Harris County Department of Education

ObjectivePrevious studies have indicated a convergent and bidirectional relationship between metabolic syndrome (MetS) and bipolar disorder (BD). As most of these studies focused mainly on adults diagnosed with BD, our study aims to investigate and characterize metabolic disturbances in child-adolescents diagnosed with BD.MethodsWe retrospectively examined the medical records of psychiatric hospitalizations with admitting diagnosis of BD in child-adolescents (age < 18 years). Body mass index (BMI), lipid profile, fasting blood glucose, and blood pressure were primary variables. National Cholesterol Education Program criteria were used to define MetS. Reference group data was obtained from the National Health and Nutrition Examination Survey study. Statistical analyses included ttests, chi-square tests, and Fisher’s exact tests.ResultsWe identified 140 child-adolescent patients with BD (mean age = 15.12 ± 1.70 years, 53% male). MetS was significantly more common in BD compared to the reference group: 14% (95% confidence interval [95% CI] 8−20) vs. 6.7% (95% CI 4.1−9.2), p = 0.001 with no significant difference by sex. MetS components were higher in the BD group, particularly BMI ≥ 95% (25% vs. 11.8%, p < 0.001) and high blood pressure (17% vs. 8%, p = 0.05). Moreover, female patients had lower odds of high blood pressure (odds ratio = 0.24 [95% CI 0.08−0.69], p = 0.005).ConclusionCompared with the general child-adolescent population, the prevalence of MetS was significantly higher in patients with BD of same age. This reiterates the notion of an increased risk of MetS in patients diagnosed with BD; and thus, further exploration is warranted.

Background: Akathisia continues to be a significant challenge in current neurological and psychiatric practice. Prompt and accurate detection is often difficult and there is a lack of consensus concerning the neurobiological basis of akathisia. No definitive treatment has been established for akathisia despite numerous preclinical and clinical studies.Method:We reviewed antipsychotic-induced akathisia including its clinical presentation, proposed underlying pathophysiology, current and under investigation therapeutic strategies.Conclusion:Despite the initial promise that second generation antipsychotics would be devoid of akathisia effects, this has not been confirmed. Currently, there are limited therapeutic options for the clinical practice and the evidence supporting the most widely used treatments (beta blockers, anticholinergic drugs) is still absent or inconsistent.

Patients with schizophrenia or schizoaffective disorder have a high prevalence of comorbid cannabis use disorder (CUD). CUD has been associated with poorer outcomes in patients. We compared doses of antipsychotic medications at the time of discharge from hospital among inpatients with schizophrenia or schizoaffective disorder with or without concurrent cannabis use. We reviewed the medical records of patients (N=8157) with schizophrenia or schizoaffective disorder discharged from the hospital between 2008 and 2012. The patients were divided into two groups; those with urine drug tests positive for cannabis and those negative for cannabis. Doses of antipsychotic medications were converted to chlorpromazine equivalents. Bivariate analyses were done with Student's t test for continuous variables and χ 2 test for categorical variables. Linear regression was carried out to adjust for potential confounders. Unadjusted analysis revealed that the cannabis positive group was discharged on lower doses of antipsychotic medication compared with the cannabis negative group (geometric mean chlorpromazine equivalent doses 431.22±2.20 vs 485.18±2.21; P<0.001). However, the difference in geometric mean chlorpromazine equivalent doses between the two groups was no longer significant after adjusting for sex, age, race, and length of stay (geometric mean difference 0.99; 95% CI 0.92-1.10). Though limited by lack of information on duration, amount and severity of cannabis use, as well as inability to control for other non-antipsychotic medications, our study suggests that cannabis use did not significantly impact on doses of antipsychotics required during the periods of acute exacerbation in patients with schizophrenia or schizoaffective disorder.

ObjectiveIn bipolar disorder, dysregulation of mood may result from white matter abnormalities that change fiber tract length and fiber density. There are few studies evaluating the white matter microstructural changes in bipolar I patients (BD) with depressive episodes. The present study aimed to evaluate anterior corona radiata in BD patients with depressive episode using Diffusion Tensor Imaging (DTI).MethodsTwenty-one patients with bipolar depression and 19 healthy controls were investigated and groups were matched for age and gender. Diffusion-weighted echoplanar brain images (DW-EPI) were obtained using a 1.5 T MRI scanner. Regions of interest (ROIs) were manually placed on directional maps based on principal anisotropy. Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values of white matter were measured in the anterior corona radiata (ACR) bilaterally by diffusion tensor imaging.ResultsThere was not a significant difference between groups of age and gender (p>0.05). Significantly lower FA was observed in bilateral ACR in bipolar patients with depression compared with healthy individuals. And there is significantly higher ADC values in the left frontal corona radiate in bipolar patients.ConclusionWhite matter abnormalities can be detected in patients with BD using DTI. The neuropathology of these abnormalities is unclear, but neuronal and axonal loss, myelin abnormalities and reduced white matter fiber density are likely to be relevant.

To elucidate disparities in clinical and legal documentation for patients admitted involuntarily to a county psychiatric hospital in Texas. The study sample comprised of 89 randomly selected patients, involuntarily hospitalized to our facility in September 2011. All patients met criteria for involuntary detention based on the legal documents filed by admitting psychiatrists. Electronic medical records were reviewed to assess if the clinical documentation from the same date when legal documents were filed; demonstrated criteria for involuntary detention (harm to self, harm to others, inability to care for self). A logistic regression model was used to assess the predictors of concordance between legal and clinical documentation of involuntary detention criteria. Of 89, 6 patients were made voluntary, while two were discharged within 24 h, thus removed from the analysis pool. Of 81, 31(38.2 %) patients lacked sufficient clinical documentation on medical records required for involuntary hospitalization. Patients, for whom detention was justified in clinical notes, were more likely to have single marital status, longer duration of hospitalization and they were more likely to undergo commitment for further inpatient mental health treatment. Our study found that involuntary detention of many patients based on the legal documents filed by admitting psychiatrists was not justified by the clinical documentation. This indicates that appropriate standards are not maintained when completing the medical certificates for involuntary detention. Maintaining appropriate standards may reduce the need for involuntary hospitalization, increase patient autonomy, and reduce resource utilization.

Psychiatrist's evaluations of residents are the primary means of determining whether the residents are ready to be promoted. However, the return rate for evaluations is quite low. The purpose of this study was to increase the return rates. Feedback from two surveys and open discussion was utilized to develop and implement a system for increasing completion rates. Completion rates before and after the intervention were compared. The survey revealed that the initial evaluation form was too complex and not readily available. In addition, participants indicated that reminders would be helpful for increasing compliance. Completion rates were 48% and 80% for the 4 months prior and after the intervention, respectively. Addressing the problem and implementing suggested strategies increased completion rates significantly. However, it is unclear which strategy was most associated with the change. Future directions will focus on determining whether gains will be maintained and what would be necessary to obtain 100% compliance rates.