Abstract

ObjectiveAssessment of fluid responsiveness is problematic in intensive care unit patients. Lung recruitment maneuvers (LRM) can be used as a functional test to predict fluid responsiveness. We propose a new test to predict fluid responsiveness in mechanically ventilated patients by analyzing the variations in central venous pressure (CVP) and systemic arterial parameters during a prolonged sigh breath LRM without the use of a cardiac output measuring device.DesignProspective observational cohort study.SettingIntensive Care Unit, Saint-Etienne University Central Hospital.PatientsPatients under mechanical ventilation, equipped with invasive arterial blood pressure, CVP, pulse contour analysis (PICCO™), requiring volume expansion, with no right ventricular dysfunction.Interventions.None.Measurements and main resultsCVP, systemic arterial parameters and stroke volume (SV) were recorded during prolonged LRM followed by a 500 mL fluid expansion to asses fluid responsiveness. 25 patients were screened and 18 patients analyzed. 9 patients were responders to volume expansion and 9 were not. Evaluation of hemodynamic parameters suggested the use of a linear regression model. Slopes for systolic arterial pressure, pulse pressure (PP), CVP and SV were all significantly different between responders and non-responders during the pressure increase phase of LRM (STEP-UP) (p = 0.022, p = 0.014, p = 0.006 and p = 0.038, respectively). PP and CVP slopes during STEP-UP were strongly predictive of fluid responsiveness with an AUC of 0.926 (95% CI, 0.78 to 1.00), sensitivity = 100%, specificity = 89% and an AUC = 0.901 (95% CI, 0.76 to 1.00), sensibility = 78%, specificity = 100%, respectively. Combining sensitivity of PP and specificity of CVP, prediction of fluid responsiveness can be achieved with 100% sensitivity and 100% specificity (AUC = 0.96; 95% CI, 0.90 to 1.00). One patient showed inconclusive values using the grey zone approach (5.5%).ConclusionsIn patients under mechanical ventilation with no right heart dysfunction, the association of PP and CVP slope analysis during a prolonged sigh breath LRM seems to offer a very promising method for prediction of fluid responsiveness without the use and associated cost of a cardiac output measurement device.Trial registrationNCT04304521, IRBN902018/CHUSTE. Registered 11 March 2020, Fluid responsiveness predicted by a stepwise PEEP elevation recruitment maneuver in mechanically ventilated patients (STEP-PEEP)

Highlights

  • Hemodynamic and fluid optimization during the perioperative period has been shown to reduce postoperative morbidity [1]

  • Exclusion criteria were: lung recruitment maneuvers (LRM) not completed, absence of fluid expansion performed after LRM and patient decline for enrollment after reawakening

  • Two patients were excluded due to absence of fluid expansion performed after LRM

Read more

Summary

Introduction

Hemodynamic and fluid optimization during the perioperative period has been shown to reduce postoperative morbidity [1]. The assessment of preload and determination of whether the patient will be fluid responsive has proved challenging Static preload indices such as central venous pressure are not sufficient to assess fluid responsiveness [2], whereas dynamic preload indices such as pulse pressure variation (PPV) and stroke volume (SV) variation have been used successfully [3]. Monitoring stroke volume during LRM to assess fluid responsiveness is costly, and cardiac output devices may not be reliable [16] In this context, central venous pressure (CVP) or systemic arterial monitoring represents a cost effective and readily available alternative for predicting fluid responsiveness during major surgery

Methods
Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.