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Zimmerman M, Balling C, Chelminski I, Dalrymple K. Patients with borderline personality disorder and bipolar disorder: a descriptive and comparative study. Psychol Med 2021; 51:1479-1490. [PMID: 32178744 DOI: 10.1017/s0033291720000215] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Bipolar disorder and borderline personality disorder (BPD) are each significant public health problems. It has been frequently noted that distinguishing BPD from bipolar disorder is challenging. Consequently, reviews and commentaries have focused on differential diagnosis and identifying clinical features to distinguish the two disorders. While there is a burgeoning literature comparing patients with BPD and bipolar disorder, much less research has characterized patients with both disorders. In the current report from the Rhode Island Methods to Improve Diagnostic Assessment and Services (MIDAS) project, we compare psychiatric outpatients with both BPD and bipolar disorder to patients with BPD without bipolar disorder and patients with bipolar disorder without BPD. METHODS Psychiatric outpatients presenting for treatment were evaluated with semi-structured interviews. The focus of the current study is the 517 patients with both BPD and bipolar disorder (n = 59), BPD without bipolar disorder (n = 330), and bipolar disorder without BPD (n = 128). RESULTS Compared to patients with bipolar disorder, the patients with bipolar disorder and BPD had more comorbid disorders, psychopathology in their first-degree relatives, childhood trauma, suicidality, hospitalizations, time unemployed, and likelihood of receiving disability payments. The added presence of bipolar disorder in patients with BPD was associated with more posttraumatic stress disorder in the patients as well as their family, more bipolar disorder and substance use disorders in their relatives, more childhood trauma, unemployment, disability, suicide attempts, and hospitalizations. CONCLUSIONS Patients with both bipolar disorder and BPD have more severe psychosocial morbidity than patients with only one of these disorders.
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Affiliation(s)
- Mark Zimmerman
- Department of Psychiatry and Human Behavior, Brown Medical School, Rhode Island Hospital, Providence, RI, USA
| | - Caroline Balling
- Department of Psychiatry and Human Behavior, Brown Medical School, Rhode Island Hospital, Providence, RI, USA
| | - Iwona Chelminski
- Department of Psychiatry and Human Behavior, Brown Medical School, Rhode Island Hospital, Providence, RI, USA
| | - Kristy Dalrymple
- Department of Psychiatry and Human Behavior, Brown Medical School, Rhode Island Hospital, Providence, RI, USA
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2
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Tong P, Bo P, Shi Y, Dong L, Sun T, Gao X, Yang Y. Clinical traits of patients with major depressive disorder with comorbid borderline personality disorder based on propensity score matching. Depress Anxiety 2021; 38:100-106. [PMID: 33326658 DOI: 10.1002/da.23122] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 10/26/2020] [Accepted: 11/21/2020] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) with comorbid borderline personality disorder (BPD) makes the clinical symptoms of patients more complex and more difficult to treat, so more attention should be paid to the recognition of their clinical features. This study investigated the differences between patients with MDD with and without BPD in clinical traits. METHODS Propensity score matching was used to analyze the retrospective patients' data from August 2012 to September 2019. Altogether, 1381 patients with MDD were enrolled; 38 patients with MDD were matched to compare demographic data, and scores on the Hamilton Depression Scale, Hamilton Anxiety Scale (HAMA), Self-Rating Depression Scale (SDS), Modified Overt Aggression Scale (MOAS), and the frequency of nonsuicidal self-harm (NSSH). RESULTS Compared to patients with MDD without BPD, the age of onset of patients with MDD with comorbid BPD was significantly earlier (t = 3.25, p = .00). The scores of HAMA (t = -2.28, p = .03), SDS (t = 9.31, p = .00), MOAS (t = -13.67, p = .00), verbal aggression (t = -3.79, p = .00), aggression against objects (t = -2.84, p = .00), aggression against others (t = -6.70, p = .00), and aggression against self (t = -9.22, p = .00) were significantly higher in patients with MDD with comorbid BPD. Moreover, the frequency of NHSS in these patients was significantly higher (χ2 = 20.13, p = .00). MOAS was an independent influencing factor in these (odds ratio = 7.38, p = .00). CONCLUSIONS Patients with BPD showed early onset and increased complaints relative to symptoms, accompanied by obvious anxiety symptoms, impulsive behavior, and NSSH. Therefore, patients with MDD with impulsive behavior have comorbid BPD.
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Affiliation(s)
- Ping Tong
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China.,Department of Integrated Traditional Chinese and Western Medicine, Medical College of Yangzhou University, Yangzhou, China
| | - Ping Bo
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China.,Department of Integrated Traditional Chinese and Western Medicine, Medical College of Yangzhou University, Yangzhou, China
| | - Yuanhong Shi
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China
| | - Liping Dong
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China
| | - Ting Sun
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China
| | - Xia Gao
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China
| | - Yang Yang
- Department of Clinical Psychology, Yangzhou University Affiliated Northern Jiangsu People's Hospital, Yangzhou, China
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Barroilhet SA, Pellegrini AM, McCoy TH, Perlis RH. Characterizing DSM-5 and ICD-11 personality disorder features in psychiatric inpatients at scale using electronic health records. Psychol Med 2020; 50:2221-2229. [PMID: 31544723 PMCID: PMC9980721 DOI: 10.1017/s0033291719002320] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Investigation of personality traits and pathology in large, generalizable clinical cohorts has been hindered by inconsistent assessment and failure to consider a range of personality disorders (PDs) simultaneously. METHODS We applied natural language processing (NLP) of electronic health record notes to characterize a psychiatric inpatient cohort. A set of terms reflecting personality trait domains were derived, expanded, and then refined based on expert consensus. Latent Dirichlet allocation was used to score notes to estimate the extent to which any given note reflected PD topics. Regression models were used to examine the relationship of these estimates with sociodemographic features and length of stay. RESULTS Among 3623 patients with 4702 admissions, being male, non-white, having a low burden of medical comorbidity, being admitted through the emergency department, and having public insurance were independently associated with greater levels of disinhibition, detachment, and psychoticism. Being female, white, and having private insurance were independently associated with greater levels of negative affectivity. The presence of disinhibition, psychoticism, and negative affectivity were each significantly associated with a longer stay, while detachment was associated with a shorter stay. CONCLUSIONS Personality features can be systematically and scalably measured using NLP in the inpatient setting, and some of these features associate with length of stay. Developing treatment strategies for patients scoring high in certain personality dimensions may facilitate more efficient, targeted interventions, and may help reduce the impact of personality features on mental health service utilization.
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Affiliation(s)
- Sergio A. Barroilhet
- Center for Quantitative Health, Division of Clinical Research and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Tufts University School of Medicine, Boston, MA, USA
- University Psychiatric Clinic, University of Chile Clinical Hospital, Santiago, Chile
| | - Amelia M. Pellegrini
- Center for Quantitative Health, Division of Clinical Research and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Thomas H. McCoy
- Center for Quantitative Health, Division of Clinical Research and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Roy H. Perlis
- Center for Quantitative Health, Division of Clinical Research and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
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4
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Wall K, Kerr S, Sharp C. Barriers to care for adolescents with borderline personality disorder. Curr Opin Psychol 2020; 37:54-60. [PMID: 32853877 DOI: 10.1016/j.copsyc.2020.07.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 07/29/2020] [Indexed: 12/22/2022]
Abstract
Intervention for borderline personality disorder (BPD) in adolescence is crucial as early onset of the disorder predicts more severe course, and intervention 'late' in the course of the disorder is associated with more negative outcomes. In spite of this, access to services is poor. This is because several unique barriers to accessing care exist for adolescents with BPD. In this article we highlight key barriers to care for adolescents with BPD utilizing a conceptual model for understanding health care access that emphasizes the interaction between patient and health care system characteristics. We conclude with proposed recommendations to address these identified barriers.
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Abstract
After participating in this activity, learners should be better able to:• Assess medication management in patients with borderline personality disorder (BPD)• Evaluate the role of deprescribing as an active intervention in patients with BPD treated with polypharmacy ABSTRACT: Psychopharmacology in borderline personality disorder (BPD) is complicated by comorbid disorders, substance use, sensitivity to side effects, risk of self-harm through medication misuse, and intense but transient symptoms. Patients' relationships with medications may range from tenuous to highly enmeshed, and may profoundly influence the response to treatment. For these reasons, awareness of current evidence and flexible approaches are particularly relevant to prescribing in BPD. In this narrative review, we illustrate the current status of medication management in BPD by focusing on polypharmacy. We use a single vignette to explore the limitations of prescribing multiple medications and the factors contributing to polypharmacy. With the same vignette, and using the framework of deprescribing, we describe how medication regimens can be reduced to a necessary minimum. Deprescribing, originally developed in geriatric medicine, is an active intervention that involves a risk-benefit analysis for each medication, keeping in mind the patient's medical and psychiatric status and his or her preferences and values. Deprescribing lends itself well to use in psychiatry and especially in BPD because of its emphasis on the patient's preferences and on repeated conversations to revisit and update decisions. In addition to elaborating on the deprescribing framework, we provide recommendations for conducting these critical discussions about medications in BPD, with particular attention to the patient's relationship to the medication. Finally, we summarize our recommendations and strategies for implementing flexible and responsive medication management for patients with BPD. We suggest areas of future research, including testing the efficacy of targeted intermittent medication treatments.
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Barroilhet SA, Bieling AE, McCoy TH, Perlis RH. Association between DSM-5 and ICD-11 personality dimensional traits in a general medical cohort and readmission and mortality. Gen Hosp Psychiatry 2020; 64:63-67. [PMID: 32247933 PMCID: PMC9945433 DOI: 10.1016/j.genhosppsych.2020.01.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2019] [Revised: 01/22/2020] [Accepted: 01/23/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Personality has long been studied as a factor associated with health outcomes. Investigations of large, generalizable clinical cohorts are limited by variations in personality diagnostic methodologies and difficulties with long-term follow-up. METHODS Electronic health records of a cohort of patients admitted to a general hospital were characterized using a previously developed natural language processing tool for extracting DSM-5 and ICD-11 personality domains. We used Cox regression and Fine-Gray competing risk survival to analyze the relationships between these personality estimates, sociodemographic features, and risk of readmission and mortality. RESULTS Among 12,274 patients, 2379 deaths occurred in the course of 61,761 patient-years at risk, with 19,985 admissions during follow-up. Detachment was the most common personality feature. Presence of disinhibition was independently associated with a higher mortality risk, while anankastic traits were associated with a lower mortality risk. Increased likelihood of readmission was predicted by detachment, while decreased likelihood of readmission was associated with disinhibition and psychoticism traits. CONCLUSIONS Personality features can be identified from electronic health records and are associated with readmission and mortality risk. Developing treatment strategies that target patients with higher personality symptom burden in specific dimensions could enable more efficient and focused interventions.
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Affiliation(s)
- Sergio A. Barroilhet
- Center for Quantitative Health, Division of Clinical Research and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA,University Psychiatric Clinic, University of Chile Clinical Hospital, Santiago, Chile
| | - Alexandra E. Bieling
- Center for Quantitative Health, Division of Clinical Research and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Thomas H. McCoy
- Center for Quantitative Health, Division of Clinical Research and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA
| | - Roy H. Perlis
- Center for Quantitative Health, Division of Clinical Research and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA,Department of Psychiatry, Harvard Medical School, Harvard University, Boston, MA, USA
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Villarroel J, Salinas V, Silva H, Herrera L, Montes C, Jerez S, Vöhringer PA, Bustamante ML. Beyond the Categorical Distinction Between Borderline Personality Disorder and Bipolar II Disorder Through the Identification of Personality Traits Profiles. Front Psychiatry 2020; 11:552. [PMID: 32922312 PMCID: PMC7456877 DOI: 10.3389/fpsyt.2020.00552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 05/29/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The relationship between borderline personality disorder (BPD) and type-II bipolar disorder (BDII) is not clearly understood. Nevertheless, in clinical practice and research, most efforts focus on establishing a categorical distinction between the two. We propose using personality traits as a more informative strategy to describe them. METHODS Five-Factor Model personality traits were measured in 73 individuals with either BPD or BDII. Latent class cluster analysis was applied to the sample. RESULTS A three-cluster model resulted the best fit to the data, where all clusters had high neuroticism and low extraversion scores but differed widely on the other traits. The clusters' boundaries did not match the categorical diagnosis. CONCLUSIONS Our sample showed significant heterogeneity on personality traits, which can have a relevant effect on the outcome of each disorder and that was not captured by the categorical diagnosis. Thus, we advocate for a multivariate approach as a better way to understand the relationship between BPD and BDII.
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Affiliation(s)
- Juana Villarroel
- University Psychiatric Clinic, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Valeria Salinas
- Neurogenetics Outpatient Clinic and Laboratory, University Neurology Center and Neurology Section, J.M. Ramos Mejía Hospital, Faculty of Medicine, Universidad de Buenos Aires, Buenos Aires, Argentina.,Precision Medicine and Clinical Genomics Program, Faculty of Biomedical Sciences, Translational Medicine Research Institute, Universidad Austral-CONICET, Buenos Aires, Argentina
| | - Hernán Silva
- University Psychiatric Clinic, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Luisa Herrera
- Human Genetics Program, Faculty of Medicine, Biomedical Sciences Institute, Universidad de Chile, Santiago, Chile
| | - Cristián Montes
- University Psychiatric Clinic, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Sonia Jerez
- University Psychiatric Clinic, Faculty of Medicine, Universidad de Chile, Santiago, Chile
| | - Paul A Vöhringer
- University Psychiatric Clinic, Faculty of Medicine, Universidad de Chile, Santiago, Chile.,Mood Disorders Program, Tufts Medical Center, Tufts University, Boston, MA, United States
| | - Maria Leonor Bustamante
- University Psychiatric Clinic, Faculty of Medicine, Universidad de Chile, Santiago, Chile.,Human Genetics Program, Faculty of Medicine, Biomedical Sciences Institute, Universidad de Chile, Santiago, Chile
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Bayes A, Parker G, Paris J. Differential Diagnosis of Bipolar II Disorder and Borderline Personality Disorder. Curr Psychiatry Rep 2019; 21:125. [PMID: 31749106 DOI: 10.1007/s11920-019-1120-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
PURPOSE OF REVIEW Differentiating bipolar (BP) disorders (in particular BP II) from borderline personality disorder (BPD) is a common diagnostic dilemma. We sought to critically examine recent studies that considered clinical differences between BP II and BPD, which might advance their delineation. RECENT FINDINGS Recent studies focused on differentiating biological parameters-genetics, epigenetics, diurnal rhythms, structural and functional neuroimaging-with indicative differences not yet sufficient to guide diagnosis. Key differentiating factors include family history, developmental antecedents, illness course, phenomenological differences in mood states, personality style and relationship factors. Less differentiating factors include impulsivity, neuropsychological profiles, gender distribution, comorbidity and treatment response. This review details parameters offering differentiation of BP II from BPD and should assist in resolving a frequent diagnostic dilemma. Future studies should specifically examine the BP II subtype directly with BPD, which would aid in sharpening the distinction between the disorders.
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Affiliation(s)
- Adam Bayes
- School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia. .,Black Dog Institute, Sydney, NSW, Australia.
| | - Gordon Parker
- School of Psychiatry, University of New South Wales (UNSW), Sydney, Australia.,Black Dog Institute, Sydney, NSW, Australia
| | - Joel Paris
- Institute of Community and Family Psychiatry, SMBD-Jewish General Hospital, McGill University, Montreal, Quebec, Canada
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Abstract
Borderline personality disorder (BPD) has a wide range of symptoms and clinical features that overlap with other diagnostic categories. Diagnosis is important because different disorders respond to different forms of treatment. Differential diagnosis is particularly relevant for distinguishing BPD from bipolar spectrum disorders, requiring a careful evaluation of affective instability and hypomania. BPD may also be confused with major depression, schizophrenia, attention-deficit/hyperactivity disorder, and posttraumatic stress disorder.
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Affiliation(s)
- Joel Paris
- McGill University, SMBD-Jewish General Hospital, 4333 Cote Ste Catherine, Montreal, Quebec H3A 1E4, Canada.
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10
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Vöhringer PA, Barroilhet SA, Alvear K, Medina S, Espinosa C, Alexandrovich K, Riumallo P, Leiva F, Hurtado ME, Cabrera J, Sullivan M, Holtzman N, Ghaemi SN. The International Mood Network (IMN) Nosology Project: differentiating borderline personality from bipolar illness. Acta Psychiatr Scand 2016; 134:504-510. [PMID: 27611723 DOI: 10.1111/acps.12643] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/22/2016] [Indexed: 11/27/2022]
Abstract
OBJECTIVE The differential diagnosis of bipolar illness vs. borderline personality is controversial. Both conditions manifest impulsive behavior, unstable interpersonal relationships, and mood symptoms. This study examines whether and which mood clinical features can differentiate between both conditions. METHOD A total of 260 patients (mean ± standard deviation age 41 ± 13 years, 68% female) attending to a mood clinic were examined for diagnosis of bipolar illness and borderline personality disorder using SCID-I, SCID-II, and clinical mood criteria extracted from Mood Disorder Questionnaire (MDQ). They were analyzed using diagnoses as dependent variables. Predictors of bipolar and borderline diagnoses were identified by multivariable logistic regressions, and predictive validity of models was assessed using ROC curve analysis. RESULTS Bipolar illness was strongly predicted by elevated mood (OR = 4.02, 95% CI: 1.80-9.15), increased goal-directed activities (OR = 3.90, 95% CI: 1.73-8.96), and episodicity of mood symptoms (OR = 3.48, 95% CI 1.49-8.39). This triad model predicted bipolar illness with 88.7% sensitivity, 81.4% specificity, and obtained an auROC of 0.91 (95% CI: 0.76-0.96) and a positive predictive value of 85.1%. For borderline personality disorder, only female gender was a statistically significant predictor (OR = 3.41, 95% CI: 1.29-13.7), and the predictive model obtained an auROC of 0.67 (95% CI: 0.53-0.74). CONCLUSION In a mood disorder clinic setting, manic criteria and episodic mood course distinguished bipolar illness from borderline personality disorder.
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Affiliation(s)
- P A Vöhringer
- Unidad de Trastornos del Ánimo, Clínica Psiquiátrica Universitaria, Hospital Clínico Universidad de Chile, Facultad de Medicina Universidad de Chile, Santiago, Chile.,Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile.,Mood Disorders Program, Tufts Medical Center, Boston, MA, USA.,Millenium Institute for Depression and Personality Research, Ministry of Economy, Macul, Santiago, Chile
| | - S A Barroilhet
- Mood Disorders Program, Tufts Medical Center, Boston, MA, USA.,Escuela de Psicología, Universidad de los Andes, Santiago, Chile.,Unidad de Psiquiatría de Enlace, Clínica Psiquiátrica Universitaria, Hospital Clínico Universidad de Chile, Facultad de Medicina Universidad de Chile, Santiago, Chile
| | - K Alvear
- Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile.,Universidad Diego Portales, Santiago, Chile
| | - S Medina
- Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile
| | - C Espinosa
- Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile
| | - K Alexandrovich
- Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile
| | - P Riumallo
- Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile
| | - F Leiva
- Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile
| | - M E Hurtado
- Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile
| | - J Cabrera
- Clínica de Trastornos del Ánimo, Instituto Psiquiátrico "Dr. José Horwitz B", Santiago, Chile
| | - M Sullivan
- Mood Disorders Program, Tufts Medical Center, Boston, MA, USA
| | - N Holtzman
- Mood Disorders Program, Tufts Medical Center, Boston, MA, USA
| | - S N Ghaemi
- Mood Disorders Program, Tufts Medical Center, Boston, MA, USA
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