Abstract Objective Visual interpretation of intracranial pressure (ICP) waveforms is widely used to assess intracranial compliance but lacks rigorous validation. We evaluated the pulse shape index (PSI) against the tidal wave (P2)/percussion wave (P1) ratio and examined the contributions of pulse amplitude, compensatory reserve pressure–volume compensatory reserve index (RAP) and transcranial Doppler (TCD)-derived indices. Methods A total of 4388 non-overlapping 5-min segments from 96 high-resolution recordings of simultaneous ICP and TCD blood velocity were analysed. PSI and P2/P1 were derived from normalised ICP pulses. ICP pulse amplitude (AMP), RAP and TCD-derived arterial and intracranial compliance indices arterial compliance (C A ), intracranial compliance (C I ) were calculated per segment. Associations were assessed at segment, recording, and patient levels using correlation and mixed-effects models. Discriminatory performance for impaired (P2/P1 > 1.1) and preserved (P2/P1 < 0.9) compliance was evaluated using receiver operating characteristic (ROC) and precision–recall analyses. Concordance between PSI and P2/P1 classifications was assessed using Chi-squared threshold mapping. Results PSI demonstrated a strong association with P2/P1 ( r ≈ 0.74–0.76 across analysis levels) and high discrimination for impaired compliance area under the curve (AUC) ≈ 0.93. RAP and C I showed weak and inconsistent population-level associations with P2/P1, with substantial inter-individual variability. A distinct phenotype of low AMP (< 1.5 mm Hg) despite impaired waveform-derived compliance was associated with lower RAP. C A and C I provided limited incremental explanatory value, whereas inclusion of AMP improved model fit and classification performance beyond morphology-based metrics alone. Conclusions PSI closely reflects P2/P1 and supports automated waveform-based compliance assessment. However, morphology alone is insufficient; amplitude and reserve indices provide complementary information, supporting a multiparametric approach to intracranial monitoring.
Olakorede et al. (Mon,) studied this question.