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Do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder?
Adopting a personalized medicine approach beyond genetic/epigenetic profiling within psychiatric diagnostic and treatment is challenging. For the first time, we studied the influence of two patient resources (resilience and illness representation) on the success of an inpatient treatment of major de...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429153/ https://www.ncbi.nlm.nih.gov/pubmed/34191120 http://dx.doi.org/10.1007/s00406-021-01285-5 |
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author | Marschollek, Laura Bonnet, Udo |
author_facet | Marschollek, Laura Bonnet, Udo |
author_sort | Marschollek, Laura |
collection | PubMed |
description | Adopting a personalized medicine approach beyond genetic/epigenetic profiling within psychiatric diagnostic and treatment is challenging. For the first time, we studied the influence of two patient resources (resilience and illness representation) on the success of an inpatient treatment of major depressive disorder (MDD). Using a 5-week observational real-world-study, the treatment- success was measured by the difference between the subjective depression- severity (according to the German short form of Beck’s Depression-Inventory) at baseline (i.e., days four to six post-admission) and study- endpoint. In the intention-to-treat sample (n = 60, 47.3 ± 12.8 years old; 58% females), the patients’ illness representation [measured by the “Krankheitskonzeptskala” (KK)] did not predict their treatment- success. The KK-dimension ‘trust-in-doctors’ was associated with resilience but not with the treatment-success. Albeit, the patients’ resilience (determined by Resilience- Scale, 11-item-version (RS-11)) negatively predicted their positive treatment- success (b = − 0.09, p = 0.017, f(2) = 0.11). This influence of resilience on treatment- success was completely mediated by the baseline-depression- severity. This means, patients with low resilience reported high baseline-depression- levels which predicted a significant positive treatment- success. And, patients with high resilience reported low baseline-depression-levels which predicted no relevant or even negative inpatient treatment-success. The latter “high-resilience”- group (n = 27) was especially interesting. Remarkably, these patients appeared to have experienced within the first four-to-six inpatient treatment-days an “early sudden gain” against their considerable MDD- burden that initially had led to their admission. Thus, a stronger resilience might serve as a proxy of the development of an early MDD-relief as well as of lower baseline-depression- levels. Further studies are warranted to support the value of a patient’s resilience to predict his treatment response and inpatient treatment duration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00406-021-01285-5. |
format | Online Article Text |
id | pubmed-8429153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-84291532021-09-29 Do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder? Marschollek, Laura Bonnet, Udo Eur Arch Psychiatry Clin Neurosci Original Paper Adopting a personalized medicine approach beyond genetic/epigenetic profiling within psychiatric diagnostic and treatment is challenging. For the first time, we studied the influence of two patient resources (resilience and illness representation) on the success of an inpatient treatment of major depressive disorder (MDD). Using a 5-week observational real-world-study, the treatment- success was measured by the difference between the subjective depression- severity (according to the German short form of Beck’s Depression-Inventory) at baseline (i.e., days four to six post-admission) and study- endpoint. In the intention-to-treat sample (n = 60, 47.3 ± 12.8 years old; 58% females), the patients’ illness representation [measured by the “Krankheitskonzeptskala” (KK)] did not predict their treatment- success. The KK-dimension ‘trust-in-doctors’ was associated with resilience but not with the treatment-success. Albeit, the patients’ resilience (determined by Resilience- Scale, 11-item-version (RS-11)) negatively predicted their positive treatment- success (b = − 0.09, p = 0.017, f(2) = 0.11). This influence of resilience on treatment- success was completely mediated by the baseline-depression- severity. This means, patients with low resilience reported high baseline-depression- levels which predicted a significant positive treatment- success. And, patients with high resilience reported low baseline-depression-levels which predicted no relevant or even negative inpatient treatment-success. The latter “high-resilience”- group (n = 27) was especially interesting. Remarkably, these patients appeared to have experienced within the first four-to-six inpatient treatment-days an “early sudden gain” against their considerable MDD- burden that initially had led to their admission. Thus, a stronger resilience might serve as a proxy of the development of an early MDD-relief as well as of lower baseline-depression- levels. Further studies are warranted to support the value of a patient’s resilience to predict his treatment response and inpatient treatment duration. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00406-021-01285-5. Springer Berlin Heidelberg 2021-06-30 2021 /pmc/articles/PMC8429153/ /pubmed/34191120 http://dx.doi.org/10.1007/s00406-021-01285-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Marschollek, Laura Bonnet, Udo Do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder? |
title | Do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder? |
title_full | Do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder? |
title_fullStr | Do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder? |
title_full_unstemmed | Do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder? |
title_short | Do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder? |
title_sort | do patients’ resilience and subjective illness representation predict the outcome of a routine inpatient treatment program of major depressive disorder? |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429153/ https://www.ncbi.nlm.nih.gov/pubmed/34191120 http://dx.doi.org/10.1007/s00406-021-01285-5 |
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