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Yuan I, Bong CL, Chao JY. Intraoperative pediatric electroencephalography monitoring: an updated review. Korean J Anesthesiol 2024; 77:289-305. [PMID: 38228393 DOI: 10.4097/kja.23843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 01/16/2024] [Indexed: 01/18/2024] Open
Abstract
Intraoperative electroencephalography (EEG) monitoring under pediatric anesthesia has begun to attract increasing interest, driven by the availability of pediatric-specific EEG monitors and the realization that traditional dosing methods based on patient movement or changes in hemodynamic response often lead to imprecise dosing, especially in younger infants who may experience adverse events (e.g., hypotension) due to excess anesthesia. EEG directly measures the effects of anesthetics on the brain, which is the target end-organ responsible for inducing loss of consciousness. Over the past ten years, research on anesthesia and computational neuroscience has improved our understanding of intraoperative pediatric EEG monitoring and expanded the utility of EEG in clinical practice. We now have better insights into neurodevelopmental changes in the developing pediatric brain, functional connectivity, the use of non-proprietary EEG parameters to guide anesthetic dosing, epileptiform EEG changes during induction, EEG changes from spinal/regional anesthesia, EEG discontinuity, and the use of EEG to improve clinical outcomes. This review article summarizes the recent literature on EEG monitoring in perioperative pediatric anesthesia, highlighting several of the topics mentioned above.
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Affiliation(s)
- Ian Yuan
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Choon L Bong
- Department of Pediatric Anesthesia, KK Women's and Children's Hospital, Duke-NUS Medical School, Singapore
| | - Jerry Y Chao
- Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
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2
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Chao JY, Simpao AF, Yuan I. A Window into the Developing Brain: Toward a Deeper Understanding of Pediatric Anesthesia. Anesthesiology 2024; 140:863-864. [PMID: 38592355 PMCID: PMC11006386 DOI: 10.1097/aln.0000000000004937] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Affiliation(s)
- Jerry Y Chao
- Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York
| | - Allan F Simpao
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Ian Yuan
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania; Department of Anesthesiology and Critical Care, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
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Madariaga S, Devia C, Penna A, Egaña JI, Lucero V, Ramírez S, Maldonado F, Ganga M, Valls N, Villablanca N, Stamm T, Purdon PL, Gutiérrez R. Effect of Repeated Exposure to Sevoflurane on Electroencephalographic Alpha Oscillation in Pediatric Patients Undergoing Radiation Therapy: A Prospective Observational Study. J Neurosurg Anesthesiol 2024; 36:125-133. [PMID: 37965706 DOI: 10.1097/ana.0000000000000938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 08/25/2023] [Indexed: 11/16/2023]
Abstract
BACKGROUND Pharmacological tolerance is defined as a decrease in the effect of a drug over time, or the need to increase the dose to achieve the same effect. It has not been established whether repeated exposure to sevoflurane induces tolerance in children. METHODS We conducted an observational study in children younger than 6 years of age scheduled for multiple radiotherapy sessions with sevoflurane anesthesia. To evaluate the development of sevoflurane tolerance, we analyzed changes in electroencephalographic spectral power at induction, across sessions. We fitted individual and group-level linear regression models to evaluate the correlation between the outcomes and sessions. In addition, a linear mixed-effect model was used to evaluate the association between radiotherapy sessions and outcomes. RESULTS Eighteen children were included and the median number of radiotherapy sessions per child was 28 (interquartile range: 10 to 33). There was no correlation between induction time and radiotherapy sessions. At the group level, the linear mixed-effect model showed, in a subgroup of patients, that alpha relative power and spectral edge frequency 95 were inversely correlated with the number of anesthesia sessions. Nonetheless, this subgroup did not differ from the other subjects in terms of age, sex, or the total number of radiotherapy sessions. CONCLUSIONS Our results suggest that children undergoing repeated anesthesia exposure for radiotherapy do not develop tolerance to sevoflurane. However, we found that a group of patients exhibited a reduction in the alpha relative power as a function of anesthetic exposure. These results may have implications that justify further studies.
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Affiliation(s)
- Samuel Madariaga
- Centro Nacional de Inteligencia Artificial (CENIA) Chile
- Department of Neuroscience
| | - Christ Devia
- Centro Nacional de Inteligencia Artificial (CENIA) Chile
- Department of Neuroscience
| | - Antonello Penna
- Centro de Investigación Clínica Avanzada (CICA), Faculty of Medicine, University of Chile
- Department of Anesthesiology and Perioperative Medicine, University of Chile
| | - José I Egaña
- Centro Nacional de Inteligencia Artificial (CENIA) Chile
- Department of Anesthesiology and Perioperative Medicine, University of Chile
| | | | | | - Felipe Maldonado
- Department of Anesthesiology and Perioperative Medicine, University of Chile
| | | | | | | | - Tomás Stamm
- Department of Anesthesia, National Cancer Institute
| | - Patrick L Purdon
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Rodrigo Gutiérrez
- Centro de Investigación Clínica Avanzada (CICA), Faculty of Medicine, University of Chile
- Department of Anesthesiology and Perioperative Medicine, University of Chile
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
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4
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Harandi AA, McPherson K, Lo Y, Gutiérrez R, Chao JY. A pragmatic methodology to extract anesthetic and physiological data from the electronic health record. Paediatr Anaesth 2024; 34:318-323. [PMID: 38055618 PMCID: PMC10922302 DOI: 10.1111/pan.14817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/03/2023] [Accepted: 11/19/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND/AIMS Traditional manual methods of extracting anesthetic and physiological data from the electronic health record rely upon visual transcription by a human analyst that can be labor-intensive and prone to error. Technical complexity, relative inexperience in computer coding, and decreased access to data warehouses can deter investigators from obtaining valuable electronic health record data for research studies, especially in under-resourced settings. We therefore aimed to develop, pilot, and demonstrate the effectiveness and utility of a pragmatic data extraction methodology. METHODS Expired sevoflurane concentration data from the electronic health record transcribed by eye was compared to an intermediate preprocessing method in which the entire anesthetic flowsheet narrative report was selected, copy-pasted, and processed using only Microsoft Word and Excel software to generate a comma-delimited (.csv) file. A step-by-step presentation of this method is presented. Concordance rates, Pearson correlation coefficients, and scatterplots with lines of best fit were used to compare the two methods of data extraction. RESULTS A total of 1132 datapoints across eight subjects were analyzed, accounting for 18.9 h of anesthesia time. There was a high concordance rate of data extracted using the two methods (median concordance rate 100% range [96%, 100%]). The median time required to complete manual data extraction was significantly longer compared to the time required using the intermediate method (240 IQR [199, 482.5] seconds vs 92.5 IQR [69, 99] seconds, p = .01) and was linearly associated with the number of datapoints (rmanual = .97, p < .0001), whereas time required to complete data extraction using the intermediate approach was independent of the number of datapoints (rintermediate = -.02, p = .99). CONCLUSIONS We describe a pragmatic data extraction methodology that does not require additional software or coding skills intended to enhance the ease, speed, and accuracy of data collection that could assist in clinician investigator-initiated research and quality/process improvement projects.
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Affiliation(s)
- Arshia Aalami Harandi
- Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Katherine McPherson
- Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
- Albert Einstein College of Medicine, Bronx, New York, USA
| | - Yungtai Lo
- Department of Epidemiology & Population Health (Biostatistics), Albert Einstein College of Medicine, Bronx, New York, USA
| | - Rodrigo Gutiérrez
- Department of Anesthesiology and Perioperative Medicine, Center of Advanced Clinical Research, University of Chile, Santiago, Chile
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jerry Y. Chao
- Department of Anesthesiology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York, USA
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Wilkinson CL, Yankowitz L, Chao JY, Gutiérrez R, Rhoades JL, Shinnar S, Purdon PL, Nelson CA. Developmental trajectories of EEG aperiodic and periodic components: Implications for understanding thalamocortical development during infancy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.07.21.550114. [PMID: 37546863 PMCID: PMC10401947 DOI: 10.1101/2023.07.21.550114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
The development of neural circuits has long-lasting effects on brain function, yet our understanding of early circuit development in humans remains limited. Here, periodic EEG power features and aperiodic components were examined from longitudinal EEGs collected from 592 healthy 2-44 month-old infants, revealing age-dependent nonlinear changes suggestive of distinct milestones in early brain maturation. Consistent with the transient developmental progression of thalamocortical circuitry, we observe the presence and then absence of periodic alpha and high beta peaks across the three-year period, as well as the emergence of a low beta peak (12-20Hz) after six months of age. We present preliminary evidence that the emergence of the low beta peak is associated with higher thalamocortical-dependent, anesthesia-induced alpha coherence. Together, these findings suggest that early age-dependent changes in alpha and beta periodic peaks may reflect the state of thalamocortical network development.
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Affiliation(s)
- Carol L Wilkinson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, USA
| | - Lisa Yankowitz
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Jerry Y Chao
- Department of Anesthesiology, Montefiore Medical Center, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Rodrigo Gutiérrez
- Departamento de Anestesia y Medicina Perioperatoria, Hospital Clínico de la Universidad de Chile, Santiago, Chile
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Jeff L Rhoades
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
- Program in Neuroscience, Division of Medical Sciences, Graduate School of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Shlomo Shinnar
- The Saul R. Korey Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patrick L Purdon
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Charles A Nelson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, United States
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He Z, Zhang H, Xing Y, Liu J, Gao Y, Gu E, Zhang L, Chen L. Effect of raw electroencephalogram-guided anesthesia administration on postoperative outcomes in elderly patients undergoing abdominal major surgery: a randomized controlled trial. BMC Anesthesiol 2023; 23:337. [PMID: 37803259 PMCID: PMC10557275 DOI: 10.1186/s12871-023-02297-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 09/27/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND EEG monitoring techniques are receiving increasing clinical attention as a common method of reflecting the depth of sedation in the perioperative period. The influence of depth of sedation indices such as the bispectral index (BIS) generated by the processed electroencephalogram (pEEG) machine to guide the management of anesthetic depth of sedation on postoperative outcome remains controversial. This research was designed to decide whether an anesthetic agent exposure determined by raw electroencephalogram (rEEG) can influence anesthetic management and cause different EEG patterns and affect various patient outcomes. METHODS A total of 141 participants aged ≥ 60 years undergoing abdominal major surgery were randomized to rEEG-guided anesthesia or routine care group. The rEEG-guided anesthesia group had propofol titrated to keep the rEEG waveform at the C-D sedation depth during surgery, while in the routine care group the anesthetist was masked to the patient's rEEG waveform and guided the anesthetic management only through clinical experience. The primary outcome was the presence of postoperative complications, the secondary outcomes included intraoperative anesthetic management and different EEG patterns. RESULTS There were no statistically significant differences in the occurrence of postoperative respiratory, circulatory, neurological and gastrointestinal complications. Further EEG analysis revealed that lower frontal alpha power was significantly associated with a higher incidence of POD, and that rEEG-guidance not only reduced the duration of deeper anesthesia in patients with lower frontal alpha power, but also allowed patients with higher frontal alpha power to receive deeper and more appropriate depths of anesthesia than in the routine care group. CONCLUSIONS In elderly patients undergoing major abdominal surgery, rEEG-guided anesthesia did not reduce the incidence of postoperative respiratory, circulatory, neurological and gastrointestinal complications. rEEG-guided anesthesia management reduced the duration of intraoperative BS in patients and the duration of over-deep sedation in patients with lower frontal alpha waves under anesthesia, and there was a strong association between lower frontal alpha power under anesthesia and the development of POD. rEEG-guided anesthesia may improve the prognosis of patients with vulnerable brains by improving the early identification of frail elderly patients and providing them with a more effective individualized anesthetic managements.
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Affiliation(s)
- Ziqing He
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui Province, 230022, China
| | - Hao Zhang
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui Province, 230022, China
| | - Yahui Xing
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui Province, 230022, China
| | - Jia Liu
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui Province, 230022, China
| | - Yang Gao
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui Province, 230022, China
| | - Erwei Gu
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui Province, 230022, China
| | - Lei Zhang
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui Province, 230022, China
| | - Lijian Chen
- Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui Province, 230022, China.
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Wilkinson CL, Yankowitz L, Chao JY, Gutiérrez R, Rhoades JL, Shinnar S, Purdon PL, Nelson CA. Developmental trajectories of EEG aperiodic and periodic power: Implications for understanding the timing of thalamocortical development during infancy. RESEARCH SQUARE 2023:rs.3.rs-3215728. [PMID: 37790544 PMCID: PMC10543027 DOI: 10.21203/rs.3.rs-3215728/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
The development of neural circuits over the first years of life has long-lasting effects on brain function, yet our understanding of early circuit development in humans remains limited. Here, aperiodic and periodic EEG power features were examined from longitudinal EEGs collected from 592 healthy 2-44 month-old infants, revealing age-dependent nonlinear changes suggestive of distinct milestones in early brain maturation. Consistent with the transient developmental progression of thalamocortical circuitry, we observe the presence and then absence of periodic alpha and high beta peaks across the three-year period, as well as the emergence of a low beta peak (12-20Hz) after six months of age. We present preliminary evidence that the emergence of the low beta peak is associated with thalamocortical connectivity sufficient for anesthesia-induced alpha coherence. Together, these findings suggest that early age-dependent changes in alpha and beta periodic peaks may reflect the state of thalamocortical network development.
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Affiliation(s)
- Carol L Wilkinson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, USA
| | - Lisa Yankowitz
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
| | - Jerry Y Chao
- Department of Anesthesiology, Montefiore Medical Center, Children's Hospital at Montefiore, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Rodrigo Gutiérrez
- Centro de Investigación Clínica Avanzada, Hospital Clínico de la Universidad de Chile, Santiago, Chile
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Jeff L Rhoades
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
- Program in Neuroscience, Division of Medical Sciences, Graduate School of Arts and Sciences, Harvard University, Cambridge, MA, USA
| | - Shlomo Shinnar
- The Saul R. Korey Department of Neurology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Patrick L Purdon
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States
| | - Charles A Nelson
- Division of Developmental Medicine, Boston Children's Hospital, Boston, MA, United States
- Harvard Medical School, Boston, MA, USA
- Harvard Graduate School of Education, Cambridge, MA, United States
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Bong CL, Balanza GA, Khoo CEH, Tan JSK, Desel T, Purdon PL. A Narrative Review Illustrating the Clinical Utility of Electroencephalogram-Guided Anesthesia Care in Children. Anesth Analg 2023; 137:108-123. [PMID: 36729437 DOI: 10.1213/ane.0000000000006267] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
The major therapeutic end points of general anesthesia include hypnosis, amnesia, and immobility. There is a complex relationship between general anesthesia, responsiveness, hemodynamic stability, and reaction to noxious stimuli. This complexity is compounded in pediatric anesthesia, where clinicians manage children from a wide range of ages, developmental stages, and body sizes, with their concomitant differences in physiology and pharmacology. This renders anesthetic requirements difficult to predict based solely on a child's age, body weight, and vital signs. Electroencephalogram (EEG) monitoring provides a window into children's brain states and may be useful in guiding clinical anesthesia management. However, many clinicians are unfamiliar with EEG monitoring in children. Young children's EEGs differ substantially from those of older children and adults, and there is a lack of evidence-based guidance on how and when to use the EEG for anesthesia care in children. This narrative review begins by summarizing what is known about EEG monitoring in pediatric anesthesia care. A key knowledge gap in the literature relates to a lack of practical information illustrating the utility of the EEG in clinical management. To address this gap, this narrative review illustrates how the EEG spectrogram can be used to visualize, in real time, brain responses to anesthetic drugs in relation to hemodynamic stability, surgical stimulation, and other interventions such as cardiopulmonary bypass. This review discusses anesthetic management principles in a variety of clinical scenarios, including infants, children with altered conscious levels, children with atypical neurodevelopment, children with hemodynamic instability, children undergoing total intravenous anesthesia, and those undergoing cardiopulmonary bypass. Each scenario is accompanied by practical illustrations of how the EEG can be visualized to help titrate anesthetic dosage to avoid undersedation or oversedation when patients experience hypotension or other physiological challenges, when surgical stimulation increases, and when a child's anesthetic requirements are otherwise less predictable. Overall, this review illustrates how well-established clinical management principles in children can be significantly complemented by the addition of EEG monitoring, thus enabling personalized anesthesia care to enhance patient safety and experience.
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Affiliation(s)
- Choon Looi Bong
- From the Department of Pediatric Anesthesia, KK Women's and Children's Hospital, Duke-NUS Medical School, Singapore
| | - Gustavo A Balanza
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Charis Ern-Hui Khoo
- From the Department of Pediatric Anesthesia, KK Women's and Children's Hospital, Duke-NUS Medical School, Singapore
| | - Josephine Swee-Kim Tan
- From the Department of Pediatric Anesthesia, KK Women's and Children's Hospital, Duke-NUS Medical School, Singapore
| | - Tenzin Desel
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
| | - Patrick Lee Purdon
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts
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Rasulo FA, Hopkins P, Lobo FA, Pandin P, Matta B, Carozzi C, Romagnoli S, Absalom A, Badenes R, Bleck T, Caricato A, Claassen J, Denault A, Honorato C, Motta S, Meyfroidt G, Radtke FM, Ricci Z, Robba C, Taccone FS, Vespa P, Nardiello I, Lamperti M. Processed Electroencephalogram-Based Monitoring to Guide Sedation in Critically Ill Adult Patients: Recommendations from an International Expert Panel-Based Consensus. Neurocrit Care 2022; 38:296-311. [PMID: 35896766 PMCID: PMC10090014 DOI: 10.1007/s12028-022-01565-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 06/20/2022] [Indexed: 12/30/2022]
Abstract
BACKGROUND The use of processed electroencephalography (pEEG) for depth of sedation (DOS) monitoring is increasing in anesthesia; however, how to use of this type of monitoring for critical care adult patients within the intensive care unit (ICU) remains unclear. METHODS A multidisciplinary panel of international experts consisting of 21 clinicians involved in monitoring DOS in ICU patients was carefully selected on the basis of their expertise in neurocritical care and neuroanesthesiology. Panelists were assigned four domains (techniques for electroencephalography [EEG] monitoring, patient selection, use of the EEG monitors, competency, and training the principles of pEEG monitoring) from which a list of questions and statements was created to be addressed. A Delphi method based on iterative approach was used to produce the final statements. Statements were classified as highly appropriate or highly inappropriate (median rating ≥ 8), appropriate (median rating ≥ 7 but < 8), or uncertain (median rating < 7) and with a strong disagreement index (DI) (DI < 0.5) or weak DI (DI ≥ 0.5 but < 1) consensus. RESULTS According to the statements evaluated by the panel, frontal pEEG (which includes a continuous colored density spectrogram) has been considered adequate to monitor the level of sedation (strong consensus), and it is recommended by the panel that all sedated patients (paralyzed or nonparalyzed) unfit for clinical evaluation would benefit from DOS monitoring (strong consensus) after a specific training program has been performed by the ICU staff. To cover the gap between knowledge/rational and routine application, some barriers must be broken, including lack of knowledge, validation for prolonged sedation, standardization between monitors based on different EEG analysis algorithms, and economic issues. CONCLUSIONS Evidence on using DOS monitors in ICU is still scarce, and further research is required to better define the benefits of using pEEG. This consensus highlights that some critically ill patients may benefit from this type of neuromonitoring.
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Affiliation(s)
- Frank A Rasulo
- Department of Anesthesiology and Intensive Care, Spedali Civili Hospital, Brescia, Italy. .,Department of Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, Brescia, Italy.
| | - Philip Hopkins
- Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, UK
| | - Francisco A Lobo
- Institute of Anesthesiology, Cleveland Clinic, Abu Dhabi, United Arab Emirates
| | - Pierre Pandin
- Department of Anesthesia and Intensive Care, Erasme Hospital, Universitè Libre de Bruxelles, Brussels, Belgium
| | - Basil Matta
- Department of Anaesthesia and Intensive Care, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Carla Carozzi
- Department of Anesthesia and Intensive Care, Istituto Neurologico C. Besta, Milan, Italy
| | - Stefano Romagnoli
- Department of Anesthesia and Intensive Care, Careggi University Hospital, Florence, Italy
| | - Anthony Absalom
- Department of Anesthesiology, University Medical Center Groningen, Groningen, Netherlands
| | - Rafael Badenes
- Department of Anesthesia and Intensive Care, University of Valencia, Valencia, Spain
| | - Thomas Bleck
- Division of Stroke and Neurocritical Care, Department of Neurology, Northwestern University, Evanston, IL, USA
| | - Anselmo Caricato
- Department of Anesthesia and Intensive Care, Gemelli University Hospital, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Jan Claassen
- Department of Neurocritical Care, Columbia University Irving Medical Center, New York, NY, USA
| | - André Denault
- Critical Care Division, Montreal Heart Institute, Université de Montréal, Montreal, Canada
| | - Cristina Honorato
- Department of Anesthesiology and Critical Care, Universidad de Navarra, Pamplona, Spain
| | - Saba Motta
- Scientific Library, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy
| | - Geert Meyfroidt
- Department of Intensive Care, University Hospitals Leuven and Laboratory of Intensive Care Medicine, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Finn Michael Radtke
- Department of Anesthesiology IRS, Nykøbing F. Hospital, Nykøbing Falster, Denmark
| | - Zaccaria Ricci
- Department of Pediatric Anesthesia, Meyer University Hospital of Florence, University of Florence, Florence, Italy
| | - Chiara Robba
- Department of Anesthesia and Intensive Care, Policlinico San Martino and University of Genoa, Genoa, Italy
| | - Fabio S Taccone
- Department of Anesthesia and Intensive Care, Erasme Hospital, Universitè Libre de Bruxelles, Brussels, Belgium
| | - Paul Vespa
- Department of Neurosurgery and Neurocritical Care, Los Angeles Medical Center, Ronald Reagan University of California, Los Angeles, CA, USA
| | - Ida Nardiello
- Department of Anesthesiology and Intensive Care, Spedali Civili Hospital, Brescia, Italy
| | - Massimo Lamperti
- Institute of Anesthesiology, Cleveland Clinic, Abu Dhabi, United Arab Emirates
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