Literature DB >> 24994571

Goal-directed fluid therapy based on stroke volume variations improves fluid management and gastrointestinal perfusion in patients undergoing major orthopedic surgery.

Ke Peng1, Jian Li, Hao Cheng, Fu-hai Ji.   

Abstract

OBJECTIVE: To evaluate the influence of stroke volume variation (SVV)-based goal-directed therapy (GDT) on splanchnic organ functions and postoperative complications in orthopedic patients. SUBJECTS AND METHODS: Eighty patients scheduled for major orthopedic surgery under general anesthesia were randomly allocated to one of two equal groups to receive either intraoperative volume therapy guided by SVV (GDT) or standard fluid management (control). In the SVV group, patients received colloid boluses of 4 ml/kg to maintain an SVV <10% when in the supine position or an SVV <14% if prone. In the control group, fluids were given to maintain a mean arterial pressure >65 mm Hg, a heart rate <100 bpm, a central venous pressure of 8-14 mm Hg, and a urine output >0.5 ml/kg/h. Intraoperative organ perfusion, hemodynamic data, hospitalization, postoperative complications, and mortality were recorded.
RESULTS: The heart rate at the end of surgery was significantly lower (p < 0.05), there were fewer hypotensive episodes (p < 0.05), the arterial and gastric intramucosal pH were higher (p < 0.05 for both), the gastric intramucosal PCO2 was lower (p < 0.05), the intraoperative infused colloids and the total infused volume were lower (p < 0.05 for both), and the postoperative time to flatus was shorter (p < 0.05) in the GDT group than in the control group. No differences in the length of hospital stay, complications, or mortality were found between the groups.
CONCLUSION: SVV-based GDT during major orthopedic surgery reduced the volume of the required intraoperative infused fluids, maintained intraoperative hemodynamic stability, and improved the perioperative gastrointestinal function.
© 2014 S. Karger AG, Basel.

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Year:  2014        PMID: 24994571      PMCID: PMC5586912          DOI: 10.1159/000363573

Source DB:  PubMed          Journal:  Med Princ Pract        ISSN: 1011-7571            Impact factor:   1.927


Introduction

Fluid balance is a major contributing factor to postoperative morbidity and mortality. Persistent hypovolemia is associated with organ hypoperfusion, systemic inflammatory response syndrome, sepsis, and multiple organ failure. Fluid overload, on the other hand, is associated with edema, ileus, postoperative nausea and vomiting, pulmonary complications, and increased cardiac demands [1]. Traditional methods to monitor the preload are based on measurements of pressure or volume, such as the mean arterial pressure (MAP), the heart rate, or the central venous pressure (CVP). However, these are static parameters and do not accurately reflect fluid responsiveness [2]. The individualized ‘goal-directed therapy’ (GDT) concept [3,4,5] is a more rational strategy for perioperative fluid therapy, which achieves the maximal cardiac stroke volume via targeted administration of i.v. fluids, blood, and/or vasoactive substances. The FloTrac/Vigileo system provides automatic and continuous monitoring of the cardiac output, stroke volume, and stroke volume variation (SVV) based on arterial pulse contour analysis. According to our previous study [6] and data from similar studies [7,8,9], SVV is a sensitive predictor of fluid responsiveness. Fluid management is a crucial issue for patients undergoing major orthopedic surgery, in which large blood loss, transfusions, fluid shifts, and high incidences of postoperative complications are important concerns. Herein, we report the results of a prospective, randomized, controlled study that compared the intraoperative laboratory parameters of organ functions and postoperative complications between standard care management and SVV-based goal-directed fluid therapy. The primary study endpoint was gastrointestinal function, including the gastric intramucosal partial pressure of carbon dioxide (PgCO2), the gastric intramucosal pH (pHi), and the time to passing the first flatus. We hypothesized that the use of goal-directed volume therapy would result in better gastrointestinal perfusion and fewer postoperative complications in patients undergoing major orthopedic surgery.

Subjects and Methods

Subjects

The Institutional Research Ethics Committee approved this trial and written informed consent was obtained from all patients. Patients scheduled for elective major orthopedic surgery, including total hip arthroplasty, spinal fusion surgery, femoral fracture surgery, and sacral tumor surgery under general anesthesia, with an anticipated blood loss >800 ml, were eligible for inclusion into this study. Patients were excluded if they were under 18 years old or had a BMI >40 or <15, coagulopathy, significant arrhythmia or cardiopulmonary dysfunction, or significant renal or liver diseases. Eighty patients were randomized preoperatively into either a standard care management group (control, n = 40) or a goal-directed fluid therapy group (GDT, n = 40) using a random number generator in sealed envelopes. The anesthetist (K.P.) responsible for intraoperative management was aware of the group assignment, whereas all other members of the research team, other health care providers, and the patients were not.

Anesthesia and Monitoring

All patients fasted for 6 h before surgery and were premedicated with i.v. midazolam (0.01 mg/kg). A central venous catheter was inserted via the right internal jugular vein and an arterial line was inserted into the radial artery of the nondominant forearm. Standard monitoring included an ECG, MAP, CVP, pulse oximetry, temperature, end-tidal carbon dioxide, and the bispectral index. In both groups, standard general anesthesia was induced with i.v. fentanyl (3–4 μg/kg), propofol (1.5–2 mg/kg), and vecuronium (0.15 mg/kg). After tracheal intubation, the lungs were ventilated at 8 ml/kg of tidal volume in a volume-controlled mode with 0–3 mm Hg positive end-expiratory pressure. The respiratory rate was set to maintain the end-tidal carbon dioxide at 35–40 mm Hg. The ventilator settings were unchanged during this study. Anesthesia was maintained with sevoflurane 2–3s% in oxygen and fentanyl adjusted to maintain a bispectral index of 45–55. The body temperature was maintained at >36°C by a fluid warmer. A tonometry tube was inserted into the lumen of the stomach via the nasogastric route and was connected to a CO2 monitor (Tonocap). After induction of anesthesia, patients scheduled for spinal or sacral surgery were placed in the prone position on a prone pad with 4 small pads (2 shoulder and 2 pelvic supports) to allow the chest and abdomen to hang free. All of the patients received an i.v. prophylactic antibiotic and preemptive analgesia of 50 mg flurbiprofen axetil before skin incision. All operations were performed by the same surgical team.

Study Protocol

The intraoperative fluid management is shown in figure 1. In both groups, intraoperative basal fluid replacement was achieved by continuous infusion of 5 ml/kg/h crystalloid solution (Ringer's acetate). In the GDT group, an additional bolus of 4 ml/kg colloid solution (Voluven 130/0.4; 6s%) was given when the SVV (measured by the FloTrac/Vigileo 3.0) increased >10s% in the supine position or >14s% in the prone position. Fluid boluses were repeated every 5 min if the criteria were met. In the control group, the anesthesiologist (K.P.) was free to give additional fluids, based on the subject's hemodynamic condition and responses, to maintain an MAP >65 mm Hg, a heart rate <100 bpm, a CVP of 8–14 mm Hg, and a urine output >0.5 ml/kg/h.
Fig. 1

Intraoperative fluid management. HR = Heart rate; Hb = hemoglobin; SP = supine position; PP = prone position.

In both groups, anemia (hemoglobin level <80 g/l or hematocrit <28s%) and an acute blood loss >20s% of the calculated patient circulatory volume were corrected with transfusions of packed red blood cells and fresh frozen plasma in ratios approaching 2:1. Ephedrine boluses of 10 mg or phenylephrine boluses of 50 µg were given when fluid boluses failed to maintain a systolic arterial pressure >90 mm Hg or an MAP >65 mm Hg. These episodes were recorded as hypotensive events. Arterial blood samples were taken at the time of skin incision and closure for blood counts, acid-base balance analysis, and other biochemical laboratory tests. At the same time, the PgCO2 was recorded. The mucosal-arterial PCO2 gap was calculated as: Pg-aCO2 gap = PgCO2PaCO2, where PaCO2 is the arterial carbon dioxide tension. In addition, the pHi was calculated [10] as: pHi = arterial pH s+ log10(PaCO2/PgCO2) Patients were transferred to either the intensive care unit or the postanesthesia care unit and were extubated when they fulfilled the standard clinical criteria (oxygenation, hemodynamics, and protective reflexes). Patient-controlled i.v. analgesia with fentanyl (background infusion of 0.4 µg/kg/h, bolus dose of 0.4 µg/kg, and lockout interval of 10 min) was used during the next 2 postoperative days. Regional anesthesia or analgesia (e.g. epidural catheters or nerve blocks) was not used in this study. The same surgical team was in charge of the postoperative care, including fluid management (baseline crystalloid infusion of 40–50 ml/kg/day, colloids, and transfusions if required), daily antibiotics for 2–3 days, rescue analgesia (100 mg i.v. flurbiprofen axetil or 10 mg i.m. morphine), and antiemetics (10 mg i.v. metoclopramide or 3 mg i.v. granisetron). The discharge criteria were predefined by the Department of Orthopedics at our institution. Postoperative complications were defined as follows: (a) cardiac complications: hypotension (MAP <65 mm Hg or SAP <90 mm Hg), arrhythmias (severe arrhythmias resulting in hemodynamic instability), or heart failure; (b) respiratory complications: ventilator support (need for mechanical ventilation in the intensive care unit), acute lung injury, or acute respiratory distress syndrome (PaO2/FiO2 <300 mm Hg); (c) abdominal complications: gastrointestinal hemorrhage (hematemesis and melena), hepatic dysfunction (transaminase >double the upper limit of normal), or hepatic failure (progressive jaundice rise and hepatic encephalopathy); (d) renal complications: renal dysfunction (creatinine >180 μmol/l) or renal failure (creatinine >450 μmol/l); (e) cerebral complications: postoperative cognitive dysfunction or coma; (f) infectious complications: wound infection or wound dehiscence, and (g) others: deep vein thrombosis, nausea, or vomiting. Postoperative complications, fluid management, drainage, length of hospital stay, and mortality were recorded.

Statistical Analysis

The statistical power analysis was based on a review of our hospital database, which showed an average time to passing the first flatus of 15.32 ± 5.16 h. Thirty-six patients per group were required for detection of a 20s% difference in the postoperative first flatus time between the two groups with an α level of significance of 0.05 and a power of 80s% (PASS 11.0.7). To compensate for dropped cases, 40 patients were studied in each group. The statistical analysis was performed using SPSS 19.0 statistical software (IBM SPSS). Data were checked for normality using the Kolmogorov-Smirnov test. Continuous normally distributed data are presented as means ± SD and were analyzed using paired or unpaired t tests. Nonnormally distributed data are presented as medians (IQR) and were tested using the Mann-Whitney U test and the Wilcoxon rank-sum test for unpaired and paired results, respectively. Categorical data are presented as numbers (s%) and were compared using Fisher's exact test. p < 0.05 was considered statistically significant for all tests.

Results

All 80 patients completed this study. No patient was excluded or dropped out of the study after randomization (fig. 2). There were no significant differences between the groups with regard to demographics and surgical characteristics (table 1).
Fig. 2

Flowchart of the patients in this study. ICU = Intensive care unit.

Table 1

Demographic patient data and surgical characteristics

GDTControlp value
Gender (male/female), n17/2318/220.822
Age, years55 ± 1353 ± 100.505
Weight, kg59 ± 1062 ± 110.216
Height, cm162 ± 8164 ± 90.329
BMI22.66 ± 3.2223.25 ± 3.240.421
Position (supine/prone), n25/1522/180.496
ASA (I/II/III), n17/22/117/21/20.837
Surgery
 Hip21 (52.5)20 (50.0)0.823
 Spine16 (40.0)18 (45.0)0.651
 Femur2 (5.0)1 (2.5)1.000
 Sacrum1 (2.5)1 (2.5)1.000
Comorbidity
 Hypertension11 (27.5)15 (37.5)0.340
 Diabetes mellitus2 (5.0)7 (17.5)0.157
 Anemia5 (12.5)2 (5.0)0.432
 COPD2 (5.0)1 (2.5)1.000
 Multiple trauma3 (7.5)2 (5.0)1.000
 Tuberculosis2 (5.0)0 (0)0.494
 Coronary artery disease0 (0)1 (2.5)1.000
 Heart block2 (5.0)1 (2.5)1.000
 Cerebral infarction1 (2.5)2 (5.0)1.000
Duration of surgery, min175 ± 100162 ± 800.520
Intraoperative BIS52 ± 253 ± 20.298

Values are presented as means ± SD or numbers (s%) unless otherwise stated. ASA = American Society of Anesthesiologists physical status classification; COPD = chronic obstructive pulmonary disease; BIS = bispectral index.

In both groups, at the end of surgery, the MAP decreased and the CVP increased compared to the baseline values (table 2). Similarly, the mean hemoglobin and hematocrit decreased significantly in both groups (p < 0.05 for all). The mean heart rate in the GDT group (68 ± 13 bpm) was significantly lower than that in the control group (75 ± 13 bpm, p = 0.028), and there were fewer hypotensive episodes (n = 0, IQR 0–1, compared to n = 1, IQR 0–2, p = 0.021).
Table 2

Intraoperative hemodynamic data, laboratory parameters, and fluid management

GDT
Control
baselineend of surgerybaselineend of surgery
Hemodynamic data
 Heart rate, bpm68 ± 1168 ± 13a73 ± 1375 ± 13
 MAP, mm Hg88 ± 979 ± 10b91 ± 1081 ± 12b
 CVP, mm Hg8 ± 310 ± 3b8 ± 310 ± 3b
 SVV, s%9 ± 27 ± 1bNANA
 Cardiac output, l/min4.41 ± 1.074.79 ± 1.24NANA
 Hypotensive events0 (0 – 1)a1 (0 – 2)
Laboratory parameters
 PgCO2, mm Hg29.29 ± 5.5742.90 ± 10.01ab30.81 ± 5.6348.96 ± 11.34b
 PaCO2, mm Hg39.10 ± 6.8342.11 ± 9.07b40.63 ± 6.1144.26 ± 6.75b
 Pg–aCO2, mm Hg−9.80 ± 9.440.78 ± 14.48b−9.82 ± 6.764.52 ± 11.48b
 pHa7.42 ± 0.047.36 ± 0.06ab7.42 ± 0.057.34 ± 0.05b
 pHi7.55 ± 0.107.37 ± 0.11ab7.54 ± 0.087.30 ± 0.11b
 Lactate, mmol/l1.54 ± 0.322.12 ± 0.89b1.61 ± 0.572.35 ± 1.02b
 Hemoglobin, g/l12.03 ± 1.8110.52 ± 1.54b11.94 ± 1.6910.28 ± 1.61b
 Hematocrit0.37 ± 0.050.33 ± 0.04b0.37 ± 0.040.32 ± 0.04b
Fluid management
 Blood loss, ml800 (600 – 1,000)800 (525 – 1,200)
 Crystalloids infused, ml1,000 (712 – 1,000)1,000 (500 – 1,000)
 Colloids infused, ml500 (312 – 1,000)a1,000 (500 – 1,000)
 PRBC infused, ml600 (400 – 600)600 (400 – 800)
 FFP infused, ml0 (0 – 200)0 (0 – 200)
 Total volume infused, ml1,850 (1,525 – 2,537)a2,225 (1,850 – 2,900)
 Urinary output, ml300 (200 – 400)300 (200 – 475)
 Urinary output, ml/kg/h1.98 (1.29 – 2.63)2.20 (1.53 – 3.25)

Values are presented as means ± SD or medians (IQR). NA = Not available; PRBC = packed red blood cells; FFP = fresh frozen plasma; pHa = arterial pH; pHi = intramucosal pH; PgCO2 = gastric intramucosal partial pressure of carbon dioxide; PaCO2 = arterial partial pressure of carbon dioxide; Pg–aCO2 = mucosal-arterial PCO2 gap.

p < 0.05 between the two groups.

p < 0.05 in comparison to baseline values.

Also in the GDT group, at the end of surgery the mean SVV (7 ± 1) was significantly lower than the mean preoperative value (9 ± 2, p = 0.000), with a trend toward higher cardiac outputs (4.79 ± 1.24 l/min compared to 4.41 ± 1.07 l/min, p = 0.057). The SVV and cardiac output were not evaluated in the control group. The arterial and gastric pHi decreased at the end of surgery, while the arterial and gastric intramucosal CO2 tensions, Pg-aCO2, and the lactic acid concentration increased. At the end of surgery, compared to the control group, the mean gastric intramucosal CO2 of the GDT group was significantly lower (48.96 ± 11.34 mm Hg compared to 42.90 ± 10.01 mm Hg, p = 0.013), while the arterial and gastric pHi were higher (7.34 ± 0.05 compared to 7.36 ± 0.06, p = 0.048, and 7.30 ± 0.11 compared to 7.37 ± 0.11, p = 0.007, respectively). The volume of infused intraoperative colloids was significantly lower in the GDT group than in the control group (500 ml, IQR 312–1,000, compared to 1,000 ml, IQR 500–1,000, p = 0.003). Similarly, the total infused volume in the GDT group was also significantly lower (1,850 ml, IQR 1,525–2,537, compared to 2,225 ml, IQR 1,850–2,900, p = 0.036). The volume of blood loss, infused crystalloids, infused blood products, and urinary output did not differ between the groups. The time to the first passage of flatus was significantly shorter in the GDT group (10.82 ± 5.83 h compared to 14.97 ± 11.17 h, p = 0.042; table 3). There was no significant difference between the two groups with regard to the postoperative amount of infused fluids, urine output and drainage volume at 0–24 or 24–48 h, or the volume of blood transfusion. There were also no differences in postoperative nausea and vomiting, patient-controlled analgesia requests, the number of patients who developed complications, the length of postoperative hospital stay, or mortality. One patient who underwent resection of a sacral tumor in the GDT group died from septic shock 17 days after surgery.
Table 3

Postoperative complications and fluid management

GDTControlp value
Cardiovascular complications
Hypotension3 (7.5)2 (5.0)0.432
Arrhythmias1 (2.5)0 (0)1.000
Heart failure0 (0)0 (0)1.000

Respiratory complications
Ventilator support2 (5.0)2 (5.0)1.000
ALI/ARDS1 (2.5)0 (0)1.000

Abdominal complications
Flatus time, h10 ± 514 ± 110.042a
Gastrointestinal hemorrhage0 (0)0 (0)1.000
Hepatic dysfunction5 (12.5)6 (15.0)0.745
Hepatic failure1 (2.5)0 (0)1.000

Renal complications
Urine output 0 – 24 h, ml1,625 (1,175 – 2,412)2,000 (1,150 – 2,700)0.263
Urine output 24 – 48 h, ml2,500 (1,800 – 3,100)2,200 (1,700 – 3,525)0.672
Renal dysfunction1 (2.5)3 (7.5)0.615
Renal failure1 (2.5)0 (0)1.000

Central nervous complications
POCD1 (2.5)1 (2.5)1.000
Coma1 (2.5)0 (0)1.000

Infection-related complications
Pneumonia4 (10.0)3 (7.5)1.000
Wound infection0 (0)1 (2.5)1.000
Wound dehiscence0 (0)0 (0)1.000
Deep vein thrombosis0 (0)1 (2.5)1.000
Nausea5 (12.5)8 (20.0)0.363
Vomit2 (5.0)5 (12.5)0.432
PCA requests0 (0 – 2)0 (0 – 2)0.719

Fluid management, drainage
Fluid infused 0 – 24 h, ml2,189 ± 6592,109 ± 7090.606
Fluid infused 24 – 48 h, ml1,766 ± 9651,806 ± 9440.852
Blood transfusion, ml0 (0 – 200)0 (0 – 200)0.625
Drainage volume 0 – 24 h, ml132 (100 – 263)107 (38 – 187)0.062
Drainage volume 24 – 48 h, ml60 (25 – 120)47 (16 – 135)0.397
Drainage removal time, days2 ± 02 ± 00.196
Postoperative stay, days12 ± 311 ± 70.802
Mortality1 (2.5)0 (0)1.000

Values are presented as numbers (s%), medians (IQR), or means ± SD. ALI/ARDS = Acute lung injury/acute respiratory distress syndrome; POCD = postoperative cognitive dysfunction; PCA requests = number of analgesic requirements with patient-control analgesia.

p < 0.05 indicates a significant difference.

Discussion

The main findings of the present study are that SVV-based GDT during major orthopedic surgery reduced the required volume of intraoperative infused fluids, maintained intraoperative hemodynamic stability, and improved the perioperative gastrointestinal function. Perioperative fluid management is challenging in high-risk surgical patients. The aim of volume therapy is not only to prevent hypovolemia but also to reduce the risk of fluid overload. Hypovolemia is recognized as a risk factor for adverse effects, ranging from minor organ dysfunction to multiple organ failure and even death. Conversely, fluid overload may impair pulmonary, cardiac, and gastrointestinal functions, contributing to postoperative complications and a prolonged recovery [11]. Therefore, appropriate hemodynamic monitoring is important for intraoperative fluid management. To our knowledge, this study is the first to directly compare conventional intraoperative management with SVV-based goal-directed fluid therapy with regard to organ functions and postoperative complications in patients undergoing major orthopedic surgery. Ideally, a simple, affordable, and reliable method to improve intraoperative fluid management is desirable for routine use. Esophageal Doppler has been used to guide fluid management, with good results [12], but its use is partially limited by the need for experienced staff [13]. Also, the reliability of this method in major vascular procedures requiring cross-clamping of the descendent aorta has been questioned. On the other hand, arterial cannulation is routinely used in high-risk patients, and application of the FloTrac/Vigileo system is generally well tolerated by patients, without increased invasion and risk. As reported in our previous study [6], the SVV obtained by the Vigileo/FloTrac system was a more sensitive predictor of fluid responsiveness than MAP, heart rate, or CVP measurements for intravascular volume assessment. Although the optimal cut-off value for SVV remains uncertain, the 10s% threshold suggested by Manecke [14] for patients in the supine position and the 14s% threshold for patients in the prone position [8] were considered to be the best available estimates for the Vigileo/FloTrac system. In our institution, patients scheduled for spinal or sacral surgery were placed in the prone position on a prone pad with 4 small pads (2 shoulder and 2 pelvic supports) to allow the chest and abdomen to hang free, which is similar to the method described by Biais et al. [8]. Therefore, we used an SVV of 10s% for patients in the supine position and an SVV of 14s% for patients in the prone position as the thresholds for hypovolemia to target volume optimization in our study. In many studies [15,16,17,18,19], patients who had their fluid requirements managed with a goal-directed protocol received greater amounts of colloids than those who were treated with conventional or restrictive fluid management. Similarly, our results support that the use of intraoperative fluid therapy with accurate targeting of colloid fluid boluses may prevent excessive fluid administration. Greater amounts of infused fluids were less effective and jeopardized gastrointestinal function. In normovolemic healthy volunteers, 16s% of colloids and more than 68s% of the saline solution escaped into the extravascular fluid compartment 1 h after the infusion [20]. Edema of the intestines and other tissues may be responsible for poor tissue oxygenation and postoperative gut dysfunction [21]. Smaller volumes of infused fluids may help protect the gastrointestinal tract from dysfunction, which may help explain the shorter flatus time in the GDT group. Regarding the lactate level, it is an indirect but sensitive measure of organ perfusion. Increased lactate correlates with an inadequate intravascular volume, tissue hypoxia, and energy failure due to blood flow redistribution [22]. In the present study, lactate-free fluids were used for volume substitution to exclude a potential bias. Our results showed that patients in both groups suffered a significant increase in lactate levels at the end of surgery relative to baseline values, indicating that these major surgical procedures had a great effect on organ perfusion. Tonometry, on the other hand, is a relatively noninvasive technique that measures the PgCO2; from this value, associated parameters such as the pHi and the PCO2 gap (PgCO2PaCO2) can be calculated. Low pHi, high PgCO2, and high PCO2 gap values may indicate an inadequate oxygen supply to the bowel, leading to regional acidosis. In addition, intramucosal acidosis has been associated with a poor prognosis and multiple organ failure in critically ill patients, even in the absence of systemic acidosis or hypotension [23,24]. Moreover, it has been shown that the correction of intramucosal acidosis may increase the survival rate of critically ill patients [25]. Recently, PgCO2 and pHi were used as indicators of gastrointestinal function [26,27,28]. In this study, we found that the PgCO2 levels were lower and the pHi levels were higher at the end of surgery in the GDT group. Similarly, in the GDT group, the postoperative flatus time was shorter, indicating better gastrointestinal perfusion compared to the control group. Our study has some limitations. First, the SVV and CO values were not available for the control group as the FloTrac/Vigileo device was not attached to these patients. Second, the inclusion of different surgical procedures might have influenced our results, because the pathophysiology and complications vary between joint and spinal surgery. Third, the absence of significant differences between the study groups in the incidence of nausea and vomiting, the length of hospital stay, and the incidence of mortality may have been due to our study not being powered enough to detect differences in these complications.

Conclusion

In patients undergoing major orthopedic surgery, SVV-based goal-directed intraoperative fluid therapy reduced the volume of intraoperative infused fluids, maintained intraoperative hemodynamic stability, and improved the perioperative gastrointestinal function relative to conventional treatment.
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Journal:  BMC Anesthesiol       Date:  2018-08-17       Impact factor: 2.217

6.  Is goal-directed fluid therapy based on dynamic variables alone sufficient to improve clinical outcomes among patients undergoing surgery? A meta-analysis.

Authors:  Qi-Wen Deng; Wen-Cheng Tan; Bing-Cheng Zhao; Shi-Hong Wen; Jian-Tong Shen; Miao Xu
Journal:  Crit Care       Date:  2018-11-14       Impact factor: 9.097

7.  Hemodynamic goal-directed therapy and postoperative kidney injury: an updated meta-analysis with trial sequential analysis.

Authors:  Mariateresa Giglio; Lidia Dalfino; Filomena Puntillo; Nicola Brienza
Journal:  Crit Care       Date:  2019-06-26       Impact factor: 9.097

8.  Perioperative restrictive versus goal-directed fluid therapy for adults undergoing major non-cardiac surgery.

Authors:  Anna Wrzosek; Joanna Jakowicka-Wordliczek; Renata Zajaczkowska; Wojciech T Serednicki; Milosz Jankowski; Malgorzata M Bala; Mateusz J Swierz; Maciej Polak; Jerzy Wordliczek
Journal:  Cochrane Database Syst Rev       Date:  2019-12-12

9.  Restrictive intraoperative fluid optimisation algorithm improves outcomes in patients undergoing pancreaticoduodenectomy: A prospective multicentre randomized controlled trial.

Authors:  Laurence Weinberg; Damian Ianno; Leonid Churilov; Ian Chao; Nick Scurrah; Clive Rachbuch; Jonathan Banting; Vijaragavan Muralidharan; David Story; Rinaldo Bellomo; Chris Christophi; Mehrdad Nikfarjam
Journal:  PLoS One       Date:  2017-09-07       Impact factor: 3.240

Review 10.  Targeting urine output and 30-day mortality in goal-directed therapy: a systematic review with meta-analysis and meta-regression.

Authors:  Esther N van der Zee; Mohamud Egal; Diederik Gommers; A B Johan Groeneveld
Journal:  BMC Anesthesiol       Date:  2017-02-10       Impact factor: 2.217

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