Key result
An anaesthesia-led intraoperative neurophysiological monitoring service achieved a reliable signal in 95.4% of cases and captured significant alerts in 15.6% of these cases.
Why the study?
The quality of anaesthesia-led intraoperative neurophysiological monitoring service provision had not been studied.
Is an anaesthesia-led intraoperative neurophysiological monitoring service effective in identifying patients at increased risk of adverse neurological outcomes?
Observational (n=302)
Is an anaesthesia-led intraoperative neurophysiological monitoring service effective in identifying patients at increased risk of adverse neurological outcomes?
An anaesthesia-led intraoperative neurophysiological monitoring service is effective in identifying patients at increased risk of adverse neurological outcomes during surgery.
Neurophysiological monitoring has been recommended to reduce the risk of neurological damage during a wide variety of surgeries. While the concept of an anaesthesia-led intraoperative neurophysiological monitoring (IONM) service is not new, the quality of this service provision has not been studied. In this article, we present our experience with the establishment of this service, and the results of our audit of 302 cases monitored over the initial four years. Our results identified that an anaesthesia-led IONM service was able to achieve a reliable signal in 95.4% of cases and capture significant alerts in 15.6% of these cases with sensitivity, specificity, false positive and negative rates consistent with published data. Our results indicate an anaesthesia-led IONM service is effective in identifying patients at an increased risk of an adverse outcome.
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Olesnicky et al. (2018) conducted an observational in Surgeries requiring neurophysiological monitoring (n=302). Anaesthesia-led intraoperative neurophysiological monitoring (IONM) was evaluated on Achievement of a reliable signal. An anaesthesia-led intraoperative neurophysiological monitoring service achieved a reliable signal in 95.4% of cases and captured significant alerts in 15.6% of these cases.
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