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Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery

The finger-cuff system CNAP (CNSystems Medizintechnik, Graz, Austria) allows non-invasive automated measurement of pulse pressure variation (PPV(CNAP)). We sought to validate the PPV(CNAP)-algorithm and investigate the agreement between PPV(CNAP) and arterial catheter-derived manually calculated pul...

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Autores principales: Flick, Moritz, Hoppe, Phillip, Matin Mehr, Jasmin, Briesenick, Luisa, Kouz, Karim, Greiwe, Gillis, Fortin, Jürgen, Saugel, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905968/
https://www.ncbi.nlm.nih.gov/pubmed/33630220
http://dx.doi.org/10.1007/s10877-021-00669-1
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author Flick, Moritz
Hoppe, Phillip
Matin Mehr, Jasmin
Briesenick, Luisa
Kouz, Karim
Greiwe, Gillis
Fortin, Jürgen
Saugel, Bernd
author_facet Flick, Moritz
Hoppe, Phillip
Matin Mehr, Jasmin
Briesenick, Luisa
Kouz, Karim
Greiwe, Gillis
Fortin, Jürgen
Saugel, Bernd
author_sort Flick, Moritz
collection PubMed
description The finger-cuff system CNAP (CNSystems Medizintechnik, Graz, Austria) allows non-invasive automated measurement of pulse pressure variation (PPV(CNAP)). We sought to validate the PPV(CNAP)-algorithm and investigate the agreement between PPV(CNAP) and arterial catheter-derived manually calculated pulse pressure variation (PPV(INV)). This was a prospective method comparison study in patients having neurosurgery. PPV(INV) was the reference method. We applied the PPV(CNAP)-algorithm to arterial catheter-derived blood pressure waveforms (PPV(INV−CNAP)) and to CNAP finger-cuff-derived blood pressure waveforms (PPV(CNAP)). To validate the PPV(CNAP)-algorithm, we compared PPV(INV−CNAP) to PPV(INV). To investigate the clinical performance of PPV(CNAP), we compared PPV(CNAP) to PPV(INV). We used Bland–Altman analysis (absolute agreement), Deming regression, concordance, and Cohen's kappa (predictive agreement for three pulse pressure variation categories). We analyzed 360 measurements from 36 patients. The mean of the differences between PPV(INV−CNAP) and PPV(INV) was −0.1% (95% limits of agreement (95%-LoA) −2.5 to 2.3%). Deming regression showed a slope of 0.99 (95% confidence interval (95%-CI) 0.91 to 1.06) and intercept of −0.02 (95%-CI −0.52 to 0.47). The predictive agreement between PPV(INV−CNAP) and PPV(INV) was 92% and Cohen’s kappa was 0.79. The mean of the differences between PPV(CNAP) and PPV(INV) was −1.0% (95%-LoA−6.3 to 4.3%). Deming regression showed a slope of 0.85 (95%-CI 0.78 to 0.91) and intercept of 0.10 (95%-CI −0.34 to 0.55). The predictive agreement between PPV(CNAP) and PPV(INV) was 82% and Cohen’s kappa was 0.48. The PPV(CNAP)-algorithm reliably calculates pulse pressure variation compared to manual offline pulse pressure variation calculation when applied on the same arterial blood pressure waveform. The absolute and predictive agreement between PPV(CNAP) and PPV(INV) are moderate.
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spelling pubmed-79059682021-02-26 Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery Flick, Moritz Hoppe, Phillip Matin Mehr, Jasmin Briesenick, Luisa Kouz, Karim Greiwe, Gillis Fortin, Jürgen Saugel, Bernd J Clin Monit Comput Original Research The finger-cuff system CNAP (CNSystems Medizintechnik, Graz, Austria) allows non-invasive automated measurement of pulse pressure variation (PPV(CNAP)). We sought to validate the PPV(CNAP)-algorithm and investigate the agreement between PPV(CNAP) and arterial catheter-derived manually calculated pulse pressure variation (PPV(INV)). This was a prospective method comparison study in patients having neurosurgery. PPV(INV) was the reference method. We applied the PPV(CNAP)-algorithm to arterial catheter-derived blood pressure waveforms (PPV(INV−CNAP)) and to CNAP finger-cuff-derived blood pressure waveforms (PPV(CNAP)). To validate the PPV(CNAP)-algorithm, we compared PPV(INV−CNAP) to PPV(INV). To investigate the clinical performance of PPV(CNAP), we compared PPV(CNAP) to PPV(INV). We used Bland–Altman analysis (absolute agreement), Deming regression, concordance, and Cohen's kappa (predictive agreement for three pulse pressure variation categories). We analyzed 360 measurements from 36 patients. The mean of the differences between PPV(INV−CNAP) and PPV(INV) was −0.1% (95% limits of agreement (95%-LoA) −2.5 to 2.3%). Deming regression showed a slope of 0.99 (95% confidence interval (95%-CI) 0.91 to 1.06) and intercept of −0.02 (95%-CI −0.52 to 0.47). The predictive agreement between PPV(INV−CNAP) and PPV(INV) was 92% and Cohen’s kappa was 0.79. The mean of the differences between PPV(CNAP) and PPV(INV) was −1.0% (95%-LoA−6.3 to 4.3%). Deming regression showed a slope of 0.85 (95%-CI 0.78 to 0.91) and intercept of 0.10 (95%-CI −0.34 to 0.55). The predictive agreement between PPV(CNAP) and PPV(INV) was 82% and Cohen’s kappa was 0.48. The PPV(CNAP)-algorithm reliably calculates pulse pressure variation compared to manual offline pulse pressure variation calculation when applied on the same arterial blood pressure waveform. The absolute and predictive agreement between PPV(CNAP) and PPV(INV) are moderate. Springer Netherlands 2021-02-25 2022 /pmc/articles/PMC7905968/ /pubmed/33630220 http://dx.doi.org/10.1007/s10877-021-00669-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Flick, Moritz
Hoppe, Phillip
Matin Mehr, Jasmin
Briesenick, Luisa
Kouz, Karim
Greiwe, Gillis
Fortin, Jürgen
Saugel, Bernd
Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery
title Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery
title_full Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery
title_fullStr Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery
title_full_unstemmed Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery
title_short Non-invasive measurement of pulse pressure variation using a finger-cuff method (CNAP system): a validation study in patients having neurosurgery
title_sort non-invasive measurement of pulse pressure variation using a finger-cuff method (cnap system): a validation study in patients having neurosurgery
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905968/
https://www.ncbi.nlm.nih.gov/pubmed/33630220
http://dx.doi.org/10.1007/s10877-021-00669-1
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