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Subtypes of borderline personality disorder patients: a cluster-analytic approach

BACKGROUND: The borderline personality disorder (BPD) population is notably heterogeneous, and this has potentially important implications for intervention. Identifying distinct subtypes of patients may represent a first step in identifying which treatments work best for which individuals. METHODS:...

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Autores principales: Smits, Maaike L., Feenstra, Dine J., Bales, Dawn L., de Vos, Jasmijn, Lucas, Zwaan, Verheul, Roel, Luyten, Patrick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494904/
https://www.ncbi.nlm.nih.gov/pubmed/28680639
http://dx.doi.org/10.1186/s40479-017-0066-4
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author Smits, Maaike L.
Feenstra, Dine J.
Bales, Dawn L.
de Vos, Jasmijn
Lucas, Zwaan
Verheul, Roel
Luyten, Patrick
author_facet Smits, Maaike L.
Feenstra, Dine J.
Bales, Dawn L.
de Vos, Jasmijn
Lucas, Zwaan
Verheul, Roel
Luyten, Patrick
author_sort Smits, Maaike L.
collection PubMed
description BACKGROUND: The borderline personality disorder (BPD) population is notably heterogeneous, and this has potentially important implications for intervention. Identifying distinct subtypes of patients may represent a first step in identifying which treatments work best for which individuals. METHODS: A cluster-analysis on dimensional personality disorder (PD) features, as assessed with the SCID-II, was performed on a sample of carefully screened BPD patients (N = 187) referred for mentalization-based treatment. The optimal cluster solution was determined using multiple indices of fit. The validity of the clusters was explored by investigating their relationship with borderline pathology, symptom severity, interpersonal problems, quality of life, personality functioning, attachment, and trauma history, in addition to demographic and clinical features. RESULTS: A three-cluster solution was retained, which identified three clusters of BPD patients with distinct profiles. The largest cluster (n = 145) consisted of patients characterized by “core BPD” features, without marked elevations on other PD dimensions. A second “Extravert/externalizing” cluster of patients (n = 27) was characterized by high levels of histrionic, narcissistic, and antisocial features. A third, smaller “Schizotypal/paranoid” cluster (n = 15) consisted of patients with marked schizotypal and paranoid features. Patients in these clusters showed theoretically meaningful differences in terms of demographic and clinical features. CONCLUSIONS: Three meaningful subtypes of BPD patients were identified with distinct profiles. Differences were small, even when controlling for severity of PD pathology, suggesting a strong common factor underlying BPD. These results may represent a stepping stone toward research with larger samples aimed at replicating the findings and investigating differential trajectories of change, treatment outcomes, and treatment approaches for these subtypes. TRIAL REGISTRATION: The study was retrospectively registered 16 April 2010 in the Nederlands Trial Register, no. NTR2292.
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spelling pubmed-54949042017-07-05 Subtypes of borderline personality disorder patients: a cluster-analytic approach Smits, Maaike L. Feenstra, Dine J. Bales, Dawn L. de Vos, Jasmijn Lucas, Zwaan Verheul, Roel Luyten, Patrick Borderline Personal Disord Emot Dysregul Research Article BACKGROUND: The borderline personality disorder (BPD) population is notably heterogeneous, and this has potentially important implications for intervention. Identifying distinct subtypes of patients may represent a first step in identifying which treatments work best for which individuals. METHODS: A cluster-analysis on dimensional personality disorder (PD) features, as assessed with the SCID-II, was performed on a sample of carefully screened BPD patients (N = 187) referred for mentalization-based treatment. The optimal cluster solution was determined using multiple indices of fit. The validity of the clusters was explored by investigating their relationship with borderline pathology, symptom severity, interpersonal problems, quality of life, personality functioning, attachment, and trauma history, in addition to demographic and clinical features. RESULTS: A three-cluster solution was retained, which identified three clusters of BPD patients with distinct profiles. The largest cluster (n = 145) consisted of patients characterized by “core BPD” features, without marked elevations on other PD dimensions. A second “Extravert/externalizing” cluster of patients (n = 27) was characterized by high levels of histrionic, narcissistic, and antisocial features. A third, smaller “Schizotypal/paranoid” cluster (n = 15) consisted of patients with marked schizotypal and paranoid features. Patients in these clusters showed theoretically meaningful differences in terms of demographic and clinical features. CONCLUSIONS: Three meaningful subtypes of BPD patients were identified with distinct profiles. Differences were small, even when controlling for severity of PD pathology, suggesting a strong common factor underlying BPD. These results may represent a stepping stone toward research with larger samples aimed at replicating the findings and investigating differential trajectories of change, treatment outcomes, and treatment approaches for these subtypes. TRIAL REGISTRATION: The study was retrospectively registered 16 April 2010 in the Nederlands Trial Register, no. NTR2292. BioMed Central 2017-07-03 /pmc/articles/PMC5494904/ /pubmed/28680639 http://dx.doi.org/10.1186/s40479-017-0066-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Smits, Maaike L.
Feenstra, Dine J.
Bales, Dawn L.
de Vos, Jasmijn
Lucas, Zwaan
Verheul, Roel
Luyten, Patrick
Subtypes of borderline personality disorder patients: a cluster-analytic approach
title Subtypes of borderline personality disorder patients: a cluster-analytic approach
title_full Subtypes of borderline personality disorder patients: a cluster-analytic approach
title_fullStr Subtypes of borderline personality disorder patients: a cluster-analytic approach
title_full_unstemmed Subtypes of borderline personality disorder patients: a cluster-analytic approach
title_short Subtypes of borderline personality disorder patients: a cluster-analytic approach
title_sort subtypes of borderline personality disorder patients: a cluster-analytic approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494904/
https://www.ncbi.nlm.nih.gov/pubmed/28680639
http://dx.doi.org/10.1186/s40479-017-0066-4
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