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BioMed Research International
Volume 2018, Article ID 1978968, 7 pages
https://doi.org/10.1155/2018/1978968
Research Article

Splenic Doppler Resistive Index Variation Mirrors Cardiac Responsiveness and Systemic Hemodynamics upon Fluid Challenge Resuscitation in Postoperative Mechanically Ventilated Patients

1Anaesthesia and Intensive Care Unit, E.O. Ospedali Galliera, Genoa, Italy
2University of Pavia, Department of Clinical, Surgical, Diagnostic and Pediatric Sciences. Intensive Care Unit, Fondazione Policlinico San Matteo IRCCS, Pavia, Italy
3Anaesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology, Genoa, Italy
4Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy
5Cardiac Surgery, University of Parma, Parma, Italy

Correspondence should be addressed to Francesco Corradi; moc.liamg@idarrocsecnarf

Received 19 April 2018; Revised 19 July 2018; Accepted 2 August 2018; Published 8 August 2018

Academic Editor: Hongqun Liu

Copyright © 2018 Claudia Brusasco et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Objective. To test if splenic Doppler resistive index (SDRI) allows noninvasive monitoring of changes in stroke volume and regional splanchnic perfusion in response to fluid challenge. Design and Setting. Prospective observational study in cardiac intensive care unit. Patients. Fifty-three patients requiring mechanical ventilation and fluid challenge for hemodynamic optimization after cardiac surgery. Interventions. SDRI values were obtained before and after volume loading with 500 mL of normal saline over 20 min and compared with changes in systemic hemodynamics, determined invasively by pulmonary artery catheter, and arterial lactate concentration as expression of splanchnic perfusion. Changes in stroke volume >10% were considered representative of fluid responsiveness. Results. A <4% SDRI reduction excluded fluid responsiveness, with 100% sensitivity and 100% negative predictive value. A >9% SDRI reduction was a marker of fluid responsiveness with 100% specificity and 100% positive predictive value. A >4% SDRI reduction was always associated with an improvement of splanchnic perfusion mirrored by an increase in lactate clearance and a reduction in systemic vascular resistance, regardless of fluid responsiveness. Conclusions. This study shows that SDRI variations after fluid administration is an effective noninvasive tool to monitor systemic hemodynamics and splanchnic perfusion upon volume administration, irrespective of fluid responsiveness in mechanically ventilated patients after cardiac surgery.

1. Introduction

Fluid resuscitation is a cornerstone of perioperative management of patients undergoing cardiac surgery. The effects of extracorporeal circulation, together with the underlying cardiac disease, are often associated with substantial changes in intravascular volume and hemodynamic status, resulting from possible inflammation processes, hormonal influences, and pharmacological interactions. Hypovolemia and tissue hypoperfusion may occur after surgery and remain undetected, thus leading to postoperative complications, multiorgan dysfunction, prolonged hospital stay, and increased mortality [16]. On the other hand, there is evidence that excessive fluid administration may result in cardiac and systemic fluid overload, with negative impact on wound healing and intestinal peristalsis [7, 8]. Maintenance of adequate cardiac preload is considered as a primary target to optimize left ventricular (LV) performance and global oxygen delivery. Therefore, indexes reflecting cardiac preload and responsiveness to volume administration are of particular interest to the clinician. Animal studies [9, 10] suggest that the spleen may contribute to acute adjustments of cardiovascular function upon volume loading by several mechanisms, including blood reservoir function [9], fluid extravasation from splenic circulation into lymphatic reservoirs, and modulations of blood pressure by reflexes and neurohormonal mechanisms [10]. The role of the spleen in humans has not been yet extensively investigated. In clinical practice, the measurement of the spleen size is commonly used even if it represents only an indirect method to assess splenic circulation and its clinical application is limited by wide interindividual variability. Splenic Doppler resistive index (SDRI) can provide a more direct and less variable assessment of splenic circulation [11] without requiring estimates of Doppler angle or vessel cross-sectional area. Moreover, SDRI is independent of perfusion pressure and is increased by hypotension, hypovolemia, or anemia, and it has been shown to be a clinically useful noninvasive method for early detection of acute cardiovascular changes and persistent occult hypoperfusion in critically ill patients [12].

The aim of the present study was to explore the association between changes of splanchnic perfusion inferred by SDRI and changes of stroke volume in response to fluid challenge during mechanical ventilation following major cardiac surgery.

2. Materials and Methods

2.1. Patients

The study was approved by the Review Board of our University Hospital (Protocol no. 812/2014). Study protocol and aim were explained to patients before elective cardiac surgery and written informed consent was obtained. Fifty-three consecutive patients admitted to the intensive care unit after elective cardiac surgery were prospectively included (Table 1). No statistically significant differences between male and female in terms of age, simplified acute physiology score, and vasoinotropic score were present. The candidate patients were required to have a pulmonary artery catheter in place as per clinical indications, age >18 yr, absence of any condition known to modify SDRI (arrhythmia, aortic regurgitation or stenosis, intra-abdominal hypertension, or intra-aortic balloon pump), not to be under renal replacement therapies, or mechanical ventilation with positive end-expiratory pressure >5 cm H2O or fraction of inspired oxygen >50%.

Table 1: Baseline characteristics at inclusion in 53 patients and type of surgery.
2.2. Study Protocol

All patients were sedated with continuous infusion of propofol and mechanically ventilated with tidal volume of 6 mL/kg of predicted body weight. The eligible patients were studied when a fluid challenge was required to optimize hemodynamic status. SDRI measurements were obtained before fluid challenge (T0) and 5-10 min after 500 mL of normal saline had been centrally infused for 15–20 min by pressure bag (T1). Investigators who performed the SDRI measurements were not involved in patient care, and the physicians in charge of patient care were blinded to SDRI results. The following data were recorded before and after fluid challenge: stroke volume (SV), central venous pressure (CVP), mean arterial pressure (MAP), pulmonary artery occlusion pressure (PAOP), systemic vascular resistance index (SVRI), mixed venous oxygen saturation (SvO2), and arterial lactate level (cLac). Percentage changes between T0 and T1 were calculated. Patients were defined as fluid challenge responders when stroke volume at T1 was ≥10% than at T0.

2.3. Hemodynamic Monitoring

Patients were positioned 30° supine and all pressure transducers were referred to mid chest at the level of right atrium. All patients were monitored with invasive arterial blood pressure by radial (Arterial Leadercath 3F, Vygon, Ecouven, France) and pulmonary artery catheters (141HF7, Edwards Lifesciences, Unterschleißheim, Germany). Clinical data were collected from bedside monitors (Drager Infinity Delta XL, Drager Medical GmbH Lubeck, Germany). Cardiac output was measured by intermittent thermodilution with 10-mL normal saline injected into the superior vena cava via pulmonary artery catheter. Three consecutive injections were randomly performed during the respiratory cycle. When measurements differed by >10%, the cardiac output was further measured twice and the average value was calculated after exclusion of the highest and lowest values. In order to reduce interoperator variability, saline was always injected by the same physician. Thermodilution curves were retained if they showed stable baseline temperature, undisturbed rapid rise, and exponential decay without signs of early recirculation. Blood samples (2 mL each) were collected from the tip of pulmonary artery catheter to measure SvO2 (ABL800 FLEX, Radiometer Medical ApS, 2700 Brønshøj, Denmark). The correct positioning of the catheter was confirmed by the waveform of the pressure curve, catheter length, and a chest X-ray.

2.4. Splenic Doppler Resistive Index Measurements

Ultrasonographic examinations were obtained with a 2.5-MHz phase array transducer, provided with a color-pulsed wave Doppler device for studying of the spleen by last-generation US equipment (Philips CX50 system Philips Healthcare). Patients were placed in a supine position and, after a preliminary examination of abdominal cavity and organs, the complete spleen visualization was obtained in a coronal view including the hilum. Doppler US measurements were obtained by an anesthesiologist (F.C.) with 15 years of experience in Doppler ultrasound. The transducer was positioned on the left intercostal spaces. Color Doppler allowed identification of the main branches of the splenic artery, which were measured just past the hilum, at a distance of 1 cm from it, inside the spleen in a straight tract of the vessel, avoiding more peripheral vessels [13]. The sample gate was adjusted to the site of the vascular lumen. Gain and scale frequency were adjusted for optimum color signals. Waveforms were recorded, and SDRI was calculated as the ratio (S - D) / S, where S and D stand for peak systolic and end-diastolic velocities, respectively. To minimize sampling error, the pulsed wave Doppler spectrum was increased by using the lowest frequency shift range not causing aliasing, and the wall filter was set at a low frequency. Ultrasound examinations were considered technically adequate if they met the following criteria: (i) clear two-dimensional image with definition of spleen parenchyma; (ii) good color image with representation of the intrasplenic vascular blood flow; (iii) at least three Doppler time-velocity spectra representative of all components of arterial flow, from the early systolic to the end-diastolic Doppler shifts. Measurements were obtained over three splenic areas (upper, middle, and lower poles) and the average was retained as the SDRI for analysis.

2.5. Statistical Analysis

All results are expressed as means ± standard deviations, counts, percentages, odds ratio (OR), and 95% confidence interval (CI). The Shapiro-Wilk test was used to evaluate the normal distribution of continuous variables. Unpaired and paired Student's t-test were used for comparisons between and within groups, respectively. Fisher's exact test was used for comparisons of frequencies. A sample size of at least 51 patients was required for a paired t-test with power = 0.8, α = 0.05, effect size = 0.4, and a two-sided alternative hypothesis. Correlations were determined by Pearson’s test. To assess the diagnostic accuracy of SDRI values in the prediction of an increase in SV of 10% or higher, sensitivity receiver operating characteristic (ROC) curves were constructed and the following parameters determined: sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV).

The percentage changes between T0 and T1 of main hemodynamic and clinical variables were entered into univariate logistic regression models with responsiveness to fluid challenge as the dependent variable. The variables that reached statistical significance at univariate analysis were entered into a multivariate logistic regression model. The le Cessie-van Houwelingen-Copas-Hosmer test was used to assess the goodness-of-fit for each logistic regression model [14]. A two-sided p value <0.05 was assumed as statistically significant. Statistical analyses were performed by using SPSS software (version 20.0; SPSS Inc, Chicago, IL), GraphPad Prism 6.00 (GraphPad Software, San Diego, CA), and the R software/environment (version 3.4.2; R Foundation for Statistical Computing, Vienna, Austria).

3. Results

3.1. Baseline Conditions

Before fluid challenge, SDRI was not significantly different between responders and nonresponders (0.68 ± 0.09 and 0.64 ± 0.09; p = 0.106). The same was true for MAP (76 ± 10 versus 73 ± 12 mmHg; p = 0.371), PAOP (15 ± 6 versus 18 ± 6 mmHg; p = 0.155), SvO2 (59 ± 9 versus 63 ± 7 %; p = 0.054), and cLac (1.6 ± 0.9 versus 1.3 ± 0.6 mmol/L; p = 0.141). However, stroke volume (45 ± 14 versus 59 ± 20 mL; p = 0.007) and CVP (12 ± 4 versus 14 ± 4 mmHg; p = 0.041) were lower in responders than nonresponders, whereas SVRI was higher (2490 ± 821 versus 1928 ± 617 dyne-sec/cm−5/m2; p = 0.010).

3.2. Changes after Fluid Challenge
3.2.1. Hemodynamics

After fluid challenge, 30 of the 53 patients included (57%) were fluid challenge responders. Stroke volume change after fluid challenge was 23±13% in responders and 5±3% in nonresponders (p<0.001). In responders, stroke volume (p<0.001) and SVO2 (p = 0.012) were significantly increased and SDRI (p<0.001) and SVRI (p<0.001) significantly decreased, while CVP, MAP, PAOP, and cLac did not change significantly. In nonresponders, stroke volume was also increased (p<0.001) while SDRI (p = 0.006) and cLac (p = 0.017) decreased significantly. No significant changes were observed for CVP, MAP, PAOP, SVRI, and SVO2 (Table 2).

Table 2: Hemodynamic findings before and after fluid challenge.
3.2.2. Splenic Doppler Resistive Index

Absolute values of SDRI were significantly reduced both in responders (0.68 ± 0.09 before and 0.63 ± 0.09 after fluid challenge; p <0.001) and nonresponders (0.64 ± 0.09 before and 0.62 ± 0.09 after fluid challenge; p = 0.006; Table 2) without differences between groups. However, percentage reductions of SDRI were significantly greater (p <0.001) in responders (10 ± 4%) than nonresponders (3.5 ± 2.7%) (Figure 1). SDRI was nonsignificantly different in patients with and without vasopressors before (0.62 ± 0.09 versus 0.67 ± 0.09, respectively; p = 0.131) and after fluid challenge (0.58 ± 0.07 versus 0.63 ± 0.09, respectively; p = 0.097). In addition, no statistically significant difference was found between SDRI percent reduction and vasopressors (7.6% in patients with vasopressors versus 7.3% in patients without vasopressors; p=0.841). SDRI percent reduction was significantly correlated with stroke volume change after fluid challenge (Figure 2) in the whole population (r = –0.51; p<0.001). The area under the ROC curves (AUC) was significant for SDRI percent reduction (AUC: 0.88, 95% CI: 0.80-0.96; p<0.001). A SDRI reduction >9% was a marker of fluid responsiveness, with 100% specificity, 100% positive predictive value, 63% sensitivity, and 68% negative predictive value. A SDRI reduction <4% excluded fluid responsiveness, with 100% sensitivity, 100% negative predictive value, 61% specificity, and 77% positive predictive value. No responder had SDRI reductions < 4%, and conversely none of the nonresponders had SDRI reductions >9% (Figure 3).

Figure 1: (a) Before fluid challenge, SDRI was not significantly different between responders (R) and nonresponders (NR). (b) After fluid challenge, SDRI was not significantly different between R and NR. (c) SDRI percent reduction was statistically different between responders (R) and nonresponders (NR).
Figure 2: Stroke volume percent increase was significantly correlated with SDRI percentage decrease after fluid challenge.
Figure 3: A SDRI percent change >9% was representative of fluid responsiveness, with 100% specificity, 100% positive predictive value, 63% sensitivity, and 68% negative predictive value. A SDRI percent change <4% excluded fluid responsiveness, with 100% sensitivity, 100% negative predictive value, 61% specificity, and 77% positive predictive value. None of the fluid challenge responders (R) had a SDRI percent change <4%, and conversely none of the fluid challenge nonresponders (NR) had a SDRI percent change >9%.

Twenty patients had SDRI reduction between 4% and 9%. Eleven of them were responders and 9 nonresponders. In the former, cLac significantly decreased from 1.8 ± 1 mmol/L before fluid challenge to 1.3 ± 0.6 mmol/L after fluid challenge (p = 0.022) and SVRI from 2663 ± 1089 before fluid challenge to 2175 ± 780 dyne-sec/cm−5/m2 after fluid challenge (p = 0.027). By contrast, in nonresponders only cLac significantly decreased from 1.5 ± 0.6 mmol/L before fluid challenge to 1.2 ± 0.5 mmol/L after fluid challenge (p = 0.009), while SVRI was insignificantly changed from 1893 ± 628 before fluid challenge to 1739 ± 545 dyne-sec/cm−5/m2 after fluid challenge (p = 0.184).

Patients with SDRI reduction <4% showed no further reduction in cLac levels (from 1.2 ± 0.48 mmol/L before fluid challenge to 1.2 ± 0.47 mmol/L after fluid challenge; p = 0.161) or SVRI (from 1953 ± 633 before fluid challenge to 1885 ± 547 dyne-sec/cm−5/m2 after fluid challenge; p = 0.551)

3.2.3. Perfusion

SDRI measurements were statistically correlated with stroke volume (r = –0.37; p = 0.007), cLac (r = –0.45; p = 0.001) and SVO2 (r = –0.52; p <0.001) before and after fluid challenges.

Fluid challenge caused an increase of SDRI ≥4% in 39 patients but a stroke volume increase ≥10% only in 30 of them (p < 0.001). The occurrence of SDRI percent reduction >4% was 100% in responders and 39% in nonresponders. The percent increase of stroke volume was significantly correlated with the percent decrease of SDRI in the whole population (r = –0.51; p <0.001). However, this correlation was significant in nonresponder (r = –0.55; p <0.007) but not in responder (r = -0.23; p <0.905) group. In 9 out of 23 patients with a stroke volume increase <10% after fluid challenge there was a decrease of cLac from 1.4 ± 0.8 to 1.2 ± 0.6 mmol/L (p = 0.017), and SDRI from 0.67 ± 0.12 to 0.63 ± 0.11 (p <0.001), suggesting an improvement in splanchnic perfusion.

3.3. Logistic Regression Model

The main hemodynamic and clinical parameters calculated as percentage change between T0 and T1 were entered into univariate logistic regression models, assuming responsiveness to fluid challenge as dependent variable (Table 3). The variables that reached statistical significance at univariate analysis were then entered into a multivariate logistic regression model. Of these latter, only SDRI percent reduction was statistically significant (p = 0.001; Table 3). The multivariate model showed an excellent performance for both sensitivity and specificity (Figure 4(a)), with an AUC = 0.963 (Figure 4(b)).

Table 3: Univariate and multivariate logistic regression analysis for fluid challenge responsiveness.
Figure 4: (a) Sensibility and specificity of the multivariate logistic regression model for fluid challenge responsiveness (SDRI, p=0.001; SVRI, p=0.163; SVO2, p=0.159). (b) ROC curve with the area under curve (AUC) of the same multivariate logistic regression model.

4. Discussion

The main findings of our study were that (1) an SDRI reduction >9% was a marker of fluid responsiveness, with 100% specificity and 100% positive predictive value; (2) an SDRI reduction >4% was always associated with an improvement of splanchnic hypoperfusion mirrored by an increase in lactate clearance and reduction in systemic vascular resistance, regardless of fluid responsiveness; and (3) a SDRI reduction <4% excluded fluid responsiveness, with 100% sensitivity and 100% negative predictive value, without improvement in splanchnic perfusion.

Stukely firstly suggested in 1722 that the spleen was a “diverticulum of the systemic circulation, filling and empting with blood, thus acting as a controller of blood volume” [15]. In animals, the spleen constitutes an integral part of the splanchnic vasculature and receives about 10% of cardiac output; this peculiar anatomical and physiological organization optimally position it as a mirror of intravascular volume. Available evidence suggests that mobilization of blood from the splanchnic region during hypovolemia and pooling of infused fluid occur via a reflex regulation involving atrial receptors and sympathetic innervation of splanchnic capacitance vessels [16]. Moreover, the spleen is prone to venous congestion, thus regulating venous return. These observations suggest a role for the spleen as a window to the splanchnic circulation. The present human study confirms the spleen as a precisely regulated reservoir responding to hemodynamic variations induced by fluid challenge. The large variability of spleen volume in adult humans makes the simple evaluation of spleen size unreliable for hemodynamic assessment. The only parameter validated and described in various contexts for this purpose is the SDRI because it is easier to measure and shows a better defined diastolic phase if compared with other splanchnic arteries (i.e., superior mesenteric artery) [11, 17, 18]. In addition, SDRI provides information on downstream arterial vascular resistance, with the consequent possibility of detecting hemodynamic abnormality related to organ dysfunction before biochemical and macrohemodynamic changes. The upper limit of normality of SDRI has been established to be <0.6 [13]. In critically ill patients SDRI may variably increase, depending on clinical condition and multiple factors (amines, transfusions, respiratory exchanges, mechanical ventilation, etc.). Therefore, percent changes in SDRI can be more clinically informative than its absolute values.

The reduction of arterial lactate concentration observed in nonresponder patients to fluid challenge confirms previous experimental data, suggesting [19] that splanchnic perfusion may improve in response to administered fluid load even when stroke volume changes are considered insignificant. Moreover, our results indicate that direct assessment of splanchnic perfusion with SDRI may be advantageous for monitoring systemic effects of fluid resuscitation, because patients not responding to fluid challenge reduce arterial lactate concentration when SDRI is reduced by >4%. Yet, because there was no difference in lactate clearance across groups, it is possible that the reduction in SDRI in responders was mainly due to changes in venous compliance rather than improved splanchnic arterial perfusion. Indeed, venous return, which is one of the most important determinants of stroke volume, can be modified by changes of either intravascular volume or vascular compliance.

A number of indexes that allow predicting fluid responsiveness have been already proposed [20], but their use is limited by the need of deep sedation and lack of validation during protective mechanical ventilation [21, 22]. On the contrary, SDRI measurements do not require sedation and are feasible also in spontaneously breathing patients. Moreover, SDRI allows estimating splanchnic perfusion even when, as in patients with cardiac surgery, the Frank-Starling mechanism may not be applied due to myocardial dysfunction.

4.1. Incremental Value of SDRI

Our study has a number of strengths. For the first time, it describes the relationship between invasive stroke volume and noninvasive SDRI after fluid administration in the postoperative period. Furthermore, our results provide evidence that improvement in splanchnic circulation occurs in either the presence or absence of stroke volume responsiveness, and SDRI percent reduction is representative of active vasodilation in the splanchnic circulation, as confirmed by its correlation with cLac and SVO2. Therefore, if fluid administration is exclusively based on changes in stroke volume, the opportunity to revert ongoing vasoconstriction and improving splanchnic perfusion might be missed.

4.2. Limitations

Our study has several limitations. First, it was not designed to evaluate the influence of confounding factors, such as age and abnormal arterial stiffness, which may have affected SDRI. Second, in this study only normal saline was used for fluid challenge, which makes the results not directly applicable to conditions where different fluids are infused or in patients receiving nutritional supplementation. Third, our recording period was relatively short because the aim was to study acute physiological responses to fluid challenge, thus possibly missing late physiological responses due to fluid balance restoration or fluid redistribution. Fourth, the study was not powered to assess differences in clinical outcomes. Fifth, inflammation and ensuing increases in splenic blood flow could possibly be a potential confounding factor, especially in cardiac surgery patients due to CEC procedure.

5. Conclusion

Significant changes in splenic Doppler resistive index assessed with Doppler ultrasonography mirror significant hemodynamic variations induced by fluid challenge and allow a valuable and repeatable bedside method to assess splanchnic perfusion regardless of fluid responsiveness.

Data Availability

Data supporting the present manuscript results are stored in a database and will be available if requested.

Conflicts of Interest

The authors declare that they have no conflicts of interest and none of the authors have any financial interest in the manufactures cited in this manuscript.

Authors’ Contributions

Drs. Corradi, Brusasco, and Vezzani contributed to the study design, data collection and analysis, and the writing of the manuscript and are the guarantor of integrity of the work and the paper; Dr. Manca contributed to the data collection and writing of the manuscript; Dr. Santori contributed to the data analysis, statistical revision, and reading and checking of the manuscript; Dr. Tavazzi and Dr. Robba contributed to study design and reading and checking of the manuscript.

References

  1. O. Thom, D. M. Taylor, R. E. Wolfe, P. Myles, H. Krum, and R. Wolfe, “Pilot study of the prevalence, outcomes and detection of occult hypoperfusion in trauma patients,” Emergency Medicine Journal, vol. 27, no. 6, pp. 470–472, 2010. View at Publisher · View at Google Scholar · View at Scopus
  2. S. J. Davies and R. J. T. Wilson, “Preoperative optimization of the high-risk surgical patient,” British Journal of Anaesthesia, vol. 93, no. 1, pp. 121–128, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. E. Bennett-Guerrero, I. Welsby, T. J. Dunn et al., “The use of a postoperative morbidity survey to evaluate patients with prolonged hospitalization after routine, moderate-risk, elective surgery,” Anesthesia & Analgesia, vol. 89, no. 2, pp. 514–519, 1999. View at Publisher · View at Google Scholar · View at Scopus
  4. M. A. Kuzu, A. Tanik, I. T. Kale, A. K. Aşlar, C. Köksoy, and C. Terzi, “Effect of ischemia/reperfusion as a systemic phenomenon on anastomotic healing in the left colon,” World Journal of Surgery, vol. 24, no. 8, pp. 990–994, 2000. View at Publisher · View at Google Scholar · View at Scopus
  5. G. Theodoropoulos, LR. Lloyd, G. Cousins, and D. Pieper, “Intraoperative and early postoperative gastric intramucosal pH predicts morbidity and mortality after major abdominal surgery,” The American Journal of Surgery, vol. 67, pp. 303–308, 2001, discussion 308-309. View at Google Scholar
  6. M. G. Mythen and A. R. Webb, “Intra-operative gut mucosal hypoperfusion is associated with increased post-operative complications and cost,” Intensive Care Medicine, vol. 20, no. 2, pp. 99–104, 1994. View at Publisher · View at Google Scholar · View at Scopus
  7. B. Brandstrup, H. Tønnesen, R. Beier-Holgersen et al., “Effects of intravenous fluid restriction on postoperative complications: comparison of two perioperative fluid regimens: a randomized assessor-blinded multicenter trial,” Annals of Surgery, vol. 238, no. 5, pp. 641–648, 2003. View at Publisher · View at Google Scholar · View at Scopus
  8. G. T. McArdle, D. F. McAuley, A. McKinley, P. Blair, M. Hoper, and D. W. Harkin, “Preliminary results of a prospective randomized trial of restrictive versus standard fluid regime in elective open abdominal aortic aneurysm repair,” Annals of Surgery, vol. 250, no. 1, pp. 28–34, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. W. G. Guntheroth and G. L. Mullins, “Liver and spleen as venous reservoirs,” American Journal of Physiology-Endocrinology and Metabolism, vol. 204, pp. 35–41, 1963. View at Google Scholar · View at Scopus
  10. S. M. Hamza and S. Kaufman, “Role of spleen in integrated control of splanchnic vascular tone: Physiology and pathophysiology,” Canadian Journal of Physiology and Pharmacology, vol. 87, no. 1, pp. 1–7, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. C. Grupp, M. J. Koziolek, M. Wallbach, K. Hoxhold, G. A. Müller, and C. Bramlage, “Difference between renal and splenic resistive index as a novel criterion in Doppler evaluation of renal artery stenosis,” The Journal of Clinical Hypertension, vol. 20, no. 3, pp. 582–588, 2018. View at Publisher · View at Google Scholar · View at Scopus
  12. F. Corradi, C. Brusasco, A. Garlaschi et al., “Splenic doppler resistive index for early detection of occult hemorrhagic shock after polytrauma in adult patients,” Shock, vol. 38, no. 5, pp. 466–473, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. D. Sacerdoti, S. Gaiani, P. Buonamico et al., “Interobserver and interequipment variability of hepatic, splenic, and renal arterial Doppler resistance indices in normal subjects and patients with cirrhosis,” Journal of Hepatology, vol. 27, no. 6, pp. 986–992, 1997. View at Publisher · View at Google Scholar · View at Scopus
  14. D. W. Hosmer, T. Hosmer, S. Le Cessie, and S. Lemeshow, “A comparison of goodness-of-fit tests for the logistic regression model,” Statistics in Medicine, vol. 16, no. 9, pp. 965–980, 1997. View at Publisher · View at Google Scholar · View at Scopus
  15. F. Tablin, J. K. Chamberlain, and L. Weiss, “The microanatomy of the mammalian spleen: mechanism of splenic clearance,” in The Complete Spleen: Structure, Function and Clinical Disorders, pp. 11–21, Humana Press, Totowa, NJ, USA, 2002. View at Publisher · View at Google Scholar
  16. C. V. Greenway and G. E. Lister, “Capacitance effects and blood reservoir function in the splanchnic vascular bed during non‐hypotensive haemorrhage and blood volume expansion in anaesthetized cats,” The Journal of Physiology, vol. 237, no. 2, pp. 279–294, 1974. View at Publisher · View at Google Scholar · View at Scopus
  17. M. Bolognesi, D. Sacerdoti, G. Bombonato et al., “Splenic impedance indices: A useful method to monitor patients after liver transplantation?” Hepatology, vol. 27, no. 3, pp. 674–678, 1998. View at Publisher · View at Google Scholar · View at Scopus
  18. M. Bolognesi, C. Quaglio, G. Bombonato et al., “Splenic doppler impedance indices estimate splenic congestion in patients with right-sided or congestive heart failure,” Ultrasound in Medicine & Biology, vol. 38, no. 1, pp. 21–27, 2012. View at Publisher · View at Google Scholar · View at Scopus
  19. L. E. Brügger, G. Beldi, M. Stalder et al., “Postoperative splanchnic blood flow redistribution in response to fluid challenges in the presence and absence of endotoxemia in a porcine model,” Shock, vol. 37, no. 1, pp. 116–121, 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. X. Monnet and J.-L. Teboul, “Assessment of volume responsiveness during mechanical ventilation: recent advances,” Critical Care, vol. 17, no. 2, article R217, 2013. View at Google Scholar · View at Scopus
  21. X. Monnet, P. E. Marik, and J.-L. Teboul, “Prediction of fluid responsiveness: an update,” Annals of Intensive Care, vol. 6, article 111, 2016. View at Google Scholar · View at Scopus
  22. G. Via, G. Tavazzi, and S. Price, “Ten situations where inferior vena cava ultrasound may fail to accurately predict fluid responsiveness: a physiologically based point of view,” Intensive Care Medicine, vol. 42, no. 7, pp. 1164–1167, 2016. View at Publisher · View at Google Scholar