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

Autor: J. Henriques-Calado, M. M. Schumacher, J. Gama Marques
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: European Psychiatry, Vol 66, Pp S625-S626 (2023)
Druh dokumentu: article
ISSN: 0924-9338
1778-3585
DOI: 10.1192/j.eurpsy.2023.1302
Popis: 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, 9th 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=4.72times, SD=9.21; 2nd-5th 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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