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Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm
PURPOSE: CPPopt denotes a Cerebral Perfusion Pressure (CPP) value at which the Pressure-Reactivity index, reflecting the global state of Cerebral Autoregulation, is best preserved. CPPopt has been investigated as a potential dynamically individualised CPP target in traumatic brain injury patients ad...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371880/ https://www.ncbi.nlm.nih.gov/pubmed/37119323 http://dx.doi.org/10.1007/s10877-023-01009-1 |
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author | Beqiri, Erta Ercole, Ari Aries, Marcel J. H. Placek, Michal M. Tas, Jeanette Czosnyka, Marek Stocchetti, Nino Smielewski, Peter |
author_facet | Beqiri, Erta Ercole, Ari Aries, Marcel J. H. Placek, Michal M. Tas, Jeanette Czosnyka, Marek Stocchetti, Nino Smielewski, Peter |
author_sort | Beqiri, Erta |
collection | PubMed |
description | PURPOSE: CPPopt denotes a Cerebral Perfusion Pressure (CPP) value at which the Pressure-Reactivity index, reflecting the global state of Cerebral Autoregulation, is best preserved. CPPopt has been investigated as a potential dynamically individualised CPP target in traumatic brain injury patients admitted in intensive care unit. The prospective bedside use of the concept requires ensured safety and reliability of the CPP recommended targets based on the automatically-generated CPPopt. We aimed to: Increase stability and reliability of the CPPopt automated algorithm by fine-tuning; perform outcome validation of the adjusted algorithm in a multi-centre TBI cohort. METHODS: ICM + software was used to derive CPPopt and fine-tune the algorithm. Parameters for improvement of the algorithm were selected based on qualitative and quantitative assessment of stability and reliability metrics. Patients enrolled in the Collaborative European Neuro Trauma Effectiveness Research in TBI (CENTER-TBI) high-resolution cohort were included for retrospective validation. Yield and stability of the new algorithm were compared to the previous algorithm using Mann–U test. Area under the curves for mortality prediction at 6 months were compared with the DeLong Test. RESULTS: CPPopt showed higher stability (p < 0.0001), but lower yield compared to the previous algorithm [80.5% (70—87.5) vs 85% (75.7—91.2), p < 0.001]. Deviation of CPPopt could predict mortality with an AUC of [AUC = 0.69 (95% CI 0.59–0.78), p < 0.001] and was comparable with the previous algorithm. CONCLUSION: The CPPopt calculation algorithm was fine-tuned and adapted for prospective use with acceptable lower yield, improved stability and maintained prognostic power. |
format | Online Article Text |
id | pubmed-10371880 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-103718802023-07-28 Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm Beqiri, Erta Ercole, Ari Aries, Marcel J. H. Placek, Michal M. Tas, Jeanette Czosnyka, Marek Stocchetti, Nino Smielewski, Peter J Clin Monit Comput Original Research PURPOSE: CPPopt denotes a Cerebral Perfusion Pressure (CPP) value at which the Pressure-Reactivity index, reflecting the global state of Cerebral Autoregulation, is best preserved. CPPopt has been investigated as a potential dynamically individualised CPP target in traumatic brain injury patients admitted in intensive care unit. The prospective bedside use of the concept requires ensured safety and reliability of the CPP recommended targets based on the automatically-generated CPPopt. We aimed to: Increase stability and reliability of the CPPopt automated algorithm by fine-tuning; perform outcome validation of the adjusted algorithm in a multi-centre TBI cohort. METHODS: ICM + software was used to derive CPPopt and fine-tune the algorithm. Parameters for improvement of the algorithm were selected based on qualitative and quantitative assessment of stability and reliability metrics. Patients enrolled in the Collaborative European Neuro Trauma Effectiveness Research in TBI (CENTER-TBI) high-resolution cohort were included for retrospective validation. Yield and stability of the new algorithm were compared to the previous algorithm using Mann–U test. Area under the curves for mortality prediction at 6 months were compared with the DeLong Test. RESULTS: CPPopt showed higher stability (p < 0.0001), but lower yield compared to the previous algorithm [80.5% (70—87.5) vs 85% (75.7—91.2), p < 0.001]. Deviation of CPPopt could predict mortality with an AUC of [AUC = 0.69 (95% CI 0.59–0.78), p < 0.001] and was comparable with the previous algorithm. CONCLUSION: The CPPopt calculation algorithm was fine-tuned and adapted for prospective use with acceptable lower yield, improved stability and maintained prognostic power. Springer Netherlands 2023-04-29 2023 /pmc/articles/PMC10371880/ /pubmed/37119323 http://dx.doi.org/10.1007/s10877-023-01009-1 Text en © The Author(s) 2023 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 Beqiri, Erta Ercole, Ari Aries, Marcel J. H. Placek, Michal M. Tas, Jeanette Czosnyka, Marek Stocchetti, Nino Smielewski, Peter Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm |
title | Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm |
title_full | Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm |
title_fullStr | Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm |
title_full_unstemmed | Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm |
title_short | Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm |
title_sort | towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the cppopt algorithm |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10371880/ https://www.ncbi.nlm.nih.gov/pubmed/37119323 http://dx.doi.org/10.1007/s10877-023-01009-1 |
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