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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2021
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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. |
format | Online Article Text |
id | pubmed-7905968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
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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