Understanding TBI as a Risk Factor Versus a Means of Suicide Death Using Electronic Health Record Data.

OBJECTIVE: The aim of this research was to examine predictors and characterize causes of suicide death in people with traumatic brain injury (TBI) and conduct sensitivity analyses with and without people whose first diagnosis of TBI occurred within 3 days of their suicide death. METHODS: This case-control study examined suicide risk for people with TBI in eight Mental Health Research Network-affiliated healthcare systems. Sample 1 included 61 persons with TBI who died by suicide and their 75 matched controls with TBI who did not die by suicide between January 1, 2000, and December 31, 2013. Sample 2 excluded the 34 persons with TBI whose first TBI diagnosis occurred within 3 days of their suicide death and their 46 matched controls. Descriptive statistics characterized the sample stratified by cases and controls, while conditional logistic regression models estimated the adjusted odds of suicide. RESULTS: Over half of suicide deaths occurred within 3 days of a person's first diagnosis of TBI in the larger sample. After excluding these persons, people with TBI were 2.84 (95% confidence interval [CI]: 2.15-2.73) times more likely to die by suicide than were people without TBI. Among those with TBI, men were 16.39 times (95% CI: 1.89-142.15) more likely to die by suicide than were women. CONCLUSIONS: Accounting for TBI as a potential consequence of suicide attenuates the association between TBI and suicide, but a robust association persists-especially among men. Ultimately, all people with TBI should be carefully screened and monitored for suicide risk.HIGHLIGHTSPeople with traumatic brain injury (TBI) were at considerably elevated risk for suicide deathMen with TBI had significantly increased risk of suicide death compared to women with TBITBI timing suggests confusion of risk factors for and consequences of suicide.

Cognition/Psychological Burden and Resilience in Cutaneous T-Cell Lymphoma and Psoriasis Patients: Real-Life Data and Implications for the Treatment.

Background: Psoriasis and cutaneous T-cell lymphoma (CTCL) expose patients to chronic inflammation as well as physical and psychological disabilities, but the impact of such alterations on cognitive function is unknown. Objective: This study is aimed at determining if CTCL and psoriasis impact cognitive functioning in relation to psychological and health-related quality of life (HR-QOL) status. Methods: A cross-sectional study was performed in an outpatient dermatology clinic of a university teaching hospital. Thirty-nine subjects with CTCL (N = 20) or psoriasis (N = 19) who met eligibility criteria were included. The cognitive domains of memory, attention and processing speed, and executive function were assessed with standard neuropsychological tests. Subjects were assessed for depression, anxiety, and HR-QOL (using the SKINDEX-29 questionnaire). Results: Study participants were CTCL and psoriasis subjects; cognitive impairment was found in the domain of memory in 17.9% subjects with CTCL or psoriasis. Lower scores on executive function tests were predicted by higher (worse HR-QOL) SKINDEX-29 functioning scores (p = 0.01). A higher estimated baseline intellectual functioning predicted lower scores (better HR-QOL) on the symptoms and functioning domains of SKINDEX-29 (p = 0.01 and 0.02, respectively) and a statistical trend (p = 0.07) for the emotion domain. Memory and acute anxiety were adversely impacted by shorter disease duration (p = 0.01 for both). Conclusions: Memory impairment may be associated comorbidity in CTCL and psoriasis. Subjects with stronger cognitive resources appear to cope better with health-related quality of life (HR-QOL) challenges.

The Impact of Socioeconomic Status, Race/Ethnicity, and Patient Perceptions on Medication Adherence in Depression Treatment.

OBJECTIVE: Nonadherence to pharmacotherapy for psychiatric conditions is associated with poor outcomes, including increased risk of relapse, increased health care costs, and reduced quality of life. The objective of this study was to investigate the strength of association between socioeconomic factors, race/ethnicity, and patient perceptions with medication adherence in individuals with depression. METHODS: Baseline surveys were sent out in 2012 to 4,216 adult patients within a large health system who presented with a clinical diagnosis of major depressive disorder (ICD-9), recorded at least twice in the electronic medical record in the year 2011. A total of 1,573 patients responded to the baseline survey. Of those, 1,209 patients who completed the survey and had used antidepressants in the last 12 months were recruited for the study. Perception of medication risk was assessed using the Beliefs About Medicines Questionnaire, and adherence to medications was assessed using the Morisky Medication Adherence Scale. Logistic regression was used to investigate the relationship between perception of medicine risk and treatment adherence. RESULTS: For non-Hispanic white individuals, medication adherence was higher among those who were least concerned about the risk of medications (64%; 95% CI, 58-70) compared to those who were most concerned (34%; 95% CI, 26-43). In the logistic regression model, less concern about medications and their side effects was associated with higher medication adherence (odds ratio = 2.6; 95% CI, 1.77-3.84; P < .0001). This association remained significant after adjustment for age, race, education level, and extramedical use of other medications or substances. Moreover, patients with older age and lower education level as well as those who were non-Hispanic white and had no extramedical use of other medications/substances were more likely to be adherent to medications. CONCLUSIONS: This study contributes quantitative data on factors that impact treatment adherence. Identifying patients at increased risk of nonadherence, having discussions with patients early in the treatment process to understand their concerns regarding treatment options, being sensitive to cultural beliefs, and patiently proceeding with the decision-making process could help ensure better outcomes.