Literature DB >> 24183238

A longitudinal study of delirium phenomenology indicates widespread neural dysfunction.

Maeve Leonard1, Dimitrios Adamis2, Jean Saunders3, Paula Trzepacz4, David Meagher1.   

Abstract

OBJECTIVES: Delirium affects all higher cortical functions supporting complex information processing consistent with widespread neural network impairment. We evaluated the relative prominence of delirium symptoms throughout episodes to assess whether impaired consciousness is selectively affecting certain brain functions at different timepoints.
METHODS: Twice-weekly assessments of 100 consecutive patients with DSM-IV delirium in a palliative care unit used the Delirium Rating Scale Revised-98 (DRS-R98) and Cognitive Test for Delirium (CTD). A mixed-effects model was employed to estimate changes in severity of individual symptoms over time.
RESULTS: Mean age = 7 0.2 ± 10.5 years, 51% were male, and 27 had a comorbid dementia. A total of 323 assessments (range 2-9 per case) were conducted, but up to 6 are reported herein. Frequency and severity of individual DRS-R98 symptoms was very consistent over time even though the majority of patients (80%) experienced fluctuation in symptom severity over the course of hours or minutes. Over time, DRS-R98 items for attention (88-100%), sleep-wake cycle disturbance (90-100%), and any motor disturbance (87-100%), and CTD attention and vigilance were most frequently and consistently impaired. Mixed-effects regression modeling identified only very small magnitudes of change in individual symptoms over time, including the three core domains. SIGNIFICANCE OF
RESULTS: Attention is disproportionately impaired during the entire episode of delirium, consistent with thalamic dysfunction underlying both an impaired state of consciousness and well-known EEG slowing. All individual symptoms and three core domains remain relatively stable despite small fluctuations in symptom severity for a given day, which supports a consistent state of impaired higher cortical functions throughout an episode of delirium.

Entities:  

Keywords:  Core domains

Mesh:

Year:  2013        PMID: 24183238     DOI: 10.1017/S147895151300093X

Source DB:  PubMed          Journal:  Palliat Support Care        ISSN: 1478-9515


  5 in total

1.  Concordance between DSM-IV and DSM-5 criteria for delirium diagnosis in a pooled database of 768 prospectively evaluated patients using the delirium rating scale-revised-98.

Authors:  David J Meagher; Alessandro Morandi; Sharon K Inouye; Wes Ely; Dimitrios Adamis; Alasdair J Maclullich; James L Rudolph; Karin Neufeld; Maeve Leonard; Giuseppe Bellelli; Daniel Davis; Andrew Teodorczuk; Stefan Kreisel; Christine Thomas; Wolfgang Hasemann; Suzanne Timmons; Niamh O'Regan; Sandeep Grover; Faiza Jabbar; Walter Cullen; Colum Dunne; Barbara Kamholz; Barbara C Van Munster; Sophia E De Rooij; Jos De Jonghe; Paula T Trzepacz
Journal:  BMC Med       Date:  2014-09-30       Impact factor: 8.775

2.  Deciphering delirium through semantics: a selective synopsis.

Authors:  Orso Bugiani
Journal:  Neurol Sci       Date:  2020-04-25       Impact factor: 3.307

Review 3.  Antipsychotics for treatment of delirium in hospitalised non-ICU patients.

Authors:  Lisa Burry; Sangeeta Mehta; Marc M Perreault; Jay S Luxenberg; Najma Siddiqi; Brian Hutton; Dean A Fergusson; Chaim Bell; Louise Rose
Journal:  Cochrane Database Syst Rev       Date:  2018-06-18

4.  Why is delirium more frequent in the elderly?

Authors:  Orso Bugiani
Journal:  Neurol Sci       Date:  2021-05-24       Impact factor: 3.307

5.  Delirium Screening in Neurocritical Care and Stroke Unit Patients: A Pilot Study on the Influence of Neurological Deficits on CAM-ICU and ICDSC Outcome.

Authors:  Judith von Hofen-Hohloch; Carolin Awissus; Marie Michèle Fischer; Dominik Michalski; Jost-Julian Rumpf; Joseph Classen
Journal:  Neurocrit Care       Date:  2020-12       Impact factor: 3.210

  5 in total

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