Can NIRS be a surrogate indicator of elective shunt in carotid endarterectomy? A single-center observational retrospective study says no

Background Neuromonitoring during carotid endarterectomy (CEA) under general anesthesia is desirable and may be useful for preventing brain ischemia, but the selection of the most appropriate method remains controversial. Purpose To determine the effectiveness of near infrared spectroscopy (NIRS) co...

Full description

Saved in:
Bibliographic Details
Published inJournal of clinical monitoring and computing Vol. 38; no. 3; pp. 631 - 638
Main Authors Plata-Bello, Julio, Pérez-Lorensu, Pedro Javier, Saponaro-González, Ángel, Darias-Delbey, Beneharo, Fariña-Jerónimo, Helga, Domínguez-Lorenzo, José María, Ucelay-Gómez, Roberto, González-Tabares, Enrique Francisco, Ibrahim-Achi, Zena, Guerrero-Ramírez, Christian Salvador, Padrón-Encalada, Carol Elizabeth, Pérez-Burkhardt, José Luis
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 01.06.2024
Springer Nature B.V
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Background Neuromonitoring during carotid endarterectomy (CEA) under general anesthesia is desirable and may be useful for preventing brain ischemia, but the selection of the most appropriate method remains controversial. Purpose To determine the effectiveness of near infrared spectroscopy (NIRS) compared to multimodality intraoperative neuromonitoring (IONM) in indicating elective shunts and predicting postoperative neurological status. Methods This is a retrospective observational study including 86 consecutive patients with CEA under general anesthesia. NIRS and multimodality IONM were performed during the procedure. IONM included electroencephalography (EEG), somatosensory evoked potentials (SSEPs) and transcranial motor-evoked potentials (TcMEPs). Sensitivity, specificity, and positive and negative predictive values (PPV and NPV) were calculated for each neuromonitoring modality. Results NIRS presented a sensitivity and a specificity for detecting brain ischemia of 77.7% and 89.6%, respectively (PPV = 46.6% and NPV = 97.2%). In contrast, a 100% sensitivity and specificity for multimodality IONM was determined (PPV and NPV = 100%). No significant difference (in demographical or clinical data) between “true positive” and “false-positive” patients was identified. Among the methods included in multimodality IONM, EEG showed the best results for predicting postoperative outcome after CEA (PPV and NPV=100%). Conclusion NIRS is inferior to multimodality IONM in detecting brain ischemia and predicting postoperative neurological status during CEA under general anesthesia.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Undefined-3
ISSN:1387-1307
1573-2614
DOI:10.1007/s10877-023-01114-1