The Ability of Stroke Volume Variations Obtained with Vigileo/FloTrac System to Monitor Fluid Responsiveness in Mechanically Ventilated Patients

Cannesson, Maxime; Musard, Henri; Desebbe, Olivier; Boucau, Cécile; Simon, Rémi; Hénaine, Roland; Lehot, Jean‐Jacques

doi:10.1213/ane.0b013e318192a36b

Cited by 196 publications

(112 citation statements)

References 23 publications

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“…Diagonal segments are produced by ties. (3,4,7). Only one study evaluated the ability of SVV to predict fluid responsiveness in patients undergoing OLV, and they found that SVV measured by the Vigileo-FloTrac system was able to predict fluid responsiveness in patients undergoing surgery with OLV with acceptable levels of sensitivity and specificity.…”

Section: Fluid Responsiveness To Fluid Therapymentioning

confidence: 99%

“…In addition, the venous return could be influenced by the mechanical ventilation under chest opening due to the decrease in chest compliance and airway pressure. Previous studies have showed that SVV could predict fluid responsiveness in patients undergoing OLV only when tidal volume is at least 8 mL/kg (13), so in this study tidal volume was set as 8mL/kg, which had been used previously in two-lung ventilation (3,4) or one-lung ventilation (13).…”

Section: Fluid Responsiveness To Fluid Therapymentioning

confidence: 99%

“…Stroke volume variation (SVV) is a parameter derived from changes in SV that is dependent on mechanical ventilation and has been found useful for predicting volume response in mechanically ventilated patients during perioperative phase (3,4). Only one study reported that SVV could predict fluid during OLV with PEEP in patients undergoing thoracoscopic lobectomy by using Vigileo system (5).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Stroke volume variation fail to predict fluid responsiveness in patients undergoing pulmonary lobectomy with one-lung ventilation using thoracotomy

Fu¹,

Zhao²,

Mi³

et al. 2014

BST

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Section: Fluid Responsiveness To Fluid Therapymentioning

confidence: 99%

Section: Fluid Responsiveness To Fluid Therapymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stroke volume variation fail to predict fluid responsiveness in patients undergoing pulmonary lobectomy with one-lung ventilation using thoracotomy

Fu¹,

Zhao²,

Mi³

et al. 2014

BST

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“…From this algorithm, cardiac output (CO) can be calculated, and the percentage of respiratory fluctuations in SV (stroke volume variation: SVV) can be used as an index of fluid responsiveness [7] [8]. Measurement with this system is relatively less invasive and easy to use.…”

Section: Introductionmentioning

confidence: 99%

Simplified Intraoperative Goal-Directed Therapy Using the FloTrac/Vigileo System: An Analysis of Its Usefulness and Safety

Ito¹,

Ito²,

Ando³

et al. 2017

OJAnes

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Purpose: We investigated whether the simplified intraoperative Goal-Directed Therapy (GDT) could improve the factors affecting medical costs, and contribute in standardizing intraoperative fluid management. Methods: The enrolled patients underwent esophagectomy, pancreatoduodenectomy, or aortic stent grafting in 2012, and between March 2013 and October 2014. We conducted a comparison study on the effects of GDT, between the before-GDT historical control group (n = 100) and GDT group (n = 100). The hemodynamic indices used for control group patients were conventional: Blood pressure, heart rate, and urine output. For GDT group, additionally, we used stroke volume variation (SVV) and stroke volume index (SVI). The primary outcomes were the length of intensive care unit (ICU) stay and hospital stay (LOS). Regression analysis was used to identify factors affecting LOS. The secondary outcomes were the albumin use, the fluid amount administered, and the variation in the fluid administration rate. Results: The control and GDT groups comprised 96 and 99 patients, respectively. The patient characteristics were similar. The length of ICU stay was significantly shorter (2.1 ± 2.1 days vs. 2.8 ± 1.9 days, P = 0.0009) and LOS was shorter but without statistical significance (24.5 ± 17.7 days vs. 27.7 ± 20.1 days, P = 0.21) in the GDT group than in the control group. The fluid amount administered and the presence/ absence of albumin use were factors affecting LOS. The variation of the fluid administration rate was significantly lower in the GDT group. Conclusion: The simplified GDT may contribute to the improvement of medical economics and standardize the fluid management.

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“…In general, the performance of dynamic indicators including SVV is reportedly better than that of static indicators [1][2][3]. For example, SVV can predict fluid responsiveness with both high sensitivity and specificity [4][5][6]. However, since special catheters and expensive machines, such as the FloTrac/Vigileo Monitor® system, must be used to measure SVV, not all facilities can perform this measurement.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous peripheral and central venous pressure monitoring for evaluating cardiac preload in critically ill patients

Yanagisawa¹,

Takazawa²,

Kanamoto³

et al. 2017

Biomed Res Clin Prac

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Purpose: Arterial waveform-derived dynamic variables, such as stroke volume variation (SVV), are useful for predicting fluid responsiveness in perioperative patients. Since specific catheters and machines must be used for measuring SVV, we tried to find a novel indicator that correlates with SVV values and can be calculated using usual monitoring equipment. Methods:A total of 50 patients admitted to the ICU, both intubated (n=25) and non-intubated (n=25), were enrolled in this prospective observational study. Intubated patients received mechanical ventilation under pressure controlled ventilation (PCV) or continuous positive airway pressure /pressure support ventilation (CPAP/PSV) modes. SVV values were used for assessment of cardiac preload. Besides SVV, central venous pressure (CVP) and peripheral venous pressure (PVP) were simultaneously recorded. In each patient, 10 data pairs were randomly acquired at 1 hour or longer intervals.Results: Regression analysis showed a slightly weaker but substantial association between PVP and CVP (Pearson's correlation coefficient r=0.91, p<0.0001). However, we found that PVP-CVP difference values correlated with SVV (r=0.64, p<0.0001). Moreover, we were able to predict whether SVV was normal (≤ 10%) or high (>10%) from PVP-CVP difference values with high accuracy. This prediction was not affected by the respiratory mode. Conclusion:The difference between PVP and CVP might serve as a novel indicator of the adequacy of cardiac preload that does not require specific equipment, such as the FloTrac/Vigileo Monitor®.

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The Ability of Stroke Volume Variations Obtained with Vigileo/FloTrac System to Monitor Fluid Responsiveness in Mechanically Ventilated Patients

Abstract: SVV predicts fluid responsiveness with an acceptable sensitivity and specificity and is also a potential surrogate for continuous monitoring of DeltaPP.

Cited by 196 publications

References 23 publications

Stroke volume variation fail to predict fluid responsiveness in patients undergoing pulmonary lobectomy with one-lung ventilation using thoracotomy

Stroke volume variation fail to predict fluid responsiveness in patients undergoing pulmonary lobectomy with one-lung ventilation using thoracotomy

Simplified Intraoperative Goal-Directed Therapy Using the FloTrac/Vigileo System: An Analysis of Its Usefulness and Safety

Simultaneous peripheral and central venous pressure monitoring for evaluating cardiac preload in critically ill patients

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