P.0643 Anticonvulsant and antipsychotic medications in the pharmacotherapy of panic disorder: an updated review

Abstract. Existing research has primarily evaluated music therapy (MT) as a means of reducing the negative affect, behavioral, and/or cognitive symptoms of dementia. Music listening (ML), on the other hand, offers a less-explored, potentially equivalent alternative to MT and may further reduce exposure to potentially harmful psychotropic medications traditionally used to manage negative behavioral and psychological symptoms of dementia (BPSD). This 5-month prospective, naturalistic, interprofessional, single-center extended care facility study compared usual care (45 residents) and usual care combined with at least thrice weekly personalized ML sessions (47 residents) to determine the influence of ML. Agitation decreased for all participants (p < .001), and the ML residents receiving antipsychotic medications at baseline experienced agitation levels similar to both the usual care group and the ML patients who were not prescribed antipsychotics (p < .05 for medication × ML interaction). No significant changes in psychotropic medication exposure occurred. This experimental study supports ML as an adjunct to pharmacological approaches to treating agitation in older adults with dementia living in long-term care facilities. It also highlights the need for additional research focused on how individualized music programs affect doses and frequencies of antipsychotic medications and their associated risk of death and cerebrovascular events in this population.

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Identifying Patterns in Complex Field Data

Zeitschrift für Psychologie ◽

10.1027/2151-2604/a000310 ◽

2017 ◽

Vol 225 (3) ◽

pp. 268-284 ◽

Cited By ~ 1

Author(s):

Andrew J. White ◽

Dieter Kleinböhl ◽

Thomas Lang ◽

Alfons O. Hamm ◽

Alexander L. Gerlach ◽

...

Keyword(s):

Heart Rate ◽

Panic Disorder ◽

Latent Class ◽

Treatment Protocol ◽

Situational Factors ◽

Self Report ◽

Complex Field ◽

Cluster Assignment ◽

Experimental Conditions ◽

Conventional Analysis

Abstract. Ambulatory assessment methods are well suited to examine how patients with panic disorder and agoraphobia (PD/A) undertake situational exposure. But under complex field conditions of a complex treatment protocol, the variability of data can be so high that conventional analytic approaches based on group averages inadequately describe individual variability. To understand how fear responses change throughout exposure, we aimed to demonstrate the incremental value of sorting HR responses (an index of fear) prior to applying averaging procedures. As part of their panic treatment, 85 patients with PD/A completed a total of 233 bus exposure exercises. Heart rate (HR), global positioning system (GPS) location, and self-report data were collected. Patients were randomized to one of two active treatment conditions (standard exposure or fear-augmented exposure) and completed multiple exposures in four consecutive exposure sessions. We used latent class cluster analysis (CA) to cluster heart rate (HR) responses collected at the start of bus exposure exercises (5 min long, centered on bus boarding). Intra-individual patterns of assignment across exposure repetitions were examined to explore the relative influence of individual and situational factors on HR responses. The association between response types and panic disorder symptoms was determined by examining how clusters were related to self-reported anxiety, concordance between HR and self-report measures, and bodily symptom tolerance. These analyses were contrasted with a conventional analysis based on averages across experimental conditions. HR responses were sorted according to form and level criteria and yielded nine clusters, seven of which were interpretable. Cluster assignment was not stable across sessions or treatment condition. Clusters characterized by a low absolute HR level that slowly decayed corresponded with low self-reported anxiety and greater self-rated tolerance of bodily symptoms. Inconsistent individual factors influenced HR responses less than situational factors. Applying clustering can help to extend the conventional analysis of highly variable data collected in the field. We discuss the merits of this approach and reasons for the non-stereotypical pattern of cluster assignment across exposures.

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