to ICU, of a pulmonary artery catheter (PAC), previously inserted in theatre. Allocation concealment was maintained until the time of randomisation by using opaque, sealed, sequentially numbered envelopes, prepared by a person not involved with the study. positive fluid balance has been associated with poor lung, 8 renal 9 and gastrointestinal function 510 and an increased risk of morbidity and mortality Fluid volume strategies have been investigated in other ICU populations such as those with acute respiratory distress syndrome or sepsis, however widespread practice variation exists To date there have been no reported studies of perioperative fluid management strategies, in patients undergoing cardiac surgery. A prior multi-centre study by our group, determined that on average patients received 2250 mls for volume expansion in the first 24 h postoperatively (interquartile range (IQR) ml). 4 We planned to undertake a randomised controlled trial (RCT) of a fluid regime involving a novel use of advanced haemodynamic monitoring, compared with usual care, in an attempt to reduce the amount of fluid patients receive postoperatively, and to see whether this influences length of stay. Before undertaking the RCT, we completed a feasibility study to determine whether the fluid management strategy was practicable, feasible, and safe and would answer the research question. This single centre, prospectively randomised interventional study aimed to test the hypothesis, that a stroke volume variation-based algorithm would reduce the amount of i.v. fluid administered to patients, after cardiac surgery. We also aimed to determine whether there was any difference in incidence of acute kidney injury between groups, and to assess the extent of a Hawthorne effect from this unblinded study. Methods A single centre, prospectively randomised, open label interventional study was undertaken in a large metropolitan hospital. The study was approved by the Regional Ethics Committee (12/ NTA/2). Written informed consent was obtained by research staff from all study participants, before enrolment. The study was registered prospectively with the Australia and New Zealand Clinical Trials Registry (ACTRN ). Study participants All patients aged 16 yrs were eligible for inclusion in this study, if undergoing cardiac surgery, involving full median sternotomy and use of cardiopulmonary bypass. Patients were excluded if they were undergoing an emergency procedure, had a preoperative intra-aortic balloon pump (IABP), pre-existing atrial fibrillation (AF), or end-stage renal failure. In addition, if patients were in AF, had an IABP or an open chest on return to the ICU postoperatively, they were not randomised (secondary exclusion Study treatments On return to the ICU, participants were again screened by the research nurses and if deemed still eligible for randomisation, allocation was revealed and allocated therapy commenced. Participants were randomised to either usual care or to a protocolised strategy for fluid administration, from admission to ICU until 24 h, or de-sedation if earlier. Intervention group A protocolised strategy for administering bolus fluid postoperatively was developed for use by nursing and medical staff (Fig. 1). The strategy required patients to have both an inadequate cardiac output (as assessed either by measurement of cardiac index, where available, or by clinical signs where no PAC was present) and likely to be fluid responsive, before administration of a fluid bolus, as determined by an elevated SVV. The FloTrac sensor and EV1000 clinical platform (Edwards Lifesciences, Irvine, CA) were used to assess SVV, however, bedside clinicians were blinded to other data available for the EV1000, including cardiac output. Other treatment options are suggested in the protocol if fluid responsiveness is not apparent, however the decision as to which therapy was used was at the discretion of the treating clinician. Usual care group Standing orders in this ICU allow the bedside nurse to routinely deliver up to 2000 mls of crystalloid fluids at their discretion, for perceived haemodynamic inadequacy, based on their clinical judgement, mean arterial pressure and central venous pressure measurements. Data collection, measurements and outcomes The main outcome for this study, was the difference in fluid administered to subjects in each group, from the time of admission to ICU, to 24 h, or de-sedation, whichever occurred first. Data was collected by both the bedside nurse and research nurses, in the ICU, to capture bolus fluid administered and total fluid administered during the study period. Urine and creatinine data were also collected, to calculate incidence of acute kidney injury, as determined by the Kidney Disease: improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group guidelines. 15 Patient characteristics, co-morbid conditions and operative details were recorded, and length of stay and use of inotrope or vasopressor medications in the ICU. Continuous data from bedside haemodynamic monitors were downloaded into Excel (Microsoft, Redman WA USA) spreadsheets for analysis. All patients were contacted 90 days after randomisation, to determine

3 A randomised feasibility study to assess a novel strategy 47 I am considering giving a fluid bolus to this patient Has the patient got a known or suspected inadequate cardiac output? If cardiac output monitoring used then C.I. <2.5 litre min 1 m 2 or as specified by treating clinician Presence of clinical signs of inadequate cardiac output Yes No Is the SVV >13 Is the patient hypotensive? MAP<65mmHg or as specified by treating clinician. Yes No Yes No Give bolus of fluid ( mls) and reassess. Discuss with medical staff after 2000mls total. Consider starting or increasing inotropes Discuss with medical staff. Consider starting or increasing vasoconstrictor Reassess requirement for fluid Do not give fluid solely for: low CVP Respiratory swing Fig 1 Fluid administration protocol. mortality and incidence of requirement for renal replacement therapy. Sample size Data from an audit of fluid administration in our unit, showed that the usual care group, would receive a mean of 3920 ml (SD 1790 ml) in the initial 24 h after surgery, 3010 mls of which would be given within the first 6 h. Given a minimal, clinically important reduction in volume of fluid administered of 1000 mls, using Fleiss formula, we calculated that 138 subjects would be needed to have a 90% power to detect a difference of 1000 mls, between the usual care and intervention groups at an alpha of We planned to randomise 144 patients to allow for possible withdrawals. Statistical analysis Data were analysed according to the intention-to-treat principle. Continuous data were tested for normality using histograms. Between-group comparisons for continuous data were performed by means of Student s t test or the Mann-Whitney U test and for categorical data with the use of the χ 2 test. We considered a P value <0.05 to indicate statistical significance. Data were entered into Excel spread sheets, and then extracted into STATA (StataCorp Stata Statistical Software: Release 12. (Stata- Corp LP: College Station, TX USA), for analysis. Results Subject characteristics Over the period January October 2013, 151 patients were enrolled into the study, of which 144 were randomised (Fig. 2). Seven previously enrolled patients were excluded, either before surgery (two were operated on elsewhere, because of theatre availability and one withdrew consent), or on return to the ICU when rescreened before randomisation (three returned with an IABP and one with an open chest). Of those randomised, 74 were allocated to usual care and 70 to intervention. Baseline characteristics of study participants are described in Table 1. Fluid therapy Asignificantreductionintheamountofbolusfluids administered to participants in the intervention group was seen at both extubation (median (IQR) 1620 ml ( ), compared with 2520 ml ( ), P<0.001) and at 24 h (median (IQR) 2760 ml ( ), compared with 3750 ml ( ), P=0.02), when compared with the usual care group. There were also significant reductions in the total amount of fluids administered and the overall fluid balance in the intervention group, when compared with the usual care group (Table 2). There was no significant difference seen between the groups with type of fluids used (Fig. 3).

4 48 Parke et al. Assessed for eligibility n=449 Excluded n=298 Enrolled n=151 Declined participation Exclusion criteria present Enrolled in competing study Availability of research staff Other reason n=69 n=101 n=44 n=20 n=64 Excluded n=7 IABP present n=3 Returned with open chest n=1 Randomised n=144 Operated on elsewhere n=2 Withdrew prior to surgery n=1 Randomised to intervention n=70 Randomised to usual care n=74 Lost to follow up n=0 Lost to follow up n=0 Analysed n=70 Analysed n=74 Fig 2 Participant flow through study. Renal function There was no significant difference in the occurrence of renal dysfunction between groups as measured by KDIGO and based on either change in creatinine or urine output (Table 2). Other clinical outcomes There was not a significant decreased ICU length of stay, or reduced length of ventilation hours, but there was a significant increase in ventilation free hours in the intervention group (Table 2). Less diuretic was administered to the intervention group. No significant differences were seen in the use of vasoactive drugs, or the incidence of new onset atrial fibrillation. One subject in the cohort died. This patient had been allocated to standard care and died between day 28 and day 90 postoperatively. There was a low rate of protocol violations with 16 recorded out of a total of 1495 boluses given. Hawthorne effect We tested for any evidence of a Hawthorne effect, by comparing the volume of fluid received in sequential quintiles in the usual care group, over the entire study period. No significant difference Table 1 Baseline subject characteristics of study participants Characteristic Usual Care (n=74) Intervention (n=70) Gender, n (%) Male 56 (48) 61 (52) Female 18 (67) 9 (33) Ethnicity, n (%) European 51 (47) 58 (53) NZ Maori 11 (69) 5 (31) Pacific Island 7 (78) 2 (22) Asian 2 (100) 0 (0) Other 3 (38) 5 (63) Age, yrs mean (range) 61.2 (18 86) 65.4 (38 86) BMI kg m 2, mean (SD) 29.1 (5.5) 28.5 (4.7) Euroscore II, mean (SD) 2 (2.1) 2.7 (3.7) Surgery, n (%) Isolated CABG 37 (45) 46 (55) Valve surgery 27 (62) 17 (38) CABG+Valve 9 (56) 7 (44) Other cardiac surgery 2 (67) 1 (33) Bypass time, mins mean (SD) 112 (54) 106 (44) Cross clamp time, mins mean (SD) 76 (41) 73 (33)

5 A randomised feasibility study to assess a novel strategy 49 Table 2 Outcomes of interest. IQR, interquartile range. a Data are presented as median (IQR). b Data are presented as median (IQR). This includes data from the time of ICU admission to discharge from ICU or 24 h after admission, which ever occurred first. c The KDIGO classification system is as follows 15 : Stage 1: Serum creatinine times baseline or 0.3 mg dl 1 ( 26.5 μm) increase OR urine output <0.5 ml kg 1 h 1 for 6 12 h. Stage 2: Serum creatinine times baseline or urine output <0.5 ml kg 1 h 1 for 12 h. Stage 3: Serum creatinine 3.0 times baseline or increase in serum creatinine to 4.0 mg litre 1 ( 350 μm) or initiation of renal replacement therapy or, in patients <18 yrs, decrease in egfr to <35 ml min m 2 or anuria for 12 h. d Data are presented as median (IQR) unless otherwise specified Usual Care (n=74) Intervention (n=70) P Fluids from admission to extubation a All fluids administered, ml 2980 ( ) 2050 ( ) Bolus fluid administered, ml 2520 ( ) 1620 ( ) <0.001 All fluid losses, ml 1820 ( ) 1650 ( ) 0.19 Blood loss, ml 312 ( ) 225 ( ) 0.1 Urine output, ml 1530 ( ) 1310 ( ) 0.25 Overall fluid balance, ml 1050 ( ) 393 ( ) Fluids from admission to 24 h b All fluids administered, ml 5080 ( ) 4350 ( ) 0.02 Bolus fluid administered, ml 3750 ( ) 2760 ( ) 0.02 All fluid losses, ml 3040 ( ) 2980 ( ) 0.17 Blood loss, ml 473 ( ) 400 ( ) 0.43 Urine output, ml 2620 ( ) 2360 ( ) 0.16 Overall fluid balance, ml 1700 ( ) 1410 ( ) 0.08 Renal function c KDIGO stage 1, n (%) 23 (31) 31 (44) 0.1 KDIGO stage 2, n 17 (23) 13 (19) 0.52 KDIGO stage 3, n 1 (1) 2 (3) 0.53 Any KDIGO, n 41 (55) 46 (66) 0.21 Other clinical outcomes d Ventilation free hours 11.6 (1 15) 13.1 (8 15) Length of ventilation, h 12.4 (9.1 23) 10.8 (9 15) 0.14 ICU Length of stay, h 25.9 (21 48) 22.7 (20 46) 0.23 Hospital length of stay, days 6.5 (6 8) 6.2 (5 8) 0.64 Use of vasoactive drugs, n (%) Day of surgery 57 (77) 52 (74) 0.7 Day 1 postoperative 43 (58) 47 (67) 0.31 Day 2 postoperative 16 (22) 18 (26) 0.36 New onset atrial fibrillation, n (%) Day of surgery 5 (6.8) 3 (4.3) 0.52 Day 1 postoperative 4 (5.4) 3 (4.3) 0.77 Day 2 postoperative 2 (2.3) 4 (5.7) 0.63 Use of diuretics, n (%) Day of surgery 3 (9.5) 5 (7.1) 0.42 Day 1 postoperative 22 (29.7) 14 (20) 0.18 Day 2 postoperative 17 (23) 13 (18.6) 0.02 Proportion of total bolus fluid administered up to 24 hours (%) Crystalloid Albumin Red cells Type Usual care Intervention Blood Unspecified products Fig 3 Proportion of total bolus fluid administered up to 24 h over all fluid. was found in volume of fluids administered to the usual care group, when the first quintile of subjects was compared with the last (Fig. 4). Decision making The most common primary indication cited for bolus fluid administration, was hypotension, in both the usual care and the intervention group. Other reasons differed between the two study groups, with low urine output and low cardiac output/ index being cited next in the usual care group, while low central venous pressure was more common than low urine output, and low cardiac output/index in the intervention group (Table 3). Discussion This feasibility study assessed a protocolised strategy to guide bolus fluid administration after cardiac surgery. We found that

6 50 Parke et al. Total fluid bolus from admission to extubation (mls) Quintile 4 5 Fig 4 Analysis of volume of fluid administered to usual care group over course of study. All participants in the standard care group were sequentially divided into five groups from beginning of study to end of study (i.e. approximately 15 participants per group) to compare the amount of fluid given in participants enrolled at different timepoints over the whole study enrolment period. This figure shows the median and interquartile range for each of the 5 groups. Median (IQR) 1st quintile: 4500 ml ( ) vs 5th quintile: 2400 ml ( ) P=0.32. Table 3 Primary Indication for fluid administration Indication Usual Care (n=74), n (%) Intervention (n=70), n (%) Hypotension 646 (80) 481 (79) Low Central Venous Pressure 20 (2) 31 (5) Tachycardia 5 (1) 8 (1) Low Cardiac Output/Index 42 (5) 25 (4) Respiratory swing 4 (0) 1 (0) Low urine output 49 (6) 23 (4) Low haemoglobin 14 (2) 12 (2) Coagulopathy 7 (1) 12 (2) Other 18 (2) 17 (3) the strategy could achieve a significant reduction in fluid administered, without an increase in cardiac surgery associated acute kidney injury and no significant Hawthorne effect in the control arm, despite the unblinded nature of the study. To our knowledge, this is the first study to utilise a protocolised strategy incorporating SVV, to rationalise bolus fluid administration after cardiac surgery, by limiting fluid administration to patients who have a perceived inadequate cardiac output and who are likely to be fluid responsive (i.e. likely to increase their cardiac output after administration of the fluid bolus). A recent meta-analysis of goal-directed therapy in high-risk surgical patients, reported 22 studies reporting cardiovascular outcomes but specifically excluded studies that enrolled cardiac surgical patients, to minimise heterogeneity. 16 There are few published studies using goal-directed haemodynamic manipulation in cardiac surgical patients, and all aimed to significantly increase cardiac output, through the administration of fluids and/or inotropes Previous studies have utilised flow-based goals, such as cardiac index or stroke volume index to guide fluid administration, in patients undergoing cardiac surgery. One study found a reduction in hospital length of stay, in patients allocated to an algorithm guided by oesophageal Doppler flow measurements. 20 Another study found a reduced hospital length of stay when patients, after cardiac surgery, were treated according to a protocol designed to maintain SvO 2 >70% and serum lactate concentration 2.0 mm. 21 However patients in the intervention group received more crystalloid and colloid fluid replacement than patients in the usual care group (2270 ml compared with 1970 ml and 922 ml compared with 802 ml, respectively). 21 A third study assessed the utility of goal-directed therapy, using FloTrac cardiac index monitoring in 27 patients with moderate to high risk (Euro- SCORE 3) and found no reduction in ventilation hours, ICU and hospital length of stay. 18 However the amount of extra fluid administered to the EGDT group, was significantly higher than the usual care group (330 ml compared with 80 ml). 18 These studies suggest a reduction in the incidence of postoperative complications, when a goal-directed approach is used in patients undergoing cardiac surgery In contrast to the above, our study shows that it is possible to utilise advanced haemodynamic monitoring as part of a strategy, to administer less fluid to patients after cardiac surgery, by ensuring that the patients who receive fluid are most likely to benefit from it. Our trial demonstrates importantly, that fluid administration guided by haemodynamic monitoring does not necessarily result in larger volumes of fluid being administered, and concurs with others, who have concluded that this might result in an individualised approach to fluid administration. 22 This study was not designed to demonstrate differences in clinical outcomes. Whether differences become significant in a larger patient group, will be studied as part of our proposed multi-centre Phase IIb trial of this intervention. A recent study in 734 patients, undergoing major abdominal surgery, evaluated the effectiveness of cardiac output monitoring to guide administration of fluidandinotropesaspartofa haemodynamic algorithm. 22 This study showed that overall volumes of colloid and crystalloid fluid, administered during the intervention period, were similar (4190 ml and 4020 ml, respectively). However in the usual care group more fluid was administered during than after surgery, while for the intervention group similar amounts were administered during surgery and during the 6 h after surgery. Use of inotropic and vasopressor agents, was similar between groups. Although the study did not demonstrate any significant reduction in primary outcome, when the results of this trial were incorporated into an updated systematic review and meta-analysis, 23 there was evidence that this intervention was associated with a reduction in the number of patients who developed complications, after surgery and in the duration of hospital length of stay. Importantly this study demonstrated a high rate of protocol adherence to the therapy algorithm, demonstrating feasibility of this approach in routine clinical practice. 22 Study strengths and limitations A pragmatic study design was used, to ensure timely completion and enrolment, aiding in generalisability of study results, as all patients presenting for cardiac surgery were screened for enrolment and invited to participate. Only 15% of patients approached declined to participate and there was no loss to follow-up, which demonstrates acceptability of the study to patients. This resulted in a satisfactory recruitment rate, ensuring timely completion in 9 months. The low rate of exclusion (4.8%) at the secondary screening time on return to ICU, shows that the inclusion and exclusion criteria were able to identify suitable participants and minimise drop out.

7 A randomised feasibility study to assess a novel strategy 51 The protocol was developed in-house, by clinicians skilled in the care of patients after cardiac surgery and was easily instituted at the bedside by nursing staff and involved common agreement on haemodynamic parameters. Alongside utilising objective measures, such as the pulmonary artery catheter where available, to guide determination of cardiac output, it also allowed measures routinely used at the bedside, such as urine output, capillary refill and skin turgor, to be used in the assessment of haemodynamic status, reflecting everyday practice. Limitations of both the EV1000 and SVV are recognized, including restrictions regarding ventilation strategy, arrhythmias and intra-aortic balloon counterpulsation. Obviously in the cardiac surgical population this is an issue, however as a result of the enrolment criteria and the secondary exclusion point, all subjects were enrolled appropriately. It does limit the generalisability of these results, in patients in whom these methods could not be reliably used. Our findings are from a single-centre and only assess fluid administered postoperatively on return to the ICU from theatre. We did not attempt to influence or assess the type or amount of fluid replacement that occurred in the operating room, as our study solely focused on bolus fluid administration in the ICU. In summary this study demonstrated the feasibility of a conservative fluid management strategy based on non-invasive haemodynamic monitoring. Large studies are required to demonstrate possible reduction in ventilation time, ICU length of stay, and acute kidney injury in those treated with the fluid management strategy. For future research in this area, including an appropriately powered randomised controlled trial, consideration must be given to addressing important safety endpoints, such as renal dysfunction, by adequate monitoring of the incidence of renal failure and the use of a data safety monitoring board. Authors contributions R.L.P. contributed to the study design, obtaining funding, patient recruitment, site training, data collection, data analysis, and manuscript preparation. S.P.M.contributed to the study design, patient recruitment, data analysis, and manuscript preparation. E.G., L.W.M. and K.L.C. contributed to the study design, patient recruitment, data collection and manuscript preparation. All of the authors read and approved the final manuscript. Acknowledgements We would like to sincerely thank the staff of the CVICU and the anaesthetic technicians, Auckland City Hospital, who provided care to the patients and assisted with data collection and delivery of the study intervention. We would also like to thank the patients, who so generously agreed to participate in this study. Declaration of interest None declared. Funding This work was supported by: the Health Research Council of New Zealand by way of a Feasibility Study award (HRC13/756) (RLP). Research in the CVICU is supported in part by an unrestricted grant from Fisher and Paykel Healthcare, New Zealand. Edwards Lifesciences provided the consumables for this study without charge and loaned the monitors for the life of the study. These sponsors had no input into the study design and no access to trial data. All analyses, reporting and decisions to publish have been made independent of the sponsors. References 1. Rhodes A, Moreno RP, Metnitz B, Hochrieser H, Bauer P, Metnitz P. Epidemiology and outcome following post-surgical admission to critical care. Int Care Med 2011; 37: Sabzi F, Kaerani H, Jalali A, Samadi M, Ghasemi F. Coronary arteries bypass grafting surgery in elderly patients. J Tehran Heart Cent 2013; 8: Pivatto Junior F, Kalil R, Costa A, et al. Morbimortality in octogenarian patients submitted to myocardial revascularization surgery. Arq Bras Cardiol 2010; 95: Parke R, McGuinness S, Gilder E, McCarthy L, on behalf of the Fluid Administration after Bypass Investigators. Intravenous fluid use following cardiac surgery: a multi-centre prospective observational study. Crit Care Resusc 2014; 16: Brandstrup B, Tønnesen H, Beier-Holgersen R, et al. Effects of Intravenous Fluid Restriction on Postoperative Complications: Comparison of Two Perioperative Fluid Regimens. Ann Surg 2003; 238: Bundgaard-Nielsen M, Secher NH, Kehlet H. Liberal vs. restrictive perioperative fluid therapy a critical assessment of the evidence. Acta Anaesthesiol Scand 2009; 53: Bundgaard-Nielsen M, Holte K, Secher NH, Kehlet H. Monitoring of peri-operative fluid administration by individualized goal-directed therapy. Acta Anaesthesiol Scand 2007; 51: Wiedemann H, Wheeler A, Bernard G, et al. Comparison of Two Fluid-Management Strategies in Acute Lung Injury. N Eng J Med 2006; 354: Bouchard J, Soroko S, Chertow G, et al. Fluid accumulation, survival and recovery of kidney function in critically ill patients with acute kidney injury. Kidney Int 2009; 76: Lobo DN, Bostock KA, Neal KR, Perkins AC, Rowlands BJ, Allison SP. Effect of salt and water balance on recovery of gastrointestinal function after elective colonic resection: a randomised controlled trial. Lancet 2002; 359: Shields C. Towards a new standard of perioperative fluid management. Ther Clini Risk man 2008; 4: Silva J Jr, de Oliveira A, Nogueira F, et al. The effect of excess fluid balance on the mortality rate of surgical patients: a multicenter prospective study. Crit Care 2013; 17: R The ProCESS Investigators. A Randomized Trial of Protocol- Based Care for Early Septic Shock. NEngJMed2014; 370: Finfer S, Liu B, Taylor CB, et al. Resuscitation fluid use in critically ill adults: an international cross-sectional study in 391 intensive care units. Crit Care 2010; 14: R Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO Clinical Practice Guideline for Acute Kidney Injury. Kidney Int 2012; 2: Arulkumaran N, Corredor C, Hamilton MA, et al. Cardiac complications associated with goal-directed therapy in high-risk surgical patients: a meta-analysis. Br J Anaesth 2014; 112: Smetkin AA, Kirov MY, Kuzkov VV, et al. Single transpulmonary thermodilution and continuous monitoring of central venous oxygen saturation during off-pump coronary surgery. Acta Anaesthesiol Scand 2009; 53:

8 52 Parke et al. 18. Kapoor PM, Kakani M, Chowdhury U, Choudhury M, Lakshmy R, Kiran U. Early goal-directed therapy in moderate to high-risk cardiac surgery patients. Ann Card Anaesth 2008; 11: Mythen M, Webb A. Perioperative Plasma Volume Expansion Reduces the Incidence of Gut Mucosal Hypoperfusion During Cardiac Surgery. Arch Surg 1995; 130: McKendry M, McGloin H, Saberi D, Caudwell L, Brady A, Singer M. Randomised controlled trial assessing the impact of a nurse delivered, flow monitored protocol for optimisation of circulatory status after cardiac surgery. Br Med J 2004; 329: Pölönen P, Ruokonen E, Hippeläinen M, Pöyhönen M, Takala J. A prospective randomised study of goal oriented hemodynamic therapy in cardiac surgical patients. Anesth Analg 2000; 90: Pearse RM, Harrison DA, MacDonald N, 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: Grocott MPW, Dushianthan A, Hamilton MA, et al. Perioperative increase in global blood flow to explicit defined goals and outcomes after surgery: a Cochrane Systematic Review. Br J Anaesth 2013; 111: Handling editor: H. C. Hemmings

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