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Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders

BACKGROUND: A retrospective chart review was undertaken in a private clinic to examine the clinical outcomes for patients with an eating disorder comorbid with depression or bipolar illness who underwent a referenced electroencephalographic (EEG) database analysis to help guide medication selection....

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Autores principales: Greenblatt, James M, Sussman, Craig, Jameson, Mariko, Yuan, Lee, Hoffman, Daniel A, Iosifescu, Dan V
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3173036/
https://www.ncbi.nlm.nih.gov/pubmed/21931495
http://dx.doi.org/10.2147/NDT.S22271
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author Greenblatt, James M
Sussman, Craig
Jameson, Mariko
Yuan, Lee
Hoffman, Daniel A
Iosifescu, Dan V
author_facet Greenblatt, James M
Sussman, Craig
Jameson, Mariko
Yuan, Lee
Hoffman, Daniel A
Iosifescu, Dan V
author_sort Greenblatt, James M
collection PubMed
description BACKGROUND: A retrospective chart review was undertaken in a private clinic to examine the clinical outcomes for patients with an eating disorder comorbid with depression or bipolar illness who underwent a referenced electroencephalographic (EEG) database analysis to help guide medication selection. METHOD: We examined 33 charts for patients with the primary psychiatric diagnosis of an eating disorder and comorbid major depressive disorder or bipolar disorder who underwent a quantitative EEG database assessment to provide additional information for choices of medication. The current analysis includes data from 22 subjects who accepted treatments based on information from the referenced-EEG medication database. Hamilton Depression Rating Scale, Clinical Global Impression-Severity, Clinical Global Impression-Improvement, and hospitalization data were examined for these patients. RESULTS: Patients whose EEG data was used for clinical treatment reported significant decreases in associated depressive symptoms (HDRS scores), overall severity of illness (Clinical Global Impression-Severity), and overall clinical global improvement (Clinical Global Impression- Improvement). This cohort also reported fewer inpatient, residential, and partial hospitalization program days following referenced-EEG compared with the two-year period prior to treatment. CONCLUSION: These findings are consistent with previously reported data for patients with eating disorders and suggest the need for future studies using EEG data correlated with those from other patients with similar quantitative EEG features.
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spelling pubmed-31730362011-09-19 Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders Greenblatt, James M Sussman, Craig Jameson, Mariko Yuan, Lee Hoffman, Daniel A Iosifescu, Dan V Neuropsychiatr Dis Treat Original Research BACKGROUND: A retrospective chart review was undertaken in a private clinic to examine the clinical outcomes for patients with an eating disorder comorbid with depression or bipolar illness who underwent a referenced electroencephalographic (EEG) database analysis to help guide medication selection. METHOD: We examined 33 charts for patients with the primary psychiatric diagnosis of an eating disorder and comorbid major depressive disorder or bipolar disorder who underwent a quantitative EEG database assessment to provide additional information for choices of medication. The current analysis includes data from 22 subjects who accepted treatments based on information from the referenced-EEG medication database. Hamilton Depression Rating Scale, Clinical Global Impression-Severity, Clinical Global Impression-Improvement, and hospitalization data were examined for these patients. RESULTS: Patients whose EEG data was used for clinical treatment reported significant decreases in associated depressive symptoms (HDRS scores), overall severity of illness (Clinical Global Impression-Severity), and overall clinical global improvement (Clinical Global Impression- Improvement). This cohort also reported fewer inpatient, residential, and partial hospitalization program days following referenced-EEG compared with the two-year period prior to treatment. CONCLUSION: These findings are consistent with previously reported data for patients with eating disorders and suggest the need for future studies using EEG data correlated with those from other patients with similar quantitative EEG features. Dove Medical Press 2011 2011-09-09 /pmc/articles/PMC3173036/ /pubmed/21931495 http://dx.doi.org/10.2147/NDT.S22271 Text en © 2011 Greenblatt et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited.
spellingShingle Original Research
Greenblatt, James M
Sussman, Craig
Jameson, Mariko
Yuan, Lee
Hoffman, Daniel A
Iosifescu, Dan V
Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders
title Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders
title_full Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders
title_fullStr Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders
title_full_unstemmed Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders
title_short Retrospective chart review of a referenced EEG database in assisting medication selection for treatment of depression in patients with eating disorders
title_sort retrospective chart review of a referenced eeg database in assisting medication selection for treatment of depression in patients with eating disorders
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3173036/
https://www.ncbi.nlm.nih.gov/pubmed/21931495
http://dx.doi.org/10.2147/NDT.S22271
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