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Dynamic Intracranial Pressure Waveform Morphology Predicts Ventriculitis.

Authors :
Megjhani M
Terilli K
Kalasapudi L
Chen J
Carlson J
Miller S
Badjatia N
Hu P
Velazquez A
Roh DJ
Agarwal S
Claassen J
Connolly ES Jr
Hu X
Morris N
Park S
Source :
Neurocritical care [Neurocrit Care] 2022 Apr; Vol. 36 (2), pp. 404-411. Date of Electronic Publication: 2021 Jul 30.
Publication Year :
2022

Abstract

Background: Intracranial pressure waveform morphology reflects compliance, which can be decreased by ventriculitis. We investigated whether morphologic analysis of intracranial pressure dynamics predicts the onset of ventriculitis.<br />Methods: Ventriculitis was defined as culture or Gram stain positive cerebrospinal fluid, warranting treatment. We developed a pipeline to automatically isolate segments of intracranial pressure waveforms from extraventricular catheters, extract dominant pulses, and obtain morphologically similar groupings. We used a previously validated clinician-supervised active learning paradigm to identify metaclusters of triphasic, single-peak, or artifactual peaks. Metacluster distributions were concatenated with temperature and routine blood laboratory values to create feature vectors. A L2-regularized logistic regression classifier was trained to distinguish patients with ventriculitis from matched controls, and the discriminative performance using area under receiver operating characteristic curve with bootstrapping cross-validation was reported.<br />Results: Fifty-eight patients were included for analysis. Twenty-seven patients with ventriculitis from two centers were identified. Thirty-one patients with catheters but without ventriculitis were selected as matched controls based on age, sex, and primary diagnosis. There were 1590 h of segmented data, including 396,130 dominant pulses in patients with ventriculitis and 557,435 pulses in patients without ventriculitis. There were significant differences in metacluster distribution comparing before culture-positivity versus during culture-positivity (pā€‰<ā€‰0.001) and after culture-positivity (pā€‰<ā€‰0.001). The classifier demonstrated good discrimination with median area under receiver operating characteristic 0.70 (interquartile range 0.55-0.80). There were 1.5 true alerts (ventriculitis detected) for every false alert.<br />Conclusions: Intracranial pressure waveform morphology analysis can classify ventriculitis without cerebrospinal fluid sampling.<br /> (© 2021. Springer Science+Business Media, LLC, part of Springer Nature and Neurocritical Care Society.)

Details

Language :
English
ISSN :
1556-0961
Volume :
36
Issue :
2
Database :
MEDLINE
Journal :
Neurocritical care
Publication Type :
Academic Journal
Accession number :
34331206
Full Text :
https://doi.org/10.1007/s12028-021-01303-3