Literature DB >> 21525016

Predicting fluid responsiveness in mechanically ventilated children under general anaesthesia using dynamic parameters and transthoracic echocardiography.

E Pereira de Souza Neto1, S Grousson, F Duflo, C Ducreux, H Joly, J Convert, C Mottolese, F Dailler, M Cannesson.   

Abstract

BACKGROUND: Dynamic variables are accurate predictors of fluid responsiveness in adults undergoing mechanical ventilation. They can be determined using respiratory variation in aortic flow peak velocity (▵Vpeak), arterial pulse pressure [▵PP and pulse pressure variation (PPV)], or plethysmographic waveform amplitude [▵POP and pleth variability index (PVI)]. These indices have not been validated in children. We studied the ability of these variables to predict fluid responsiveness in mechanically ventilated children.
METHODS: All results are expressed as median [median absolute deviation (MAD)]. Thirty mechanically ventilated children were studied after undergoing general anaesthesia. Mechanical ventilation was maintained with a tidal volume of 10 ml kg(-1) of body weight. ▵PP, PPV, ▵POP, PVI, ▵Vpeak, and aortic velocity-time integral were recorded before and after volume expansion (VE). Patients were considered to be responders to VE when the aortic velocity-time integral increased more than 15% after VE.
RESULTS: VE induced significant changes in ▵PP [13 (MAD 4) to 9 (5)%], PPV [15 (5) to 9 (5)%], ▵POP [15 (10) to 10 (6)%], PVI [13 (6) to 8 (5)%], and ▵Vpeak [16 (9) to 8 (3)%] (P<0.05 for all). Differences in ▵PP, ▵POP, PPV, and PVI did not reach statistical significance. Only ▵Vpeak was significantly different between responders (R) and non-responders (NR) to VE [22 (3) vs 7 (1)%, respectively; P<0.001]. The threshold ▵Vpeak value of 10% allowed discrimination between R and NR.
CONCLUSIONS: In this study, ▵Vpeak was the most appropriate variable to predict fluid responsiveness.

Entities:  

Mesh:

Year:  2011        PMID: 21525016     DOI: 10.1093/bja/aer090

Source DB:  PubMed          Journal:  Br J Anaesth        ISSN: 0007-0912            Impact factor:   9.166


  31 in total

1.  Pulse oximeter plethysmograph variation and its relationship to the arterial waveform in mechanically ventilated children.

Authors:  J R Chandler; E Cooke; C Petersen; W Karlen; N Froese; J Lim; J M Ansermino
Journal:  J Clin Monit Comput       Date:  2012-03-10       Impact factor: 2.502

2.  Using non invasive dynamic parameters of fluid responsiveness in children: there is still much to learn.

Authors:  Elena Chung; Maxime Cannesson
Journal:  J Clin Monit Comput       Date:  2012-03-20       Impact factor: 2.502

3.  Prediction of volume responsiveness using pleth variability index in patients undergoing cardiac surgery after cardiopulmonary bypass.

Authors:  Sebastian Haas; Constantin Trepte; Martin Hinteregger; Rebecca Fahje; Bjoern Sill; Lena Herich; Daniel A Reuter
Journal:  J Anesth       Date:  2012-05-16       Impact factor: 2.078

4.  Predicting Fluid Responsiveness in Children Undergoing Cardiac Surgery After Cardiopulmonary Bypass.

Authors:  Isabella Favia; Stefano Romagnoli; Luca Di Chiara; Zaccaria Ricci
Journal:  Pediatr Cardiol       Date:  2017-02-11       Impact factor: 1.655

5.  The ability of the Vigileo-FloTrac system to measure cardiac output and track cardiac output changes during one-lung ventilation.

Authors:  Koichi Suehiro; Katsuaki Tanaka; Tokuhiro Yamada; Tadashi Matsuura; Takashi Mori; Tomoharu Funao; Kiyonobu Nishikawa
Journal:  J Clin Monit Comput       Date:  2014-09-12       Impact factor: 2.502

Review 6.  Functional hemodynamic monitoring.

Authors:  Michael R Pinsky
Journal:  Crit Care Clin       Date:  2015-01       Impact factor: 3.598

7.  Respiratory variation in peak aortic velocity accurately predicts fluid responsiveness in children undergoing neurosurgery under general anesthesia.

Authors:  Kavita G Morparia; Srijaya K Reddy; Laura J Olivieri; Michael C Spaeder; Jennifer J Schuette
Journal:  J Clin Monit Comput       Date:  2017-03-16       Impact factor: 2.502

Review 8.  Applied physiology at the bedside to drive resuscitation algorithms.

Authors:  Andre L Holder; Michael R Pinsky
Journal:  J Cardiothorac Vasc Anesth       Date:  2014-12       Impact factor: 2.628

9.  The ability of stroke volume variation measured by a noninvasive cardiac output monitor to predict fluid responsiveness in mechanically ventilated children.

Authors:  Ji Yeon Lee; Ji Young Kim; Chang Hyu Choi; Hong Soon Kim; Kyung Cheon Lee; Hyun Jeong Kwak
Journal:  Pediatr Cardiol       Date:  2013-08-21       Impact factor: 1.655

10.  Evaluation of fluid responsiveness: is photoplethysmography a noninvasive alternative?

Authors:  Lars Prag Antonsen; Knut Arvid Kirkebøen
Journal:  Anesthesiol Res Pract       Date:  2012-02-28
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.