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BMC Anesthesiology logoLink to BMC Anesthesiology
. 2023 Dec 4;23:397. doi: 10.1186/s12871-023-02360-1

Goal-directed fluid therapy using stroke volume variation on length of stay and postoperative gastrointestinal function after major abdominal surgery-a randomized controlled trial

Yanxia Sun 1,2,✉,#, Xuan Liang 1,#, Fang Chai 1, Dongjing Shi 1, Yue Wang 1
PMCID: PMC10694978  PMID: 38049713

Abstract

Background and objective

The effectiveness of goal-directed fluid therapy (GDFT) in promoting postoperative recovery remains unclear, the aim of this study was to evaluate the effect of GDFT on length of hospital stay and postoperative recovery of GI function in patients undergoing major abdominal oncologic surgery.

Methods

In this randomized, double- blinded, controlled trial, adult patients scheduled for elective major abdominal surgery with general anesthesia, were randomly divided into the GDFT protocol (group G) or conventional fluid therapy group (group C). Patients in group C underwent conventional fluid therapy based on mean arterial pressure (MAP) and central venous pressure (CVP) whereas those in group G received GDFT protocol associated with the SVV less than 12% and the cardiac index (CI) was controlled at a minimum of 2.5 L/min/m2. The primary outcomes were the length of hospital stay and postoperative GI function.

Results

One hundred patients completed the study protocol. The length of hospital stay was significantly shorter in group G compared with group C [9.0 ± 5.8 days versus 12.0 ± 4.6 days, P = 0.001]. Postoperative gastrointestinal dysfunction (POGD) occurred in two of 50 patients (4%) in group G and 16 of 50 patients (32%) in the control group (P < 0.001). GDFT significantly also shorten time to first flatus by 11 h (P = 0.009) and time to first tolerate oral diet by 2 days (P < 0.001).

Conclusions

Guided by SVV and CI, the application of GDFT has the potential to expedite postoperative recovery of GI function and reduce hospitalization duration after major abdominal surgery.

Trial registration

This study was registered on www.clinicaltrials.gov on 07/05/2019 with registration number: NCT03940144.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12871-023-02360-1.

Keywords: Goal-directed therapy, Fluid therapy, Length of stay, Gastrointestinal disorder, Functional, Intraoperative care

Introduction

Prolonged hospital stay not only delays discharge and results in increased use of medical resources and higher costs, but it also predicts greater risk for readmission and short-term mortality [1]. Postoperative gastrointestinal (GI) dysfunction (POGD) is a leading cause of prolonged hospital stay after major abdominal surgery [2, 3]. Appropriate perioperative fluid management has been reported to improve GI function in patients who undergo major abdominal surgery [4]. However, static indices fail to predict fluid responsiveness in the perioperative period [5].

Goal-directed fluid therapy (GDFT), which monitors dynamic indices to increase oxygen delivery and ensure optimal organ perfusion [6], has been reported to improve the outcome after non-cardiac surgeries [710]. Previous studies found that GDFT guided by stroke volume variation (SVV) using FloTrac/Vigileo monitor was associated with a reduced length of hospital stay and a lower incidence of POGD in high-risk patients [7, 11, 12]. The FloTrac/Vigileo is a minimal invasive device assessing flow based hemodynamic parameters by pulse contour analysis based on the radial artery pressure signal [13]. This method gained popularity as it is minimally invasive compared to esophageal doppler or pulmonary artery catheter insertion and provides continuous beat-to-beat data [14]. However, the benefit of this strategy of GDFT in low-to-moderate risk patients remains controversial [15]. Therefore, we performed this single-center, randomized, controlled trial to investigate whether SVV-guided GDFT using FloTrac/Vigileo monitor would improve GI function and shorten the length of hospital stay, compared with a standard conventional fluid therapy in low-to-moderate risk patients undergoing major abdominal surgery.

Materials and methods

This study was conducted as a single-center, prospective, randomized, partly blinded, controlled trial in a tertiary, university affiliated hospital between May 15, 2019 and January 30, 2021 in accordance with the principles of the 2013 Declaration of Helsinki. All experimental protocols were approved by a named institutional was approved by the Institutional Review Board of Beijing Tong Ren Hospital (TR-IRB no:20170828) and was registered at ClinicalTrials.gov (www.clinicaltrials.gov, NCT03940144) on 07/05/2019. Written informed consent forms were obtained from all included subjects. The reporting of the trial adheres to the Consolidated Standards of Reporting Trials (CONSORT) guidelines [16].

Study population

Patients undergoing elective major abdominal surgery were recruited. Procedures were considered major if listed for resection of gastrointestinal, gynecologic, and urologic cancer with tumor debulking, staging or reconstruction with a risk for significant surgical blood loss.

Exclusion criteria included co-existing congestive heart failure; chronic lung disease; or renal or hepatic dysfunction (creatinine > 50% or liver enzymes > 50% of normal values), and cardiac arrhythmias. Patients under 18 years, pregnant or lactating woman, patients with esophageal or gastric surgical history, and patients undergoing emergency surgery were also excluded from the study.

Patient characteristics, current diagnosis, and a measure of physiologic and surgical risk (Portsmouth physiologic and operative severity score for the enumeration of mortality and morbidity score: P-POSSUM [17, 18]) were collected.

Enrollment, randomization, and blinding

Patients were randomized allocated on one-to-one basis to either into a standard conventional fluid therapy group (group C) or GDFT group (group G) using a closed envelope system. A research personnel otherwise not involved in the study prepared and sealed the opaque, consecutively numbered envelopes. Patients were blinded to group allocation. Care providers and investigators in the operating room who supported to fluid strategy administration and recorded intraoperative data could not be blinded due to the presence of the cardiac index trending monitor. The postoperative assessors were blinded to the allocation.

Perioperative care

All patients in this study were treated with a standard enhanced recovery after surgery (ERAS) program (Supplementary file: Appendix 1). All patients received standard fasting protocol. Solid food was allowed up to 6 h before surgery, and clear fluids up to 2 h before surgery. A liquid diet during the 24 h preceding surgery was prescribed if patients received mechanical bowel preparation.

Intraoperative management

All patients received basic anesthetic monitoring by five-lead-electrocardiogram, pulse oximetry, blood pressure cuff and bispectral index (BIS), at least one peripheral i.v., a central venous catheter and invasive radial arterial blood pressure monitoring. All patients received bilateral quadratus lumborum muscle block with 0.375% ropivacaine 40 ml 30 min before induction under sedation with midazolam (0.02 mg/kg). In both groups, standard general anesthesia was induced with sufentanyl 0.4–0.5 μg/kg, propofol 1.5-2 mg/kg and cisatracrurium 0.15 mg/kg. After intubation of the trachea, the lungs were ventilated with tidal volume of 8 ml/kg of ideal body weight and positive end expiratory pressure (PEEP) of 4 mmHg, respiratory rate was set to maintain normocapnia using a constant fresh gas flow of 2 L/min. Maintenance of anesthesia was performed with 0.9–1.8% end tidal sevoflurane, remifentanyl and propofol to maintain the BIS value of 40%-60% and cisatracrurium boluses were given as needed.

In group G, the arterial line was connected to the Vigileo monitor (software version 1.14; Edwards Lifesciences, Irvine, CA, USA) via the FloTrac pressure transducer and all intravascular pressure measurements were referenced to mid-axillary line level. The shape of the arterial curve was checked visually for damping throughout the study period. SVV and cardiac index (CI), as indicators for fluid responsiveness during mechanical ventilation and sinus rhythm, were continuously measured. SVV ≤ 12% and CI of at least 2.5L/min/m2 were required. 500 mL of crystalloids was infused during induction, followed by a 4 ml/kg/h continuous infusion. If SVV was higher than 12% for over 5 min, a 250 mL bolus of crystalloid was given. Another 250 ml bolus of colloid was administrated if SVV was still higher than 12% or SVV decreased over 10%. If CI value was below 2.5 L/min/m2, inotropes were applied to reach this minimum CI, serving as a safety parameter to prevent patients from low cardiac output. If SVV and CI were within the target range but mean arterial pressure (MAP) was below 65 mmHg, vasopressor was started. After the initial assessment, patients were reassessed every 5 min intraoperatively to maintain values according to the study algorithm as illustrated in Fig. 1. Changes in SVV caused by external factors such as pneumoperitoneum, changes in body position, alternation in ventilator settings, or the administration of vasopressor or inotropic drugs did not initiate fluid administration but were noted in the data file.

Fig. 1.

Fig. 1

Algorithm for fluid therapy in the operating room in the goal-directed fluid therapy group; CI: cardiac index; MAP: mean arterial pressure; IBW: ideal body weight; PEEP: positive end expiratory pressure; SVV: Stroke volume variation

In group C, MAP was kept between 65 and 90 mmHg, and central venous pressure (CVP) between 8 and 12 mmHg. 500 ml of crystalloids was infused during induction, followed by a continuous infusion of crystalloids (4 ml/kg/h). If the MAP decreased below 65 mmHg, or if the CVP decreased below 8 mmHg, a 250 mL bolus of crystalloids was given. Another 250 ml bolus of colloid was administrated after waiting 5 min if CVP still decreased below 8 mmHg. If the MAP decreased below 65 mmHg and remained unresponsive to fluids, vasopressor or inotrope was given to maintain the MAP above 65 mmHg (Fig. 2).

Fig. 2.

Fig. 2

Algorithm for fluid therapy in the operating room in the control group; CVP: central venous pressure; MAP: mean arterial pressure. * The goal did not reach after 500 ml colloid administration, consider inotropes or vasopressors

Normothermia was achieved during surgery with a forced-air warming blanket. Intermittent pneumatic leg compression devices were applied to all patients. No nasogastric tube was given. All patients were given a single intravenous dose of 4 mg of ondansetron as prophylaxis against postoperative nausea and vomiting at the end of surgery. Blood loss was substituted with fluids according to the protocols and a hemoglobin value below 8 mg/dL was considered to be a trigger for transfusion of packed red blood cells. At the end of surgery total catecholamine administration, estimated blood loss, urine output and infused fluids were recorded.

Postoperative management

Patients in both groups were postoperatively treated with patient-controlled intravenous analgesia (PCIA) with standard analgesic regimens. All patients were transported to the post anesthesia care unit (PACU) unless the intensive care unit (ICU) was indicated because of intraoperative events. The protocol fluid administration continued in the PACU, with all patients in the conventional fluid therapy arm receiving 1 ml/kg/h of balanced crystalloid solution and those in group G receiving 1 ml/kg/h of maintenance and any additional boluses given based on GDFT protocol. All patients were encouraged to early mobilization and early oral nutrition. All patients were follow-up for at least 30 days after surgery by blinded research team members.

Outcomes

Primary outcomes: GI function and length of hospital stay

Length of hospital stay was determined by the period from completion of surgery to discharge. Standardized discharge criteria were used in this study (Supplementary file: Appendix 2) [19]. Postoperative GI function was evaluated daily after surgery by Intake, Feeling nauseated, Emesis, physical Exam, and Duration of symptoms (I-FEED) scoring system (Table 1) [20]. I-FEED score was calculated at 72 h after surgery. The incidence of POGD (defined as I-FEED score ≥ 6), and the incidence of postoperative gastrointestinal intolerance (POGI) (defined as I-FEED score 3–5) were recorded. Time to first tolerate of an oral diet and time to first flatus were also recorded.

Table 1.

I-FEED scoring system

Scoring item Intake Feeling nauseated Emesis Exam Duration of symptoms
Scoring Tolerating oral diet (0) None (0) None (0) No distention (0) 0–24 h (0)
Limited Tolerance (1) Responsive to treatment (1) ≥ episode of low volume (< 100 ml) and non-bilious (1) Distention without tympany (1) 24–72 h (1)
Complete intolerance (2) Resistant to treatment (2) ≥ episode of high volume (> 100 ml) and bilious (2) Significant distention with tympany (2) > 72 h (2)

I-FEED, Intake, Feeling Nauseated, Emesis, Exam, and Duration of symptoms. The scoring system attributes 0–2 points for each of the 5 components based on the clinical presentation of the patient and categorizes patients into normal (0–2), postoperative GI intolerance (3–5), and postoperative GI dysfunction (≥ 6)

Secondary outcomes

Serum lactate level and blood glucose level were measured at induction and two hours after surgery initiate. Quality of recover score (QoR) based on a previously validated questionnaire (Supplementary file: Appendix 3: QoR-40) [21] was calculated on 1st day, 3rd day, and 5th day after surgery. Time to first postoperative mobilization was recorded. The total number of patients with postoperative complication (except POGD) and the incidence of mortality during study period were recorded from the patient record and by visiting patients on the ward by the investigators. Complications were defined as any deviation from the normal postoperative course, guided by the European Perioperative Clinical Outcome (EPCO) definitions [22].

Statistical analysis

Our sample size was calculated based on the length of hospital stay using PASS 15.0 software (NCSS, LLC. Kaysville, Utah). According to the findings of our previous meta-analysis [23] and the pilot study of 16 patients, 45 patients needed to be recruited in each group to detect a 3-day mean difference in length of hospital stay between the two groups with standard deviation of 5 in each group, with probabilities of two-sided alpha and beta errors of 0.05 and 0.20, respectively. Sample size was increased to 110 patients to accommodate losses to follow-up and protocol violations. We assumed that a similar sample size would be needed to detect similar difference of postoperative GI function recovery.

All analyses were performed in a modified intention-to- treat population, which included all patients who had undergone both randomization and anesthesia with advanced hemodynamic monitoring for eligible surgery. Continuous data were presented as mean with standard deviation (SD) or median with interquartile ranges (IQR) and binomial data as absolute number (percentage). All data were tested for normality and normal variances and parametric or non-parametric tests were used as appropriate. Fisher’s exact test was used to analyze binomial data. Student t-test or Manne Whitney U-test was used to analyze continuous data as appropriate. Neither multivariable analyses to adjust for preoperative risk nor preplanned subgroup analyses were planned or performed in this study. All tests were two-tailed, and a value of P < 0.05 accepted as significant. Statistical analysis was performed using Stata/SE software 16.0 (College Station, TX, USA).

Results

A total of 110 patients were recruited in this study and 10 patients were excluded after randomization based on protocol-defined exclusion criteria: 3 patients excluded due to surgery not proceeding as scheduled, 4 patients withdrew consent after randomization, 3 were found ineligible after consent because of arrythmia on preoperative evaluation. One hundred patients finished this study and data obtained from these patients were used in the analysis (Fig. 3). All evaluable patients were followed for 30 days postoperatively, and none were lost to follow-up.

Fig. 3.

Fig. 3

Consolidated Standards of Reporting Trials (CONSORT) diagram

Comparisons of general characteristics of the study population of both the groups were given in Table 2. No statistical difference was observed in their age, BMI, ASA physical status, sex ratio, duration of anesthesia, duration of surgery, P-POSSUM physical score, P-POSSUM operative score and surgical technique (open or laparoscopy) between the groups.

Table 2.

Comparison of general characteristics of the study population of both the groups

Control group (n = 50) GDFT group (n = 50) P value
Age, [yr., mean ± SD] 59.2 ± 13.1 64.0 ± 14.0 0.068
Sex ratio, n (%) 0.671
 Male 34 (68) 32 (64)
 Female 16 (32) 18 (36)
BMI, mean ± SD 23.8 ± 3.2 23.0 ± 3.4 0.208
ASA physical status, n (%) 0.791
 1 8 (16) 6 (12)
 2 33 (66) 36 (72)
 3 9 (18) 8 (16)
Duration of anesthesia, [min, mean ± SD] 250.8 ± 91.0 225.5 ± 87.2 0.195
Duration of surgery, [min, mean ± SD] 212 ± 93.5 191.0 ± 83.5 0.228
P-POSSUM (physiologic score), [mean ± SD] 15.6 ± 2.8 14.9 ± 3.2 0.685
P-POSSUM (operative score), [mean ± SD] 13.4 ± 4.1 14.2 ± 3.8 0.779
Comorbidities, n (%)
 Pulmonary disease 3 (6%) 2 (4%)
 Hypertension 16 (32%) 17 (34%)
 Diabetes 12 (24%) 8 (16%)
 Neurological disease 6 (12%) 8 (16%)
 Coronary artery disease 7 (14%) 9 (18%)
Type of procedure, n (%)
 Gastrectomy 8 7 0.551
 Liver resection 3 2
 Whipple 6 4
 Hemicolectomy 20 17
 Rectum resection 5 12
 Radical cystectomy or prostatectomy 3 1
 Radical resection for gynecologic cancer 1 3
 Other oncologic resection procedure 3 3
Stoma n (%) 7 (14%) 9 (18%) 0.667
Surgical technique, n (%) 0.134
 Laparoscopy 31 (62) 38 (76)
 Laparotomy 19 (38) 12 (24)

Data are presented as mean ± SD (standard deviation) or absolute numbers (% percentage)

Data were compared using Student’s t-test, or Fisher’s exact test as appropriate. There were no statistically significant differences between GDFT group and control group

ASA American Association of Anesthesiologists, BMI Body mass index, POSSUM Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity

No specific complications or harm due to the use of the hemodynamics trending monitor or to the application of the study algorithm could be observed. The net amount of fluid administered intraoperatively [1975 ml (1575-2600 ml) in group G versus 2750 ml (2250-3300 ml) in group C, P < 0.001] and the amount of crystalloid volume replacement were significantly lower in group G [1600 ml (837 ml-2100 ml) in group G versus 2200 ml (2025-2513 ml) in group C, P < 0.001] and more urine output was found in group G [600 ml (300–800 ml) in group G versus 350 ml (200-800 ml) in group C, P = 0.041]. The intraoperative fluid balance was also significant lower in group G [1199 ml (800-2750 ml) in group G versus 2116 ml (1100-3100 ml), p < 0.001]. No difference was found with regard to administration of vasopressor and inotropes, loss of blood, MAP and heart rate changes, and the amount of colloid administered. Values were given in Table 3 and Table S1 in supplementary file.

Table 3.

Comparison of the intraoperative fluid management and the use of vasoactive drugs of both group

Control group GDFT group P value
Net amount infused, [ml, median (IQR)] 2750 (2250–3300) 1975 (1575–2600) < 0.001*
Crystalloid, [ml, median (IQR)] 2200 (2025–2513) 1600 (837–2100) < 0.001*
Colloid, [ml, median (IQR)] 500 (0–1000) 500 (500–1000) 0.981
Urine output, [ml, median (IQR)] 350 (200–800) 600 (300–800) 0.041*
Blood loss, [ml, median (IQR)] 100 (0–350) 100 (50–225) 0.970
Vasopressor or inotrope, n (%) 18 (36) 27 (54) 0.072
 Norepinephrine, n[mg, median (IQR)] 10 [0.04(0.02–0.10)] 13 [0.06(0.04–0.12)]
 Dobutamine, n[mg,median (IQR)] 2 [2.62(0–3.50)] 6 [2.55(0–3.50)]
 Phenylephrine, n[mg, median (IQR)] 6 [0.05(0.01–0.1)] 7 [0.04(0.02–0.05)]
 Ephedrine, n[mg,median (IQR)] 0 1 [6]

Data are presented as median (IQR, interquartile ranges), or absolute numbers (n, % percentage)

Data were compared using Mann–Whitney U-test, or Fisher’s exact test as appropriate

*Statistical significance (P < 0.05) compared with control

Primary outcomes

The mean length of hospital stay was significantly shorter in the group G than that in the group C (9.0 ± 5.8 days versus 12.0 ± 4.6 days, P = 0.001) (Table 4). Two of 50 (4%) patients in group G developed POGD, whereas 16 of 50 (32%) patients developed POGD in the group C. Moreover, POGI was observed in 12 patients in group G and 17 patients in group C (P < 0.001) (Fig. 4). GDFT significantly shorten time to first flatus by 11 h [28.2 h (9.2–48.0 h) in group G versus 39.4 h (24.9–67.5 h) in group C, P = 0.009] and time to first tolerate oral diet by 2 days [4.0 days (2.7–6.0 days) in group G versus 6.0 days (5.0–9.3 days) in group C, P < 0.001] (Table 4).

Table 4.

Comparison of primary outcomes between two groups

Control group
(n = 50)
GDFT group
(n = 50)
P value
Time to first flatus, [hours, median (IQR)] 39.4(24.9–67.5) 28.2(9.2–48.0) 0.009*
Time to first tolerate oral diet, [days, median (IQR)] 6.0(5.0–9.3) 4.0(2.7–6.0) < 0.001*
The length of hospital stays, [day, mean ± SD] 12.0 ± 4.6 9.0 ± 5.8 0.001*

Data are presented as mean ± SD (standard deviation), or median (IQR, interquartile ranges). Data were compared using Mann–Whitney U-test or Student’s t-test as appropriate

*Statistical significance (P < 0.05) compared with control

Fig. 4.

Fig. 4

Comparison of gastrointestinal (GI) function using I-FEED score (Intake, Feeling nauseated, Emesis, physical Exam, and Duration of symptoms) after surgery. POGD: postoperative intestinal dysfunction; POGI: Postoperative gastrointestinal intolerance

Secondary outcomes

Serum lactate level and blood glucose level were not significant different at induction (P = 0.652 and P = 0.971); however, both of them were higher in group C compared with group G at two hours after initiation of surgery [serum lactate level: 1.4 mmol/L (1.2–1.9 mmol/L) in group C versus 1 mmol/L (0.7–1.2 mmol/L) in group G, P < 0.001 and blood glucose level: 7.8 mmol/L (6.1–9.4 mmol/L) in group C versus 6.9 mmol/L (5.7–8.2 mmol/L) in group G, P = 0.031] (Table 5). The QoR score was higher in group G on day 1 after surgery [130.0 (118.0–138.0) in group G versus 95.0 (85.0–109.0) in group C, P < 0.001], day 3 after surgery [139.5 (135.0–145.0) in group G versus 117.5 (96.0–124.0) in group C, P < 0.001], and day 5 after surgery [147.0 (144.0–150.0) in group G versus 129.5 (116.0–137.0) in group C, P < 0.001] (Fig. 5). Time to first postoperative mobilization in group G was significantly shorter than that in group C [2.0 days (1.0–3.0 days) in group G versus 2.5 days (1.0–3.8 days) in group C, P = 0.025]. The total number of patients with complications other than POGD after surgery were similar between the two groups, except the incidence of postoperative pneumonia. Six patients in group C developed postoperative pneumonia (2 were moderate and the rest were mild), whereas none in group G (P = 0.012). The rest complications in this trial were mild, except one patient in the group G died 14 days after laparoscopic gastrectomy secondary to anastomotic rupture and massive hemorrhage (Table 5).

Table 5.

Comparison of secondary outcomes between two groups

Control group
(n = 50)
GDFT group
(n = 50)
P value
Time to first postoperative mobilization, [day, median (IQR)] 2.5 (1.0–3.8) 2.0 (1.0–3.0) 0.025*
Serum lactate level [mmol/L, median (IQR)]
 At induction 1.1 (0.9–1.3) 1.1 (0.8–1.6) 0.652
 2 h after surgery initiate 1.4 (0.7–1.2) 1.0 (1.2–1.9) < 0.001*
Blood glucose level [mmol/L, median (IQR)]
 At induction 5.9 (5.4–6.9) 5.7 (5.3–7.2) 0.971
 2 h after surgery initiate 7.8 (6.1–9.4) 6.9 (5.7–8.2) 0.031*
Postoperative complications, n (%) 13 (26) 6 (12) 0.072
 Arrhythmia 1 (2) 1 (2) 1.000
 Pneumonia 6 (12) 0 (0) 0.010*
 Lower limb venous thrombosis 6 (12) 1 (2) 0.054
 Wound infection 5 (10) 2 (4) 0.242
 Anastomotic fistula 0 (0) 0 (0) 1.000
 Hemorrhage 0 (0) 1 (2) 1.000
30 days mortality, n (%) 0 (0) 1 (2) 1.000

Data are presented as median (IQR, interquartile range), or absolute numbers (n, % percentage)

Data were compared using Mann–Whitney U-test, or Fisher’s exact test as appropriate

*Statistical significance (P < 0.05) compared with control

Fig. 5.

Fig. 5

Comparison of quality of recovery (QoR-40) score on day 1, day 3 and day 5 after surgery

Discussion

This study found that using intraoperative GDFT guided by SVV and CI measured by the FloTrac/Vigileo monitor led to improved GI function and a shorter length of stay after major abdominal surgery.

The GDFT group had a mean hospital stay of 9 days, which was 3 days shorter than the control group’s average stay of 12 days. This reduction in postoperative stay is comparable in size to findings from other studies [11, 2426]. Patients who received GDFT showed a lower incidence of POGD, as well as lower levels of serum lactate and blood glucose during surgery. Additionally, they had a higher recovery score after surgery and were able to mobilize earlier in the postoperative period. One potential explanation for these findings is that GDFT may help to reduce the stress response and tissue edema, while improving systemic perfusion and facilitating GI function recovery. As a result, patients who received GDFT experienced a shorter hospital stay.

The recovery of GI function is a crucial factor in postoperative recovery following major abdominal surgery. Hypovolemia can cause loss of perfusion to the tip of the microvillus, triggering apoptosis and potentially necrosis, which typically requires about 3 days for recovery [27], while excessive fluid administration may inhibit the gastrointestinal transit and result in significant interstitial edema [28]. Previous meta-analyses have indicated that GDFT can reduce the length of hospital stay and aid in the recovery of GI function after major abdominal surgery, particularly in high-risk patients [7, 2931]. However, the benefits of GDFT in low-to-moderate patients remains controversial. Some studies found that GDFT improved GI function recovery and reduced hospital stay in low-to-moderate risk patients following major abdominal surgery [25, 26, 32]. Others suggest that the treatment benefits may be more modest than previously believed [15, 3335]. These conflicting findings may be due to differences in the GDFT algorithms used in clinical settings, as there is no clear consensus on the most effective parameter or method of monitoring. In this study, we utilized a GDFT protocol guided by SVV, similar to that used in Benes et al. study [12] and Mayer et al. study [11] which were conducted in high-risk patients. Our findings were consistent with these studies and demonstrated the beneficial effects of GDFT on the length of hospital stay and GI function in low-to-moderate risk patients.

Postoperative GI disorder was commonly referred to as postoperative ileus (POI). However, the heterogeneous definition of POI precludes the ability to ascertain the true incidence of the condition and study it properly within a research setting. In 2018, the American Society for Enhanced Recovery After Surgery (ERAS) and Perioperative Joint Consensus considered forgoing the traditional definition of POI for I-FEED scoring system, a more functional definition of POGD, to precisely describe the clinical manifestations of the GI disorder [20]. POGD was thus used in our study, and the I-FEED score was measured to evaluate GI function. Three categories of postoperative GI function were defined by I-FEED score system, including normal (I-FEED score 0–2), POGI (I-FEED score 3–5) and POGD (I-FEED score ≥ 6). We found GDFT significantly reduced the incidence of POGD (4% in GDFT group versus 32% in the control group) following major abdominal surgery. In addition, tolerance of an enteral diet is one of the fundamental components of postoperative hospital discharge criteria, we found that the time to first tolerate oral diet was shortened by 2 days in the GDFT group compared with the conventional fluid therapy group.

Our study found that SVV-guided GDFT resulted in a significant reduction in total fluid administered (by 29%) and crystalloid administration (by 27%). This suggests that the beneficial effect of GDFT on the recovery of GI function can be attributed to the responsive and guided use of fluids, as well as the avoidance of unnecessary and potentially harmful fluid delivery when hemodynamic goals were met. Additionally, prior research has identified an independent effect of intraoperative volume on postoperative recovery of GI function [3638]. Overall, these findings highlight the importance of optimized fluid management in improving patient outcomes.

When interpreting these results, it is important to keep the limitations in mind. First, this trial included a mixture of major abdominal oncologic procedures which may potentially influence our results because different types of abdominal surgery led to different mechanical or manipulation forces on the gut and its mesentery. The two groups in this study were comparable with respect to surgical technique, type of procedure and operative POSSUM score. Second, although the data were collected by independent dedicated research personnel not involved in the intraoperative management of patients, we were unable to blind the anesthesiologists and investigators in operating room as to the treatment group, and hence may have introduced bias. However, intraoperative fluid administration in both groups was guided by specific fluid administration protocols, which should minimize bias. Third, the optimal cut-off value for SVV is still uncertain, results of protocols based only on variations itself should be assessed with caution. We used the 12% threshold in our study recommend by Ramsingh [26] for an SVV of over 12% indicates inadequate fluid volume [39]. A dynamic change of CI and MAP were used for decision-making to forestall potential flaws. In addition, we used a fixed tidal volume of 8 ml/kg and excluded patients with irregular heart rhythm to minimize all of potential confounders including vital volume [40] and heart rhythm [41] and assessed a sustained rise of SVV above 12% in a period of five minutes to start an intervention in order to exclude a possible bias due to surgical manipulations or other influences. Fourth, the sample size of this study was calculated based on the endpoint of length of hospital stay. The length of hospital stay is often considered a surrogate endpoint, as it can be influenced by non-medical factors such as healthcare systems and patient preferences. However, in our study, we utilized standardized discharge criteria (detailed in Supplementary File: Appendix 2) that primarily focused on the return of GI function. This allowed us to confidently detect differences in time to the return of GI function. It should be noted that our GDFT strategy was only implemented intraoperatively, and postoperative fluid management was not standardized. Thus, it's possible that poor postoperative fluid management may have negated the benefits of intraoperative fluid optimization.

In summary, our study found that using GDFT guided by SVV and CI with the FloTrac/Vigileo monitor resulted in faster recovery of GI function and shorter hospital stays in low-to-moderate risk patients undergoing major abdominal surgery. However, further large-scale studies are necessary to fully evaluate the impact of this strategy on morbidity and mortality.

Supplementary Information

Additional file 1. (15.8KB, docx)
Additional file 2. (14.7KB, docx)
Additional file 3. (16.9KB, pdf)
12871_2023_2360_MOESM4_ESM.doc (40KB, doc)

Additional file 4: Table S1. Intraoperative haemodynamic profile.

Acknowledgements

Not applicable.

Abbreviations

BIS

Bispectral index

CI

Cardiac index

CVP

Central venous pressure

CONSORT

Consolidated Standards of Reporting Trials

EPCO

European Perioperative Clinical Outcome

GI

Gastrointestinal

GDFT

Goal-directed fluid therapy

ICU

Intensive care unit

I-FEED

Intake, Feeling nauseated, Emesis, physical Exam, and Duration of symptoms

IQR

Interquartile ranges

MAP

Mean arterial pressure

PCIA

Patient-controlled intravenous analgesia

POGD

Postoperative gastrointestinal dysfunction

PEEP

Positive end expiratory pressure

PACU

Post anesthesia care unit

POGI

Postoperative gastrointestinal intolerance

QoR

Quality of recover score

SD

Standard deviation

SVV

Stroke volume variation

Authors’ contributions

Yanxia Sun, Xuan Liang, Fang Chai, Dongjing Shi and Yue Wang performed material preparation, data collection and analysis. Yanxia Sun wrote the main manuscript text and Xuan Liang prepared tables and figures. All authors reviewed the manuscript.

Funding

This research received the grant from Beijing Municipal Administration of Hospital (PX2018007).

Availability of data and materials

The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by Beijing Tong Ren Hospital (TR-IRB:20170828) and informed consent was obtained from all individual participants included in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Yanxia Sun and Xuan Liang contributed equally to this work.

References

  • 1.Greenblatt DY, Weber SM, O'Connor ES, LoConte NK, Liou JI, Smith MA. Readmission after colectomy for cancer predicts one-year mortality. Ann Surg. 2010;251:659–669. doi: 10.1097/SLA.0b013e3181d3d27c. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.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;89:514–519. doi: 10.1097/00000539-199908000-00050. [DOI] [PubMed] [Google Scholar]
  • 3.Zogg CK, Najjar P, Diaz AJ, Zogg DL, Tsai TC, Rose JA, Jr, et al. Rethinking priorities: cost of complications after elective colectomy. Ann Surg. 2016;264:312–322. doi: 10.1097/SLA.0000000000001511. [DOI] [PubMed] [Google Scholar]
  • 4.Mythen MG, Webb AR. Perioperative plasma volume expansion reduces the incidence of gut mucosal hypoperfusion during cardiac surgery. Arch Surg. 1995;130:423–429. doi: 10.1001/archsurg.1995.01430040085019. [DOI] [PubMed] [Google Scholar]
  • 5.Suehiro K, Rinka H, Ishikawa J, Fuke A, Arimoto H, Miyaichi T. Stroke volume variation as a predictor of fluid responsiveness in patients undergoing airway pressure release ventilation. Anaesth Intensive Care. 2012;40:767–772. doi: 10.1177/0310057X1204000503. [DOI] [PubMed] [Google Scholar]
  • 6.Tote SP, Grounds RM. Performing perioperative optimization of the high-risk surgical patient. Br J Anaesth. 2006;97:4–11. doi: 10.1093/bja/ael102. [DOI] [PubMed] [Google Scholar]
  • 7.Sun Y, Chai F, Pan C, Romeiser JL, Gan TJ. Effect of perioperative goal-directed hemodynamic therapy on postoperative recovery following major abdominal surgery-a systematic review and meta-analysis of randomized controlled trials. Crit Care. 2017;21:141. doi: 10.1186/s13054-017-1728-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Giglio MT, Marucci M, Testini M, Brienza N. Goal-directed haemodynamic therapy and gastrointestinal complications in major surgery: a meta-analysis of randomized controlled trials. Br J Anaesth. 2009;103:637–646. doi: 10.1093/bja/aep279. [DOI] [PubMed] [Google Scholar]
  • 9.Lee KY, Yoo YC, Cho JS, Lee W, Kim JY, Kim MH. The effect of intraoperative fluid management according to stroke volume variation on postoperative bowel function recovery in colorectal cancer surgery. J Clin Med. 2021;10:1857. doi: 10.3390/jcm10091857. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Srinivasa S, Taylor MH, Singh PP, Yu TC, Soop M, Hill AG. Randomized clinical trial of goal-directed fluid therapy within an enhanced recovery protocol for elective colectomy. Br J Surg. 2013;100:66–74. doi: 10.1002/bjs.8940. [DOI] [PubMed] [Google Scholar]
  • 11.Mayer J, Boldt J, Mengistu AM, Rohm KD, Suttner S. Goal-directed intraoperative therapy based on autocalibrated arterial pressure waveform analysis reduces hospital stay in high-risk surgical patients: a randomized, controlled trial. Crit Care. 2010;14:R18. doi: 10.1186/cc8875. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Benes J, Chytra I, Altmann P, Hluchy M, Kasal E, Svitak R, et al. Intraoperative fluid optimization using stroke volume variation in high risk surgical patients: results of prospective randomized study. Crit Care. 2010;14:R118. doi: 10.1186/cc9070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Slagt C, Beute J, Hoeksema M, Malagon I, Mulder JW, Groeneveld JA. Cardiac output derived from arterial pressure waveform analysis without calibration vs. thermodilution in septic shock: evolving accuracy of software versions. Eur J Anaesthesiol. 2010;27:550–4. doi: 10.1097/EJA.0b013e3283333a92. [DOI] [PubMed] [Google Scholar]
  • 14.Manecke GR, Jr, Auger WR. Cardiac output determination from the arterial pressure wave: clinical testing of a novel algorithm that does not require calibration. J Cardiothorac Vasc Anesth. 2007;21:3–7. doi: 10.1053/j.jvca.2006.08.004. [DOI] [PubMed] [Google Scholar]
  • 15.Xu C, Peng J, Liu S, Huang Y, Guo X, Xiao H, et al. Goal-directed fluid therapy versus conventional fluid therapy in colorectal surgery: A meta analysis of randomized controlled trials. Int J Surg. 2018;56:264–273. doi: 10.1016/j.ijsu.2018.06.034. [DOI] [PubMed] [Google Scholar]
  • 16.CONSORT. Consort :Welcome to the CONSORT Website. Medical Research Council. 2010. Available from: http://www.consort-statement.org/.
  • 17.Prytherch DR, Whiteley MS, Higgins B, Weaver PC, Prout WG, Powell SJ. POSSUM and Portsmouth POSSUM for predicting mortality. Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity. Br J Surg. 1998;85:1217–20. doi: 10.1046/j.1365-2168.1998.00840.x. [DOI] [PubMed] [Google Scholar]
  • 18.Copeland GP. The POSSUM system of surgical audit. Arch Surg. 2002;137:15–19. doi: 10.1001/archsurg.137.1.15. [DOI] [PubMed] [Google Scholar]
  • 19.Fiore JF, Jr, Bialocerkowski A, Browning L, Faragher IG, Denehy L. Criteria to determine readiness for hospital discharge following colorectal surgery: an international consensus using the Delphi technique. Dis Colon Rectum. 2012;55:416–423. doi: 10.1097/DCR.0b013e318244a8f2. [DOI] [PubMed] [Google Scholar]
  • 20.Hedrick TL, McEvoy MD, Mythen MMG, Bergamaschi R, Gupta R, Holubar SD, et al. American society for enhanced recovery and perioperative quality initiative joint consensus statement on postoperative gastrointestinal dysfunction within an enhanced recovery pathway for elective colorectal surgery. Anesth Analg. 2018;126:1896–1907. doi: 10.1213/ANE.0000000000002742. [DOI] [PubMed] [Google Scholar]
  • 21.Shida D, Wakamatsu K, Tanaka Y, Yoshimura A, Kawaguchi M, Miyamoto S, et al. The postoperative patient-reported quality of recovery in colorectal cancer patients under enhanced recovery after surgery using QoR-40. BMC Cancer. 2015;15:799. doi: 10.1186/s12885-015-1799-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Jammer I, Wickboldt N, Sander M, Smith A, Schultz MJ, Pelosi P, et al. Standards for definitions and use of outcome measures for clinical effectiveness research in perioperative medicine: European Perioperative Clinical Outcome (EPCO) definitions: a statement from the ESA-ESICM joint taskforce on perioperative outcome measures. Eur J Anaesthesiol. 2015;32:88–105. doi: 10.1097/EJA.0000000000000118. [DOI] [PubMed] [Google Scholar]
  • 23.Yuan J, Sun Y, Pan C, Li T. Goal-directed fluid therapy for reducing risk of surgical site infections following abdominal surgery - A systematic review and meta-analysis of randomized controlled trials. Int J Surg. 2017;39:74–87. doi: 10.1016/j.ijsu.2017.01.081. [DOI] [PubMed] [Google Scholar]
  • 24.Wakeling HG, McFall MR, Jenkins CS, Woods WG, Miles WF, Barclay GR, et al. Intraoperative oesophageal Doppler guided fluid management shortens postoperative hospital stay after major bowel surgery. Br J Anaesth. 2005;95:634–642. doi: 10.1093/bja/aei223. [DOI] [PubMed] [Google Scholar]
  • 25.Gan TJ, Soppitt A, Maroof M, el-Moalem H, Robertson KM, Moretti E, et al. Goal-directed intraoperative fluid administration reduces length of hospital stay after major surgery. Anesthesiology. 2002;97:820–6. doi: 10.1097/00000542-200210000-00012. [DOI] [PubMed] [Google Scholar]
  • 26.Ramsingh DS, Sanghvi C, Gamboa J, Cannesson M, Applegate RL., 2nd Outcome impact of goal directed fluid therapy during high risk abdominal surgery in low to moderate risk patients: a randomized controlled trial. J Clin Monit Comput. 2013;27:249–257. doi: 10.1007/s10877-012-9422-5. [DOI] [PubMed] [Google Scholar]
  • 27.Mythen MG. Postoperative gastrointestinal tract dysfunction: an overview of causes and management strategies. Clevel Clin J Med. 2009;76(Suppl 4):S66–71. doi: 10.3949/ccjm.76.s4.11. [DOI] [PubMed] [Google Scholar]
  • 28.Moretti EW, Robertson KM, El-Moalem H, Gan TJ. Intraoperative colloid administration reduces postoperative nausea and vomiting and improves postoperative outcomes compared with crystalloid administration. Anesth Analg. 2003;96:611–7, table of contents. doi: 10.1097/00000539-200302000-00056. [DOI] [PubMed] [Google Scholar]
  • 29.Wongyingsinn M, Baldini G, Charlebois P, Liberman S, Stein B, Carli F. Intravenous lidocaine versus thoracic epidural analgesia: a randomized controlled trial in patients undergoing laparoscopic colorectal surgery using an enhanced recovery program. Reg Anesth Pain Med. 2011;36:241–248. doi: 10.1097/AAP.0b013e31820d4362. [DOI] [PubMed] [Google Scholar]
  • 30.Navarro LH, Bloomstone JA, Auler JO, Jr, Cannesson M, Rocca GD, Gan TJ, et al. Perioperative fluid therapy: a statement from the international Fluid Optimization Group. Perioperative medicine. 2015;4:3. doi: 10.1186/s13741-015-0014-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Miller TE, Roche AM, Gan TJ. Poor adoption of hemodynamic optimization during major surgery: are we practicing substandard care? Anesth Analg. 2011;112:1274–1276. doi: 10.1213/ANE.0b013e318218cc4f. [DOI] [PubMed] [Google Scholar]
  • 32.Calvo-Vecino JM, Ripolles-Melchor J, Mythen MG, Casans-Frances R, Balik A, Artacho JP, et al. Effect of goal-directed haemodynamic therapy on postoperative complications in low-moderate risk surgical patients: a multicentre randomised controlled trial (FEDORA trial) Br J Anaesth. 2018;120:734–744. doi: 10.1016/j.bja.2017.12.018. [DOI] [PubMed] [Google Scholar]
  • 33.Gomez-Izquierdo JC, Trainito A, Mirzakandov D, Stein BL, Liberman S, Charlebois P, et al. Goal-directed fluid therapy does not reduce primary postoperative ileus after elective laparoscopic colorectal surgery: a randomized controlled trial. Anesthesiology. 2017;127:36–49. doi: 10.1097/ALN.0000000000001663. [DOI] [PubMed] [Google Scholar]
  • 34.Arslan-Carlon V, Tan KS, Dalbagni G, Pedoto AC, Herr HW, Bochner BH, et al. Goal-directed versus standard fluid therapy to decrease ileus after open radical cystectomy: a prospective randomized controlled trial. Anesthesiology. 2020;133:293–303. doi: 10.1097/ALN.0000000000003367. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Myles PS, Bellomo R, Corcoran T, Forbes A, Peyton P, Story D, et al. Restrictive versus liberal fluid therapy for major abdominal surgery. N Engl J Med. 2018;378:2263–2274. doi: 10.1056/NEJMoa1801601. [DOI] [PubMed] [Google Scholar]
  • 36.Li Y, He R, Ying X, Hahn RG. Ringer's lactate, but not hydroxyethyl starch, prolongs the food intolerance time after major abdominal surgery; an open-labelled clinical trial. Bmc Anesthesiol. 2015;15:72. doi: 10.1186/s12871-015-0053-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Shim JS, Noh TI, Ku JH, Lee S, Kwon TG, Kim TH, et al. Effect of intraoperative fluid volume on postoperative ileus after robot-assisted radical cystectomy. Sci Rep. 2021;11:10522. doi: 10.1038/s41598-021-89806-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Shin HJ, Na HS, Jeon YT, Park HP, Nam SW, Hwang JW. The impact of irrigating fluid absorption on blood coagulation in patients undergoing transurethral resection of the prostate: A prospective observational study using rotational thromboelastometry. Medicine (Baltimore) 2017;96:e5468. doi: 10.1097/MD.0000000000005468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Chakravarthy M, Patil TA, Jayaprakash K, Kalligudd P, Prabhakumar D, Jawali V. Comparison of simultaneous estimation of cardiac output by four techniques in patients undergoing off-pump coronary artery bypass surgery–a prospective observational study. Ann Card Anaesth. 2007;10:121–126. doi: 10.4103/0971-9784.37937. [DOI] [PubMed] [Google Scholar]
  • 40.Reuter DA, Bayerlein J, Goepfert MS, Weis FC, Kilger E, Lamm P, et al. Influence of tidal volume on left ventricular stroke volume variation measured by pulse contour analysis in mechanically ventilated patients. Intensive Care Med. 2003;29:476–480. doi: 10.1007/s00134-003-1649-7. [DOI] [PubMed] [Google Scholar]
  • 41.Umgelter A, Reindl W, Schmid RM, Huber W. Is supra-ventricular arrhythmia a reason for the bad performance of the FlowTrac device? Crit Care. 2007;11:406; author reply. doi: 10.1186/cc5154. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1. (15.8KB, docx)
Additional file 2. (14.7KB, docx)
Additional file 3. (16.9KB, pdf)
12871_2023_2360_MOESM4_ESM.doc (40KB, doc)

Additional file 4: Table S1. Intraoperative haemodynamic profile.

Data Availability Statement

The datasets used and/or analyzed during the current study available from the corresponding author on reasonable request.


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