AI Article Synopsis
- Increased intracranial pressure (ICP) ≥15 mmHg can harm neurological health, but measuring it traditionally requires invasive methods; researchers developed a new AI-based biomarker (aICP) using non-invasive extracranial waveform data instead.
- The aICP was validated using an independent dataset and showed good performance metrics with an area under the receiver operating characteristic curve (AUROC) of 0.80 and an accuracy of 73.8%.
- Further analysis indicated that higher aICP predictions are linked to specific health conditions, such as brain tumors and intracerebral hemorrhages, suggesting its potential clinical relevance.
Article Abstract
Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000-2013) from Boston, we developed an artificial intelligence-derived biomarker for elevated ICP (aICP) for adult patients. aICP uses routinely collected extracranial waveform data as input, reducing the need for invasive monitoring. We externally validated aICP with an independent dataset from the Mount Sinai Hospital (2020-2022) in New York City. The AUROC, accuracy, sensitivity, and specificity on the external validation dataset were 0.80 (95% CI, 0.80-0.80), 73.8% (95% CI, 72.0-75.6%), 73.5% (95% CI 72.5-74.5%), and 73.0% (95% CI, 72.0-74.0%), respectively. We also present an exploratory analysis showing aICP predictions are associated with clinical phenotypes. A ten-percentile increment was associated with brain malignancy (OR = 1.68; 95% CI, 1.09-2.60), intracerebral hemorrhage (OR = 1.18; 95% CI, 1.07-1.32), and craniotomy (OR = 1.43; 95% CI, 1.12-1.84; P < 0.05 for all).
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11377429 | PMC |
| http://dx.doi.org/10.1038/s41746-024-01227-0 | DOI Listing |
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