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3 results

  • 15 - Fluid and Hemodynamic Monitoring in Pulmonary Surgery

  • from Section 3 - Practical Use
    • By
  • Edited by Alexandre Joosten, University of California, Los Angeles, Maxime Cannesson, University of California, Los Angeles, Robert G. Hahn, Karolinska Institutet, Stockholm
  • Book:
    Hemodynamic Monitoring and Fluid Therapy during Surgery
    Published online:
    11 April 2024
    Print publication:
    02 May 2024, pp 168-185

  • Summary

    In spite of numerous studies about fluid management and hemodynamic monitoring in thoracic anesthesia, the heterogeneity of the results has led to the fact that there is still no strong evidence on this topic. The historical recommendation of restricted fluid management has been replaced by normovolemia, but there are still many unsolved problems. Most importantly, not only the amount of the fluid, but also its indication, timing, the addition of a vasopressor and/or inotrope, its dosage, protection of glycocalyx layer and several other parameters play a role in the relationship of fluid strategy and overall outcome. Regarding the postoperative outcome, fluid management in its extensive form should be considered as an important part of a strategy.

    Goal-directed therapy (GDT) is associated with certain limitations, mainly because “open thorax” can affect the cardiopulmonary interaction. Still, it can give objective hints to achieve stable hemodynamics, protection of glycocalyx, prevention of pulmonary edema and avoidance of postoperative organ injury.

  • Chapter 11 - Assessing Intravascular Volume Status and Fluid Responsiveness: A Non-Ultrasound Approach

  • Edited by Andrew B. Leibowitz, Suzan Uysal
  • Book:
    Modern Monitoring in Anesthesiology and Perioperative Care
    Published online:
    28 April 2020
    Print publication:
    07 May 2020, pp 109-116

  • Summary

    Estimation of intravascular volume status by clinical examination and static measurements such as central venous pressure and pulmonary capillary wedge pressure do not predict fluid responsiveness. Current evidence indicates that dynamic monitoring of arterial pressure and derived indices are the most sensitive and specific means of determining fluid responsiveness, especially in mechanically ventilated patients. Several monitors that automate and embellish this approach, a few of which are noninvasive, are now commercially available and they are gradually being incorporated into intensive and perioperative care practice. This chapter reviews the physiologic underpinnings of how and why the arterial pressure waveform can be used to determine fluid responsiveness and gives an overview of the devices incorporating these principles.

  • Comparative study of pressure- and volume-controlled ventilation on pulse pressure variation in a model of hypovolaemia in rabbits

  • E. B. Fonseca, D. A. Otsuki, D. T. Fantoni, F. Bliacheriene, J. O. C. Auler
  • Journal:
    European Journal of Anaesthesiology / Volume 25 / Issue 5 / May 2008
    Published online by Cambridge University Press:
    01 May 2008, pp. 388-394
    Print publication:
    May 2008
  • Background and objective

    Dynamic indices represented by systolic pressure variation and pulse pressure variation have been demonstrated to be more accurate than filling pressures in predicting fluid responsiveness. However, the literature is scarce concerning the impact of different ventilatory modes on these indices. We hypothesized that systolic pressure variation or pulse pressure variation could be affected differently by volume-controlled ventilation and pressure-controlled ventilation in an experimental model, during normovolaemia and hypovolaemia.

    Method

    Thirty-two anaesthetized rabbits were randomly allocated into four groups according to ventilatory modality and volaemic status where G1-ConPCV was the pressure-controlled ventilation control group, G2-HemPCV was associated with haemorrhage, G3-ConVCV was the volume-controlled ventilation control group and G4-HemVCV was associated with haemorrhage. In the haemorrhage groups, blood was removed in two stages: 15% of the estimated blood volume withdrawal at M1, and, 30 min later, an additional 15% at M2. Data were submitted to analysis of variance for repeated measures; a value of P < 0.05 was considered to be statistically significant.

    Results

    At M0 (baseline), no significant differences were observed among groups. At M1, dynamic parameters differed significantly among the control and hypovolaemic groups (P < 0.05) but not between ventilation modes. However, when 30% of the estimated blood volume was removed (M2), dynamic parameters became significantly higher in animals under volume-controlled ventilation when compared with those under pressure-controlled ventilation.

    Conclusions

    Under normovolaemia and moderate haemorrhage, dynamic parameters were not influenced by either ventilatory modalities. However, in the second stage of haemorrhage (30%), animals in volume-controlled ventilation presented higher values of systolic pressure variation and pulse pressure variation when compared with those submitted to pressure-controlled ventilation.