The Limits between Bipolar Disorder and Borderline Personality Disorder: A Review of the Evidence

The comparison of hot and cold executive functions in patients with bipolar II disorder, borderline personality disorder, and healthy individuals

Background

Differential diagnosis of bipolar II disorder (BD-II) and borderline personality disorder (BPD) has always been challenging for clinicians due to symptoms' overlap. This study aimed to compare hot and cold executive functions (EFs) in BD-II patients, as well as BPD and healthy controls (HCs), in order to differentiate these two disorders.

Methods

In the present study, 30 BD-II and 30 BPD patients undergoing the drug therapy with mood stabilizers, and 30 HC were examined using EFs evaluated tests. The data were then analyzed using ANOVA and Tukey post hoc test.

Results

The BD-II Patients performed significantly less in all cold EFs than the HC. Also, BPD patients had meaningfully lesser performance compared to HC in all cold EFs except sustained attention. No significant difference was perceived between the two patient groups in the cold EFs. In BD-II patients, the risky decision-making as a hot EFs' component was not significantly different from HC; nevertheless, its amount was significantly higher in BPD than in the HC and BD-II patients.

Conclusion

These findings underline the differences between the two mentioned disorders based on the hot EFs, which may indicate further disorder in the emotional information processing system among the BPD patients.

Three clinical indicators of borderline personality disorder in anorexia nervosa: A pilot study

OBJECTIVES

Co-occurrence of Anorexia Nervosa (AN) and borderline personality disorder (BPD) is frequent (8%-40%) and associated with specificities that impact the treatment process. Lifetime history of suicide attempt (HAS), substance use disorder (SUD) and the binge-purging subtype (B-P) might be good markers of such comorbidity. We made the hypothesis that in patients with AN, the presence of HAS, SUD and B-P have sufficient predictive power to efficiently detect an associated BPD comorbidity.

METHODS

After a case report analysis on a pilot sample of 119 patients with AN, we performed a cross-sectional analysis on a confirmatory sample of 84 patients with AN in a single center specialized in eating disorders systematically assessing HAS, SUD, B-P and BPD using the Mini International Neuropsychiatric Interview for DSM-5 and the Diagnostic Interview for Borderline (DIB-R).

RESULTS

B-P had a 100% negative predictive value, and the combination of SUD plus HAS had a 100% positive predictive value. On a quantitative level, B-P, HAS and SUD were independent explanatory factors of the DIB-R total score.

CONCLUSIONS

The main limitations were the low number of patients, the single center analyses, the potential overlapping of assessments and the fact that data were exclusively declarative. In this study, every patient with B-P, SUD and HAS had been diagnosed with BPD.

Development of a screening algorithm for borderline personality disorder using electronic health records

Borderline personality disorder (BoPD or BPD) is highly prevalent and characterized by reactive moods, impulsivity, behavioral dysregulation, and distorted self-image. Yet the BoPD diagnosis is underutilized and patients with BoPD are frequently misdiagnosed resulting in lost opportunities for appropriate treatment. Automated screening of electronic health records (EHRs) is one potential strategy to help identify possible BoPD patients who are otherwise undiagnosed. We present the development and analytical validation of a BoPD screening algorithm based on routinely collected and structured EHRs. This algorithm integrates rule-based selection and machine learning (ML) in a two-step framework by first selecting potential patients based on the presence of comorbidities and characteristics commonly associated with BoPD, and then predicting whether the patients most likely have BoPD. Leveraging a large-scale US-based de-identified EHR database and our clinical expert’s rating of two random samples of patient EHRs, results show that our screening algorithm has a high consistency with our clinical expert’s ratings, with area under the receiver operating characteristic (AUROC) 0.837 [95% confidence interval (CI) 0.778–0.892], positive predictive value 0.717 (95% CI 0.583–0.836), accuracy 0.820 (95% CI 0.768–0.873), sensitivity 0.541 (95% CI 0.417–0.667) and specificity 0.922 (95% CI 0.880–0.960). Our aim is, to provide an additional resource to facilitate clinical decision making and promote the development of digital medicine.

Structural Features Related to Affective Instability Correctly Classify Patients With Borderline Personality Disorder. A Supervised Machine Learning Approach

Previous morphometric studies of Borderline Personality Disorder (BPD) reported inconsistent alterations in cortical and subcortical areas. However, these studies have investigated the brain at the voxel level using mass univariate methods or region of interest approaches, which are subject to several artifacts and do not enable detection of more complex patterns of structural alterations that may separate BPD from other clinical populations and healthy controls (HC). Multiple Kernel Learning (MKL) is a whole-brain multivariate supervised machine learning method able to classify individuals and predict an objective diagnosis based on structural features. As such, this method can help identifying objective biomarkers related to BPD pathophysiology and predict new cases. To this aim, we applied MKL to structural images of patients with BPD and matched HCs. Moreover, to ensure that results are specific for BPD and not for general psychological disorders, we also applied MKL to BPD against a group of patients with bipolar disorder, for their similarities in affective instability. Results showed that a circuit, including basal ganglia, amygdala, and portions of the temporal lobes and of the orbitofrontal cortex, correctly classified BPD against HC (80%). Notably, this circuit positively correlates with the affective sector of the Zanarini questionnaire, thus indicating an involvement of this circuit with affective disturbances. Moreover, by contrasting BPD with BD, the spurious regions were excluded, and a specific circuit for BPD was outlined. These results support that BPD is characterized by anomalies in a cortico-subcortical circuit related to affective instability and that this circuit discriminates BPD from controls and from other clinical populations.

Bipolar disorder: Treatment strategies for women of childbearing age

PURPOSE

Bipolar disorder is associated with increased rates of morbidity and mortality, magnified in women of childbearing age. The purpose of this paper is to provide an overview of the differential diagnosis and management of bipolar disorder in women of childbearing age.

CONCLUSIONS

Differential diagnoses for bipolar disorder include depressive disorders, anxiety disorders, trauma-related disorders, attention-deficit/hyperactivity disorder, and personality disorders. Pharmacotherapeutic options for the treatment of bipolar disorder include lithium, anti-epileptic medications, and atypical antipsychotics. In regard to women of childbearing age, consideration of risks, benefits, and alternative therapies is needed before initiating therapy.

PRACTICE IMPLICATIONS

Caring for patients with bipolar disorder, particularly women of childbearing age, requires careful differentiation of bipolar disorder from other mental health problems, and prudent consideration of pharmacotherapeutic options.

Investigating the Relationship between Autistic Traits, Ruminative Thinking, and Suicidality in a Clinical Sample of Subjects with Bipolar Disorder and Borderline Personality Disorder

(1) Background: Previous literature reported in both subjects with Borderline personality disorder (BPD) and Bipolar disorder (BD) higher levels of autistic traits, linked to a greater suicidality risk. The aim of this study was to evaluate and compare the presence of autistic traits in a sample of individuals with BD or BPD, with a specific focus on suicidality. (2) Methods: We recruited two clinical samples of subjects (BPD and BD) and a control group without a diagnosis according to DSM-5 (CTL). Subjects were assessed with the AdAS Spectrum, the RRS and, for evaluating suicidality, the MOODS-SR. (3) Results: The CTL group showed significantly lower scores of both BD and BPD on AdAS Spectrum, RRS, and suicidality scores. BPD subjects showed significantly lower scores than BD ones in most of AdAS Spectrum domain scores. Correlation and regression analyses highlighted specific patterns of association among AdAS Spectrum domains, RRS, and suicidality in each clinical group. (4) Conclusions: Both BPD and BD individuals show greater levels of autistic traits, which seem to be distributed in a continuum featuring the highest levels among BD subjects. In both disorders, higher autistic traits were linked to suicidal tendencies, although with different patterns of association between BD and BPD subjects.

Emotional and Behavioral Dysregulation in Severe Mental Illness

Emotional and behavioral dysregulation are common in severe mental illnesses, including schizophrenia, bipolar disorder, and borderline personality disorder. Emotional instability and behavioral outbursts can be driven by internal processes and/or environmental triggers and interpersonal interactions. Understanding the underlying diagnosis is important in determining the best course of treatment. Disorder-specific treatments are important in addressing underlying drivers of emotional dysregulation, irritability, and aggression. Coping skills training and behavioral modification strategies have broad applicability and are useful for aggression and irritability. Treatment planning to address emotion dysregulation and aggression in severe mental illness should address psychiatric comorbidities, substance use, and medication adherence.

Clinical Features, Neuropsychology and Neuroimaging in Bipolar and Borderline Personality Disorder: A Systematic Review of Cross-Diagnostic Studies

Background: Bipolar Disorder (BD) and Borderline Personality Disorder (BPD) have clinically been evolving as separate disorders, though there is still debate on the nosological valence of both conditions, their interaction in terms of co-morbidity or disorder spectrum and their distinct pathophysiology. Objective: The objective of this review is to summarize evidence regarding clinical features, neuropsychological performance and neuroimaging findings from cross-diagnostic studies comparing BD and BPD, to further caracterize their complex interplay. Methods: Using PubMed, PsycINFO and TripDataBase, we conducted a systematic literature search based on PRISMA guidelines of studies published from January 1980 to September 2019 which directly compared BD and BPD. Results: A total of 28 studies comparing BD and BPD were included: 19 compared clinical features, 6 neuropsychological performance and three neuroimaging abnormalities. Depressive symptoms have an earlier onset in BPD than BD. BD patients present more mixed or manic symptoms, with BD-I differing from BPD in manic phases. BPD patients show more negative attitudes toward others and self, more conflictive interpersonal relationships, and more maladaptive regulation strategies in affective instability with separate pathways. Impulsivity seems more a trait in BPD rather than a state as in BD. Otherwise, BD and BPD overlap in depressive and anxious symptoms, dysphoria, various abnormal temperamental traits, suicidal ideation, and childhood trauma. Both disorders differ and share deficits in neuropsychological and neuroimaging findings. Conclusion: Clinical data provide evidence of overlapping features in both disorders, with most of those shared symptoms being more persistent and intense in BPD. Thus, categorical classifications should be compared to dimensional approaches in transdiagnostic studies investigating BPD features in BD regarding their respective explanatory power for individual trajectories. Systematic Review Registration: The search strategy was pre-registered in PROSPERO: CRD42018100268.

The Impact of Impulsivity and Emotional Dysregulation on Comorbid Bipolar Disorder and Borderline Personality Disorder

The symptomatic overlap between borderline personality disorder (BPD) and bipolar disorder (BD) is a topic of scientific and academic debates. Emotional dysregulation and impulsivity are common features of both disorders. Several studies have shown that both BPD and BD lie on a spectrum; others have suggested that they are separate entities that coexist.  BPD is characterized by impulsive and dangerous behaviors such as driving recklessly, inappropriate sexual behavior, eating disorders, and substance abuse. BD, during a manic episode, is known for their impulsive and risk-taking behavior like hypersexuality, excessive spending, and substance abuse.  The current literature review aims to provide an overview of the impact of impulsivity and emotional dysregulation on comorbid bipolar disorder and borderline personality disorder. Our study results showed that patients with comorbid BPD and BD struggle with impulsive actions and have difficulty controlling their emotions. They are also highly susceptible to anxiety disorders like obsessive-compulsive disorder (OCD), post-traumatic stress disorder (PTSD), and somatoform disorders. Patients with comorbid BPD and BD struggle with severe psychosocial morbidity and an increased risk of suicide. In patients with only one disease, misdiagnosis is a common phenomenon due to the overlapping symptoms of BPD and BD.

Suicide mortality after discharge from inpatient care for bipolar disorder: A 14-year Swedish national registry study

Bipolar disorder has long been associated with increased risks for suicidality; though factors associated with dying by suicide remain obscure. Here, we retrospectively examine the associations between the different phases of bipolar illness and other common comorbidities with death by suicide in the 120 days following each discharge for Swedes first admitted as inpatients for bipolar disorder during the years 2000-2014. Data on admissions and suicide deaths were extracted from the Swedish National Patient Register and the Cause of Death Register, respectively. ICD-10 diagnostic codes were used to define the phases: depressive, manic, mixed, and other; and the comorbidities: specific substance use disorders, attention deficit hyperactivity disorder, and personality disorders. Extended Cox regressions were employed to model the time to death by suicide as a function of the bipolar phases, comorbidities, and other important control variables. Our analysis included 60,643 admissions by 22,402 patients over an observation time of 15,187 person-years. Overall, 213 (35.7%) of all suicides occurred within 120 days of discharge. Upon adjustment and compared to the depressive phases, manic phases were significantly associated with a far lower hazard of dying by suicide (HR 0.34, 95% CI: 0.21-0.56, p < 0.001), though mixed phases were not (HR 0.92, 95% CI: 0.48-1.73, p = 0.957). With regard to comorbidity, only sedative use disorder remained significantly associated with dying by suicide upon adjustment (HR 2.08, 95% CI: 1.41-3.06, p = 0.001). Vigilant monitoring of patients post discharge and of prescription practices are recommended.

One Single Nucleotide Polymorphism of the TRPM2 Channel Gene Identified as a Risk Factor in Bipolar Disorder Associates with Autism Spectrum Disorder in a Japanese Population

The transient receptor potential melastatin 2 (TRPM2) is a non-specific cation channel, resulting in Ca2+ influx at warm temperatures from 34 °C to 47 °C, thus including the body temperature range in mammals. TRPM2 channels are activated by β-NAD+, ADP-ribose (ADPR), cyclic ADPR, and 2'-deoxyadenosine 5'-diphosphoribose. It has been shown that TRPM2 cation channels and CD38, a type II or type III transmembrane protein with ADP-ribosyl cyclase activity, simultaneously play a role in heat-sensitive and NAD+ metabolite-dependent intracellular free Ca2+ concentration increases in hypothalamic oxytocinergic neurons. Subsequently, oxytocin (OT) is released to the brain. Impairment of OT release may induce social amnesia, one of the core symptoms of autism spectrum disorder (ASD). The risk of single nucleotide polymorphisms (SNPs) and variants of TRPM2 have been reported in bipolar disorder, but not in ASD. Therefore, it is reasonable to examine whether SNPs or haplotypes in TRPM2 are associated with ASD. Here, we report a case-control study with 147 ASD patients and 150 unselected volunteers at Kanazawa University Hospital in Japan. The sequence-specific primer-polymerase chain reaction method together with fluorescence correlation spectroscopy was applied. Of 14 SNPs examined, one SNP (rs933151) displayed a significant p-value (OR = 0.1798, 95% CI = 0.039, 0.83; Fisher's exact test; p = 0.0196). The present research data suggest that rs93315, identified as a risk factor for bipolar disorder, is a possible association factor for ASD.