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Pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness

AIM: Although pulse pressure variation is a good predictor of fluid responsiveness, its measurement is invasive. Therefore, a technically simple, non‐invasive method is needed for evaluating circulatory status to prevent fluid loading and optimize hemodynamic status. We focused in the pulse‐wave tra...

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Autor principal: Yamashita, Koichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985177/
https://www.ncbi.nlm.nih.gov/pubmed/32002187
http://dx.doi.org/10.1002/ams2.484
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author Yamashita, Koichi
author_facet Yamashita, Koichi
author_sort Yamashita, Koichi
collection PubMed
description AIM: Although pulse pressure variation is a good predictor of fluid responsiveness, its measurement is invasive. Therefore, a technically simple, non‐invasive method is needed for evaluating circulatory status to prevent fluid loading and optimize hemodynamic status. We focused in the pulse‐wave transit time (PWTT) defined as the time interval between electrocardiogram R wave to plethysmograph upstroke, which has been recently introduced to non‐invasively assess cardiovascular response. In the present study, we evaluated the efficacy of pulse‐wave transit time (PWTT) with ventilator‐induced variation (PWTTV) in predicting fluid responsiveness. METHODS: We evaluated six domestic pigs weighing 46.0 ± 3.5 kg. After anesthesia induction, electrocardiogram, femoral arterial blood pressure, plethysmograph on the tail, and carotid artery blood flow were monitored and hemorrhage was induced by withdrawing 20 mL/kg blood over 20 min; 5 mL/kg blood volume was then autotransfused over 10 min. Then PWTTV and pulse pressure variation were measured at tidal volumes of 6 and 12 mL/kg. RESULTS: Area under the receiver operating curve values for the prediction of a >10% change in carotid artery blood flow were 0.979 for pulse pressure variation and 0.993 for PWTTV at a tidal volume of 6 mL/kg and 0.979 and 0.979, respectively, at a tidal volume of 12 mL/kg (all P < 0.0001). CONCLUSIONS: Measured non‐invasively, PWTTV showed similar utility to pulse pressure variation in predicting >10% changes in carotid artery blood flow induced by autotransfusion.
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spelling pubmed-69851772020-01-30 Pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness Yamashita, Koichi Acute Med Surg Original Articles AIM: Although pulse pressure variation is a good predictor of fluid responsiveness, its measurement is invasive. Therefore, a technically simple, non‐invasive method is needed for evaluating circulatory status to prevent fluid loading and optimize hemodynamic status. We focused in the pulse‐wave transit time (PWTT) defined as the time interval between electrocardiogram R wave to plethysmograph upstroke, which has been recently introduced to non‐invasively assess cardiovascular response. In the present study, we evaluated the efficacy of pulse‐wave transit time (PWTT) with ventilator‐induced variation (PWTTV) in predicting fluid responsiveness. METHODS: We evaluated six domestic pigs weighing 46.0 ± 3.5 kg. After anesthesia induction, electrocardiogram, femoral arterial blood pressure, plethysmograph on the tail, and carotid artery blood flow were monitored and hemorrhage was induced by withdrawing 20 mL/kg blood over 20 min; 5 mL/kg blood volume was then autotransfused over 10 min. Then PWTTV and pulse pressure variation were measured at tidal volumes of 6 and 12 mL/kg. RESULTS: Area under the receiver operating curve values for the prediction of a >10% change in carotid artery blood flow were 0.979 for pulse pressure variation and 0.993 for PWTTV at a tidal volume of 6 mL/kg and 0.979 and 0.979, respectively, at a tidal volume of 12 mL/kg (all P < 0.0001). CONCLUSIONS: Measured non‐invasively, PWTTV showed similar utility to pulse pressure variation in predicting >10% changes in carotid artery blood flow induced by autotransfusion. John Wiley and Sons Inc. 2020-01-27 /pmc/articles/PMC6985177/ /pubmed/32002187 http://dx.doi.org/10.1002/ams2.484 Text en © 2020 The Authors. Acute Medicine & Surgery published by John Wiley & Sons Australia, Ltd on behalf of Japanese Association for Acute Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Yamashita, Koichi
Pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness
title Pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness
title_full Pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness
title_fullStr Pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness
title_full_unstemmed Pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness
title_short Pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness
title_sort pulse‐wave transit time with ventilator‐induced variation for the prediction of fluid responsiveness
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985177/
https://www.ncbi.nlm.nih.gov/pubmed/32002187
http://dx.doi.org/10.1002/ams2.484
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