Coronavirus Disease (COVID-19)-Related Disseminated Leukoencephalopathy: A Retrospective Study of Findings on Brain MRI.

Among 2820 inpatients with coronavirus disease (COVID-19), 59 (2.1%) underwent brain MRI. Of them, six (10.2%) had MRI findings suspicious for COVID-19-related disseminated leukoencephalopathy (CRDL), which is characterized by extensive confluent or multifocal white matter lesions (with characteristics and locations atypical for other causes), microhemorrhages, diffusion restriction, and enhancement. CRDL is an uncommon but important differential consideration in patients with neurologic manifestations of COVID-19.

Pediatric cochlear implantation: role of language, income, and ethnicity.

OBJECTIVE: To compare post-cochlear implantation (CI) early speech perception (ESP) outcomes between a non-English speaking, ethnic minority study group and an English speaking, ethnic majority control group. STUDY DESIGN/METHODS: We performed a retrospective case-control study at an academic tertiary care children's hospital. Records were reviewed of 49 children who underwent CI from February 2005 to September 2011. Children with abnormal cognitive function (n=12), post-surgical complications (n=1), or incomplete SP testing (n=24) were excluded. The remaining 12 cases (mean implant age 4.3 y) were reviewed for language, income, ethnicity, and ESP scores. Their scores were compared to a subset of patients (n=18; mean implant age 2.2 y) serving as control from the Childhood Development after Cochlear Implantation (CDaCI) study at 1 year follow up where standard ESP testing was performed. Briefly, CDaCI includes a demographically balanced and multicenter-based pediatric cohort from which publications are beginning to define normative post-CI SP outcomes. RESULTS: Of our 12 children, 7 were Hispanic, 2 Caucasian, 2 multi-ethnicity and 1 Russian. 4 were non-English speaking, 5 spoke English as a second language, and 7 were bilingual. Three received bilateral CI. Mean early speech perception (ESP) scores (reported on a scale of 1-4) collected at 6 and 12 months in the study group were 1.71 and 1.75, respectively; in the control group, 3.83 and 3.92. At both follow up intervals the study group performed significantly worse than the control group (6 mo P=0.048, 12 mo P=0.01). CONCLUSIONS: This study suggests that among pediatric CI recipients, those from predominantly non-English speaking, socioeconomically disadvantaged backgrounds develop SP at slower than normal rates. Future interventions should be directed at overcoming these obstacles.

Seizures in the elderly: impact on mental status, mood, and sleep.

Comorbidities of epilepsy have not been well explored in the elderly. Herein, we examined mental status, mood, and sleep in elderly patients with epilepsy, compared with age- and gender-matched community controls without epilepsy from the Einstein Aging Study. Testing included a mental status test, the Blessed Information Memory and Concentration (BIMC) test; Prime-MD Patient Health Questionnaire (PHQ) Depression and Anxiety Modules; and Medical Outcomes Study Sleep Scale. Persons with epilepsy (n=31) had higher mean BIMC scores than controls (n=31, BIMC 6.3 vs.1.2, P<0.0001). Mean PHQ Depression scores were higher for cases than controls, indicating more depressive symptoms (4.2 vs 0.8, P=0.006); six cases (18%) and no controls met screening criteria for depression. Mean PHQ Anxiety scores were also higher for cases than controls (3.7 vs 0.0, P=0.001). Cases had poorer sleep scores in the categories of somnolence (P=0.009) and shortness of breath/headache (P=0.021). Thus, comorbidities of epilepsy in this elderly population included decreased mental status, a higher prevalence of depression and anxiety, and poorer sleep health when compared with agemates without epilepsy. Mental status impairment was not related to antiepileptic medication or mood disturbance. Further investigation will explore these associations prospectively.

Value of routine screening for bone demineralization in an urban population of patients with epilepsy.

BACKGROUND: Reduced bone mineral density (BMD) is increasingly recognized in patients receiving antiepileptic drug therapy. The precise prevalence is not known due to variability across populations studied. We set out to characterize the prevalence of abnormal BMD in an urban population of patients with epilepsy with the intent to determine the value of routine BMD screening. METHODS: We performed a cross-sectional study of 130 consecutive patients seen thorough our Comprehensive Epilepsy Center. BMD was measured using dual X-ray absorptiometry and was reported as T-score and Z-score. Additional information collected for each patient included age, race, gender, current and prior AEDs, ambulatory state, menopausal state, concomitant medications potentially associated with reduced bone mineralization, and comorbid illness potentially associated with reduced bone mineralization. Associations between reduced bone mineralization and variables were tested for significance using Fisher's exact test, Student's t-test, and Wilcoxon rank sum test. RESULTS: The average age of the entire study population was 43.5 (+/-12.5) years. Fifty-five percent of patients had T-score less than or equal to -1, the WHO criterion for osteopenia in postmenopausal women. The prevalence of Z-scores less than -2.0 was 15%, which is more than sixfold greater than expected. The markers for decreased BMD included older age or menopause in women, longer duration of therapy, and a history of use of phenytoin or phenobarbital. Assisted ambulation was also associated with low BMD. CONCLUSION: Our results indicate that reduced bone mineralization is prevalent and a significant health concern in an urban population of patients with epilepsy. Because of the high prevalence of reduced bone mineralization reported in numerous studies including this study, routinely screening for reduced bone mineralization is warranted in patients receiving anticonvulsant therapy.

Seizure occurrence: precipitants and prediction.

OBJECTIVE: To explore the relationship of seizure occurrence with candidate seizure precipitants in a prospective diary study, and to determine the relationship of precipitants to seizure self-prediction. METHODS: Eligible subjects were 18 or older, had localization-related epilepsy, at least one seizure within 12 months, and were able to maintain a daily diary. Information collected included the occurrence, time and characteristics of all seizures, hours of sleep, medication compliance, stress, anxiety, alcohol use, menstruation, and seizure self-prediction. Each night, subjects reported their estimate of the likelihood of a seizure the next day (self-prediction). Logit-normal models with a random subject-specific intercept were used to estimate an OR for the association of precipitants with seizure occurrence. RESULTS: Seventy-one subjects returned 15,179 complete diary days. For each hour of increased sleep on the preceding night, the relative odds of a seizure the following day decreased (OR 0.91, 95% CI 0.82, 0.99). One-unit increments of stress and anxiety (on a 10-point scale) were associated with an increased risk of seizure the following day (OR 1.06, 95% CI 1.01, 1.12 and OR 1.07; 95% CI 1.02, 1.12). With self-prediction included in the model, self-prediction (OR 3.7; 95% CI 1.8, 7.2) and hours of sleep for the night prior to the seizure (OR 0.90; 95% CI 0.82, 0.99) remained significant. CONCLUSION: Lack of sleep and higher self-reported stress and anxiety levels were associated with seizure occurrence. In a model that included self-prediction, less sleep, and self-prediction had significant effects, whereas stress and anxiety did not. The psychological and biologic mechanisms which link stress and anxiety to self-prediction of seizures requires further exploration. Ultimately, seizure prediction based on precipitants, premonitory features, and self-prediction may provide a foundation for preemptive treatment.