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

被引:1
作者
Plata-Bello, Julio [1 ]
Perez-Lorensu, Pedro Javier [2 ]
Saponaro-Gonzalez, Angel [2 ]
Darias-Delbey, Beneharo [3 ,4 ]
Farina-Jeronimo, Helga [1 ]
Dominguez-Lorenzo, Jose Maria [2 ]
Ucelay-Gomez, Roberto [3 ]
Gonzalez-Tabares, Enrique Francisco [3 ]
Ibrahim-Achi, Zena [3 ]
Guerrero-Ramirez, Christian Salvador [3 ]
Padron-Encalada, Carol Elizabeth [3 ]
Perez-Burkhardt, Jose Luis [3 ]
机构
[1] Hosp Univ Canarias, Dept Neurosurg, Carretera Ofra S-N Cuesta,S-C De Tenerife, Santa Cruz De Tenerife 38320, Spain
[2] Hosp Univ Canarias, Dept Neurol, Santa Cruz De Tenerife, Spain
[3] Hosp Univ Canarias, Dept Gastroenterol, Santa Cruz De Tenerife, Spain
[4] Hosp Univ Canarias, Dept Vasc Surg, Santa Cruz De Tenerife, Spain
基金
英国科研创新办公室;
关键词
Carotid endarterectomy; Intraoperative neuromonitoring; Near infrared spectroscopy; Brain ischemia; NEAR-INFRARED SPECTROSCOPY; SOMATOSENSORY-EVOKED POTENTIALS; EEG CHANGES; PERIOPERATIVE STROKE; DIAGNOSTIC-ACCURACY; CEREBRAL OXIMETRY; ELECTROENCEPHALOGRAPHY; ISCHEMIA; ARTERY; CORRELATE;
D O I
10.1007/s10877-023-01114-1
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
BackgroundNeuromonitoring 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.PurposeTo determine the effectiveness of near infrared spectroscopy (NIRS) compared to multimodality intraoperative neuromonitoring (IONM) in indicating elective shunts and predicting postoperative neurological status.MethodsThis 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.ResultsNIRS 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%).ResultsNIRS 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%).ConclusionNIRS is inferior to multimodality IONM in detecting brain ischemia and predicting postoperative neurological status during CEA under general anesthesia.
引用
收藏
页码:631 / 638
页数:8
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