Towards autoregulation-oriented management after traumatic brain injury: increasing the reliability and stability of the CPPopt algorithm.
CPPopt
Cerebral autoregulation
Multiwindow weighted approach
Reliability
Stability
Traumatic brain injury
Journal
Journal of clinical monitoring and computing
ISSN: 1573-2614
Titre abrégé: J Clin Monit Comput
Pays: Netherlands
ID NLM: 9806357
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
received:
23
01
2023
accepted:
01
04
2023
medline:
28
7
2023
pubmed:
29
4
2023
entrez:
29
4
2023
Statut:
ppublish
Résumé
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. 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. 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. The CPPopt calculation algorithm was fine-tuned and adapted for prospective use with acceptable lower yield, improved stability and maintained prognostic power.
Identifiants
pubmed: 37119323
doi: 10.1007/s10877-023-01009-1
pii: 10.1007/s10877-023-01009-1
pmc: PMC10371880
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
963-976Subventions
Organisme : CTBI scholarship
ID : 602150
Organisme : Medical Research Council,United Kingdom
ID : MR N013433-1
Organisme : Seventh Framework Programme
ID : 602150
Organisme : Action Medical Research
ID : GN2609
Investigateurs
Audny Anke
(A)
Ronny Beer
(R)
Bo-Michael Bellander
(BM)
Erta Beqiri
(E)
Andras Buki
(A)
Manuel Cabeleira
(M)
Marco Carbonara
(M)
Arturo Chieregato
(A)
Giuseppe Citerio
(G)
Hans Clusmann
(H)
Endre Czeiter
(E)
Marek Czosnyka
(M)
Bart Depreitere
(B)
Ari Ercole
(A)
Shirin Frisvold
(S)
Raimund Helbok
(R)
Stefan Jankowski
(S)
Daniel Kondziella
(D)
Lars-Owe Koskinen
(LO)
Ana Kowark
(A)
David K Menon
(DK)
Geert Meyfroidt
(G)
Kirsten Moeller
(K)
David Nelson
(D)
Anna Piippo-Karjalainen
(A)
Andreea Radoi
(A)
Arminas Ragauskas
(A)
Rahul Raj
(R)
Jonathan Rhodes
(J)
Saulius Rocka
(S)
Rolf Rossaint
(R)
Juan Sahuquillo
(J)
Oliver Sakowitz
(O)
Peter Smielewski
(P)
Nino Stocchetti
(N)
Nina Sundström
(N)
Riikka Takala
(R)
Tomas Tamosuitis
(T)
Olli Tenovuo
(O)
Andreas Unterberg
(A)
Peter Vajkoczy
(P)
Alessia Vargiolu
(A)
Rimantas Vilcinis
(R)
Stefan Wolf
(S)
Alexander Younsi
(A)
Frederick A Zeiler
(FA)
Informations de copyright
© 2023. The Author(s).
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