Cargando…

Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion

BACKGROUND: A peripheral perfusion-targeted resuscitation during early septic shock has shown encouraging results. Capillary refill time, which has a prognostic value, was used. Adding accuracy and predictability on capillary refill time (CRT) measurement, if feasible, would benefit to peripheral pe...

Descripción completa

Detalles Bibliográficos
Autores principales: Jacquet-Lagrèze, Matthias, Bouhamri, Nourredine, Portran, Philippe, Schweizer, Rémi, Baudin, Florent, Lilot, Marc, Fornier, William, Fellahi, Jean-Luc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697974/
https://www.ncbi.nlm.nih.gov/pubmed/31420052
http://dx.doi.org/10.1186/s13054-019-2560-0
_version_ 1783444465096065024
author Jacquet-Lagrèze, Matthias
Bouhamri, Nourredine
Portran, Philippe
Schweizer, Rémi
Baudin, Florent
Lilot, Marc
Fornier, William
Fellahi, Jean-Luc
author_facet Jacquet-Lagrèze, Matthias
Bouhamri, Nourredine
Portran, Philippe
Schweizer, Rémi
Baudin, Florent
Lilot, Marc
Fornier, William
Fellahi, Jean-Luc
author_sort Jacquet-Lagrèze, Matthias
collection PubMed
description BACKGROUND: A peripheral perfusion-targeted resuscitation during early septic shock has shown encouraging results. Capillary refill time, which has a prognostic value, was used. Adding accuracy and predictability on capillary refill time (CRT) measurement, if feasible, would benefit to peripheral perfusion-targeted resuscitation. We assessed whether a reduction of capillary refill time during passive leg raising (ΔCRT-PLR) predicted volume-induced peripheral perfusion improvement defined as a significant decrease of capillary refill time following volume expansion. METHODS: Thirty-four patients with acute circulatory failure were selected. Haemodynamic variables, metabolic variables (PCO(2)gap), and four capillary refill time measurements were recorded before and during a passive leg raising test and after a 500-mL volume expansion over 20 min. Receiver operating characteristic curves were built, and areas under the curves were calculated (ROC(AUC)). Confidence intervals (CI) were performed using a bootstrap analysis. We recorded mortality at day 90. RESULTS: The least significant change in the capillary refill time was 25% [95% CI, 18–30]. We defined CRT responders as patients showing a reduction of at least 25% of capillary refill time after volume expansion. A decrease of 27% in ΔCRT-PLR predicted peripheral perfusion improvement with a sensitivity of 87% [95% CI, 73–100] and a specificity of 100% [95% CI, 74–100]. The ROC(AUC) of ΔCRT-PLR was 0.94 [95% CI, 0.87–1.0]. The ROC(AUC) of baseline capillary refill time was 0.73 [95% CI, 0.54–0.90] and of baseline PCO(2)gap was 0.79 [0.61–0.93]. Capillary refill time was significantly longer in non-survivors than in survivors at day 90. CONCLUSION: ΔCRT-PLR predicted peripheral perfusion response following volume expansion. This simple low-cost and non-invasive diagnostic method could be used in peripheral perfusion-targeted resuscitation protocols. TRIAL REGISTRATION: CPP Lyon Sud-Est II ANSM: 2014-A01034-43 Clinicaltrial.gov, NCT02248025, registered 13th of September 2014 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-019-2560-0) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6697974
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-66979742019-08-19 Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion Jacquet-Lagrèze, Matthias Bouhamri, Nourredine Portran, Philippe Schweizer, Rémi Baudin, Florent Lilot, Marc Fornier, William Fellahi, Jean-Luc Crit Care Research BACKGROUND: A peripheral perfusion-targeted resuscitation during early septic shock has shown encouraging results. Capillary refill time, which has a prognostic value, was used. Adding accuracy and predictability on capillary refill time (CRT) measurement, if feasible, would benefit to peripheral perfusion-targeted resuscitation. We assessed whether a reduction of capillary refill time during passive leg raising (ΔCRT-PLR) predicted volume-induced peripheral perfusion improvement defined as a significant decrease of capillary refill time following volume expansion. METHODS: Thirty-four patients with acute circulatory failure were selected. Haemodynamic variables, metabolic variables (PCO(2)gap), and four capillary refill time measurements were recorded before and during a passive leg raising test and after a 500-mL volume expansion over 20 min. Receiver operating characteristic curves were built, and areas under the curves were calculated (ROC(AUC)). Confidence intervals (CI) were performed using a bootstrap analysis. We recorded mortality at day 90. RESULTS: The least significant change in the capillary refill time was 25% [95% CI, 18–30]. We defined CRT responders as patients showing a reduction of at least 25% of capillary refill time after volume expansion. A decrease of 27% in ΔCRT-PLR predicted peripheral perfusion improvement with a sensitivity of 87% [95% CI, 73–100] and a specificity of 100% [95% CI, 74–100]. The ROC(AUC) of ΔCRT-PLR was 0.94 [95% CI, 0.87–1.0]. The ROC(AUC) of baseline capillary refill time was 0.73 [95% CI, 0.54–0.90] and of baseline PCO(2)gap was 0.79 [0.61–0.93]. Capillary refill time was significantly longer in non-survivors than in survivors at day 90. CONCLUSION: ΔCRT-PLR predicted peripheral perfusion response following volume expansion. This simple low-cost and non-invasive diagnostic method could be used in peripheral perfusion-targeted resuscitation protocols. TRIAL REGISTRATION: CPP Lyon Sud-Est II ANSM: 2014-A01034-43 Clinicaltrial.gov, NCT02248025, registered 13th of September 2014 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13054-019-2560-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-08-16 /pmc/articles/PMC6697974/ /pubmed/31420052 http://dx.doi.org/10.1186/s13054-019-2560-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Jacquet-Lagrèze, Matthias
Bouhamri, Nourredine
Portran, Philippe
Schweizer, Rémi
Baudin, Florent
Lilot, Marc
Fornier, William
Fellahi, Jean-Luc
Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion
title Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion
title_full Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion
title_fullStr Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion
title_full_unstemmed Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion
title_short Capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion
title_sort capillary refill time variation induced by passive leg raising predicts capillary refill time response to volume expansion
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6697974/
https://www.ncbi.nlm.nih.gov/pubmed/31420052
http://dx.doi.org/10.1186/s13054-019-2560-0
work_keys_str_mv AT jacquetlagrezematthias capillaryrefilltimevariationinducedbypassivelegraisingpredictscapillaryrefilltimeresponsetovolumeexpansion
AT bouhamrinourredine capillaryrefilltimevariationinducedbypassivelegraisingpredictscapillaryrefilltimeresponsetovolumeexpansion
AT portranphilippe capillaryrefilltimevariationinducedbypassivelegraisingpredictscapillaryrefilltimeresponsetovolumeexpansion
AT schweizerremi capillaryrefilltimevariationinducedbypassivelegraisingpredictscapillaryrefilltimeresponsetovolumeexpansion
AT baudinflorent capillaryrefilltimevariationinducedbypassivelegraisingpredictscapillaryrefilltimeresponsetovolumeexpansion
AT lilotmarc capillaryrefilltimevariationinducedbypassivelegraisingpredictscapillaryrefilltimeresponsetovolumeexpansion
AT fornierwilliam capillaryrefilltimevariationinducedbypassivelegraisingpredictscapillaryrefilltimeresponsetovolumeexpansion
AT fellahijeanluc capillaryrefilltimevariationinducedbypassivelegraisingpredictscapillaryrefilltimeresponsetovolumeexpansion