Background: Patient State Index (PSI) and Suppression Ratio (SR) are two indices calculated by quantitative analysis of EEG used to estimate the depth of anaesthesia but their validation in neurosurgery must be done. Our aim was to investigate the congruity PSI and SR with raw EEG monitoring in neurosurgery. Methods: We included 34 patients undergoing elective cranial neurosurgery. Each patient was monitored by a SedLine device (PSI and SR) and by raw EEG. To appraise the agreement between PSI, SR and EEG Suppr%, Bland-Altman analysis was used. We also correlated the PSI and SR recorded at different times during surgery to the degree of suppression of the raw EEG data by Spearman's rank correlation coefficient. For a comparison with previous data we made an international literature review according to PRISMA protocol. Results: At all recording times, we found that there is a strong agreement between PSI and raw EEG. We also found a significant correlation for both PSI and SR with the EEG suppression percentage (p < 0.05), but with a broad dispersion of the individual values within the confidence interval. Conclusion: The Masimo SedLine processed EEG monitoring system can be used as a guide in the anaesthetic management of patients during elective cranial neurosurgery, but the anaesthesiologist must be aware that previous correlations between PSI and SR with the suppression percentage may not always be valid in all individual patients. The use of an extended visual raw EEG evaluated by an expert electroencephalographer might help to provide better guidance.

Is the Patient State Index a reliable parameter as guide to anaesthesiology in cranial neurosurgery? A first intraoperative study and a literature review / Carrai, Riccardo; Martinelli, Cristiana; Baldanzi, Fabrizio; Gabbanini, Simonetta; Bonaudo, Camilla; Pedone, Agnese; Federico, Capelli; Caramelli, Riccardo; Spalletti, Maddalena; Lolli, Francesco; Grippo, Antonello; Bucciardini, Luca; Puppa, Alessandro Della; Ninone, Tommaso Agostino; Amadori, Andrea. - In: NEUROPHYSIOLOGIE CLINIQUE-CLINICAL NEUROPHYSIOLOGY. - ISSN 0987-7053. - STAMPA. - 53:(2023), pp. 102910-102918. [10.1016/j.neucli.2023.102910]

Is the Patient State Index a reliable parameter as guide to anaesthesiology in cranial neurosurgery? A first intraoperative study and a literature review

Carrai, Riccardo;Martinelli, Cristiana;Gabbanini, Simonetta;Bonaudo, Camilla;Pedone, Agnese;Federico, Capelli;Caramelli, Riccardo;Spalletti, Maddalena;Lolli, Francesco;Grippo, Antonello;Bucciardini, Luca;Puppa, Alessandro Della;Ninone, Tommaso Agostino;Amadori, Andrea
2023

Abstract

Background: Patient State Index (PSI) and Suppression Ratio (SR) are two indices calculated by quantitative analysis of EEG used to estimate the depth of anaesthesia but their validation in neurosurgery must be done. Our aim was to investigate the congruity PSI and SR with raw EEG monitoring in neurosurgery. Methods: We included 34 patients undergoing elective cranial neurosurgery. Each patient was monitored by a SedLine device (PSI and SR) and by raw EEG. To appraise the agreement between PSI, SR and EEG Suppr%, Bland-Altman analysis was used. We also correlated the PSI and SR recorded at different times during surgery to the degree of suppression of the raw EEG data by Spearman's rank correlation coefficient. For a comparison with previous data we made an international literature review according to PRISMA protocol. Results: At all recording times, we found that there is a strong agreement between PSI and raw EEG. We also found a significant correlation for both PSI and SR with the EEG suppression percentage (p < 0.05), but with a broad dispersion of the individual values within the confidence interval. Conclusion: The Masimo SedLine processed EEG monitoring system can be used as a guide in the anaesthetic management of patients during elective cranial neurosurgery, but the anaesthesiologist must be aware that previous correlations between PSI and SR with the suppression percentage may not always be valid in all individual patients. The use of an extended visual raw EEG evaluated by an expert electroencephalographer might help to provide better guidance.
2023
53
102910
102918
Carrai, Riccardo; Martinelli, Cristiana; Baldanzi, Fabrizio; Gabbanini, Simonetta; Bonaudo, Camilla; Pedone, Agnese; Federico, Capelli; Caramelli, Riccardo; Spalletti, Maddalena; Lolli, Francesco; Grippo, Antonello; Bucciardini, Luca; Puppa, Alessandro Della; Ninone, Tommaso Agostino; Amadori, Andrea
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1345369
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