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  • Commentary
  • Open Access

Improving surgical outcomes: it is the destination not the journey

Critical Care201014:177

https://doi.org/10.1186/cc9082

  • Published:

Abstract

Studies have demonstrated that optimising the circulating volume reduces morbidity after major surgery. This optimisation is usually achieved through maximisation of the stroke volume guided by oesophageal Doppler. New monitoring parameters of preload responsiveness using information from the arterial trace are now showing some promise in achieving the same goal. The present commentary examines these new parameters with respect to improving outcomes for the high-risk surgical patient.

Keywords

  • Stroke Volume
  • Pulse Pressure Variation
  • Fluid Bolus
  • Predict Fluid Responsiveness
  • Pulse Contour Analysis

In the previous issue of Critical Care, Benes and colleagues have demonstrated improvements in outcomes for patients undergoing major intra-abdominal gastrointestinal or vascular surgery by giving additional fluid boluses in order to maintain a variation in stroke volume (SVV) <10%, rather than targeting the stroke volume itself [1].

Targeting elevated oxygen delivery or stroke volume improves outcome after high-risk surgery [2, 3]. Protocols used in these studies have required either pulmonary artery catheterisation or the insertion of an oesophageal Doppler monitoring (ODM) probe. The pulmonary artery catheter is highly invasive, whilst the use of ODM is restricted to the anaesthetised or heavily sedated patient. Despite these limitations, ODM is considered a minimum standard of care for high-risk surgical patients [4].

In many respects, Benes group's findings echo those of ODM optimisation studies, in as much as the intervention group received 400 ml more colloid than the control group, and the length of stay and complications were both reduced. What is different, however, is the monitoring parameter used as the targeted endpoint. SVV is measured by pulse contour analysis (PCA), and is one of a group of parameters that estimate preload responsiveness - the other parameters being pulse pressure variation and systolic pressure variation. Benes and colleagues' study is now the third study showing that targeting preload responsiveness leads to improved outcomes after major surgery [5, 6].

We are all familiar with SVV whether we realise it or not. The swing on an arterial line trace in the operating theatre or in the intensive care unit alerts us to the possibility that a patient is hypovolaemic and may respond to a fluid bolus. SVV effectively automates this subjective observation. The effect of the increased intrathoracic pressure of mechanical ventilation is to decrease venous return to the right side of the heart, reducing right ventricular filling and output, leading to a reduced left ventricular stroke volume. This continuous challenge provided by mechanical ventilation allows estimation of the adequacy of preload, by monitoring changes in the stroke volume over a respiratory cycle, and the degree of variation seen in either the stroke volume or the pulse pressure indicates whether the subject would be responsive to fluid bolus by improving their stroke volume [79].

The benefits of a PCA system such as the Vigileoâ„¢, LiDCORapidâ„¢ or PiCCOâ„¢ lie with the ease of use - particularly in higher-risk patients, in whom invasive arterial monitoring is routine. In contrast to the ODM, a PCA technique can be used comfortably in awake patients allowing stroke volume optimisation in the postoperative environment, which has also shown to be of benefit [10]. These PCA systems are little affected by surgical movement or diathermy, and provide a simple, consistent, and defined end point as to whether fluid is required based on SVV being >10% or <10%.

Preload responsiveness parameters are not without their limitations: they require constant tidal volumes of around 7 to 8 ml/kg and sinus rhythm; they are subject to problems with damping of the arterial trace; and up until now they had limited validation in terms of improved clinical outcome.

With the use of SVV in goal-directed therapy, Benes and colleagues have shown a significant reduction in postoperative morbidity [1], which in the control group was similar to other studies investigating high-risk patients. A relatively homogeneous study group has been investigated; and although single centre, the methodology is robust. This study has once again demonstrated that so-called standard haemodynamic parameters are not suitable targets to direct fluid therapy. It would be interesting to know the timing of fluid administration, as this has also been suggested as a factor in the improved outcomes [11]. Patients with dysrythmias, excluded from the benefits of preload responsiveness, are likely to be a true high-risk group, and it would be interesting to know whether stroke volume optimisation using PCA could be a useful alternative in this group. Studies are also required to determine optimal values of SVV or systolic pressure variation for predicting fluid responsiveness as determined by a significant rise in stroke volume measured by ODM, the current standard.

In summary, getting the preload right remains the cornerstone of goal-directed fluid therapy, and many of us believe it should be a minimum standard of care for the high-risk surgical patient. The range of tools to do the job is expanding to suit all tastes - so although the destination remains the same, it now seems the journey can be made on different paths.

Abbreviations

ODM: 

oesophageal Doppler monitoring

PCA: 

pulse contour analysis

SVV: 

stroke volume variation.

Declarations

Authors’ Affiliations

(1)
Department of Anaesthesia, York Teaching Hospital, Wigginton Road, York, YO31 8HE, UK

References

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Copyright

© BioMed Central Ltd 2010

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