• J. Cardiothorac. Vasc. Anesth. · Aug 2022

    Observational Study

    Variation of Left Ventricular Outflow Tract Velocity Time Integral at Different Positive End-Expiratory Pressure Levels Can Predict Fluid Responsiveness in Mechanically Ventilated Critically Ill Patients.

    • Gaosheng Zhou, Hongmin Zhang, Xiaoting Wang, and Dawei Liu.
    • Department of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
    • J. Cardiothorac. Vasc. Anesth. 2022 Aug 1; 36 (8 Pt B): 3101-3108.

    ObjectivesTo explore whether the variation of left ventricular outflow tract velocity time integral (LVOT VTI) between positive end-expiratory pressure (PEEP) 10 cmH2O and PEEP 0 cmH2O can predict fluid responsiveness in mechanically ventilated critically ill patients.DesignAn observational study.SettingA tertiary hospital intensive care unit.ParticipantsA total of 79 critically ill patients who were on controlled mechanical ventilation.InterventionsTransthoracic echocardiography was performed at different PEEP levels and was also performed before and after passive leg raising (PLR).Measurements And Main ResultsThe patients were classified as the fluid responders (n = 45) and the fluid nonresponders (n = 34) according to the LVOT VTI change after PLR (ΔVTIPLR). The difference of LVOT VTI between PEEP 10 cmH2O and PEEP 0 cmH2O (ΔVTIPEEP) was much higher in responders than in nonresponders (17.9% v 2.1%, p < 0.001). The ΔVTIPEEP and ΔVTIPLR were correlated among all patients (r = 0.582, p < 0.001). The receiver operating characteristic curve analysis revealed that the ΔVTIPEEP was a good predictor of fluid responsiveness, with an area under the curve of 0.935 (95% confidence interval: 0.885-0.986, p < 0.001), and the optimal cutoff value was 10.5%.ConclusionsVariation of LVOT VTI between PEEP 10 cmH2O and PEEP 0 cmH2O can be used to predict fluid responsiveness in critically ill patients on controlled mechanical ventilation.Copyright © 2022 Elsevier Inc. All rights reserved.

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