Evidence map›Paper›PMID 42527815›Full record

ArticleNeurocritical care2026

Early Prediction of External Ventricular Drain Weaning Trial Outcome in Patients with SAH Based on ICP Pulse Morphological Similarity: A Single-Center Retrospective Cohort Analysis.

Kejun Dong, Ofer Sadan, Paul Horton, Fahimeh Mohagheghian, Delgersuren Bold, Xiao Hu

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

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Kejun DongCenter for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Ofer SadanDepartment of Neurology and Neurosurgery, Division of Neurocritical Care, School of Medicine, Emory University, Atlanta, GA, USA.
Paul HortonH. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Fahimeh MohagheghianCenter for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Delgersuren BoldCenter for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
Xiao HuCenter for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA. xiao.hu@emory.edu.ORCID http://orcid.org/0000-0001-9478-5571

Funding

Learning to Predict Delayed Cerebral Ischemia with Novel Continuous Cerebral Arterial State IndexR01NS113541 · NINDS · EMORY UNIVERSITY · PI HU, XIAO, VESPA, PAUL M · 2020 to 2025
$3.0M
NINDS NIH HHS R01NS113541
6 · The paper itself

Abstract

backgroundExternal ventricular drain (EVD) weaning trials assess the ability of patients with nontraumatic subarachnoid hemorrhage (SAH) to maintain normal intracranial pressure (ICP) without external drainage. Early weaning outcome prediction may optimize clinical management. Existing studies rely on intermittent ICP measurements or static electronic health record data, failing to capture dynamic ICP information. We hypothesize that similar mean ICP produces similar pulse morphology under homeostatic conditions, and acute ICP dynamics changes alter this pattern.

methodsWe retrospectively analyzed 588 patients with SAH with 413 successful and 239 failed EVD weaning attempts. Dominant ICP pulses were extracted, and morphological similarity was quantified between pulse pairs. A reference pulse similarity distribution was established from a random 50% of successful attempts. Kullback-Leibler divergence measured deviations from this reference distribution for remaining attempts. Three machine learning models compared performance using pulse similarity alone versus combined with key clinical features (age, sex, World Federation of Neurological Societies scale, modified Fisher scale).

resultsAll models showed progressive performance improvement over time in predicting clamp trial result from the time of EVD clamping. Support vector machine achieved superior performance with pulse features alone, reaching F1 score of 0.77 (± 0.07, CI 0.69-0.85), AUC of 0.86 (± 0.05, CI 0.79-0.93), and Brier score of 0.15 (± 0.01, CI 0.13-0.17) at 24 h. Clinical features provided modest improvements at early hours (5-18% AUC increase) with diminishing benefits later. Decision curve analysis revealed incorporating clinical features enhanced clinical utility from 10 h onward, even with modest discriminative ability, while models achieved marked clinical utility at 16-24 h.

conclusionsThis study demonstrates that ICP pulse morphological similarity can predict EVD weaning outcomes and reveals the emergence of clinical value beginning 10 h after trial initiation, potentially enabling optimizing patient care in SAH management complicated with obstructive hydrocephalus.

Indexed as

External ventricular drain (EVD)ICP pulseMachine learningMorphological similarityObstructive hydrocephalusSubarachnoid hemorrhage (SAH)

Identifiers

PMID42527815

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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.