Association Between Psychiatric Comorbidities and Mortality in Epilepsy.

OBJECTIVE: To explore the impact of psychiatric comorbidities on all-cause mortality in adults with epilepsy from a cohort of patients admitted for video-EEG monitoring (VEM) over 2 decades. METHODS: A retrospective medical record audit was conducted on 2,709 adults admitted for VEM and diagnosed with epilepsy at 3 Victorian comprehensive epilepsy programs from 1995 to 2015. A total of 1,805 patients were identified in whom the record of a clinical evaluation by a neuropsychiatrist was available, excluding 27 patients who died of a malignant brain tumor known at the time of VEM admission. Epilepsy and lifetime psychiatric diagnoses were determined from consensus opinion of epileptologists and neuropsychiatrists involved in the care of each patient. Mortality and cause of death were determined by linkage to the Australian National Death Index and National Coronial Information System. RESULTS: Compared with the general population, mortality was higher in people with epilepsy (PWE) with a psychiatric illness (standardized mortality ratio [SMR] 3.6) and without a psychiatric illness (SMR 2.5). PWE with a psychiatric illness had greater mortality compared with PWE without (hazard ratio 1.41, 95% confidence interval 1.02-1.97) after adjusting for age and sex. No single psychiatric disorder by itself conferred increased mortality in PWE. The distribution of causes of death remained similar between PWE with psychiatric comorbidities and those without. CONCLUSION: The presence of comorbid psychiatric disorders in adults with epilepsy is associated with increased mortality, highlighting the importance of identifying and treating psychiatric comorbidities in these patients.

Mortality in patients with psychogenic nonepileptic seizures.

OBJECTIVE: To investigate the hypothesis that patients diagnosed with psychogenic nonepileptic seizures (PNES) on video-EEG monitoring (VEM) have increased mortality by comparison to the general population. METHODS: This retrospective cohort study included patients evaluated in VEM units of 3 tertiary hospitals in Melbourne, Australia, between January 1, 1995, and December 31, 2015. Diagnosis was based on consensus opinion of experienced epileptologists and neuropsychiatrists at each hospital. Mortality was determined in patients diagnosed with PNES, epilepsy, or both conditions by linkage to the Australian National Death Index. Lifetime history of psychiatric disorders in PNES was determined from formal neuropsychiatric reports. RESULTS: A total of 5,508 patients underwent VEM. A total of 674 (12.2%) were diagnosed with PNES, 3064 (55.6%) with epilepsy, 175 (3.2%) with both conditions, and 1,595 (29.0%) received other diagnoses or had no diagnosis made. The standardized mortality ratio (SMR) of patients diagnosed with PNES was 2.5 (95% confidence interval [CI] 2.0-3.3). Those younger than 30 had an 8-fold higher risk of death (95% CI 3.4-19.8). Direct comparison revealed no significant difference in mortality rate between diagnostic groups. Among deaths in patients diagnosed with PNES (n = 55), external causes contributed 18%, with 20% of deaths in those younger than 50 years attributed to suicide, and "epilepsy" was recorded as the cause of death in 24%. CONCLUSIONS: Patients diagnosed with PNES have a SMR 2.5 times above the general population, dying at a rate comparable to those with drug-resistant epilepsy. This emphasizes the importance of prompt diagnosis, identification of risk factors, and implementation of appropriate strategies to prevent potential avoidable deaths.

Psychometric properties of the Hospital Anxiety and Depression Scale in an inpatient video-monitoring epilepsy cohort.

BACKGROUND: People with epilepsy (PWE) have high rates of comorbid anxiety disorders and depressive disorders, from 25% in general population cohorts to rates of 55% in people with treatment resistant epilepsy. High rates are also seen in patients with psychogenic nonepileptic seizures (PNES). Depressive disorders and anxiety disorders in PWE are associated with decreased quality of life measures and are the strongest risk factors for increased suicidality, rates of which are markedly elevated in PWE, at 12%, compared to the general Australian population (1.8%). The Hospital Anxiety and Depression Scale (HADS) is one of the more commonly used screening tools in medical populations. Past studies of the HADS in general outpatient populations with epilepsy have demonstrated promising validity for detecting depression. OBJECTIVES: The following were the objectives of the study: 1. To examine the validity of HADS in detecting depressive disorders and anxiety disorders in an inpatient population of patients admitted for video monitoring. 2. To investigate the measurement structure of the HADS across the diagnosis groups of epilepsy subtypes and PNES. METHODS: This was a retrospective cohort study of 485 patients admitted to a tertiary epilepsy video electroencephalography (EEG) monitoring unit. All patients received clinical neurological, neuropsychiatric, and neuroimaging assessments to arrive at consensus epilepsy and psychiatric diagnoses. Clinical psychiatric diagnosis of depressive disorders and anxiety disorders, based on the assessment of a neuropsychiatrist, were compared to accepted HADS cutoff scores for these conditions. FINDINGS: Of the 485 patients, 229 patients were with epilepsy, 28 had both epilepsy and PNES, and 121 had PNES. In 107 cases, no definite diagnosis could be made. At a cutoff score of 7 HADS was able to significantly classify patients with depression (area under the curve [AUC] = 0.79, 95% confidence interval [CI] = 0.72-0.82) with a sensitivity of 70% and a specificity of 83%. A similar result was observed for anxiety disorders; a cutoff score of 7 (AUC = 0.75, 95% CI = 0.72-0.81) was able to significantly classify anxiety disorders in patients with a sensitivity of 88% and specificity of 54%. CONCLUSIONS: This study has found that HADS measures two separate, yet correlated, constructs of anxiety disorders and depressive disorders. Our results indicate that while the HADS is sensitive to distress in this population, relatively low cutoff scores would be required to achieve highly sensitive screening. This sample includes patients with a diagnosis of epilepsy and/or PNES, and thus, the findings have clinical applicability to screening in tertiary epilepsy video-EEG monitoring units where both these conditions frequently co-occur.

Clozapine v. first- and second-generation antipsychotics in treatment-refractory schizophrenia: systematic review and meta-analysis.

BACKGROUND: Although clozapine is the 'gold standard' for treatment-refractory schizophrenia, meta-analyses of clozapine for this condition are lacking. AIMS: We conducted a systematic review and meta-analysis of clozapine treatment for people with treatment-refractory schizophrenia. METHOD: We searched the Cochrane Schizophrenia Group's trial register, PubMed and EMBASE and hand-searched key papers for randomised controlled trials of clozapine for treatment-refractory schizophrenia. RESULTS: Twenty-one papers with 25 comparisons were included. The number needed to treat was 9. Clozapine was superior for positive symptoms in both the short and long term. In the short term only clozapine was superior for total and negative symptoms, with higher response rates. Both funding source and dosage affected results. Higher baseline psychosis scores predicted better outcomes for clozapine in a meta-regression. CONCLUSIONS: Clozapine is superior for treatment-refractory disorder but if there is no response by 6 months medications with lower adverse reactions should be considered.