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  • Cited by 4
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    This article has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Curyto, Kim J. Johnson, Jerry TenHave, Thomas Mossey, Jana Knott, Kathryn and Katz, Ira R. 2001. Survival of Hospitalized Elderly Patients With Delirium: A Prospective Study. The American Journal of Geriatric Psychiatry, Vol. 9, Issue. 2, p. 141.


    Katz, Ira R. Curyto, Kim J. TenHave, Thomas Mossey, Jana Sands, Laura and Kallan, Michael J. 2001. Validating the Diagnosis of Delirium and Evaluating its Association With Deterioration Over a One-Year Period. The American Journal of Geriatric Psychiatry, Vol. 9, Issue. 2, p. 148.


    Katz, Ira R. Sands, Laura P. DiFilippo, Suzanne D'Angelo, Kristina and Harner, Richard 1995. Use of Prediction Intervals to Characterize Electroencephalographic Changes Caused by Diphenhydramine. The American Journal of Geriatric Psychiatry, Vol. 3, Issue. 3, p. 206.


    Breuil, V�ronique De Rotrou, Jocelyne Forette, Fran�oise Tortrat, Daniele Ganansia-Ganem, Annie Frambourt, Anne Moulin, Florence and Boller, Fra?cois 1994. Cognitive stimulation of patients with dementia: Preliminary results. International Journal of Geriatric Psychiatry, Vol. 9, Issue. 3, p. 211.


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Bedside Clinical and Electrophysiological Assessment: Assessment of Change in Vulnerable Patients

  • Ira R. Katz (a1), Jana Mossey (a2), Neal Sussman (a2), Larry Muenz (a3), Richard Harner (a2), Sharon M. Curlik (a1) (a2) and Laura P. Sands (a2)
  • DOI: http://dx.doi.org/10.1017/S104161029100073X
  • Published online: 01 December 1991
Abstract

Current approaches to the diagnosis of delirium are based upon the recognition of symptoms that emerge in the pathological state. As an alternative, we propose an approach to case identification for research purposes based on the recognition of significant changes in the cognitive or cerebral state of the individual patient. Categorical change can be defined using prediction intervals calculated from repeated measures on a population of medically stable subjects. Data from subjects enrolled in a prospective study of delirium in a long-term care population were utilized to calculate prediction intervals for the Mini-Mental Status Examination and for measures of the electroencephalographic background frequency as obtained with a two-channel microprocessor-based EEG device. Preliminary findings support the validity of this quantitative approach for defining changes in brain state. Future research should evaluate both cognitive and electrophysiological techniques for monitoring vulnerable patients.

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International Psychogeriatrics
  • ISSN: 1041-6102
  • EISSN: 1741-203X
  • URL: /core/journals/international-psychogeriatrics
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