Digital conversations about depression among Hispanics and non-Hispanics in the US: a big-data, machine learning analysis identifies specific characteristics of depression narratives in Hispanics.

BACKGROUND: Digital conversations can offer unique information into the attitudes of Hispanics with depression outside of formal clinical settings and help generate useful information for medical treatment planning. Our study aimed to explore the big data from open-source digital conversations among Hispanics with regard to depression, specifically attitudes toward depression comparing Hispanics and non-Hispanics using machine learning technology. METHODS: Advanced machine-learning empowered methodology was used to mine and structure open-source digital conversations of self-identifying Hispanics and non-Hispanics who endorsed suffering from depression and engaged in conversation about their tone, topics, and attitude towards depression. The search was limited to 12 months originating from US internet protocol (IP) addresses. In this cross-sectional study, only unique posts were included in the analysis and were primarily analyzed for their tone, topic, and attitude towards depression between the two groups using descriptive statistical tools. RESULTS: A total of 441,000 unique conversations about depression, including 43,000 (9.8%) for Hispanics, were posted. Source analysis revealed that 48% of conversations originated from topical sites compared to 16% on social media. Several critical differences were noted between Hispanics and non-Hispanics. In a higher percentage of Hispanics, their conversations portray "negative tone" due to depression (66% vs 39% non-Hispanics), show a resigned/hopeless attitude (44% vs. 30%) and were about 'living with' depression (44% vs. 25%). There were important differences in the author's determined sentiments behind the conversations among Hispanics and non-Hispanics. CONCLUSION: In this first of its kind big data analysis of nearly a half-million digital conversations about depression using machine learning, we found that Hispanics engage in an online conversation about negative, resigned, and hopeless attitude towards depression more often than non-Hispanic.

Digital conversations about suicide among teenagers and adults with epilepsy: A big-data, machine learning analysis.

OBJECTIVE: Digital media conversations can provide important insight into the concerns and struggles of people with epilepsy (PWE) outside of formal clinical settings and help generate useful information for treatment planning. Our study aimed to explore the big data from open-source digital conversations among PWE with regard to suicidality, specifically comparing teenagers and adults, using machine learning technology. METHODS: Advanced machine-learning empowered methodology was used to mine and structure open-source digital conversations of self-identifying teenagers and adults who endorsed suffering from epilepsy and engaged in conversation about suicide. The search was limited to 12 months and included only conversations originating from US internet protocol (IP) addresses. Natural language processing and text analytics were employed to develop a thematic analysis. RESULTS: A total of 222 000 unique conversations about epilepsy, including 9000 (4%) related to suicide, were posted during the study period. The suicide-related conversations were posted by 7.8% of teenagers and 3.2% of adults in the study. Several critical differences were noted between teenagers and adults. A higher percentage of teenagers are: fearful of "the unknown" due to seizures (63% vs 12% adults), concerned about social consequences of seizures (30% vs 21%), and seek emotional support (29% vs 19%). In contrast, a significantly higher percentage of adults show a defeatist ("given up") attitude compared to teenagers (42% vs 4%). There were important differences in the author's determined sentiments behind the conversations among teenagers and adults. SIGNIFICANCE: In this first of its kind big data analysis of nearly a quarter-million digital conversations about epilepsy using machine learning, we found that teenagers engage in an online conversation about suicide more often than adults. There are some key differences in the attitudes and concerns, which may have implications for the treatment of younger patients with epilepsy.

Psychiatric Comorbidities in Pediatric Epilepsy.

PURPOSE OF REVIEW: Psychiatric comorbidities are close to 5-times higher in children and youth with epilepsy (CYE) compared to general population. With epilepsy being one of the most common neurological disorders in children, we provide a timely review of psychiatric issues in CYE. RECENT FINDINGS: A meta-analysis found a pooled prevalence of anxiety in 18.9% and depression in 13.5% of CYE. Attention deficit hyperactivity disorder (ADHD) is 2.5 to 5.5 times higher in CYE compared to healthy counterparts. Recent evidence highlights that behavioral adverse effects may lead to discontinuation of anti-epileptic drugs (AEDs) in more than 10% of CYE. Up to 70% CYE shows elevation in baseline psychological symptoms after AED initiation. Identifying psychiatric symptoms can be easily accomplished by the routine use of psychiatric screening instruments in CYE clinics, which is associated with improved health-related quality of life (HRQOL). Psychoeducation is a key component for any visit with CYE. There is some evidence of the effectiveness of behavioral psychological interventions for CYE. There are no therapeutic trials of psychotropics in CYE, but treatment recommendations based on the experience in adults with epilepsy and general population are applicable. Early diagnosis and management of psychiatric comorbidities leads to improvement in HRQOL of CYE. This requires routine screening and a multidisciplinary teamwork.

Screening for suicidality and its relation to undiagnosed psychiatric comorbidities in children and youth with epilepsy.

INTRODUCTION: Depression and anxiety are the most common psychiatric comorbidities in children and youth with epilepsy (CYE) and known to contribute to suicidality among them. However, not much is known about suicidality in CYE without established psychiatric comorbidities. Our research aimed to fill this knowledge gap and correlate this latent suicidality with screening tests for depression and anxiety. METHOD: After Institutional Review Board (IRB) approval, CYE who attended the epilepsy clinic or underwent testing in the pediatric epilepsy monitoring unit at the Cleveland Clinic and lacked established psychiatric diagnosis were enrolled. They filled out self-reported, validated scales for screening of depression, anxiety, and suicidality (Center for Epidemiological Studies Depression Scale for Children [CES-DC], Screen for Child Anxiety Related Emotional Disorders [SCARED], and Ask Suicide-Screening Questions [ASQ], respectively). Univariate descriptive statistics along with χ2 test of association and independent Student's t-test were performed for statistical analysis. RESULTS: A total of 119 (54.6% females) CYE were included in the study. Close to a third (30.2%) of CYE were positive for anxiety on SCARED, and 41.2% were positive for depression based on CSE-DC scoring. A total of 13 (10.9%) CYE indicated suicidality by answering at least one positive response on ASQ. The SCARED had a low positive correlation with the ASQ (r = 0.32) but a moderate positive correlation with the CES-DC (r = 0.64). CONCLUSION: We found that a small but significant 11% of CYE without any established psychiatric diagnosis expressed suicidality on a self-reported questionnaire. This highlights the importance of using psychiatry screening tests in all CYE. Future research using a larger, diversified cohort is needed to confirm our findings.

Pins and PNES: Systematic content analysis of Pinterest for information on psychogenic nonepileptic seizures (PNES).

Pinterest is a visual search based, the fourth largest social networking site in the U.S. with 81% of its users being women. Because of Pinterest's popularity and the high incidence of psychogenic nonepileptic seizures (PNES) among women, the aim of our current study was to perform a thorough content analysis of information available about PNES on Pinterest. The systematic search of Pinterest using various PNES related keywords revealed 57 unique pins. This was followed by content analysis by two independent reviewers. Most (87.7%) pins included in the final analysis reported at least one factor indicative of PNES. Most common were the consistent association of PNES with emotional triggers (61.4%), history of current or remote abuse (57.9%), and seizure's unresponsiveness to antiepileptic drugs (38.6%). Semiology of PNES was reported in 77.2% pins and two-thirds (66.6%) mentioned diagnostic procedures. Psychogenic nonepileptic seizure treatment and prognosis were reported in 68.4% and 56.1% pins, respectively. Around one-third of pins were from academic resources. More than 80% of pins targeted lay people with the primary aim of education and awareness and used a neutral or positive tone. To our knowledge, even though most pins have scientifically sound information, this widely popular web-based resource seems to be underutilized by academia, healthcare workers, and stakeholders for the dissemination of awareness about PNES.

Sibling-Controlled Study of Parental Bonding, Coping, and Urgent Health-Care Use in Families With Children With Nonepileptic Seizures.

Objectives: Pediatric psychogenic nonepileptic seizures (PNES) is a functional somatic symptom condition with significant health-care service burden. While both family and individual factors play an important role in the development and maintenance of PNES, little is known about what predicts urgent health-care use in families with children who have PNES. The aim of the current study was to explore whether child coping and parental bonding styles influence the decision to seek urgent medical care in these families. Methods: Data were analyzed from youth of age 8-18 years, 47 with PNES, and their 25 sibling controls. Parents provided the number of youth emergency room visits and hospitalizations in the preceding year. Youth completed a questionnaire about their coping styles and a measure about their mothers' and fathers' bonding styles. Using a mixed model with family as a random effect, we regressed urgent health-care use on participant type (youth with PNES or sibling), parental bonding style, and youth coping style, controlling for number of child prescription medications. Results: Higher urgent health-care use was associated with having PNES, coping via monitoring, and perceiving one's father to be rejecting and overprotective. Lower urgent health-care use was associated with coping via venting and with perceiving one's mother to be caring and overprotective. Conclusions: This study provides preliminary empirical support for family-based clinical efforts to reduce child urgent health-care use by enhancing effective child coping skills and improving parental response to child impairment and distress in families with youth with PNES.

Risk factors for learning problems in youth with psychogenic non-epileptic seizures.

OBJECTIVES: This study examined the risk factors for learning problems (LP) in pediatric psychogenic non-epileptic seizures (PNES) and their specificity by comparing psychopathology, medical, cognitive/linguistic/achievement, bullying history, and parent education variables between subjects with PNES with and without LP and between subjects with PNES and siblings with LP. METHODS: 55 subjects with PNES and 35 siblings, aged 8-18years, underwent cognitive, linguistic, and achievement testing, and completed somatization and anxiety sensitivity questionnaires. A semi-structured psychiatric interview about the child was administered to each subject and parent. Child self-report and/or parent report provided information on the presence/absence of LP. Parents also provided each subject's medical, psychiatric, family, and bullying history information. RESULTS: Sixty percent (33/55) of the PNES and 49% (17/35) of the sibling subjects had LP. A multivariable logistic regression demonstrated that bullying and impaired formulation of a sentence using a stimulus picture and stimulus word were significantly associated with increased likelihood of LP in the PNES youth. In terms of the specificity of the LP risk factors, a similar analysis comparing LP in the youth with PNES and sibling groups identified anxiety disorder diagnoses and bullying as the significant risk factors associated with LP in the PNES youth. CONCLUSIONS: These findings emphasize the need to assess youth with PNES for LP, particularly if they have experienced bullying, have linguistic deficits, and meet criteria for anxiety disorder diagnoses.

A multisite controlled study of risk factors in pediatric psychogenic nonepileptic seizures.

OBJECTIVE: Psychogenic nonepileptic seizures (PNES) in youth are symptoms of a difficult to diagnose and treat conversion disorder. PNES is associated with high medical and psychiatric morbidity, but specific PNES risk factors in the pediatric population are not known. We examined if youth with PNES have a distinct biopsychosocial risk factor profile compared to their siblings and if the interrelationships between these risk factors differentiate the PNES probands from the sibling group. METHODS: This multisite study included 55 youth with a confirmed diagnosis of PNES (age range 8.6-18.4 years) and their 35 sibling controls (age range 8.6-18.1 years). A video EEG and psychiatric assessment confirmed the PNES diagnosis. Parents reported on each child's past and present medical/epilepsy, psychiatric, family, and educational history. Each child underwent a structured psychiatric interview, standardized cognitive and academic achievement testing, and completed self-report coping, daily stress, adversities, and parental bonding questionnaires. RESULTS: Compared to their siblings, the PNES probands had significantly more lifetime comorbid medical, neurological (including epilepsy), and psychiatric problems; used more medications and intensive medical services; had more higher anxiety sensitivity, practiced solitary emotional coping, and experienced more lifetime adversities. A principal components analysis of these variables identified a somatopsychiatric, adversity, epilepsy, and cognitive component. The somatopsychiatric and adversity components differentiated the probands from the siblings, and were highly significant predictors of PNES with odds ratios of 15.1 (95% CI [3.4, 67.3], and 9.5 (95% CI [2.0, 45.7]), respectively. The epilepsy and cognitive components did not differentiate between the PNES and sibling groups. SIGNIFICANCE: These findings highlight the complex biopsychosocial and distinct vulnerability profile of pediatric PNES. They also underscore the need for screening the interrelated risk factors included in the somatopsychiatric and adversity components and subsequent mental health referral for confirmation of the diagnosis and treatment of youth with PNES.

Ethical dilemmas in pediatric and adolescent psychogenic nonepileptic seizures.

To date, only a very narrow window of ethical dilemmas in psychogenic nonepileptic seizures (PNES) has been explored. Numerous distinct ethical dilemmas arise in diagnosing and treating pediatric and adolescent patients with PNESs. Important ethical values at stake include trust, transparency, confidentiality, professionalism, autonomy of all stakeholders, and justice. In order to further elucidate the ethical challenges in caring for this population, an ethical analysis of the special challenges faced in four specific domains is undertaken: (1) conducting and communicating a diagnosis of PNESs, (2) advising patients about full transparency and disclosure to community including patients' peers, (3) responding to requests to continue antiepileptic drugs, and (4) managing challenges arising from school policy and procedure. An analysis of these ethical issues is essential for the advancement of best care practices that promote the overall well-being of patients and their families.

Adverse Childhood Experiences (ACEs) in Unhoused Children Increase Odds of Psychiatric Illness, Physical Illness, and Psychiatric Admission.

Unhoused children and adolescents have high rates of adverse childhood experiences (ACEs). The objective of this study was to characterize a large cohort of unhoused children and investigate rates of psychiatric diagnoses, medical diagnoses, and utilization of emergency department (ED) resources depending on the presence of additional documented ACEs. A retrospective cohort of all unhoused children who presented to the ED of a large Midwestern health system from January 2014 to July 2019 were included. Unhoused status was determined by address field or ICD-10 code for homelessness (Z59.0). Demographics and ED visits were extracted from the electronic health record. Past medical history, ACEs, chief complaint (CC), length of stay (LOS), imaging, and labs were extracted by chart review. T-tests, chi square tests, and Fisher's exact tests were completed for each sub-analysis. Unhoused children with at least one additional ACE had higher odds of the following psychiatric disorders: depression (OR = 5.2, 95% CI = 3.4- 7.9), anxiety (OR = 3.4, 95% CI = 32.1-5.5), behavioral disorder (OR = 7.2, 95% CI = 35.1- 10.4), psychoses (OR = 6.0, 1.9-18.4), bipolar disorder (OR = 19.8, 95% CI = 34.6-84.9), suicidal ideation (OR = 8.0, 95% CI = 34.8-13.4), post-traumatic stress disorder (OR = 10.1, 95% CI = 35.4-18.6), and attention deficit hyperactive disorder (OR = 4.1, 3.0-5.7). Patients with additional documented ACEs were also more likely to have a prior psychiatric admission (p < 0.001). Unhoused children and adolescents with exposure to additional documented ACEs are more likely to have some serious psychiatric and medical diagnoses compared to other unhoused children.

Applying the Health Belief Model to Characterize Racial/Ethnic Differences in Digital Conversations Related to Depression Pre- and Mid-COVID-19: Descriptive Analysis.

BACKGROUND: The prevalence of depression in the United States is >3 times higher mid-COVID-19 versus prepandemic. Racial/ethnic differences in mindsets around depression and the potential impact of the COVID-19 pandemic are not well characterized. OBJECTIVE: This study aims to describe attitudes, mindsets, key drivers, and barriers related to depression pre- and mid-COVID-19 by race/ethnicity using digital conversations about depression mapped to health belief model (HBM) concepts. METHODS: Advanced search, data extraction, and artificial intelligence-powered tools were used to harvest, mine, and structure open-source digital conversations of US adults who engaged in conversations about depression pre- (February 1, 2019-February 29, 2020) and mid-COVID-19 pandemic (March 1, 2020-November 1, 2020) across the internet. Natural language processing, text analytics, and social data mining were used to categorize conversations that included a self-identifier into racial/ethnic groups. Conversations were mapped to HBM concepts (ie, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, and self-efficacy). Results are descriptive in nature. RESULTS: Of 2.9 and 1.3 million relevant digital conversations pre- and mid-COVID-19, race/ethnicity was determined among 1.8 million (62.2%) and 979,000 (75.3%) conversations, respectively. Pre-COVID-19, 1.3 million (72.1%) conversations about depression were analyzed among non-Hispanic Whites (NHW), 227,200 (12.6%) among Black Americans (BA), 189,200 (10.5%) among Hispanics, and 86,800 (4.8%) among Asian Americans (AS). Mid-COVID-19, a total of 736,100 (75.2%) conversations about depression were analyzed among NHW, 131,800 (13.5%) among BA, 78,300 (8.0%) among Hispanics, and 32,800 (3.3%) among AS. Conversations among all racial/ethnic groups had a negative tone, which increased pre- to mid-COVID-19; finding support from others was seen as a benefit among most groups. Hispanics had the highest rate of any racial/ethnic group of conversations showing an avoiding mindset toward their depression. Conversations related to external barriers to seeking treatment (eg, stigma, lack of support, and lack of resources) were generally more prevalent among Hispanics, BA, and AS than among NHW. Being able to benefit others and building a support system were key drivers to seeking help or treatment for all racial/ethnic groups. CONCLUSIONS: There were considerable racial/ethnic differences in drivers and barriers to seeking help and treatment for depression pre- and mid-COVID-19. As expected, COVID-19 has made conversations about depression more negative and with frequent discussions of barriers to seeking care. Applying concepts of the HBM to data on digital conversation about depression allowed organization of the most frequent themes by race/ethnicity. Individuals of all groups came online to discuss their depression. These data highlight opportunities for culturally competent and targeted approaches to addressing areas amenable to change that might impact the ability of people to ask for or receive mental health help, such as the constructs that comprise the HBM.

Real-world experience of using combinatorial pharmacogenomic test in children and adolescents with depression and anxiety.

OBJECTIVE: To evaluate the real-world impact of using a commercially available combinatorial pharmacogenomic (CPGx) test on medication management and clinical outcomes in children and adolescents treated at a tertiary care psychiatry practice. METHODS: A retrospective cohort study using our prospectively maintained database of patients undergoing CPGx testing was performed. Only patients with clinical data at the time of ordering CPGx test (pre-baseline), potential medication change visit (baseline) and 8-weeks follow-up (post-baseline) visit were included. Clinical Global Impression (CGI) scores for each visit were calculated. Appropriate statistical analysis, including one-sample t-test, paired t-test and Chi-square test was performed. RESULTS: Based on the inclusion criteria, 281 (75.9%) of the 370 patients with CPGx testing were included. Their mean age was 15.8 ± 4.5 years (111 females; 39.5%). The average number of medications significantly increased to 2.4 ± 1.2 on the post-baseline visit [t(280) = 8.34, p < 0.001). Medications were added in 123 (43.7%), replaced in 92 (32.7%) patients and remained unchanged in rest. There was no significant association between medication-related adverse effects and psychotropic medication change group (p = 0.27). The study population showed a significant improvement (p < 0.001) in the CGI severity, efficacy, and global improvement indices. CONCLUSION: In our experience of using CPGx test in a large cohort of children and adolescents during routine clinical practice, three-quarter of them underwent medication change. Additionally, we noted an improvement in clinical outcomes without impacting adverse effects. While the role of clinical judgement in medication changes in our cohort is likely, CPGx may supplement clinical decision making. However, the best use and benefit of CPGx in routine clinical practice needs further investigation.

Altmetric scores analysis reveals a high demand for psychiatry research on social media.

The aim of our study is to investigate the social and electronic media attention received by psychiatry research using the Altmetric attention scores (AAS) and the predictors of this public engagement. We analyzed all research articles published in 2016 in the top 5 impact factor-based psychiatry journals. We extracted the AAS, various media (news, Twitter, Facebook, etc.) engagements, and citations received by each article using online database. Univariate and multivariate linear regression analysis was performed. A total of 360 research articles published in JAMA Psychiatry, The Lancet Psychiatry, World Psychiatry, American Journal of Psychiatry, Psychotherapy and Psychosomatics were included. The median AAS was 44 [IQR = 15 - 146] and median citations were 26 (14-47) with a significant but weak correlation (rs = 0.43; p = 0.001) between the two metrics. The multivariate model found that the significant predictors of an 'article's higher AAS were its journal of publication, article type, and the topics addressed in the article (impact of lifestyle on mental well-being, suicide, and addiction). In conclusion, we found a very high degree of public engagement with psychiatry research, especially when compared to other medical specialties. This highlights great opportunity as well as responsibility for psychiatry research community.

Dementia, Subtype of Seizures, and the Risk of New Onset Seizures: A Cohort Study.

BACKGROUND: Seizure disorders have been identified in patients suffering from different types of dementia. However, the risks associated with the seizure subtypes have not been characterized. OBJECTIVE: To compare the occurrence and risk of various seizure subtypes (focal and generalized) between patients with and without a dementia diagnosis. METHODS: Data from 40.7 million private insured patient individual electronic health records from the U.S., were utilized. Patients 60 years of age or more from the Optum Insight Clinformatics-data Mart database were included in this study. Using ICD-9 diagnoses, the occurrence of generalized or focal seizure disorders was identified. The risk of new-onset seizures and the types of seizures associated with a dementia diagnosis were estimated in a cohort of 2,885,336 patients followed from 2005 to 2014. Group differences were analyzed using continuity-adjusted chi-square and hazard ratios with 95%confidence intervals calculated after a logistic regression analysisResults:A total of 79,561 patient records had a dementia diagnosis, and 56.38%of them were females. Patients with dementia when compared to those without dementia had higher risk for seizure disorders [Hazard ratio (HR) = 6.5 95%CI = 4.4-9.5]; grand mal status (HR = 6.5, 95%CI = 5.7-7.3); focal seizures (HR = 6.0, 95%CI = 5.5-6.6); motor simple focal status (HR = 5.6, 95%CI = 3.5-9.0); epilepsy (HR = 5.0, 95%CI = 4.8-5.2); generalized convulsive epilepsy (HR = 4.8, 95%CI = 4.5-5.0); localization-related epilepsy (HR = 4.5, 95%CI = 4.1-4.9); focal status (HR = 4.2, 95%CI = 2.9-6.1); and fits convulsions (HR = 3.5, 95%CI = 3.4-3.6). CONCLUSION: The study confirms that patients with dementia have higher risks of generalized or focal seizure than patients without dementia.

High Viewership of Videos About Teenage Suicide on YouTube.

The recent rise in suicide rate of teenagers has coincided with their increasing use of social media sites. YouTube is the social media platform most commonly used by teenagers. Recent research studies and news reports have highlighted serious concerns about the nature of information available on YouTube and its potential impact. Owing to such concerns, the aim of our study was to analyze videos about teenage suicide on YouTube and viewers' engagement with them. We conducted a comprehensive search and analyzed unique videos in the English language with ≥1,000 views. The videos were categorized and compared based on their source. The tone of top 10 comments, based on viewer engagement, was analyzed as well. Statistical analysis, including Kruskal-Wallis tests to compare the videos, was conducted. The final analysis included 413 videos, with cumulative 482,736,217 views. Close to half (48.6%) of the videos were educational, and almost a third (29.3%) were about awareness/prevention of teenage suicide. Only 8.2% of videos were from academic sources. Among the 2,500 comments analyzed, 29.5% had a positive tone, and 7.5% expressed frank suicidal ideation or explicitly sought help against such thoughts. In conclusion, the extremely high viewership of videos on teenage suicide, which overwhelmingly convey a positive message, speaks to the demand for such content online and therefore reflects an online cry for help by teenagers. On the same note, this high demand also provides us a great opportunity to engage teenagers for suicide prevention through YouTube.

Identifying, evaluating, diagnosing, and treating ADHD in minority youth.

OBJECTIVE: This literature review describes evaluation and treatment of minority youth with ADHD. METHOD: A search of databases for reports of ADHD in minority children was conducted. RESULTS: Interpretation of behavior varies among parents, as does their trust in health care providers and school personnel. Parents desire to avoid stigmatization of their children from diagnostic labels and medications. They may not understand the sequelae of inadequate treatment or fear side effects of treatment. Children respond to stimulant medication but fare better when it is combined with regularly scheduled psychosocial treatment, including education and support for parents. Financial struggles affect access, evaluation, and treatment. Community support is desperately needed to gain parental trust. Creative planning allows health care providers and neighborhood leaders to join in, benefiting the children. CONCLUSION: Quality evaluation by a competent provider, careful choice of assessment tools, clear communication with parents, and close follow-up of progress are all needed.

Patients with challenging behaviors: Communication strategies.

Some patients have behaviors that make interactions unpleasant, sometimes contributing to suboptimal outcomes and physician burnout. Understanding common difficult personality types can help doctors plan effective strategies for dealing with each, resulting in more effective communication, less stress, and better health outcomes.

Diagnosing and managing posttraumatic stress disorder.

In addition to being associated with combat, posttraumatic stress disorder (PTSD) also occurs in civilians exposed to severe trauma or serious illness. Manifestations of PTSD are varied and commonly include nonspecific physical symptoms, sleep disturbances, and psychological problems. Treatment with selective serotonin reuptake inhibitors (SSRIs) is usually effective.

Risk factors for comorbid psychopathology in youth with psychogenic nonepileptic seizures.

PURPOSE: To examine the risk factors for internalizing (anxiety, depression) and posttraumatic stress (PTSD) disorders, somatization, and anxiety sensitivity (AS) in youth with psychogenic non-epileptic seizures (PNES). METHODS: 55 probands with PNES and 35 siblings, aged 8-18 years, underwent a psychiatric interview, cognitive and language testing, and completed somatization and AS questionnaires. Parents provided the subjects' medical, psychiatric, family, and adversity history information. RESULTS: The risk factors for the probands' internalizing disorders (girls, older age of PNES onset), somatization (older age, epilepsy), and anxiety sensitivity (girls, adversities) differed from their siblings. The risk factors in the siblings, however, were similar to the general pediatric population. Proband depression was unrelated to the study's risk variables while PTSD was significantly associated with female gender and lower Full Scale IQ. CONCLUSIONS: Knowledge about the specificity of the risk factors for comorbid psychopathology in youth with PNES might facilitate their early identification and treatment.

S100B blood levels and childhood trauma in adolescent inpatients.

BACKGROUND: Serum levels of the astrocytic protein S100B have been reported to indicate disruption of the blood-brain barrier. In this study, we investigated the relationship between S100B levels and childhood trauma in a child psychiatric inpatient unit. METHOD: Levels of S100B were measured in a group of youth with mood disorders or psychosis with and without history of childhood trauma as well as in healthy controls. Study participants were 93 inpatient adolescents admitted with a diagnosis of psychosis (N = 67), or mood disorder (N = 26) and 22 healthy adolescents with no history of trauma or psychiatric illness. Childhood trauma was documented using the Life Events Checklist (LEC) and Adverse Child Experiences (ACE). RESULTS: In a multivariate regression model, suicidality scores and trauma were the only two variables which were independently related to serum S100B levels. Patients with greater levels of childhood trauma had significantly higher S100B levels even after controlling for intensity of suicidal ideation. Patients with psychotic diagnoses and mood disorders did not significantly differ in their levels of S100B. Patients exposed to childhood trauma were significantly more likely to have elevated levels of S100B (p < .001) than patients without trauma, and patients with trauma had significantly higher S100B levels (p < .001) when compared to the control group. LEC (p = 0.046), and BPRS-C suicidality scores (p = 0.001) significantly predicted S100B levels. CONCLUSIONS: Childhood trauma can potentially affect the integrity of the blood-brain barrier as indicated by associated increased S100B levels.