Non-invasive measurement of digital plethysmographic variability index to predict fluid responsiveness in mechanically ventilated children: A systematic review and meta-analysis of diagnostic test accuracy studies
To date, the use of the plethysmographic variability index (PVI) has not been recommended to guide fluid management in the paediatric surgical population. This systematic review and meta-analysis aimed to summarise available evidence about the diagnostic accuracy of digital PVI to predict fluid resp...
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Veröffentlicht in: | Anaesthesia critical care & pain medicine 2023-06, Vol.42 (3), p.101194-101194, Article 101194 |
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creator | Desgranges, François-Pierrick Bouvet, Lionel Pereira de Souza Neto, Edmundo Evain, Jean-Noël Terrisse, Hugo Joosten, Alexandre Desebbe, Olivier |
description | To date, the use of the plethysmographic variability index (PVI) has not been recommended to guide fluid management in the paediatric surgical population. This systematic review and meta-analysis aimed to summarise available evidence about the diagnostic accuracy of digital PVI to predict fluid responsiveness in mechanically ventilated children.
We searched the Pubmed, Embase and Web of Science databases, from inception to January 2022, to identify all relevant studies that investigated the ability of the PVI recorded at the finger to predict fluid responsiveness in mechanically ventilated children. Using a random-effects model, we calculated pooled values of diagnostic odds ratio, sensitivity, and specificity of PVI to predict the response to fluid challenge.
Eight studies met the inclusion criteria with a total of 283 patients and 360 fluid challenges. All the studies were carried out in a surgical setting. The area under the summary receiver operating characteristic curve of PVI to predict fluid responsiveness was 0.82. The pooled sensitivity, specificity, and diagnostic odds ratio of PVI for the overall population were 72.4% [95% CI: 65.3–78.7], 65.9% [58.5–72.8], and 9.26 [5.31–16.16], respectively.
Our results suggest that digital PVI is a reliable predictor for fluid responsiveness in mechanically ventilated children in the perioperative setting. The diagnostic performance of digital PVI reported in our work for discrimination between responders and non-responders to the fluid challenge was however not as high as previously reported in the adult population. |
doi_str_mv | 10.1016/j.accpm.2023.101194 |
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We searched the Pubmed, Embase and Web of Science databases, from inception to January 2022, to identify all relevant studies that investigated the ability of the PVI recorded at the finger to predict fluid responsiveness in mechanically ventilated children. Using a random-effects model, we calculated pooled values of diagnostic odds ratio, sensitivity, and specificity of PVI to predict the response to fluid challenge.
Eight studies met the inclusion criteria with a total of 283 patients and 360 fluid challenges. All the studies were carried out in a surgical setting. The area under the summary receiver operating characteristic curve of PVI to predict fluid responsiveness was 0.82. The pooled sensitivity, specificity, and diagnostic odds ratio of PVI for the overall population were 72.4% [95% CI: 65.3–78.7], 65.9% [58.5–72.8], and 9.26 [5.31–16.16], respectively.
Our results suggest that digital PVI is a reliable predictor for fluid responsiveness in mechanically ventilated children in the perioperative setting. The diagnostic performance of digital PVI reported in our work for discrimination between responders and non-responders to the fluid challenge was however not as high as previously reported in the adult population.</description><identifier>ISSN: 2352-5568</identifier><identifier>EISSN: 2352-5568</identifier><identifier>DOI: 10.1016/j.accpm.2023.101194</identifier><identifier>PMID: 36640908</identifier><language>eng</language><publisher>France: Elsevier Masson SAS</publisher><subject>Adult ; Child ; Children ; Diagnostic Tests, Routine ; Fluid responsiveness ; Fluid Therapy - methods ; Hemodynamics - physiology ; Human health and pathology ; Humans ; Intraoperative monitoring ; Life Sciences ; Meta-analysis ; Monitoring, Intraoperative - methods ; Plethysmographic variability index ; Respiration, Artificial - methods ; ROC Curve</subject><ispartof>Anaesthesia critical care & pain medicine, 2023-06, Vol.42 (3), p.101194-101194, Article 101194</ispartof><rights>2023 Société française d'anesthésie et de réanimation (Sfar)</rights><rights>Copyright © 2023 Société française d'anesthésie et de réanimation (Sfar). Published by Elsevier Masson SAS. All rights reserved.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-80cfbc5ac8dc52547e350de74da10950102ab981a954419e73e98883375c7fb53</citedby><cites>FETCH-LOGICAL-c393t-80cfbc5ac8dc52547e350de74da10950102ab981a954419e73e98883375c7fb53</cites><orcidid>0000-0002-1715-6648 ; 0000-0001-8239-1903 ; 0000-0002-5214-4589 ; 0000-0001-5900-4194 ; 0000-0001-5889-8632</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36640908$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04817267$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Desgranges, François-Pierrick</creatorcontrib><creatorcontrib>Bouvet, Lionel</creatorcontrib><creatorcontrib>Pereira de Souza Neto, Edmundo</creatorcontrib><creatorcontrib>Evain, Jean-Noël</creatorcontrib><creatorcontrib>Terrisse, Hugo</creatorcontrib><creatorcontrib>Joosten, Alexandre</creatorcontrib><creatorcontrib>Desebbe, Olivier</creatorcontrib><title>Non-invasive measurement of digital plethysmographic variability index to predict fluid responsiveness in mechanically ventilated children: A systematic review and meta-analysis of diagnostic test accuracy studies</title><title>Anaesthesia critical care & pain medicine</title><addtitle>Anaesth Crit Care Pain Med</addtitle><description>To date, the use of the plethysmographic variability index (PVI) has not been recommended to guide fluid management in the paediatric surgical population. This systematic review and meta-analysis aimed to summarise available evidence about the diagnostic accuracy of digital PVI to predict fluid responsiveness in mechanically ventilated children.
We searched the Pubmed, Embase and Web of Science databases, from inception to January 2022, to identify all relevant studies that investigated the ability of the PVI recorded at the finger to predict fluid responsiveness in mechanically ventilated children. Using a random-effects model, we calculated pooled values of diagnostic odds ratio, sensitivity, and specificity of PVI to predict the response to fluid challenge.
Eight studies met the inclusion criteria with a total of 283 patients and 360 fluid challenges. All the studies were carried out in a surgical setting. The area under the summary receiver operating characteristic curve of PVI to predict fluid responsiveness was 0.82. The pooled sensitivity, specificity, and diagnostic odds ratio of PVI for the overall population were 72.4% [95% CI: 65.3–78.7], 65.9% [58.5–72.8], and 9.26 [5.31–16.16], respectively.
Our results suggest that digital PVI is a reliable predictor for fluid responsiveness in mechanically ventilated children in the perioperative setting. The diagnostic performance of digital PVI reported in our work for discrimination between responders and non-responders to the fluid challenge was however not as high as previously reported in the adult population.</description><subject>Adult</subject><subject>Child</subject><subject>Children</subject><subject>Diagnostic Tests, Routine</subject><subject>Fluid responsiveness</subject><subject>Fluid Therapy - methods</subject><subject>Hemodynamics - physiology</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Intraoperative monitoring</subject><subject>Life Sciences</subject><subject>Meta-analysis</subject><subject>Monitoring, Intraoperative - methods</subject><subject>Plethysmographic variability index</subject><subject>Respiration, Artificial - methods</subject><subject>ROC Curve</subject><issn>2352-5568</issn><issn>2352-5568</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUFv1DAQhSMEolXpL0BCPsIhix3HcYLEoaqAIq3gAmdr1p7d9cpxgu1syQ_l_-CQUnHiZOvpm_dG84riJaMbRlnz9rQBrcd-U9GKLwrr6ifFZcVFVQrRtE__-V8U1zGeKKWsbiTv5PPigjdNTTvaXha_vgy-tP4M0Z6R9AhxCtijT2TYE2MPNoEjo8N0nGM_HAKMR6vJGYKFnXU2zcR6gz9JGsgY0FidyN5N1pCAcRz84uoxxkxlc30EbzU4N5MsJ-sgoSH6aJ0J6N-RGxLnmLCHlDMCni3eE_AmTyYowYObo43rYnDwQ1ywhDGRfIspgJ5JTJOxGF8Uz_bgIl4_vFfF948fvt3elduvnz7f3mxLzTueypbq_U4L0K3RohK1RC6oQVkbYLQTlNEKdl3LoBN1zTqUHLu2bTmXQsv9TvCr4s3qewSnxmB7CLMawKq7m61aNFq3TFaNPLPMvl7ZMQw_pry16m3U6Bx4HKaoKtkIKTvKeEb5iuowxBhw_-jNqFrqVyf1p3611K_W-vPUq4eAadejeZz5W3YG3q8A5pPk4wYVtUWvc20BdVJmsP8N-A2u2MdF</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Desgranges, François-Pierrick</creator><creator>Bouvet, Lionel</creator><creator>Pereira de Souza Neto, Edmundo</creator><creator>Evain, Jean-Noël</creator><creator>Terrisse, Hugo</creator><creator>Joosten, Alexandre</creator><creator>Desebbe, Olivier</creator><general>Elsevier Masson SAS</general><general>Elsevier Masson</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-1715-6648</orcidid><orcidid>https://orcid.org/0000-0001-8239-1903</orcidid><orcidid>https://orcid.org/0000-0002-5214-4589</orcidid><orcidid>https://orcid.org/0000-0001-5900-4194</orcidid><orcidid>https://orcid.org/0000-0001-5889-8632</orcidid></search><sort><creationdate>202306</creationdate><title>Non-invasive measurement of digital plethysmographic variability index to predict fluid responsiveness in mechanically ventilated children: A systematic review and meta-analysis of diagnostic test accuracy studies</title><author>Desgranges, François-Pierrick ; Bouvet, Lionel ; Pereira de Souza Neto, Edmundo ; Evain, Jean-Noël ; Terrisse, Hugo ; Joosten, Alexandre ; Desebbe, Olivier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-80cfbc5ac8dc52547e350de74da10950102ab981a954419e73e98883375c7fb53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adult</topic><topic>Child</topic><topic>Children</topic><topic>Diagnostic Tests, Routine</topic><topic>Fluid responsiveness</topic><topic>Fluid Therapy - methods</topic><topic>Hemodynamics - physiology</topic><topic>Human health and pathology</topic><topic>Humans</topic><topic>Intraoperative monitoring</topic><topic>Life Sciences</topic><topic>Meta-analysis</topic><topic>Monitoring, Intraoperative - methods</topic><topic>Plethysmographic variability index</topic><topic>Respiration, Artificial - methods</topic><topic>ROC Curve</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Desgranges, François-Pierrick</creatorcontrib><creatorcontrib>Bouvet, Lionel</creatorcontrib><creatorcontrib>Pereira de Souza Neto, Edmundo</creatorcontrib><creatorcontrib>Evain, Jean-Noël</creatorcontrib><creatorcontrib>Terrisse, Hugo</creatorcontrib><creatorcontrib>Joosten, Alexandre</creatorcontrib><creatorcontrib>Desebbe, Olivier</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Anaesthesia critical care & pain medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Desgranges, François-Pierrick</au><au>Bouvet, Lionel</au><au>Pereira de Souza Neto, Edmundo</au><au>Evain, Jean-Noël</au><au>Terrisse, Hugo</au><au>Joosten, Alexandre</au><au>Desebbe, Olivier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Non-invasive measurement of digital plethysmographic variability index to predict fluid responsiveness in mechanically ventilated children: A systematic review and meta-analysis of diagnostic test accuracy studies</atitle><jtitle>Anaesthesia critical care & pain medicine</jtitle><addtitle>Anaesth Crit Care Pain Med</addtitle><date>2023-06</date><risdate>2023</risdate><volume>42</volume><issue>3</issue><spage>101194</spage><epage>101194</epage><pages>101194-101194</pages><artnum>101194</artnum><issn>2352-5568</issn><eissn>2352-5568</eissn><abstract>To date, the use of the plethysmographic variability index (PVI) has not been recommended to guide fluid management in the paediatric surgical population. This systematic review and meta-analysis aimed to summarise available evidence about the diagnostic accuracy of digital PVI to predict fluid responsiveness in mechanically ventilated children.
We searched the Pubmed, Embase and Web of Science databases, from inception to January 2022, to identify all relevant studies that investigated the ability of the PVI recorded at the finger to predict fluid responsiveness in mechanically ventilated children. Using a random-effects model, we calculated pooled values of diagnostic odds ratio, sensitivity, and specificity of PVI to predict the response to fluid challenge.
Eight studies met the inclusion criteria with a total of 283 patients and 360 fluid challenges. All the studies were carried out in a surgical setting. The area under the summary receiver operating characteristic curve of PVI to predict fluid responsiveness was 0.82. The pooled sensitivity, specificity, and diagnostic odds ratio of PVI for the overall population were 72.4% [95% CI: 65.3–78.7], 65.9% [58.5–72.8], and 9.26 [5.31–16.16], respectively.
Our results suggest that digital PVI is a reliable predictor for fluid responsiveness in mechanically ventilated children in the perioperative setting. The diagnostic performance of digital PVI reported in our work for discrimination between responders and non-responders to the fluid challenge was however not as high as previously reported in the adult population.</abstract><cop>France</cop><pub>Elsevier Masson SAS</pub><pmid>36640908</pmid><doi>10.1016/j.accpm.2023.101194</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-1715-6648</orcidid><orcidid>https://orcid.org/0000-0001-8239-1903</orcidid><orcidid>https://orcid.org/0000-0002-5214-4589</orcidid><orcidid>https://orcid.org/0000-0001-5900-4194</orcidid><orcidid>https://orcid.org/0000-0001-5889-8632</orcidid></addata></record> |
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subjects | Adult Child Children Diagnostic Tests, Routine Fluid responsiveness Fluid Therapy - methods Hemodynamics - physiology Human health and pathology Humans Intraoperative monitoring Life Sciences Meta-analysis Monitoring, Intraoperative - methods Plethysmographic variability index Respiration, Artificial - methods ROC Curve |
title | Non-invasive measurement of digital plethysmographic variability index to predict fluid responsiveness in mechanically ventilated children: A systematic review and meta-analysis of diagnostic test accuracy studies |
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