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Plata-Bello J, Pérez-Lorensu PJ, Saponaro-González Á, Darias-Delbey B, Fariña-Jerónimo H, Domínguez-Lorenzo JM, Ucelay-Gómez R, González-Tabares EF, Ibrahim-Achi Z, Guerrero-Ramírez CS, Padrón-Encalada CE, Pérez-Burkhardt JL. Can NIRS be a surrogate indicator of elective shunt in carotid endarterectomy? A single-center observational retrospective study says no. J Clin Monit Comput 2024; 38:631-638. [PMID: 38064136 DOI: 10.1007/s10877-023-01114-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 11/23/2023] [Indexed: 06/11/2024]
Abstract
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.
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Affiliation(s)
- Julio Plata-Bello
- Department of Neurosurgery, Hospital Universitario de Canarias, Carretera Ofra s/n La Cuesta. CP 38320. La Laguna, S/C de Tenerife, Santa Cruz de Tenerife, Spain.
| | | | | | - Beneharo Darias-Delbey
- Department of Anesthesiology, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain
- Department of Vascular Surgery, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain
| | - Helga Fariña-Jerónimo
- Department of Neurosurgery, Hospital Universitario de Canarias, Carretera Ofra s/n La Cuesta. CP 38320. La Laguna, S/C de Tenerife, Santa Cruz de Tenerife, Spain
| | | | - Roberto Ucelay-Gómez
- Department of Anesthesiology, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain
| | | | - Zena Ibrahim-Achi
- Department of Anesthesiology, Hospital Universitario de Canarias, Santa Cruz de Tenerife, Spain
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Jain B, Rahim FO, Thirumala PD, McGarvey ML, Balzer J, Nogueira RG, van der Goes DN, de Havenon A, Sultan I, Ney J. Cost-benefit analysis of intraoperative neuromonitoring for cardiac surgery. J Stroke Cerebrovasc Dis 2024; 33:107576. [PMID: 38232584 DOI: 10.1016/j.jstrokecerebrovasdis.2024.107576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 12/25/2023] [Accepted: 01/11/2024] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND Intraoperative neuromonitoring (IONM) can detect large vessel occlusion (LVO) in real-time during surgery. The aim of this study was to conduct a cost-benefit analysis of utilizing IONM among patients undergoing cardiac surgery. METHODS A decision-analysis tree with terminal Markov nodes was constructed to model functional outcome, as measured via the modified Rankin Scale (mRS), among 65-year-old patients undergoing cardiac surgery. Our cost-benefit analysis compares the use of IONM (electroencephalography and somatosensory evoked potential) against no IONM in preventing neurological complications from perioperative LVO during cardiac surgery. The study was performed over a lifetime horizon from a societal perspective in the United States. Base case and one-way probabilistic sensitivity analyses were performed. RESULTS At a baseline LVO rate of 0.31%, the mean attributable lifetime expenditure for IONM-monitored cardiac surgeries relative to unmonitored cardiac surgeries was $1047.41 (95% CI, $742.12 - $1445.10). At a critical LVO rate of approximately 3.67%, the costs of both monitored and unmonitored cardiac surgeries were the same. Above this critical rate, implementing IONM became cost-saving. On one-way sensitivity analysis, variation in LVO rate from 0% - 10% caused lifetime costs attributable to receiving IONM to range from $1150.47 - $29404.61; variations in IONM cost, percentage of intervenable LVOs, IONM sensitivity, and mechanical thrombectomy cost exerted comparably minimal influence over lifetime costs. DISCUSSION We find considerable cost savings favoring the use of IONM under certain parameters corresponding to high-risk patients. This study will provide financial perspective to policymakers, clinicians, and patients alike on the appropriate use of IONM during cardiac surgery.
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Affiliation(s)
- Bhav Jain
- Stanford University School of Medicine, Stanford, CA, United States; Massachusetts Institute of Technology, Cambridge, MA, United States
| | | | - Parthasarathy D Thirumala
- Department of Neurological Surgery and Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Michael L McGarvey
- Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States
| | - Jeffrey Balzer
- Department of Neurological Surgery and Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - Raul G Nogueira
- Department of Neurological Surgery and Neurology, University of Pittsburgh Medical Center, Pittsburgh, PA, United States; UPMC Stroke Institute, Pittsburgh, PA, United States
| | - David N van der Goes
- Department of Economics, University of New Mexico, Albuquerque, NM, United States
| | - Adam de Havenon
- Department of Neurology, Yale University, New Haven, CT, United States
| | - Ibrahim Sultan
- Division of Cardiac Surgery, Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, PA, United States; Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - John Ney
- Department of Neurology, Boston University School of Medicine, Boston, MA, United States; West Haven VA Medical Center, West Haven, CT, United States.
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Roach J, Cha S. Monitoring During Vascular Surgery. Anesthesiol Clin 2022; 40:645-655. [PMID: 36328620 DOI: 10.1016/j.anclin.2022.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Vascular surgical patients present unique challenges for anesthesiologists, because of their medical vulnerabilities as well as their tendency for rapid intraoperative hemodynamic changes. Intraoperative monitors have been used for decades to reduce adverse outcomes, improve mortality, and create optimal surgical conditions. Understanding the indications and appropriate management of monitoring modalities is essential for optimizing patient care, and preventing harm associated with misinterpretation. We aim to review monitoring technologies used in complex vascular procedures, as well as the current guidelines, clinical trial outcomes, and basic mechanisms of each monitoring modality.
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Affiliation(s)
- Joshua Roach
- Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, 2440 North Berkshire Road, Charlottesville, VA 22901, USA.
| | - Stephanie Cha
- Department of Anesthesiology & Critical Care Medicine, Johns Hopkins University School of Medicine, 1800 Orleans Street, Suite 6216, Baltimore, MD 21287, USA
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Moehl K, Shandal V, Anetakis K, Paras S, Mina A, Crammond D, Balzer J, Thirumala PD. Predicting transient ischemic attack after carotid endarterectomy: The role of intraoperative neurophysiological monitoring. Clin Neurophysiol 2022; 141:1-8. [DOI: 10.1016/j.clinph.2022.06.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 05/17/2022] [Accepted: 06/07/2022] [Indexed: 11/16/2022]
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Paras S, Mina A, Crammond DJ, Visweswaran S, Anetakis KM, Balzer JR, Shandal V, Thirumala PD. Cardiovascular-related mortality after intraoperative neurophysiologic monitoring changes during carotid endarterectomy. Clin Neurophysiol 2022; 139:43-48. [DOI: 10.1016/j.clinph.2022.04.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 04/10/2022] [Accepted: 04/11/2022] [Indexed: 11/03/2022]
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Diagnostic Accuracy of SSEP Changes During Lumbar Spine Surgery for Predicting Postoperative Neurological Deficit: A Systematic Review and Meta-Analysis. Spine (Phila Pa 1976) 2021; 46:E1343-E1352. [PMID: 33958542 DOI: 10.1097/brs.0000000000004099] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN This study is a meta-analysis of prospective and retrospective studies identified in PubMed, Web of Science, and Embase with outcomes of patients who received intraoperative somatosensory-evoked potential (SSEP) monitoring during lumbar spine surgery. OBJECTIVE The objective of this study is to determine the diagnostic accuracy of intraoperative lower extremity SSEP changes for predicting postoperative neurological deficit. As a secondary analysis, we evaluated three subtypes of intraoperative SSEP changes: reversible, irreversible, and total signal loss. SUMMARY OF BACKGROUND DATA Lumbar decompression and fusion surgery can treat lumbar spinal stenosis and spondylolisthesis but carry a risk for nerve root injury. Published neurophysiological monitoring guidelines provide no conclusive evidence for the clinical utility of intraoperative SSEP monitoring during lumbar spine surgery. METHODS A systematic review was conducted to identify studies with outcomes of patients who underwent lumbar spine surgeries with intraoperative SSEP monitoring. The sensitivity, specificity, and diagnostic odds ratio (DOR) were calculated and presented with forest plots and a summary receiver operating characteristic curve. RESULTS The study cohort consisted of 5607 patients. All significant intraoperative SSEP changes had a sensitivity of 44% and specificity of 97% with a DOR of 22.13 (95% CI, 11.30-43.34). Reversible and irreversible SSEP changes had sensitivities of 28% and 33% and specificities of 97% and 97%, respectively. The DORs for reversible and irreversible SSEP changes were 13.93 (95% CI, 4.60-40.44) and 57.84 (95% CI, 15.95-209.84), respectively. Total loss of SSEPs had a sensitivity of 9% and specificity of 99% with a DOR of 23.91 (95% CI, 7.18-79.65). CONCLUSION SSEP changes during lumbar spine surgery are highly specific but moderately sensitive for new postoperative neurological deficits. Patients who had postoperative neurological deficit were 22 times more likely to have exhibited intraoperative SSEP changes.Level of Evidence: 2.
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Meta-Analysis of Perioperative Stroke and Mortality in CABG Patients With Carotid Stenosis. Neurologist 2020; 25:113-116. [DOI: 10.1097/nrl.0000000000000277] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Chang R, Reddy RP, Sudadi S, Balzer J, Crammond DJ, Anetakis K, Thirumala PD. Diagnostic accuracy of various EEG changes during carotid endarterectomy to detect 30-day perioperative stroke: A systematic review. Clin Neurophysiol 2020; 131:1508-1516. [DOI: 10.1016/j.clinph.2020.03.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 03/01/2020] [Accepted: 03/23/2020] [Indexed: 10/24/2022]
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Abstract
PURPOSE OF REVIEW This review overviews perioperative stroke as it pertains to specific surgical procedures. RECENT FINDINGS As awareness of perioperative stroke increases, so does the opportunity to potentially improve outcomes for these patients by early stroke recognition and intervention. Perioperative stroke is defined to be any stroke that occurs within 30 days of the initial surgical procedure. The incidence of perioperative stroke varies and is dependent on the specific type of surgery performed. This chapter overviews the risks, mechanisms, and acute evaluation and management of perioperative stroke in four surgical populations: cardiac surgery, carotid endarterectomy, neurosurgery, and non-cardiac/non-carotid/non-neurological surgeries.
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Affiliation(s)
- Megan C Leary
- Department of Neurology, Lehigh Valley Hospital and Health Network, 1250 S Cedar Crest Blvd, Suite 405, Allentown, PA, 18103-6224, USA. .,Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
| | - Preet Varade
- Department of Neurology, Lehigh Valley Hospital and Health Network, 1250 S Cedar Crest Blvd, Suite 405, Allentown, PA, 18103-6224, USA.,Morsani College of Medicine, University of South Florida, Tampa, FL, USA
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Al-Hader R, Al-Robaidi K, Jovin T, Jadhav A, Wechsler LR, Thirumala PD. The Incidence of Perioperative Stroke: Estimate Using State and National Databases and Systematic Review. J Stroke 2019; 21:290-301. [PMID: 31590473 PMCID: PMC6780011 DOI: 10.5853/jos.2019.00304] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 08/22/2019] [Indexed: 12/16/2022] Open
Abstract
Background and Purpose Perioperative stroke remains a devastating complication after surgical procedures, due to hemodynamic and inflammatory changes that increase the risk of strokes within 30 days following surgery. We aimed to assess the incidence of perioperative strokes in patients undergoing various surgical procedures and reach a national estimate.
Methods A retrospective cohort study was conducted using California State Inpatient Databases, State Emergency Department Databases, State Ambulatory Surgery and Services Databases, and the National Inpatient Sample (NIS) during the period 2008 to 2011 from the Healthcare Cost and Utilization Project. A systematic review was conducted using PubMed, Embase, and Web of Science databases to obtain published articles that reported the incidence of perioperative stroke in various surgical procedures.
Results Analysis of 3,694,410 surgical encounters from the state of California (mean±standard deviation age: 52.4±21.1 years) yielded an overall rate of perioperative stroke of 0.32% (n=11,759). The incidence of perioperative strokes was highest following neurological (1.25%), vascular (1.07%), and cardiac (0.98%) surgeries. The NIS database contained a total of 48,672,974 weighted hospitalizations and yielded a rate of perioperative stroke of 0.42% (n=204,549). The systematic review completed yielded 187 articles, which had an overall sample size of 184,922 and an incidence of perioperative stroke ranging from 0% to 13.86%. It is estimated that in any given year, there would be approximately 40,000 to 55,000 (0.33% to 0.46%) perioperative strokes nationally.
Conclusions Our findings support further strategies to identify and stratify patients undergoing surgical procedures with a high incidence of perioperative strokes to improve patient counseling and a future potential treatment plan.
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Affiliation(s)
- Rami Al-Hader
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.,University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Khalid Al-Robaidi
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.,University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Tudor Jovin
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashutosh Jadhav
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lawrence R Wechsler
- University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Parthasarathy D Thirumala
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA, USA.,University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.,Department of Neurology, University of Pittsburgh, Pittsburgh, PA, USA
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Abstract
This review provides a summary of the literature pertaining to the perioperative care of neurosurgical patients and patients with neurological diseases. General topics addressed in this review include general neurosurgical considerations, stroke, traumatic brain injury, neuromonitoring, neurotoxicity, and perioperative disorders of cognitive function.
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