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Diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records

INTRODUCTION: State-of-the-art research highlights that borderline personality disorder have high rates of comorbid Axis I disorders, which imply uncertainty in establishing an accurate diagnosis and can be some of the most challenging patients for clinicians and researchers. OBJECTIVES: This study...

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Autores principales: Henriques-Calado, J., Schumacher, M. M., Gama Marques, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661127/
http://dx.doi.org/10.1192/j.eurpsy.2023.1302
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author Henriques-Calado, J.
Schumacher, M. M.
Gama Marques, J.
author_facet Henriques-Calado, J.
Schumacher, M. M.
Gama Marques, J.
author_sort Henriques-Calado, J.
collection PubMed
description INTRODUCTION: State-of-the-art research highlights that borderline personality disorder have high rates of comorbid Axis I disorders, which imply uncertainty in establishing an accurate diagnosis and can be some of the most challenging patients for clinicians and researchers. OBJECTIVES: This study seeks to observe the diagnostic stability in borderline personality disorder patients, in order to increase empirical knowledge through a retrospective look at the historical line of diagnoses. METHODS: A twenty-year retrospective study at a psychiatric hospital, searching at the electronic clinical records for all patients with borderline personality disorder diagnosis, under the code 301.83 from World Health Organization’s International Classification of Diseases, 9(th) Revision (WHO ICD9). A 346 patients’ sample was identified aged between 18 and 83 years (M (age)=44.14 years, SD=11.18; predominantly female 73.70%; M (schooling)=9.31years; M (admissions)=4.72(times), SD=9.21; 2(nd)-5(th) comorbid diagnosis, a 75.72% sample with three diagnosis); excluding organic cerebral syndrome and no comorbidity besides drug abuse, or no comorbidity at all. RESULTS: As a general observation, the following diagnoses are indicated: 44.09% major depressive disorder, 33.16% affective disorder, 13.05% schizophrenia, and 9.70% mania. As a spectrums disorders analysis (Figure 1), differential percentage occurrences are identified in patients with borderline personality disorder. Image: CONCLUSIONS: Based on clinical diagnoses records of borderline personality disorder patients, some spectrums disorders are highlighted, to be reported in descending order of incidence: depressive, affective, schizoaffective and schizophrenia spectrums. DISCLOSURE OF INTEREST: None Declared
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spelling pubmed-106611272023-07-19 Diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records Henriques-Calado, J. Schumacher, M. M. Gama Marques, J. Eur Psychiatry Abstract INTRODUCTION: State-of-the-art research highlights that borderline personality disorder have high rates of comorbid Axis I disorders, which imply uncertainty in establishing an accurate diagnosis and can be some of the most challenging patients for clinicians and researchers. OBJECTIVES: This study seeks to observe the diagnostic stability in borderline personality disorder patients, in order to increase empirical knowledge through a retrospective look at the historical line of diagnoses. METHODS: A twenty-year retrospective study at a psychiatric hospital, searching at the electronic clinical records for all patients with borderline personality disorder diagnosis, under the code 301.83 from World Health Organization’s International Classification of Diseases, 9(th) Revision (WHO ICD9). A 346 patients’ sample was identified aged between 18 and 83 years (M (age)=44.14 years, SD=11.18; predominantly female 73.70%; M (schooling)=9.31years; M (admissions)=4.72(times), SD=9.21; 2(nd)-5(th) comorbid diagnosis, a 75.72% sample with three diagnosis); excluding organic cerebral syndrome and no comorbidity besides drug abuse, or no comorbidity at all. RESULTS: As a general observation, the following diagnoses are indicated: 44.09% major depressive disorder, 33.16% affective disorder, 13.05% schizophrenia, and 9.70% mania. As a spectrums disorders analysis (Figure 1), differential percentage occurrences are identified in patients with borderline personality disorder. Image: CONCLUSIONS: Based on clinical diagnoses records of borderline personality disorder patients, some spectrums disorders are highlighted, to be reported in descending order of incidence: depressive, affective, schizoaffective and schizophrenia spectrums. DISCLOSURE OF INTEREST: None Declared Cambridge University Press 2023-07-19 /pmc/articles/PMC10661127/ http://dx.doi.org/10.1192/j.eurpsy.2023.1302 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstract
Henriques-Calado, J.
Schumacher, M. M.
Gama Marques, J.
Diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records
title Diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records
title_full Diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records
title_fullStr Diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records
title_full_unstemmed Diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records
title_short Diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records
title_sort diagnostic stability of 346 patients with borderline personality disorder based on retrospective clinical records
topic Abstract
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10661127/
http://dx.doi.org/10.1192/j.eurpsy.2023.1302
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