Neuroanesthesia & neurocritical care
Bayesian networks for Risk Assessment and postoperative deficit prediction in intraoperative neurophysiology for brain surgery
Authors' conclusion
We have found that IONM warnings can serve to prevent neurological deficits in patients, especially when corrective surgical action is taken to attempt to revert signals changes back to baseline properties.
Study context
- Population
- Patients admitted for cranial neurosurgery with intraoperative neuromonitoring, January 2020 to January 2022
- Participants
- 267 patients
- Exposure
- Reversible signal change vs Permanent signal change
- Outcome
- Postoperative neurological deficit (Bayesian network state probabilities)
Methodological detailssingle-centre, Bayesian network modelling
- Single-centre
- Bayesian network modelling
Main finding
As reported in the abstract
No new deficit
Transitory deficit
Permanent deficit
Observational data: associations, not effects.
Original publication
Bayesian networks for Risk Assessment and postoperative deficit prediction in intraoperative neurophysiology for brain surgery. J Clin Monit Comput. Published 9 May 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →