Predicting depression outcomes throughout inpatient treatment using the general and specific personality disorder factors.

BACKGROUND: Clinical intuition suggests that personality disorders hinder the treatment of depression, but research findings are mixed. One reason for this might be the way in which current assessment measures conflate general aspects of personality disorders, such as overall severity, with specific aspects, such as stylistic tendencies. The goal of this study was to clarify the unique contributions of the general and specific aspects of personality disorders to depression outcomes. METHODS: Patients admitted to the Menninger Clinic, Houston, between 2012 and 2015 (N = 2352) were followed over a 6-8-week course of multimodal inpatient treatment. Personality disorder symptoms were assessed with the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, 4th edition Axis II Personality Screening Questionnaire at admission, and depression severity was assessed using the Patient Health Questionnaire-9 every fortnight. General and specific personality disorder factors estimated with a confirmatory bifactor model were used to predict latent growth curves of depression scores in a structural equation model. RESULTS: The general factor predicted higher initial depression scores but not different rates of change. By contrast, the specific borderline factor predicted slower rates of decline in depression scores, while the specific antisocial factor predicted a U shaped pattern of change. CONCLUSIONS: Personality disorder symptoms are best represented by a general factor that reflects overall personality disorder severity, and specific factors that reflect unique personality styles. The general factor predicts overall depression severity while specific factors predict poorer prognosis which may be masked in prior studies that do not separate the two.

Association of TPH1 and serotonin transporter genotypes with treatment response for suicidal ideation: a preliminary study.

Variants in three genes coding for components of the serotonergic system, the tryptophan hydroxylase 1 (TPH1) rs1799913, serotonin transporter (SLC6A4) 5-HTTLPR, and serotonin receptor 2A (HTR2A) rs6311, were evaluated for association with suicidal ideation (SI) and with recovery from SI in a psychiatric inpatient population. Five hundred and eighty-two adult inpatients, including 390 patients who had SI, collected from December 2012 to April 2016 were assessed. SI recovery, calculated as change in SI between the first two-week period after admission and weeks 5 and 6, was appraised for association with the three variants. In this preliminary study, both TPH1 and 5-HTTLPR genotypes were associated with recovery (TPH1: recessive model, increased recovery with AC genotype, P = 0.026; additive model, increased recovery with AC genotype, P = 0.037; 5-HTTLPR: recessive model, increased recovery with AC, P = 0.043). When patients with comorbid alcohol use disorder (AUD) were removed, given that TPH1 has been associated with alcoholism, the associations of those recovered from SI with TPH1 rs1799913 remained significant for the additive (increased recovery with AC, P = 0.045) and recessive (increased recovery with C-carriers, P = 0.008) models, and with 5-HTTLPR using the dominant model (increased recovery with S'S', P = 0.016). In females, an association of SI recovery with TPH1 rs1799913 was found using a recessive model (increased recovery with C-carriers, P = 0.031), with 5-HTTLPR using additive (increased recovery with L'S', P = 0.048) and recessive (increased recovery with S'S', P = 0.042) models. Additionally, an association of SI with TPH1 rs1799913 was found in females using both additive (increased risk in AC, P = 0.033) and recessive (increased risk in C-carriers, P = 0.043) models, and with 5-HTTLPR using a recessive model (increased risk in S'S', P = 0.030). This study provides evidence that variation in the TPH1 and serotonin transporter genes play key roles in moderating recovery from SI during treatment in an inpatient psychiatric clinic.

"Operator syndrome": A unique constellation of medical and behavioral health-care needs of military special operation forces.

OBJECTIVE: U.S. military special operation forces represent the most elite units of the U.S. Armed Forces. Their selection is highly competitive, and over the course of their service careers, they experience intensive operational training and combat deployment cycles. Yet, little is known about the health-care needs of this unique population. METHOD: Professional consultations with over 50 special operation forces operators (and many spouses or girlfriends) over the past 6 years created a naturalistic, observational base of knowledge that allowed our team to identify a unique pattern of interrelated medical and behavioral health-care needs. RESULTS: We identified a consistent pattern of health-care difficulties within the special operation forces community that we and other special operation forces health-care providers have termed "Operator Syndrome." This includes interrelated health and functional impairments including traumatic brain injury effects; endocrine dysfunction; sleep disturbance; obstructive sleep apnea; chronic joint/back pain, orthopedic problems, and headaches; substance abuse; depression and suicide; anger; worry, rumination, and stress reactivity; marital, family, and community dysfunction; problems with sexual health and intimacy; being "on guard" or hypervigilant; memory, concentration, and cognitive impairments; vestibular and vision impairments; challenges of the transition from military to civilian life; and common existential issues. CONCLUSIONS: "Operator Syndrome" may be understood as the natural consequences of an extraordinarily high allostatic load; the accumulation of physiological, neural, and neuroendocrine responses resulting from the prolonged chronic stress; and physical demands of a career with the military special forces. Clinical research and comprehensive, intensive immersion programs are needed to meet the unique needs of this community.

Altered habenula to locus coeruleus functional connectivity in past anorexia nervosa suggests correlation with suicidality: a pilot study.

PURPOSE: Despite anorexia nervosa having the highest mortality rate of mental illnesses, little is known regarding the brain mechanisms involved. Given that lack of interest for food in anorexic patients is related to alterations in the reward system, we tested the hypothesis that patients with past anorexia nervosa (pAN) have altered resting state functional connectivity (RSFC) between the habenula (a major component of the reward system) and its targets. METHODS: RSFC between the habenula and major targets (locus coeruleus, median and dorsal raphe nuclei, substantia nigra, and ventral tegmental area) was studied in 14 psychiatric inpatients with pAN and 14 psychiatric inpatient controls (PC, never-anorexic patients in same clinic, matched for comorbidities). Next, we tested possible correlations between RSFC and suicidal ideation, depression, and anxiety as determined by self-report questionnaires. RESULTS: Left habenula/locus coeruleus RSFC was lower in pAN patients compared to PC. The left habenula/locus coeruleus RSFC was positively correlated with suicidal ideation (past 2 months) in pAN patients, but not in controls. CONCLUSIONS: pAN patients showed long lasting alterations in habenular connectivity. This may have clinical implications, possibly including future evaluation of the habenula as a therapeutic target and the need to carefully monitor suicidality in pAN patients. NO LEVEL OF EVIDENCE: Basic science.

Resting-State Functional Connectivity of the Habenula in Mood Disorder Patients With and Without Suicide-Related Behaviors.

The habenula is a small midbrain structure that is important for brain signaling and learning from negative events. Thus, the habenula is strongly connected to both the reward system and motor regions. Increasing evidence suggests a role for the habenula in the etiology of psychiatric disorders, including mood and substance use disorders. However, no studies to date have investigated habenular resting-state functional connectivity (rsFC) in suicide-related behaviors (SB). The authors enrolled 123 individuals with major depressive disorder (MDD) or bipolar disorder and a history of suicide-related behaviors (SB+), 74 individuals with MDD or bipolar disorder and a history of suicidal ideation but no history of SB (SB-), and 75 healthy control subjects (HC). A seed-based approach was used to identify regions showing different rsFC with the habenula followed by region of interest to region of interest post hoc comparisons. Compared with both the SB- and HC groups, the SB+ group showed higher connectivity between the left habenula and the left parahippocampal gyrus, the right amygdala, and the right precentral and postcentral gyri. Patients with mood disorders displayed higher rsFC between the left habenula and left middle temporal gyrus, the left angular gyrus, and the left posterior cingulate cortex, as well as lower rsFC between the right habenula and the left thalamus, when compared with HCs. These findings suggest that the habenula is involved in the neural circuitry of suicide. The higher habenular rsFC found in the SB+ group may mediate a dysfunction in the mechanism that links the habenula with motor activity and contextual associative processing.

Clinical utility of the DSM-5 alternative model for borderline personality disorder: Differential diagnostic accuracy of the BFI, SCID-II-PQ, and PID-5.

BACKGROUND: With the publication of DSM 5 alternative model for personality disorders it is critical to assess the components of the model against evidence-based models such as the five factor model and the DSM-IV-TR categorical model. This study explored the relative clinical utility of these models in screening for borderline personality disorder (BPD). METHODS: Receiver operator characteristics and diagnostic efficiency statistics were calculated for three personality measures to ascertain the relative diagnostic efficiency of each measure. A total of 1653 adult inpatients at a specialist psychiatric hospital completed SCID-II interviews. Sample 1 (n=653) completed the SCID-II interviews, SCID-II Questionnaire (SCID-II-PQ) and the Big Five Inventory (BFI), while Sample 2 (n=1,000) completed the SCID-II interviews, Personality Inventory for DSM5 (PID-5) and the BFI. RESULTS: BFI measure evidenced moderate accuracy for two composites: High Neuroticism+ low agreeableness composite (AUC=0.72, SE=0.01, p<0.001) and High Neuroticism+ Low+Low Conscientiousness (AUC=0.73, SE=0.01, p<0.0001). The SCID-II-PQ evidenced moderate-to-excellent accuracy (AUC=0.86, SE=0.02, p<0.0001) with a good balance of specificity (SP=0.80) and sensitivity (SN=0.78). The PID-5 BPD algorithm (consisting of elevated emotional lability, anxiousness, separation insecurity, hostility, depressivity, impulsivity, and risk taking) evidenced moderate-to-excellent accuracy (AUC=0.87, SE=0.01, p<0.0001) with a good balance of specificity (SP=0.76) and sensitivity (SN=0.81). CONCLUSIONS: Findings generally support the use of SCID-II-PQ and PID-5 BPD algorithm for screening purposes. Furthermore, findings support the accuracy of the DSM 5 alternative model Criteria B trait constellation for diagnosing BPD. Limitations of the study include the single inpatient setting and use of two discrete samples to assess PID-5 and SCID-II-PQ.

A Novel Approach to Identifying a Neuroimaging Biomarker for Patients With Serious Mental Illness.

Serious mental illness (SMI) is disabling, and current interventions are ineffective for many. This exploratory study sought to demonstrate the feasibility of applying topological data analysis (TDA) to resting-state functional connectivity data obtained from a heterogeneous sample of 235 adult inpatients to identify a biomarker of treatment response. TDA identified two groups based on connectivity between the prefrontal cortex and striatal regions: patients admitted with greater functional connectivity between these regions evidenced less improvement from admission to discharge than patients with lesser connectivity between them. TDA identified a potential biomarker of an attenuated treatment response among inpatients with SMI. Insofar as the observed pattern of resting-state functional connectivity collected early during treatment is replicable, this potential biomarker may indicate the need to modify standard of care for a small, albeit meaningful, percentage of patients.

Increased habenular connectivity in opioid users is associated with an α5 subunit nicotinic receptor genetic variant.

BACKGROUND AND OBJECTIVES: Opioid use disorder (OUD) is a chronic disorder with relapse based on both desire for reinforcement (craving) and avoidance of withdrawal. The aversive aspect of dependence and relapse has been associated with a small brain structure called the habenula, which expresses large numbers of both opioid and nicotinic receptors. Additionally, opioid withdrawal symptoms can be induced in opioid-treated rodents by blocking not only opioid, but also nicotinic receptors. This receptor co-localization and cross-induction of withdrawal therefore might lead to genetic variation in the nicotinic receptor influencing development of human opioid dependence through its impact on the aversive components of opioid dependence. METHODS: We studied habenular resting state functional connectivity with related brain structures, specifically the striatum. We compared abstinent psychiatric patients who use opioids (N = 51) to psychiatric patients who do not (N = 254) to identify an endophenotype of opioid use that focused on withdrawal avoidance and aversion rather than the more commonly examined craving aspects of relapse. RESULTS: We found that habenula-striatal connectivity was stronger in opioid-using patients. Increased habenula-striatum connectivity was observed in opioid-using patients with the low risk rs16969968 GG genotype, but not in patients carrying the high risk AG or AA genotypes. CONCLUSIONS: We propose that increased habenula-striatum functional connectivity may be modulated by the nicotinic receptor variant rs16969968 and may lead to increased opioid use. SCIENTIFIC SIGNIFICANCE: Our data uncovered a promising brain target for development of novel anti-addiction therapies and may help the development of personalized therapies against opioid abuse. (Am J Addict 2017;26:751-759).

Improvements in Somatic Complaints Among Individuals With Serious Mental Illness Receiving Treatment in a Psychiatric Hospital.

OBJECTIVE: Individuals with serious mental illness (SMI) experience significant comorbid somatic complaints. Little is known about response to integrated inpatient care that addresses psychiatric and general medical needs among individuals with SMI. METHODS: Latent growth curve analyses were used to model somatic symptom trajectories across adult inpatients with SMI (n = 989). The Patient Health Questionnaire-15 (PHQ-15) was administered at admission, every 14 days, and at discharge. RESULTS: Patients evidenced substantial reduction in somatization from admission (mean [standard deviation] = 9.0 [5.2]) to discharge (mean [standard deviation] = 5.2 [4.4]), with large effects (d = 0.83, 95% confidence interval = 0.76-0.90). Results indicate nonlinear improvement in somatic symptoms for 8 weeks of treatment, with greatest symptom reduction occurring during the first weeks of treatment with continued, albeit slowed, improvement until discharge. Initial PHQ-15 scores were lower among men and those who reported regular exercise in the 30 days preceding this hospitalization. In addition, presence of an anxiety disorder or personality disorder at admission; history of trauma, a gastrointestinal disorder, or major medical illness (within the past 3 months); and significant sleep disturbance independently contribute to higher PHQ-15 scores at admission. A substance use disorder and sleep disturbance were associated with greater immediate symptom reduction. CONCLUSIONS: Somatic complaints can be managed in the context of inpatient psychiatric care integrated with 24-hour nursing and internal medicine specialists. Addressing psychiatric impairments, improving sleep, and ensuring abstinence from drugs and alcohol are associated with significant improvement in somatic complaints.

Disentangling depression and anxiety in relation to neuroticism, extraversion, suicide, and self-harm among adult psychiatric inpatients with serious mental illness.

OBJECTIVES: Little is known about depression-anxiety comorbidity and its association with personality traits and suicide/self-harm in adult psychiatric inpatients with serious mental illness (SMI), impacting clinical assessment and treatment. This study sought to determine the symptom structure of depression-anxiety comorbidity and its relation to neuroticism, extraversion, and suicide/self-harm behaviour in this high-risk population. DESIGN: Nine hundred and sixty-two adults receiving inpatient care at a private psychiatric hospital completed questionnaires at admission. METHODS: Confirmatory factor analyses compared a bifactor solution specifying a general distress factor and two specific depression and anxiety factors against unidimensional and correlated factors solutions. The bifactor solutions' factors were subsequently correlated with neuroticism and extraversion subscales and pre-hospitalization suicide/self-harm behaviours. RESULTS: The bifactor model rendered superior fit to sample data and a robust general factor - accounting for 77.61% of common item variance - providing the first evidence for a tripartite structure of depression and anxiety among adult inpatients. The bifactor solution-outputted independent general distress, depression, and anxiety factors positively correlated with neuroticism, the personality dimension corresponding to trait negative affectivity. The general distress and depression factors associated with recent self-harm, but factors showed no associations with prior suicidal behaviour. CONCLUSIONS: In adult psychiatric inpatients, general distress substantially underlies comorbid depression and anxiety symptom variation and may contribute to recent incidence of self-harm. Transdiagnostic assessments and interventions targeting general distress may temper depression, anxiety, and self-harm in adult inpatients. PRACTITIONER POINTS: Clinical implications Depression-anxiety comorbidity symptomology in adult psychiatric inpatients is primarily composed of general distress. General distress and specific depression are associated with recent self-harm but not suicidal behaviour. Assessing and treating general distress rather than depression or anxiety specifically may best mitigate comorbid depression and anxiety, and reduce self-harm behaviour in this clinical population. Cautions and limitations The large sample lacked ethnocultural diversity, and data were cross-sectional. The use of brief self-report measures to assess depression and anxiety may have reduced measurement range.

Predicting response to intensive multimodal inpatient treatment: a comparison of single- and multiple-class growth modeling approaches.

In a modest body of research, personality functioning assessed via performance-based instruments has been found to validly predict treatment outcome and, to some extent, differential response to treatment. However, state-of-the-science longitudinal and mixture modeling techniques, which are common in many areas of clinical psychology, have rarely been used. In this article, we compare multilevel growth curve modeling (MLM) and latent class growth modeling (LCGM) approaches with the same data set to illustrate the different research questions that can be addressed by each method. Global Assessment of Functioning (GAF) scores collected at 6 points during the course of a long-term multimodal inpatient treatment of 58 severely and persistently mentally ill adults were used to model the trajectory of treatment outcome. Pretreatment Rorschach-based markers of personality functioning and other markers of psychiatric severity were examined as covariates in each modeling approach. The results of both modeling approaches generally indicated that more psychologically impaired clients responded less favorably to treatment. The LCGM approach revealed 2 unique trajectories of improvement (a persistently low group and a higher starting, improving group). Personality functioning and baseline psychiatric variables significantly predicted group membership and the rate of change within the groups. A side-by-side examination of these 2 methods was found to be useful in predicting differential treatment response with personality functioning variables.

Sociability and attachment as distinct domains of the interpersonal relationships factor of the BASIS-24.

The Behavior and Symptom Identification Scale (BASIS-24) was administered to 1972 patients in a private psychiatric hospital specializing in intensive treatment of several weeks' duration. The study was designed to investigate the factor structure in a large inpatient population with a high burden of psychiatric illness. While largely replicating previous factor analyses, the study unexpectedly yielded two factors from the items comprising the interpersonal relationships factor, which were interpreted as assessing sociability and attachment. These two new factors showed differential relationships with other measures of interpersonal functioning (Inventory of Interpersonal Problems) and attachment (Relationship Questionnaire), and both factors were sensitive to improvement over the course of intensive inpatient treatment. These results suggest that different treatment interventions might be employed to target these two separable domains of potentially problematic interpersonal functioning.

History of childhood physical abuse is associated with gut microbiota diversity among adult psychiatric inpatients.

BACKGROUND: Traumatic life events are associated with the development of psychiatric and chronic medical illnesses. This exploratory study examined the relationship between traumatic life events and the gut microbiota among adult psychiatric inpatients. METHODS: 105 adult psychiatric inpatients provided clinical data and a single fecal sample shortly after admission. A modified version of the Stressful Life Events Screening Questionnaire was used to quantify history of traumatic life events. 16S rRNA gene sequencing was used to analyze the gut microbial community. RESULTS: Gut microbiota diversity was not associated with overall trauma score or any of the three trauma factor scores. Upon item-level analysis, history of childhood physical abuse was uniquely associated with beta diversity. Linear Discriminant Analysis Effect Size (LefSe) analyses revealed that childhood physical abuse was associated with abundance of distinct bacterial taxa associated with inflammation. LIMITATIONS: This study did not account for dietary differences, though diet was highly restricted as all participants were psychiatric inpatients. Absolute variance accounted for by the taxa was small though practically meaningful. The study was not powered for full subgroup analysis based on race and ethnicity. CONCLUSIONS: This study is among the first to demonstrate a relationship between childhood physical abuse and gut microbiota composition among adult psychiatric patients. These findings suggest that early childhood adverse events may have long-conferred systemic consequences. Future efforts may target the gut microbiota for the prevention and/or treatment of psychiatric and medical risk associated with traumatic life events.

Differential co-expression networks of the gut microbiota are associated with depression and anxiety treatment resistance among psychiatric inpatients.

BACKGROUND: Comorbid anxiety and depression are common and are associated with greater disease burden than either alone. Our recent efforts have identified an association between gut microbiota dysfunction and severity of anxiety and depression. In this follow-up, we applied Differential Co-Expression Analysis (DiffCoEx) to identify potential gut microbiota biomarker(s) candidates of treatment resistance among psychiatric inpatients. METHODS: In a sample of convenience, 100 psychiatric inpatients provided clinical data at admission and discharge; fecal samples were collected early during the hospitalization. Whole genome shotgun sequencing methods were used to process samples. DiffCoEx was used to identify clusters of microbial features significantly different based on treatment resistance status. Once overlapping features were identified, a knowledge-mining tool was used to review the literature using a list of microbial species/pathways and a select number of medical subject headlines (MeSH) terms relevant for depression, anxiety, and brain-gut-axis dysregulation. Network analysis used overlapping features to identify microbial interactions that could impact treatment resistance. RESULTS: DiffCoEx analyzed 10,403 bacterial features: 43/44 microbial features associated with depression treatment resistance overlapped with 43/114 microbial features associated with anxiety treatment resistance. Network analysis resulted in 8 biological interactions between 16 bacterial species. Clostridium perfringens evidenced the highest connection strength (0.95). Erysipelotrichaceae bacterium 6_1_45 has been most widely examined, is associated with inflammation and dysbiosis, but has not been associated with depression or anxiety. CONCLUSION: DiffCoEx potentially identified gut bacteria biomarker candidates of depression and anxiety treatment-resistance. Future efforts in psychiatric microbiology should examine the mechanistic relationship of identified pro-inflammatory species, potentially contributing to a biomarker-based algorithm for treatment resistance.

Personality trait domains predict psychiatric symptom and functional outcomes.

A review of high intensity, high dose mentalization-based inpatient psychiatric treatment indicated large effect-size reductions in symptoms of depression, anxiety, somatization, and improving emotion-regulation functioning (Allen et al., 2017). This study examined the impact of pathological personality traits has on baseline symptoms and functioning, as well as their impact on the longitudinal course in a large cohort of adult inpatient psychiatric sample (N = 804). The Personality Inventory for DSM-5 (PID-5; Krueger et al., 2012) was used to assess trait domains impact on longitudinal outcomes (anxiety, depression, somatic symptoms, and functional impairment) using hierarchical repeated measures modeling. Results indicate Negative Affectivity and Detachment were related to higher admission severity in all four outcome domains. Psychoticism was related to somatic symptoms, while Antagonism and Disinhibition were related to functional impairment. Paradoxically, when symptoms were plotted over 2-week intervals during hospitalization, patients with higher admission PID-5 trait scores exhibited greater improvement over time. The PID-5 appears to contribute to prediction of treatment outcome response above and beyond demographic and burden of illness. Importantly, the findings add to a growing body of literature indicating that impairments in personality traits do not preclude positive treatment response, particularly when treatments target pathological personality features. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Functional Rehabilitation: An Integrated Treatment Model for Patients With Complex Physical and Psychiatric Conditions.

The health care delivery system in the United States, structured to provide single-disease care, presents unique challenges for patients with complex physical and psychiatric comorbidities. Patients in these populations are often referred to multiple specialty clinics, encounter little continuity of care or collaboration among their providers, incur high health care costs, and experience poor treatment outcomes. Given these barriers, questions remain about the extent to which siloed and fragmented care, as opposed to the complex nature of the illnesses themselves, contribute to poor outcomes. If given the opportunity to receive well-integrated, consistent, and personalized care, can patients with historically difficult-to-treat comorbid medical and mental illnesses make progress? This article describes an innovative model of care called functional rehabilitation that is designed to address existing barriers in treatment. The functional rehabilitation program seeks to disrupt the escalating effects of interacting comorbidities by offering highly collaborative treatment from a small team of clinicians, personalized interventions using a shared decision-making framework, multipronged treatment options, colocation in a large hospital system, and significant 1:1 time with patients. The article includes a case example with longitudinal outcome data that illustrates how progress can be made with appropriate programmatic supports. Future research should examine the cost-effectiveness of this model of care.

A Naturalistic Study of Time to Recovery in Adults with Treatment-refractory Disorders.

Objectives: Individuals with treatment-refractory disorders have high comorbidity. There is little information on whether recovery is possible and how long it might require. We focused on the individual's recovery using a broad measure of psychopathology, regardless of the variety of disorders present.Methods: We recruited 226 adults [mean age 31.0, SD = 10.3; 75.2% female] entering residential treatment for treatment-refractory disorders to delineate their course and outcome. Individuals received periodic Longitudinal Interval Follow-along Evaluation interviews for symptoms and functioning variables for up to 14 years. Periodic psychodynamic and relationship vignette interviews were rated with the Psychodynamic Conflict Rating Scales (PCRS) for a subgroup of 54 subjects. Outcome variables included modeled rates of change, final scores, time to recovery, and time to attaining healthy adaptive functioning, using Kaplan-Meier estimates from time-to-event analyses.Results: Recovery of PCRS Pathological Functioning occurred in 12 (22%) of 54 subjects rated: median time-to-recovery = 11.63 years (CI: 9.64- upper number not calculable). Eight (14.81%) subjects also developed healthy adaptive functioning, with the time-to-attainment for the first quartile at 10.95 years (CI: 7.87 - upper bound not calculable). Recovery from psychopathology was significantly associated with a median percentage recovered in the domains of symptoms (64.29%), functioning (87.50%), and psychodynamic functioning (50%). Although attaining healthy adaptive functioning was less common, it was highly associated with already achieving recovery from dynamic psychopathology, [OR = 57.40, CI 5.80 - 567.83, p = .0001].Conclusions: These results provided convergent validation of recovery in psychodynamic psychopathology. Some recovered individuals also attained healthy adaptive functioning, which took somewhat longer.

Attachment Style Mediates the Relationship between Trauma and Somatic Distress among Individuals with Serious Mental Illness.

Objective: Individuals with mental illnesses severe enough to require psychiatric hospitalization often have significant trauma histories, have developed maladaptive attachment styles, and experience comorbid somatic distress. Gaining an understanding about the interaction of such factors may lead to prioritizing interventions that target factors that mediate the relationship between trauma and adverse somatic distress. Prior research has examined various mediation models, but results have been mixed and conducted only on outpatient samples.Method: Participants (47.7% female) in a large sample (N = 2702) with a mean age of 34.62 (SD = 14.7) were enrolled in a specialist inpatient program and completed self-report measures pertaining to demographics, attachment insecurity, lifetime trauma exposure, and somatic distress within 72 hours of admission. The dimensions of attachment insecurity (i.e., attachment anxiety and attachment avoidance) were tested as parallel mediators in the relationship between lifetime trauma exposure and somatic distress.Results: The mediation analyses revealed that attachment anxiety and avoidance partially mediated the relationship between lifetime trauma exposure and somatic distress.Conclusions: These results are the first to date to implicate both attachment anxiety and avoidance as mediators between trauma exposure and somatic distress in a high acuity sample. Although the results do not imply causality, they do call attention to social-cognitive factors related to somatic distress and highlight the importance of considering attachment styles as a possible contributor to comorbid physical symptoms in patients with trauma exposure.

Improving Psychiatric Care Through Integrated Digital Technologies.

This manuscript provides an overview of our efforts to implement an integrated electronic monitoring and feedback platform to increase patient engagement, improve care delivery and outcome of treatment, and alert care teams to deterioration in functioning. Patients First utilizes CareSense, a digital care navigation and data collection system, to integrate traditional patient-reported outcomes monitoring with novel biological monitoring between visits to provide patients and caregivers with real-time feedback on changes in symptoms such as stress, anxiety, and depression. The next stage of project development incorporates digital therapeutics (computerized therapeutic interventions) for patients, and video resources for primary care physicians and nurse practitioners who serve as the de facto front line for psychiatric care. Integration of the patient-reported outcomes monitoring with continuous biological monitoring, and digital supports is a novel application of existing technologies. Video resources pushed to care providers whose patients trigger a symptom severity alert is, to our knowledge, an industry first.

Diagnostic accuracy of DSM-5 borderline personality disorder criteria: Toward an optimized criteria set.

OBJECTIVE: The polythetic system used by the Diagnostic and Statistical Manual for Mental Disorders (DSM-5) for diagnosing borderline personality disorders (BPD) is far from optimal; however, accumulated research and clinical data are strong enough to warrant ongoing utilization. This study examined diagnostic efficiency of the nine DSM-IV BPD criteria, then explored the feasibility of an optimized criteria set in classifying BPD. METHODS: Adults (N=1,623) completed the Structured Clinical Interviews for DSM-IV Axis II Disorders resulting in a BPD group (n=352) and an inpatient psychiatric control group (PC) with no personality disorders (n=1,271). Receiver operator characteristics and diagnostic efficiency statistics were calculated to ascertain the relative diagnostic efficiency of each DSM-5 BPD criterion in classifying BPD cases. RESULTS: Affective instability (Criterion 6) evidenced the strongest capacity to differentiate the groups (AUC = .84, SE = .01, p < .0001). Abandonment fears (Criterion 1), unstable relationships (Criterion 2), identity disturbance (Criterion 3), impulsivity (Criterion 4), and chronic emptiness (Criterion 7) yielded good-to-moderate discrimination (AUC range = .75-.79). A composite index of these six criteria yielded excellent accuracy (AUC = .98, SE = .002, p < .0001), sensitivity (SN=.99), and specificity (SP=.90). CONCLUSIONS: The current findings add to evidence that affective instability is a useful gate criterion for screening, and the optimized criteria set evidences equivalent accuracy to the original 9 criteria, with a substantial reduction in estimated heterogeneity (from 256 combinations with the original set to 42 combinations with the optimized set).