Literature DB >> 22934857

Stroke volume variation as a predictor of fluid responsiveness in patients undergoing airway pressure release ventilation.

K Suehiro1, H Rinka, J Ishikawa, A Fuke, H Arimoto, T Miyaichi.   

Abstract

We investigated the effectiveness of stroke volume variation (SVV) shown by the Vigileo-FloTrac™ system (Edwards Lifesciences, Irvine, CA) to predict fluid responsiveness in patients undergoing airway pressure release ventilation (APRV). All 80 patients mechanically ventilated in the intensive care unit of our hospital from April to November 2010 were included in this study. After starting APRV, Ringer's lactate solution was administered for 30 minutes. Haemodynamic variables including heart rate, mean arterial pressure, cardiac index (CI), stroke volume index (SVI) and SVV were measured before and after volume loading. SVV before volume loading was significantly correlated with absolute change in SVV (ΔSVV) and percentage change in stroke volume index (ΔSVI) after volume loading (ΔSVV: P<0.05, r2=0.534; ΔSVI: P<0.05, r2=0.217). Of the 80 patients, 38 (47.5%) were responders to intravascular volume expansion (increase in CI≥15%) and 42 (52.5%) were non-responders (increase in CI<15%). Receiver operating characteristic (ROC) curves were generated for SVV and central venous pressure by varying the discriminating threshold of the variable and areas under the ROC curves were calculated. The areas under the ROC curves were 0.793 for SVV (95% confidence interval: 0.709-0.877) and 0.442 for central venous pressure (95% confidence interval: 0.336-0.549), which were significantly different (P<0.05). The optimal threshold value of SVV to discriminate between responders and nonresponders was 14% (sensitivity: 78.9%; specificity: 64.3%). We found that SVV was able to predict fluid responsiveness in patients undergoing APRV with acceptable levels of sensitivity and specificity.

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Year:  2012        PMID: 22934857     DOI: 10.1177/0310057X1204000503

Source DB:  PubMed          Journal:  Anaesth Intensive Care        ISSN: 0310-057X            Impact factor:   1.669


  8 in total

1.  Hemodynamic monitoring and management in high-risk surgery: a survey among Japanese anesthesiologists.

Authors:  Koichi Suehiro; Katsuaki Tanaka; Akira Mukai; Alexandre Joosten; Olivier Desebbe; Brenton Alexander; Maxime Cannesson; Kiyonobu Nishikawa
Journal:  J Anesth       Date:  2016-03-09       Impact factor: 2.078

2.  Update on the assessment of fluid responsiveness.

Authors:  Koichi Suehiro
Journal:  J Anesth       Date:  2020-01-07       Impact factor: 2.078

3.  Pre-anesthetic stroke volume variation can predict cardiac output decrease and hypotension during induction of general anesthesia.

Authors:  Takashi Juri; Koichi Suehiro; Sayaka Tsujimoto; Shigemune Kuwata; Akira Mukai; Katsuaki Tanaka; Tokuhiro Yamada; Takashi Mori; Kiyonobu Nishikawa
Journal:  J Clin Monit Comput       Date:  2017-06-24       Impact factor: 2.502

Review 4.  Fluid challenge in critically ill patients receiving haemodynamic monitoring: a systematic review and comparison of two decades.

Authors:  Antonio Messina; Lorenzo Calabrò; Luca Pugliese; Aulona Lulja; Alexandra Sopuch; Daniela Rosalba; Emanuela Morenghi; Glenn Hernandez; Xavier Monnet; Maurizio Cecconi
Journal:  Crit Care       Date:  2022-06-21       Impact factor: 19.334

Review 5.  Where Are We Heading With Fluid Responsiveness and Septic Shock?

Authors:  Mohammed Megri; Emily Fridenmaker; Margaret Disselkamp
Journal:  Cureus       Date:  2022-04-03

Review 6.  What is the impact of the fluid challenge technique on diagnosis of fluid responsiveness? A systematic review and meta-analysis.

Authors:  Laura Toscani; Hollmann D Aya; Dimitra Antonakaki; Davide Bastoni; Ximena Watson; Nish Arulkumaran; Andrew Rhodes; Maurizio Cecconi
Journal:  Crit Care       Date:  2017-08-04       Impact factor: 9.097

7.  Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position.

Authors:  Ryota Watanabe; Koichi Suehiro; Akira Mukai; Katsuaki Tanaka; Tokuhiro Yamada; Takashi Mori; Kiyonobu Nishikawa
Journal:  BMC Anesthesiol       Date:  2021-12-02       Impact factor: 2.217

8.  Dynamic Indices Fail to Predict Fluid Responsiveness in Patients Undergoing One-Lung Ventilation for Thoracoscopic Surgery.

Authors:  Kwan-Hoon Choi; Jae-Kwang Shim; Dong-Wook Kim; Chun-Sung Byun; Ji-Hyoung Park
Journal:  J Clin Med       Date:  2021-05-27       Impact factor: 4.241

  8 in total

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