2012
DOI: 10.5582/bst.2012.v6.1.38
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Stroke volume variation and pleth variability index to predict fluid responsiveness during resection of primary retroperitoneal tumors in Hans Chinese

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Cited by 21 publications
(26 citation statements)
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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%
See 1 more Smart Citation
“…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%
“…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%
“…However, it was controversial whether SVV changed when IAP was increased in patients undergoing laparoscopic surgery (7,8). On the other hand, noninvasive plethysmographic variability index (PVI) is a new parameter used for the purpose of fluid responsiveness in patients receiving several kinds of surgeries (9)(10)(11)(12)(13)(14). In patients undergoing laparoscopic surgery, a previous study has suggested that PVI increased significantly after pneumoperitoneum was established (7).…”
Section: Introductionmentioning
confidence: 99%
“…Frequently used static preload variables, including CVP and PCWP, often fail to provide reliable information on volume status and are not capable of predicting a cardiac response to fluid therapy (2,3). By contrast, dynamic variables such as PVI and SVV could reliably predict the response to fluid administration during mechanically ventilation (6,9,11,15). Although both SVV and PVI could reflect the fluid loading, it is known that both are disturbed by several confounder factors such as: arrhythmia, vasomotor tone, vasoactive drugs, pleural effusion, intra-abdominal pressure and so on (16)(17)(18).…”
mentioning
confidence: 99%
“…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%