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      A Novel Approach to Monitoring Cognitive Adverse Events for Interventional Studies Involving Advanced Dementia Patients: Insights From the Electroconvulsive Therapy for Agitation in Dementia Study

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          Abstract

          Objective

          To develop an individualized method for detecting cognitive adverse events (CAEs) in the context of an ongoing trial of electroconvulsive therapy for refractory agitation and aggression for advanced dementia (ECT-AD study).

          Methods

          Literature search aimed at identifying (a) cognitive measures appropriate for patients with advanced dementia, (b) functional scales to use as a proxy for cognitive status in patients with floor effects on baseline cognitive testing, and (c) statistical approaches for defining a CAE, to develop CAEs monitoring plan specifically for the ECT-AD study.

          Results

          Using the Severe Impairment Battery-8 (SIB-8), baseline floor effects are defined as a score of ≤5/16. For patients without floor effects, a decline of ≥6 points is considered a CAE. For patients with floor effects, a decline of ≥30 points from baseline on the Barthel Index is considered a CAE. These values were derived using the standard deviation index (SDI) approach to measuring reliable change.

          Conclusions

          The proposed plan accounts for practical and statistical challenges in detecting CAEs in patients with advanced dementia. While this protocol was developed in the context of the ECT-AD study, the general approach can potentially be applied to other interventional neuropsychiatric studies that carry the risk of CAEs in patients with advanced dementia.

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          Most cited references20

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          Cornell Scale for Depression in Dementia.

          The Cornell Scale for Depression in Dementia is introduced. This is a 19-item clinician-administered instrument that uses information from interviews with both the patient and a nursing staff member, a method suitable for demented patients. The scale has high interrater reliability (kw = 0.67), internal consistency (coefficient alpha: 0.84), and sensitivity. Total Cornell Scale scores correlate (0.83) with depressive subtypes of various intensity classified according to Research Diagnostic Criteria.
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            • Abstract: found
            • Article: not found

            The Confusion Assessment Method: a systematic review of current usage.

            To examine the psychometric properties, adaptations, translations, and applications of the Confusion Assessment Method (CAM), a widely used instrument and diagnostic algorithm for identification of delirium. Systematic literature review. Not applicable. Electronic searches of PubMED, EMBASE, PsychINFO, CINAHL, Ageline, and Google Scholar, augmented by reviews of reference listings, were conducted to identify original English-language articles using the CAM from January 1, 1991, to December 31, 2006. Two reviewers independently abstracted key information from each article. Not applicable. Of 239 original articles, 10 (4%) were categorized as validation studies, 16 (7%) as adaptations, 12 (5%) as translations, and 222 (93%) as applications. Validation studies evaluated performance of the CAM against a reference standard. Results were combined across seven high-quality studies (N=1,071), demonstrating an overall sensitivity of 94% (95% confidence interval (CI)=91-97%) and specificity of 89% (95% CI=85-94%). The CAM has been adapted for use in the intensive care unit, emergency, and institutional settings and for scoring severity and subsyndromal delirium. The CAM has been translated into 10 languages where published articles are available. In application studies, CAM-rated delirium is most commonly used as a risk factor or outcome but also as an intervention or reference standard. The CAM has helped to improve identification of delirium in clinical and research settings. To optimize performance, the CAM should be scored based on observations made during formal cognitive testing, and training is recommended. Future action is needed to optimize use of the CAM and to improve the recognition and management of delirium.
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              Evidence-based indicators of neuropsychological change in the individual patient: relevant concepts and methods.

              Kevin Duff (2012)
              Repeated assessments are a relatively common occurrence in clinical neuropsychology. The current paper will review some of the relevant concepts (e.g., reliability, practice effects, alternate forms) and methods (e.g., reliable change index, standardized based regression) that are used in repeated neuropsychological evaluations. The focus will be on the understanding and application of these concepts and methods in the evaluation of the individual patient through examples. Finally, some future directions for assessing change will be described.
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                Author and article information

                Contributors
                Journal
                Journal of Geriatric Psychiatry and Neurology
                J Geriatr Psychiatry Neurol
                SAGE Publications
                0891-9887
                1552-5708
                May 2024
                October 17 2023
                May 2024
                : 37
                : 3
                : 234-241
                Affiliations
                [1 ]Department of Psychiatry, Tufts Medical Center, Boston, MA, USA
                [2 ]Department of Psychiatry, Tufts University School of Medicine, Boston, MA, USA
                [3 ]Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA
                [4 ]Geriatric Psychiatry Research Program, McLean Hospital, Belmont, MA, USA
                [5 ]Department of Psychiatry, Harvard Medical School, Boston, MA, USA
                [6 ]Department of Psychiatry and Behavioral Science, Emory University School of Medicine, Atlanta, GA, USA
                [7 ]Aging Brain Center, Hebrew Senior Life, Hinda and Arthur Marcus Institute for Aging Research, Boston, MA, USA
                [8 ]Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
                [9 ]Division of Psychology, Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, USA
                [10 ]Pine Rest Christian Mental Health Services, Grand Rapids, MI, USA
                [11 ]Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
                [12 ]Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA
                [13 ]Psychiatric Neurotherapeutics Program, McLean Hospital, Belmont, MA, USA
                [14 ]College of Nursing and Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC, USA
                Article
                10.1177/08919887231207641
                d8608026-f328-4db9-9b4e-97cedde8c220
                © 2024

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