Cerebral perfusion pressure trajectories and cumulative exposure metrics predict in-hospital mortality in acute brain injury - Report - MDSpire

Cerebral perfusion pressure trajectories and cumulative exposure metrics predict in-hospital mortality in acute brain injury

  • By

  • Juan Wang

  • Hai-Bo Li

  • Man-Man Xu

  • Wen-Juan Li

  • Chun-Hua Hang

  • Peng-Lai Zhao

  • May 22, 2026

  • 0 min

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Clinical Report: Predictive Value of Cerebral Perfusion Pressure Patterns

Overview

This study identifies distinct cerebral perfusion pressure (CPP) trajectory phenotypes and cumulative CPP metrics that are significantly associated with in-hospital mortality in ICU patients with acute brain injury (ABI). The findings suggest that dynamic CPP patterns may provide incremental prognostic information beyond traditional fixed CPP targets.

Background

Acute brain injury (ABI) is a leading cause of mortality and disability worldwide, necessitating effective management strategies in intensive care settings. Cerebral perfusion pressure (CPP) is critical for maintaining cerebral blood flow and preventing secondary injury, yet current guidelines often rely on fixed CPP targets that may not account for individual patient variability. Understanding dynamic CPP patterns could enhance prognostic capabilities and inform personalized treatment approaches.

Data Highlights

CPP Trajectory PhenotypeHazard Ratio (HR)95% Confidence Interval (CI)
Stable Normal1.0-
Gradual Recovery1.7201.252–2.362
Labile Improvement2.0811.508–2.873
Rapid Decline5.3133.547–7.958

Key Findings

  • Four CPP trajectory phenotypes were identified: Stable Normal, Gradual Recovery, Labile Improvement, and Rapid Decline.
  • Mortality risk increased progressively from Stable Normal to Rapid Decline (HR 5.313, P < 0.001).
  • Higher cumulative CPP metrics were associated with lower in-hospital mortality (all P < 0.001).
  • Survival analyses showed significant differences in survival probabilities across phenotypes.
  • Adding CPP trajectory to baseline models improved discrimination and reclassification (AUC increased from 0.759 to 0.773, P = 0.011).

Clinical Implications

Clinicians should consider dynamic CPP trajectories and cumulative metrics when assessing prognosis in patients with ABI. This approach may enhance individualized treatment strategies and improve patient outcomes by recognizing the limitations of static CPP targets.

Conclusion

The study highlights the importance of evaluating CPP trajectory phenotypes and cumulative metrics in predicting in-hospital mortality among ABI patients. Further prospective validation is warranted to confirm these findings.

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  7. Cerebral Perfusion Pressure in Severe Traumatic Brain Injury Survivors and Non-Survivors: A Meta-Analysis - PMC
  8. Targeting Autoregulation-Guided Cerebral Perfusion Pressure after Traumatic Brain Injury (COGiTATE): A Feasibility Randomized Controlled Clinical Trial - Jeanette Tas, Erta Beqiri, Ruud C. van Kaam, Marek Czosnyka, Joseph Donnelly, Roel H. Haeren, Iwan C.C. van der Horst, Peter J. Hutchinson, Sander M.J. van Kuijk, Analisa L. Liberti, David K. Menon, Cornelia W.E. Hoedemaekers, Bart Depreitere, Peter Smielewski, Geert Meyfroidt, Ari Ercole, Marcel J.H. Aries, 2021

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