Delirium other diagnostic studies: Difference between revisions
(→EEG) |
(→EEG) |
||
Line 15: | Line 15: | ||
*[[Conditions]] that can be identified on [[EEG]] e.g. | *[[Conditions]] that can be identified on [[EEG]] e.g. | ||
*[[ metabolic encephalopathy]] or [[infectious encephalitis]] | *[[ metabolic encephalopathy]] or [[infectious encephalitis]] | ||
*Focal intracranial lesion, or it's a global abnormality. | *Focal [[intracranial]] lesion, or it's a global abnormality. | ||
As exact [[EEG]] changes in delirium are yet to be identified, EEG is not used to diagnose delirium. Identification of the most informative electrode, and use of fewer electrodes will increase the usefulness of [[EEG]] in delirium. Continuous [[EEG]] monitoring has proven to be a feasible approach in the management of [[Epilepsy]], therefore [[EEG]] beholds a great potential to improve detection rates of delirium. | *As exact [[EEG]] changes in [[delirium]] are yet to be identified, [[EEG]] is not used to diagnose [[delirium]]. * * *Identification of the most informative electrode, and use of fewer [[electrodes]] will increase the usefulness of [[EEG]] in delirium. | ||
* Continuous [[EEG]] monitoring has proven to be a feasible approach in the management of [[Epilepsy]], therefore [[EEG]] beholds a great potential to improve detection rates of [[delirium]]. | |||
* [[EEG]] changes in [[delirium]] are most prominent in the posterior regions. | |||
*[[Delirium]] shows slowing of background activity, however, slowing of background activity is also observed in deep sleep and dementia. [[EEG]] recording of sleep shows K complexes and sleep-spindles whereas [[EEG]] recorded with eyes open (active [[EEG]]) in delirium have the relative power in the delta and the upper half of the alpha frequency band significantly different from dementia. These differences can be exploited to differentiate delirium from sleep and [[dementia]]. | |||
There are many practical limitations of [[EEG]] studies in delirium. The exact effects of drugs like [[haloperidol]] on [[EEG]] are unknown, this poses a problem to study [[EEG]] characteristics of delirium, as [[haloperidol]] is the most widely used medicines in the management of delirium. Also, because of the very fluctuating nature of delirium, many studies suffer from time gap between diagnosis of delirium and [[EEG]] recordings. | There are many practical limitations of [[EEG]] studies in delirium. The exact effects of drugs like [[haloperidol]] on [[EEG]] are unknown, this poses a problem to study [[EEG]] characteristics of delirium, as [[haloperidol]] is the most widely used medicines in the management of delirium. Also, because of the very fluctuating nature of delirium, many studies suffer from time gap between diagnosis of delirium and [[EEG]] recordings. | ||
Most studies have noticed difference in the relative power of the theta frequency in delirium and non-delirium patients. However, some studies have found this relative difference in theta frequency was restricted to the lower part and these studies failed to observe any difference in the higher part of the theta frequency. One study observed an increase in the relative power of the theta and a decline in the relative power of the alpha frequency band, but this phenomenon seen to be absent when Parkinson is a co-morbid condition to delirium. More work needs to be done on the theta, alpha and delta waves as many studies have disputed given findings. Delirium can also be identified from non delirium states by the following characteristics, as delirium shows an increase in the relative power of the delta frequency band, a decreased in the peak frequency and significantly decreased bispectral index (BIS).<ref>{{Cite web | last = | first = | title = What are the opportunities f... [J Neuropsychiatry Clin Neurosci. 2012] - PubMed - NCBI | url = http://www.ncbi.nlm.nih.gov/pubmed/23224454 | publisher = | date = | accessdate = }}</ref> | Most studies have noticed difference in the relative power of the theta frequency in delirium and non-delirium patients. However, some studies have found this relative difference in theta frequency was restricted to the lower part and these studies failed to observe any difference in the higher part of the theta frequency. One study observed an increase in the relative power of the theta and a decline in the relative power of the alpha frequency band, but this phenomenon seen to be absent when Parkinson is a co-morbid condition to delirium. More work needs to be done on the theta, alpha and delta waves as many studies have disputed given findings. Delirium can also be identified from non delirium states by the following characteristics, as delirium shows an increase in the relative power of the delta frequency band, a decreased in the peak frequency and significantly decreased bispectral index (BIS).<ref>{{Cite web | last = | first = | title = What are the opportunities f... [J Neuropsychiatry Clin Neurosci. 2012] - PubMed - NCBI | url = http://www.ncbi.nlm.nih.gov/pubmed/23224454 | publisher = | date = | accessdate = }}</ref> |
Revision as of 06:43, 14 April 2021
Delirium Microchapters |
Diagnosis |
---|
Treatment |
Delirium On the Web |
American Roentgen Ray Society Images of Delirium |
Editor-In-Chief: C. Michael Gibson, M.S., M.D. [1]; Associate Editor(s)-in-Chief: Pratik Bahekar, MBBS [2]; Vishal Khurana, M.B.B.S., M.D. [3]
Overview
EEG and Lumbar puncture can be utilized in the management of delirium, however they are not always indicated.
Other Diagnostic Studies
- EEG
- Lumbar Puncture
EEG
- EEG shows diffuse slowing.
- EEG is useful to differentiate delirium from following conditions:
- Dementia
- Non‑convulsive status epilepticus and temporal lobe epilepsy
- Conditions that can be identified on EEG e.g.
- metabolic encephalopathy or infectious encephalitis
- Focal intracranial lesion, or it's a global abnormality.
- As exact EEG changes in delirium are yet to be identified, EEG is not used to diagnose delirium. * * *Identification of the most informative electrode, and use of fewer electrodes will increase the usefulness of EEG in delirium.
- Continuous EEG monitoring has proven to be a feasible approach in the management of Epilepsy, therefore EEG beholds a great potential to improve detection rates of delirium.
- EEG changes in delirium are most prominent in the posterior regions.
- Delirium shows slowing of background activity, however, slowing of background activity is also observed in deep sleep and dementia. EEG recording of sleep shows K complexes and sleep-spindles whereas EEG recorded with eyes open (active EEG) in delirium have the relative power in the delta and the upper half of the alpha frequency band significantly different from dementia. These differences can be exploited to differentiate delirium from sleep and dementia.
There are many practical limitations of EEG studies in delirium. The exact effects of drugs like haloperidol on EEG are unknown, this poses a problem to study EEG characteristics of delirium, as haloperidol is the most widely used medicines in the management of delirium. Also, because of the very fluctuating nature of delirium, many studies suffer from time gap between diagnosis of delirium and EEG recordings. Most studies have noticed difference in the relative power of the theta frequency in delirium and non-delirium patients. However, some studies have found this relative difference in theta frequency was restricted to the lower part and these studies failed to observe any difference in the higher part of the theta frequency. One study observed an increase in the relative power of the theta and a decline in the relative power of the alpha frequency band, but this phenomenon seen to be absent when Parkinson is a co-morbid condition to delirium. More work needs to be done on the theta, alpha and delta waves as many studies have disputed given findings. Delirium can also be identified from non delirium states by the following characteristics, as delirium shows an increase in the relative power of the delta frequency band, a decreased in the peak frequency and significantly decreased bispectral index (BIS).[1]
Neurophysiology
Electroencephalography (EEG) is an attractive mode of study in delirium as it has the ability to capture measures of global brain function. There are also opportunities to summarise temporal fluctuations as continuous recordings, compressed into power spectra (quantitative EEG, qEEG). Since the work of Engel and Romano in the 1950s, delirium has been known to be associated with a generalised slowing of background activity.[2]
A systematic review identified 14 studies for inclusion, representing a range of different populations: 6 in older populations, 3 in ICU, sample sizes between 10 and 50).[3] For most studies, the outcome of interest was the relative power measures, in order: alpha, theta, delta frequencies. The relative power of the theta frequency was consistently different between delirium and non-delirium patients. Similar findings were reported for alpha frequencies. In two studies, the relative power of all these bands was different within patients before and after delirium.
Lumbar puncture
Routine LP does not provide any benefit in management of delirium. However,it's helpful in suspected meningitis, i.e. delirium with
References
- ↑ "What are the opportunities f... [J Neuropsychiatry Clin Neurosci. 2012] - PubMed - NCBI".
- ↑ Engel, GL (2004 Fall). "Delirium, a syndrome of cerebral insufficiency. 1959". The Journal of neuropsychiatry and clinical neurosciences. 16 (4): 526–38. doi:10.1176/appi.neuropsych.16.4.526. PMID 15616182. Unknown parameter
|coauthors=
ignored (help); Check date values in:|date=
(help) - ↑ van der Kooi, AW (2012 Fall). "What are the opportunities for EEG-based monitoring of delirium in the ICU?". The Journal of neuropsychiatry and clinical neurosciences. 24 (4): 472–7. doi:10.1176/appi.neuropsych.11110347. PMID 23224454. Unknown parameter
|coauthors=
ignored (help); Check date values in:|date=
(help) - ↑ "http://www.bgs.org.uk/Word%20Downloads/delirium.doc". External link in
|title=
(help)