Literature DB >> 16167222

Cerebral monitoring in the operating room and the intensive care unit: an introductory for the clinician and a guide for the novice wanting to open a window to the brain. Part I: The electroencephalogram.

Enno Freye1, Joseph V Levy.   

Abstract

While there is an increasing body of knowledge in regard to central nervous system function and/or the mode of action of centrally active agents on neuronal function, little is done to develop new techniques on how to measure such changes. Also, monitoring of the cardiovascular system in the past has made extensive progress especially when it comes to evaluate the failing heart. In contrast monitoring of the central nervous system is only done in rare cases where operative procedures likely impede nervous function integrity. Since in the past decade the aging population undergoing operation has rise considerably, the risk of cerebral malperfusion or minute signs of degradation of the aging central nervous system (CNS) to anesthetics and agents being used in the operation room (OR) or the intensive care unit (ICU), needs continuous monitoring of an organ which presents the highest vulnerability and is likely to deteriorate faster than the cardiovascular system. In spite the rapid improvement in technology regarding the electroencephalogram (EEG) and evoked potential monitoring, physicians still are reluctant to use a technology on a routine base, which will give them insight information into brain function and activity. Such "windows to the brain" now not just are reserved to specialists working in the area of neurology and/or psychiatry. More so, cerebral monitoring is getting an integrated part in the overall therapy in patients undergoing operation or who need ventilatory support in the ICU as it effects the well-being and the outcome. The present book therefore, is intended for the practitioners who work with the patient, guide the clinician in his decision making and outlining those situations where cerebral monitoring presents an integrated part in the diagnosis and therapy of patient care. Without going too much into the technical details, representative cases underline the potential use of cerebral monitoring in the underlying clinical situation where either the patient presents borderline perfusion of the CNS, undergoes vascular surgery, or where monitoring of cerebral function in the intensive care in a head trauma patients is an integrated part in therapy. The book therefore is meant for all those clinicians who have to deal with the CNS in a day-to-day situation. This may be the anesthesiologist, the surgeon, the intensive care therapist, the nurse anesthetist as well as all other medical personal involved in intensive care therapy. The aim of the book therefore is to outline the possibilities, the limitations, and the options for therapy when the windows to the brain are opened, how to interpret the data in the light of other physiological parameters and aid the user in the technical details of how to avoid artifacts in recording which may have an impact on final decision making. Therefore, emphasis is placed on the electrode placement, artifact and electrical noise reduction, as well as data interpretation so that cerebral function diagnosis can be made on reliable grounds. The following serves as an introduction to and as a reference guide for Cerebral Monitoring in the OR and the ICU: Gives complete coverage of EEG power spectra analysis. Describes in detail the EEG machines available to be used in the OR and ICU setting. Describes in detail the major features of EEG power spectra and evoked potential measurements, including amplifiers, filter setting and microprocessor algorithm for data reduction. Gives suggestions for assessing and improving signal quality, including noise and artifact rejection, which usually are encountered in the operation room and the intensive care unit, both of which can be considered as electrically contaminated. Gives examples of EEG power spectra and evoked potential monitoring related to different types of anesthesia, in coma, after head trauma, and for the detection of ischemic events. In addition, gives complete coverage of those machines being available for the OR and the ICU, including a list of parameters regarding latency and amplitude in evoked potential As an introductory, recommendations are given for the novice to start cerebral monitoring and guide the beginner in setting up cerebral monitoring in the clinical environment.

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Year:  2005        PMID: 16167222     DOI: 10.1007/s10877-005-0712-z

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  85 in total

1.  Narcotrend and Bispectral Index monitor are superior to classic electroencephalographic parameters for the assessment of anesthetic states during propofol-remifentanil anesthesia.

Authors:  Gunter N Schmidt; Petra Bischoff; Thomas Standl; Kai Jensen; Moritz Voigt; Jochen Schulte Am Esch
Journal:  Anesthesiology       Date:  2003-11       Impact factor: 7.892

2.  Entropy during propofol hypnosis, including an episode of wakefulness.

Authors:  R E Anderson; G Barr; A Owall; Jan Jakobsson
Journal:  Anaesthesia       Date:  2004-01       Impact factor: 6.955

3.  The electroencephalographic pattern during anesthesia with ethrane: effects of depth of anesthesia, PaCo2, and nitrous oxide.

Authors:  J L Neigh; J K Garman; J R Harp
Journal:  Anesthesiology       Date:  1971-11       Impact factor: 7.892

4.  Etomidate: a clinical and electroencephalographic comparison with thiopental.

Authors:  M M Ghoneim; T Yamada
Journal:  Anesth Analg       Date:  1977 Jul-Aug       Impact factor: 5.108

5.  Cardiovascular effects on selective perfusion of the fourth cerebral ventricle in cats with fentanyl, naloxone & methohexital.

Authors:  E Freye; B N Gupta
Journal:  Indian J Exp Biol       Date:  1980-01       Impact factor: 0.818

6.  A multicenter study of bispectral electroencephalogram analysis for monitoring anesthetic effect.

Authors:  P S Sebel; E Lang; I J Rampil; P F White; R Cork; M Jopling; N T Smith; P S Glass; P Manberg
Journal:  Anesth Analg       Date:  1997-04       Impact factor: 5.108

7.  Benefits, shortcomings, and costs of EEG monitoring.

Authors:  R M Green; W J Messick; J J Ricotta; M H Charlton; R Satran; M M McBride; J A DeWeese
Journal:  Ann Surg       Date:  1985-06       Impact factor: 12.969

Review 8.  Guidelines for carotid endarterectomy. A multidisciplinary consensus statement from the ad hoc Committee, American Heart Association.

Authors:  W S Moore; H J Barnett; H G Beebe; E F Bernstein; B J Brener; T Brott; L R Caplan; A Day; J Goldstone; R W Hobson
Journal:  Stroke       Date:  1995-01       Impact factor: 7.914

9.  Bispectral index monitoring quantifies depth of sedation during emergency department procedural sedation and analgesia in children.

Authors:  Dewesh Agrawal; Henry A Feldman; Baruch Krauss; Mark L Waltzman
Journal:  Ann Emerg Med       Date:  2004-02       Impact factor: 5.721

10.  Limitations of electroencephalographic monitoring in the detection of cerebral ischemia accompanying carotid endarterectomy.

Authors:  T F Kresowik; M J Worsey; M D Khoury; L S Krain; A R Shamma; W J Sharp; J A Stern; J D Corson
Journal:  J Vasc Surg       Date:  1991-03       Impact factor: 4.268

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  11 in total

Review 1.  Using EEG to monitor anesthesia drug effects during surgery.

Authors:  Leslie C Jameson; Tod B Sloan
Journal:  J Clin Monit Comput       Date:  2006-12       Impact factor: 2.502

2.  Guidelines for intraoperative neuromonitoring using raw (analog or digital waveforms) and quantitative electroencephalography: a position statement by the American Society of Neurophysiological Monitoring.

Authors:  Michael R Isley; Harvey L Edmonds; Mark Stecker
Journal:  J Clin Monit Comput       Date:  2009-09-16       Impact factor: 2.502

3.  Comparison of spectral entropy and BIS VISTA™ monitor during general anesthesia for cardiac surgery.

Authors:  Tadeusz Musialowicz; Pasi Lahtinen; Otto Pitkänen; Jouni Kurola; Ilkka Parviainen
Journal:  J Clin Monit Comput       Date:  2011-04-22       Impact factor: 2.502

4.  Peak and averaged bicoherence for different EEG patterns during general anaesthesia.

Authors:  Stacey Pritchett; Eugene Zilberg; Zheng Ming Xu; Paul Myles; Ian Brown; David Burton
Journal:  Biomed Eng Online       Date:  2010-11-20       Impact factor: 2.819

5.  Non-linear Analysis of Scalp EEG by Using Bispectra: The Effect of the Reference Choice.

Authors:  Federico Chella; Antea D'Andrea; Alessio Basti; Vittorio Pizzella; Laura Marzetti
Journal:  Front Neurosci       Date:  2017-05-16       Impact factor: 4.677

6.  Entropy is more resistant to artifacts than bispectral index in brain-dead organ donors.

Authors:  Johanna Wennervirta; Tapani Salmi; Markku Hynynen; Arvi Yli-Hankala; Anna-Maria Koivusalo; Mark Van Gils; Reino Pöyhiä; Anne Vakkuri
Journal:  Intensive Care Med       Date:  2006-11-08       Impact factor: 17.440

Review 7.  Multiparametric Monitoring of Hypnosis and Nociception-Antinociception Balance during General Anesthesia-A New Era in Patient Safety Standards and Healthcare Management.

Authors:  Alexandru Florin Rogobete; Ovidiu Horea Bedreag; Marius Papurica; Sonia Elena Popovici; Lavinia Melania Bratu; Andreea Rata; Claudiu Rafael Barsac; Andra Maghiar; Dragos Nicolae Garofil; Mihai Negrea; Laura Bostangiu Petcu; Daiana Toma; Corina Maria Dumbuleu; Samir Rimawi; Dorel Sandesc
Journal:  Medicina (Kaunas)       Date:  2021-02-02       Impact factor: 2.430

8.  Comparative evaluation of the bispectral index (BIS) and BISpro during propofol anaesthesia.

Authors:  Zhitao Li; Jiachun Cai; Jiexiong Li; Xianghui Xu; Limin Zheng
Journal:  J Int Med Res       Date:  2021-04       Impact factor: 1.671

9.  Quasi-stationarity of EEG for intraoperative monitoring during spinal surgeries.

Authors:  Krishnatej Vedala; S M Amin Motahari; Mohammed Goryawala; Mercedes Cabrerizo; Ilker Yaylali; Malek Adjouadi
Journal:  ScientificWorldJournal       Date:  2014-02-17

10.  Applying the Bispectral Analysis on Widespread Diffuse Cross-Frequency Interactive Effects.

Authors:  Chia-Ju Liu; Cheng-Hsieh Yu; Chin-Fei Huang; Ray-Ying Huang; Chung-Jung Wang; Yi-Shan Liu; Tsung-Ching Chen; Ming-Chung Ho
Journal:  J Med Eng       Date:  2013-12-10
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