Author:
Beqiri Erta,Ercole Ari,Aries Marcel J. H.,Placek Michal M.,Tas Jeanette,Czosnyka Marek,Stocchetti Nino,Smielewski Peter,Anke Audny,Beer Ronny,Bellander Bo-Michael,Beqiri Erta,Buki Andras,Cabeleira Manuel,Carbonara Marco,Chieregato Arturo,Citerio Giuseppe,Clusmann Hans,Czeiter Endre,Czosnyka Marek,Depreitere Bart,Ercole Ari,Frisvold Shirin,Helbok Raimund,Jankowski Stefan,Kondziella Daniel,Koskinen Lars-Owe,Kowark Ana,Menon David K.,Meyfroidt Geert,Moeller Kirsten,Nelson David,Piippo-Karjalainen Anna,Radoi Andreea,Ragauskas Arminas,Raj Rahul,Rhodes Jonathan,Rocka Saulius,Rossaint Rolf,Sahuquillo Juan,Sakowitz Oliver,Smielewski Peter,Stocchetti Nino,Sundström Nina,Takala Riikka,Tamosuitis Tomas,Tenovuo Olli,Unterberg Andreas,Vajkoczy Peter,Vargiolu Alessia,Vilcinis Rimantas,Wolf Stefan,Younsi Alexander,Zeiler Frederick A.,
Abstract
Abstract
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.
Funder
CTBI scholarship
Medical Research Council,United Kingdom
Gates Cambridge Scholarship
HersenStrijd fonds
Seventh Framework Programme
Action Medical Research
ZNS - Hannelore Kohl Stiftung
OneMind
Integra LifeSciences Corporation
NeuroTrauma Sciences
Publisher
Springer Science and Business Media LLC
Subject
Anesthesiology and Pain Medicine,Critical Care and Intensive Care Medicine,Health Informatics