Evidence map›Paper›PMID 41686137›Full record

ArticleCritical care explorations2026

Performance of Intracranial Pressure Waveform Morphological Features as Biomarkers of Intracranial Hypertension.

Haoer Shi, Bethany Young, Andrea L C Schneider, Rachel Thomas, Brian Litt, Joshua M Levine

Abstract read
In one paragraph

Article in Critical care explorations, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Haoer ShiCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA.ORCID 0009-0000-5273-8371
Bethany YoungDepartment of Internal Medicine, Virtua Rowan College of Medicine and Life Sciences, Rowan University, Stratford, NJ.
Andrea L C SchneiderDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Rachel ThomasDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Brian LittCenter for Neuroengineering and Therapeutics, University of Pennsylvania, Philadelphia, PA.
Joshua M LevineDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Funding

Ghost in the Machine: Melding Brain, Computer and BehaviorDP1NS122038 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI LITT, BRIAN · 2020 to 2024
$5.7M
Establishing Mechanisms Between Traumatic Brain Injury and Dementia Using Epidemiology, Clinical Studies, Blood-Based Biomarkers, and Neuroimaging BiomarkersK23NS123340 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Andrea Lauren Christman Schneider · 2022 to 2026
$1.1M
NINDS NIH HHS DP1 NS122038NINDS NIH HHS K23 NS123340
6 · The paper itself

Abstract

importanceIntracranial hypertension (IH) is a life-threatening condition requiring timely intervention. Morphology of the intracranial pressure (ICP) waveform, especially the ratio of the second to the first ICP waveform peaks (P2/P1 ratio), may serve as a biomarker for IH.

objectivesThis study evaluates the potential of the P2/P1 ratio and other morphological features to detect and predict IH and their utility in clinical practice. DESIGN, SETTING, AND

participantsRetrospective data from 121 patients with brain injury who underwent both ICP and electrocardiographic monitoring across two neurointensive care units at the University of Pennsylvania were collected between July 1, 2015, and October 31, 2024. MAIN OUTCOMES AND MEASURES: Seven ICP morphological features reflecting peak, amplitude, frequency, and shape domains were calculated every minute. IH events were defined as mean ICP greater than or equal to 20 mm Hg for at least 30 minutes.

resultsFeatures effectively detected or predicted IH in only a subset of patients, ranging from 20% to 75% for detection and 13% to 53% for prediction. Amplitude-based features outperformed features in other domains, with mean pulse amplitude (AMP) achieving the highest average area under the receiver operating characteristic curve of 0.83 (95% CI, [0.77-0.88]), compared with 0.71 (95% CI [0.67-0.76]) for the P2/P1 ratio. Better amplitude-based feature performance was associated with female sex and traumatic brain injury diagnoses. Optimal classification thresholds varied across individuals. Applying predicted thresholds in real-time monitoring simulations led to reduced performance. AMP achieved the best, albeit suboptimal, performance, with a false-positive rate of 1.77/hr, and IH detection rates of 36%, 54%, and 65% within 30 minutes before onset, 15 minutes after onset, and over the full event duration, respectively. CONCLUSIONS AND RELEVANCE: The ICP morphological features examined demonstrated limited utility in detecting or predicting IH and, in their current form, may not be suitable for routine clinical use.

Indexed as

Intracranial HypertensionIntracranial PressureAdultAgedBiomarkersBrain InjuriesElectrocardiographyFemaleHumansMaleMiddle AgedMonitoring, PhysiologicRetrospective StudiesBiomarkersintensive care unitintracranial hypertensionintracranial pressure

Identifiers

PMID41686137
PMCPMC12908742

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.