Literature DB >> 30008089

The importance of sensor contacting force for predicting fluid responsiveness in children using respiratory variations in pulse oximetry plethysmographic waveform.

Jonghyun Park1, Seungman Yang1, Ji-Hyun Lee2, Jin-Tae Kim2, Hee-Soo Kim2, Hee Chan Kim3,4.   

Abstract

Predicting fluid responsiveness is crucial for adequate fluid management. Respiratory variations in pulse oximetry plethysmographic waveform amplitude (ΔPOP) are used to predict fluid responsiveness, but show inconsistent results when used for children. Contacting force between the measurement site and sensor can affect the ΔPOP value, thereby hindering its reliability as an indicator. We studied the influence of contacting force on the efficacy of ΔPOP as a fluid responsiveness indicator in children. In total, 43 mechanically ventilated children aged 1 month-5 years were studied. After anesthetic induction, mechanical ventilation began with a tidal volume of 10 ml/kg. ΔPOP was calculated for five different contacting force groups (0-0.3N, 0.3-0.6N, 0.6-0.9N, 0.9-1.2N, and 1.2-1.5N) and individually adjusted contacting force. Pulse pressure variation (PPV), and ΔVpeak were recorded before and after volume expansion. Subjects were considered as fluid responders if volume expansion increased the stroke volume index (SVI) by > 15%. Data from 38 patients were finally analyzed. A significant difference between the responders and non-responders was found only in ΔPOPs at 0.9-1.2N contacting force (P = 0.002) and individually adjusted contacting force (P < 0.000), while other contacting force groups did not show significant differences. ΔVpeak predicted a 15% increase in SVI (P = 0.008), whereas PPV did not. The ability of ΔPOP to predict fluid responsiveness depends on the contacting force in mechanically ventilated children. When contacting force is controlled to an adequate degree, the ability of ΔPOP to predict fluid responsiveness can be improved.

Entities:  

Keywords:  Contacting force; Fluid responsiveness; Pulse oximetry plethysmography (POP); Respiratory variations in pulse oximetry plethysmographic waveform (ΔPOP)

Mesh:

Year:  2018        PMID: 30008089     DOI: 10.1007/s10877-018-0183-7

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  3 in total

1.  Vector Angle Analysis of Multimodal Neuromonitoring Data for Continuous Prediction of Delayed Cerebral Ischemia.

Authors:  Murad Megjhani; Miriam Weiss; Soon Bin Kwon; Jenna Ford; Daniel Nametz; Nick Kastenholz; Hart Fogel; Angela Velazquez; David Roh; Sachin Agarwal; E Sander Connolly; Jan Claassen; Gerrit A Schubert; Soojin Park
Journal:  Neurocrit Care       Date:  2022-03-30       Impact factor: 3.532

Review 2.  Fluid responsiveness in the pediatric population.

Authors:  Ji-Hyun Lee; Eun-Hee Kim; Young-Eun Jang; Hee-Soo Kim; Jin-Tae Kim
Journal:  Korean J Anesthesiol       Date:  2019-10-01

Review 3.  Journal of Clinical Monitoring and Computing end of year summary 2019: hemodynamic monitoring and management.

Authors:  Bernd Saugel; Lester A H Critchley; Thomas Kaufmann; Moritz Flick; Karim Kouz; Simon T Vistisen; Thomas W L Scheeren
Journal:  J Clin Monit Comput       Date:  2020-03-14       Impact factor: 2.502

  3 in total

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